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	<title>Libellula</title>
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		<title>Libellula at the World Machinery Open House: the link between the technical department and production</title>
		<link>https://libellula.eu/en/news/libellula-at-the-world-machinery-open-house-the-link-between-the-technical-department-and-production/</link>
					<comments>https://libellula.eu/en/news/libellula-at-the-world-machinery-open-house-the-link-between-the-technical-department-and-production/#respond</comments>
		
		<dc:creator><![CDATA[Silvia]]></dc:creator>
		<pubdate>Fri, 26 Jun 2026 11:08:45 +0000</pubdate>
				<category><![CDATA[News]]></category>
		<guid ispermalink="false">https://libellula.eu/?p=9746</guid>

					<description><![CDATA[<p>In the world of metal fabrication and precision manufacturing, operational efficiency and data integration make the difference between simply carrying out production and a truly profitable process. Very often, in fact, the real bottleneck is not the machine itself, but the fragmented flow of information between the design office and the production department. […]</p>
<p>L'articolo <a href="https://libellula.eu/en/news/libellula-at-the-world-machinery-open-house-the-link-between-the-technical-department-and-production/">Libellula al World Machinery Open House: il ponte tra ufficio tecnico e produzione</a> proviene da <a href="https://libellula.eu/en">Libellula</a>.</p>
]]></description>
										<content:encoded><![CDATA[<div data-elementor-type="wp-post" data-elementor-id="9746" class="elementor elementor-9746" data-elementor-post-type="post">
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									<p>In the world of metal fabrication and precision manufacturing, operational efficiency and data integration make the difference between simply carrying out production and a truly profitable process. Very often, in fact, the real bottleneck is not the machine itself, but the fragmented flow of information between the design office and the production department.</p>
<p>To demonstrate how an integrated software architecture can overcome these operational limitations simply and effectively, Libellula will be taking part in the upcoming <span style="font-weight: bolder;">World Machinery Open House</span>, scheduled for <span style="font-weight: bolder;">1 and 2 July</span>, from the <span style="font-weight: bolder;">9.00 am to 5.00 pm</span>.</p>
<p>A leading international event, designed to enable industry professionals to discover our software ecosystem, which has been developed to digitise and connect the entire production process.</p>								</div>
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									<span class="elementor-button-text">Register for the World Machinery Open House</span>
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<h4><span style="font-size: 21.296px;">Rather than viewing software as a stand-alone tool, Libellula’s strategy has evolved towards an approach that is entirely focused on </span><strong style="font-size: 21.296px;">MES</strong><span style="font-size: 21.296px;">. At our demo stations, visitors will be able to discover how a single, seamless architecture can link all the company’s operational stages.</span></h4>
<p class="wp-block-paragraph"></p>
<p class="wp-block-paragraph">In just a few steps, we’ll show you how to:</p>
<p></p>
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<li><strong>Optimising production times</strong>, eliminating the need for manual adjustments to the nesting and cutting layouts.</li>
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</li>
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<p></p>
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<li><strong>Connecting all departments</strong>, creating a continuous flow of data between intelligent order management, the import of 3D CAD models and the company’s existing ERP system.</li>
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</li>
</ul>
<p></p>
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<li style="list-style-type: none;">
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<li><strong>Gaining full control of production</strong>, thanks to real-time monitoring and automated reporting, thereby eliminating uncertainties in day-to-day operations.</li>
</ul>
</li>
</ul>
<p></p>
<p></p>
<h2 id="h-le-soluzioni-protagoniste-dell-evento" class="wp-block-heading">The solutions taking centre stage at the event</h2>
<p></p>
<p class="wp-block-paragraph">Over the course of the two days, our technicians will be conducting practical, in-depth demonstrations focusing on the main Libellula product ranges, designed for cutting flat sheet metal and processing tubes.</p>
<p></p>
<h3 id="h-libellula-cut" class="wp-block-heading"><a href="https://libellula.eu/en/software/libellula-cut/">Libellula.CUT</a></h3>
<p></p>
<p class="wp-block-paragraph">Designed specifically for cutting flat sheet metal, <strong>Libellula.CUT</strong> enables you to get the most out of your material. During the demonstrations, we will show how our advanced nesting algorithms automatically optimise sheet metal utilisation, simplify scrap management and drastically reduce programming times, providing the machine with ready-to-use cutting data directly.</p>
<p></p>
<figure class="wp-block-image size-large"><img fetchpriority="high" decoding="async" width="1024" height="726" class="wp-image-9747" src="https://libellula.eu/wp-content/uploads/2026/06/CUT-EN-1024x726.jpg" alt="" srcset="https://libellula.eu/wp-content/uploads/2026/06/CUT-EN-1024x726.jpg 1024w, https://libellula.eu/wp-content/uploads/2026/06/CUT-EN-300x213.jpg 300w, https://libellula.eu/wp-content/uploads/2026/06/CUT-EN-768x545.jpg 768w, https://libellula.eu/wp-content/uploads/2026/06/CUT-EN-1536x1090.jpg 1536w, https://libellula.eu/wp-content/uploads/2026/06/CUT-EN-18x12.jpg 18w, https://libellula.eu/wp-content/uploads/2026/06/CUT-EN.jpg 1748w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>
<p></p>
<h3 id="h-libellula-tube" class="wp-block-heading"><a href="https://libellula.eu/en/software/libellula-tube-2/">Libellula.TUBE</a></h3>
<p></p>
<p class="wp-block-paragraph">In the tube processing sector, speed and precision are essential, particularly when complex 3D assemblies need to be handled quickly. <strong>Libellula.TUBE</strong> It provides an intuitive CAD/CAM environment that allows you to easily import STEP or IGES files and immediately calculate the optimal cutting paths.</p>
<p></p>
<p class="wp-block-paragraph">Whether dealing with round tubes, closed sections or open structural sections, the software automatically optimises the nesting directly on the bars. Thanks to the comprehensive 3D simulation, it is possible to prevent errors on the machine and significantly reduce material waste.</p>
<p></p>
<figure class="wp-block-image size-large"><img decoding="async" width="1024" height="726" class="wp-image-9748" src="https://libellula.eu/wp-content/uploads/2026/06/TUBE-EN-1024x726.jpg" alt="" srcset="https://libellula.eu/wp-content/uploads/2026/06/TUBE-EN-1024x726.jpg 1024w, https://libellula.eu/wp-content/uploads/2026/06/TUBE-EN-300x213.jpg 300w, https://libellula.eu/wp-content/uploads/2026/06/TUBE-EN-768x545.jpg 768w, https://libellula.eu/wp-content/uploads/2026/06/TUBE-EN-1536x1090.jpg 1536w, https://libellula.eu/wp-content/uploads/2026/06/TUBE-EN-18x12.jpg 18w, https://libellula.eu/wp-content/uploads/2026/06/TUBE-EN.jpg 1748w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>
<p></p>
<h2 id="h-dove-trovare-il-team-libellula" class="wp-block-heading">Where to find the Libellula team</h2>
<p></p>
<p class="wp-block-paragraph">We look forward to welcoming you and showing you how our solutions can provide practical support for your company’s growth.</p>
<p></p>
<p class="wp-block-paragraph">During the World Machinery Open House, you will be able to meet the Libellula team in two dedicated areas:</p>
<p></p>
<p class="wp-block-paragraph"><strong>Software Demo Station</strong><br>Located within the main exhibition area, it will be the place to go to watch software demonstrations, learn more about the interface’s features and speak directly to our technicians.</p>
<p></p>
<p class="wp-block-paragraph"><strong>Live demonstrations on the machines</strong><br>You will be able to see the Libellula software in action directly on World Machinery machines, witnessing first-hand its speed of operation and the seamless integration between the software and the production line.</p>
<p></p>
<h2 id="h-prenota-la-tua-demo-dedicata" class="wp-block-heading">Get your own personalised demo</h2>
<p></p>
<p class="wp-block-paragraph">It only takes a few minutes’ demonstration to gain a real understanding of the value that Libellula can bring to your production process. Whether you want to resolve a specific bottleneck or completely rethink your workflow, we look forward to seeing you at the <strong>World Machinery Open House</strong>.</p>
<p></p>
<p class="wp-block-paragraph">To ensure you have a dedicated session with our experts and to avoid any waiting times, please let us know if you’ll be attending.</p>
<p></p>								</div>
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					<a class="elementor-button elementor-button-link elementor-size-sm" href="https://worldmc.co.uk/events-open-house/">
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									<span class="elementor-button-text">Register for the World Machinery Open House</span>
					</span>
					</a>
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					</div>
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				</div><p>L'articolo <a href="https://libellula.eu/en/news/libellula-at-the-world-machinery-open-house-the-link-between-the-technical-department-and-production/">Libellula al World Machinery Open House: il ponte tra ufficio tecnico e produzione</a> proviene da <a href="https://libellula.eu/en">Libellula</a>.</p>
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		<title>Libellula Achieves Gender Equality Certification </title>
		<link>https://libellula.eu/en/projects/libellula-achieves-gender-equality-certification/</link>
					<comments>https://libellula.eu/en/projects/libellula-achieves-gender-equality-certification/#respond</comments>
		
		<dc:creator><![CDATA[Silvia]]></dc:creator>
		<pubdate>Mon, 22 Jun 2026 06:11:38 +0000</pubdate>
				<category><![CDATA[Progetti]]></category>
		<guid ispermalink="false">https://libellula.eu/?p=9642</guid>

					<description><![CDATA[<p>A concrete commitment to a fair, inclusive and sustainable working environment  Cherasco, 15 June 2026 – Libellula Srl, an Italian software house specialising in the development of software for sheet metal working, is proud to announce that it has obtained Gender Equality Certification in accordance with the UNI/PdR 125:2022 standard, issued by Bureau Veritas, one of the most authoritative certification bodies at […]</p>
<p>L'articolo <a href="https://libellula.eu/en/projects/libellula-achieves-gender-equality-certification/">Libellula ottiene la Certificazione per la Parità di Genere </a> proviene da <a href="https://libellula.eu/en">Libellula</a>.</p>
]]></description>
										<content:encoded><![CDATA[<h2 id="h-un-impegno-concreto-per-un-ambiente-di-lavoro-equo-inclusivo-e-sostenibile-nbsp" class="wp-block-heading"><strong>A concrete commitment to a fair, inclusive and sustainable working environment</strong>&nbsp;</h2>



<p class="wp-block-paragraph"><strong>Cherasco, </strong>15 June 2026 – Libellula Srl, an Italian software company specialising in the development of software for sheet metal working, is proud to announce that it has obtained the&nbsp;<strong>Gender Equality Certification in accordance with the UNI/PdR 125:2022 standard</strong>, issued by&nbsp;<strong><a href="https://www.bureauveritas.it/">Bureau Veritas</a></strong>, one of the most authoritative certification bodies at international level.&nbsp;</p>



<p class="wp-block-paragraph">This recognition is the result of an organisational process involving various departments within the company, which has transformed a cultural principle into&nbsp;<strong>concrete policies, tools and indicators</strong>&nbsp;to promote equity, inclusion and the empowerment of people.&nbsp;</p>



<p class="wp-block-paragraph">For Libellula, gender equality is not merely a regulatory objective, but an integral part of the company’s broader vision:&nbsp;<strong>innovating technology whilst keeping people at the heart of it all</strong>.&nbsp;</p>



<h2 id="h-certificazione-per-la-parita-di-genere-cosa-significa-per-libellula-nbsp" class="wp-block-heading"><strong>Gender equality certification: what does it mean for Libellula?</strong>&nbsp;</h2>



<p class="wp-block-paragraph">Practice-based certification&nbsp;<strong>UNI/PdR 125:2022</strong>&nbsp;introduces a system of indicators that enables organisations to measure and improve their equity and inclusion policies over time.&nbsp;</p>



<p class="wp-block-paragraph">The aspects analysed include:&nbsp;</p>



<ul class="wp-block-list">
<li>equal opportunities in career progression and professional development&nbsp;</li>
</ul>



<ul class="wp-block-list">
<li>transparency in recruitment processes and remuneration policies&nbsp;</li>
</ul>



<ul class="wp-block-list">
<li>support for parenting and <a href="https://libellula.eu/en/projects/1-may-the-value-of-sustainable-work-and-corporate-welfare-in-the-metal-industry/">work-life balance&nbsp;</a></li>
</ul>



<ul class="wp-block-list">
<li>promoting an inclusive corporate culture&nbsp;</li>
</ul>



<ul class="wp-block-list">
<li>continuous monitoring using KPIs and improvement targets&nbsp;</li>
</ul>



<p class="wp-block-paragraph">&nbsp;<br>In a sector such as industrial software and technology manufacturing,&nbsp;<strong>historically characterised by a strong male predominance</strong>, promoting concrete policies on gender equality is a crucial step towards creating more inclusive workplaces that are able to fully harness the talents of every individual.</p>



<figure class="wp-block-image size-large is-resized"><img decoding="async" width="1024" height="388" src="https://libellula.eu/wp-content/uploads/2026/06/UNI-PDR-125_blu_-TRACCIATI-1-1024x388.jpg" alt="" class="wp-image-9654" style="aspect-ratio:2.6392983765627918;width:746px;height:auto" srcset="https://libellula.eu/wp-content/uploads/2026/06/UNI-PDR-125_blu_-TRACCIATI-1-1024x388.jpg 1024w, https://libellula.eu/wp-content/uploads/2026/06/UNI-PDR-125_blu_-TRACCIATI-1-300x114.jpg 300w, https://libellula.eu/wp-content/uploads/2026/06/UNI-PDR-125_blu_-TRACCIATI-1-768x291.jpg 768w, https://libellula.eu/wp-content/uploads/2026/06/UNI-PDR-125_blu_-TRACCIATI-1-18x7.jpg 18w, https://libellula.eu/wp-content/uploads/2026/06/UNI-PDR-125_blu_-TRACCIATI-1.jpg 1239w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>



<h2 id="h-un-percorso-costruito-con-il-coinvolgimento-delle-persone-nbsp" class="wp-block-heading"><strong>A journey shaped by the involvement of people</strong>&nbsp;</h2>



<p class="wp-block-paragraph">One of the key elements of the project was the creation of a&nbsp;<strong>Steering Committee for Gender Equality</strong>, comprising people from various departments within the company.&nbsp;</p>



<p class="wp-block-paragraph">The committee was tasked with overseeing the entire certification process, setting out policies, objectives and monitoring tools designed to ensure that organisational practices&nbsp;<strong>increasingly transparent, inclusive and focused on continuous improvement</strong>.&nbsp;</p>



<p class="wp-block-paragraph">This work has also led to the development of internal training and awareness-raising initiatives, with the aim of strengthening a corporate culture based on respect, collaboration and shared responsibility.&nbsp;</p>



<p class="wp-block-paragraph">«<em>»Gender equality certification represents an important step in our journey towards organisational growth"</em> – he says&nbsp;<strong>Eleonora Alessandria, HR Manager at Libellula and Chair of the Steering Committee for Gender Equality</strong>.&nbsp;</p>



<p class="wp-block-paragraph"><br>«<em>»It means organising practices that affect people in an even more thoughtful way, recognising talent and creating the conditions for everyone to contribute to the company’s development.’.&nbsp;</em></p>



<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="683" src="https://libellula.eu/wp-content/uploads/2026/06/DSC6272-1024x683.jpg" alt="Gender Equality Certification" class="wp-image-9648" srcset="https://libellula.eu/wp-content/uploads/2026/06/DSC6272-1024x683.jpg 1024w, https://libellula.eu/wp-content/uploads/2026/06/DSC6272-300x200.jpg 300w, https://libellula.eu/wp-content/uploads/2026/06/DSC6272-768x512.jpg 768w, https://libellula.eu/wp-content/uploads/2026/06/DSC6272-18x12.jpg 18w, https://libellula.eu/wp-content/uploads/2026/06/DSC6272.jpg 1500w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>



<h2 id="h-innovazione-tecnologica-e-cultura-aziendale-nbsp" class="wp-block-heading"><strong>Technological innovation and corporate culture</strong>&nbsp;</h2>



<p class="wp-block-paragraph">In the field of industrial software for sheet metal working, Libellula is internationally recognised for developing advanced CAD/CAM solutions designed to manage cutting processes.&nbsp;</p>



<p class="wp-block-paragraph">Alongside technological innovation, the company has chosen over the years to invest in&nbsp;<strong>an organisational culture that prioritises people’s wellbeing</strong>, through corporate welfare initiatives, flexible working arrangements and projects aimed at improving quality of life in the workplace.&nbsp;</p>



<p class="wp-block-paragraph">These include initiatives such as&nbsp;<strong><a href="https://libellula.eu/en/projects/libellula-presents-mind-the-break/">Mind The Break</a></strong>, parenting support programmes and community partnership projects, such as our contribution to the creation of the&nbsp;<a href="https://libellula.eu/en/projects/libellula-srl-supports-the-new-nursery-school-in-roreto-di-cherasco/"><strong>new public nursery school in Roreto di Cherasco</strong>.&nbsp;</a></p>



<p class="wp-block-paragraph">Obtaining gender equality certification is therefore part of a broader process that combines&nbsp;<strong>technological innovation, social responsibility and a focus on the human aspect of work</strong>.&nbsp;</p>



<h2 id="h-un-impegno-che-guarda-al-futuro-nbsp" class="wp-block-heading"><strong>A commitment that looks to the future</strong>&nbsp;</h2>



<p class="wp-block-paragraph">For Libellula, certification is, above all,&nbsp;<strong>a long-term commitment</strong>.&nbsp;</p>



<p class="wp-block-paragraph">Promoting gender equality means creating fairer and more sustainable working environments, in which diversity and a variety of perspectives become drivers of growth and innovation.&nbsp;</p>



<p class="wp-block-paragraph">«<em>We believe that a company’s value is not measured solely by its technological achievements, but also by its ability to create inclusive and respectful working environments</em>» – he says <strong>Alberto Milanesio, General Manager of Libellula</strong>.<em> «This recognition reinforces our commitment to continuing to grow as an organisation, putting people and the values that guide our work at the heart of everything we do.». </em></p>



<p class="wp-block-paragraph">Upon obtaining the&nbsp;<strong>Gender Equality Certification</strong>, Libellula reaffirms its commitment to being not only a leading player in the manufacturing software sector, but also a company capable of combining&nbsp;<strong>innovation, inclusion and social responsibility</strong>, helping to build a fairer and more sustainable future for work.&nbsp;</p><p>L'articolo <a href="https://libellula.eu/en/projects/libellula-achieves-gender-equality-certification/">Libellula ottiene la Certificazione per la Parità di Genere </a> proviene da <a href="https://libellula.eu/en">Libellula</a>.</p>
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		<title>The 4.0 evolution of bending in sheet metal working</title>
		<link>https://libellula.eu/en/news/the-4-0-evolution-of-bending-in-sheet-metal-working/</link>
					<comments>https://libellula.eu/en/news/the-4-0-evolution-of-bending-in-sheet-metal-working/#respond</comments>
		
		<dc:creator><![CDATA[Silvia]]></dc:creator>
		<pubdate>Fri, 19 Jun 2026 13:12:14 +0000</pubdate>
				<category><![CDATA[News]]></category>
		<guid ispermalink="false">https://libellula.eu/?p=9606</guid>

					<description><![CDATA[<p>How to optimise workshop time and link the technical department with the production department using Libellula.’s bending solutions. At the very heart of any sheet metal working business, bending is one of the most delicate and strategic stages. Production managers, draughtsmen and press brake operators face complex challenges every day: calculating the flat pattern […]</p>
<p>L'articolo <a href="https://libellula.eu/en/news/the-4-0-evolution-of-bending-in-sheet-metal-working/">L’evoluzione 4.0 della piegatura nella lavorazione lamiera</a> proviene da <a href="https://libellula.eu/en">Libellula</a>.</p>
]]></description>
										<content:encoded><![CDATA[<div data-elementor-type="wp-post" data-elementor-id="9606" class="elementor elementor-9606" data-elementor-post-type="post">
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									<h3><em>How to optimise workshop time and link the technical department with the production department using Libellula.’s bending solutions</em></h3>
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<p>At the very heart of any sheet metal fabrication business, bending is one of the most delicate and strategic stages. Production managers, designers and benders face complex challenges every day: calculating the exact flat pattern of the sheet metal based on the actual tooling, identifying the correct bending sequence to avoid collisions, managing complex 3D assemblies provided by customers and, last but not least, monitoring what is happening on the production floor in real time.</p>
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<p>The solution to these operational challenges lies in an approach driven by automation and data integration, in line with Industry 4.0 principles. Thanks to Libellula’s software suite, the workflow is tracked using specific solutions and modules designed to eliminate errors and maximise productivity.</p>
<p><!-- /wp:paragraph --><!-- wp:heading {"anchor":"h-libellula-jobshop-per-la-piegatura-il-percorso-integrato-per-la-gestione-totale-della-produzione"} --></p>
<h2 id="h-libellula-jobshop-per-la-piegatura-il-percorso-integrato-per-la-gestione-totale-della-produzione" class="wp-block-heading">Libellula.JOBSHOP for bending: the integrated solution for comprehensive production management</h2>
<p><!-- /wp:heading --><!-- wp:paragraph --></p>
<p>For companies aiming for maximum efficiency and adhering to the principles of Industry 4.0, the flow of information must travel seamlessly from the sales department through to production, with constant feedback being provided to aid in performance analysis. This integrated process is known as <strong><a href="https://libellula.eu/en/software/libellula-jobshop-bend/">Libellula.JOBSHOP BEND</a></strong>, a modular and flexible ecosystem for managing the entire folding production workflow, designed around the actual operational practices of production departments and structured in sequential and synergistic steps:</p>
<p><!-- /wp:paragraph --><!-- wp:heading {"level":3,"anchor":"h-step-1-pianificazione-e-gestione-intelligente-delle-commesse"} --></p>
<h3 id="h-step-1-pianificazione-e-gestione-intelligente-delle-commesse" class="wp-block-heading"><strong>STEP 1 – Intelligent planning and management of orders</strong></h3>
<p><!-- /wp:heading --><!-- wp:paragraph --></p>
<p>The process begins in the technical department, where, thanks to <strong>mod.ORDER</strong> It is possible to organise cutting and folding orders and jobs in a structured manner. Together with the orders module, the <strong>mod.ROUTING</strong> It defines the operational and sequential routes that parts must follow through the various company departments, ensuring that all subsequent work cycles are automatically synchronised.</p>
<p><!-- /wp:paragraph --><!-- wp:heading {"level":3,"anchor":"h-step-2-flessibilita-nella-programmazione-cam-opzionale"} --></p>
<h3 id="h-step-2-flessibilita-nella-programmazione-cam-opzionale" class="wp-block-heading"><strong>STEP 2 – Flexibility in CAM programming (Optional)</strong></h3>
<p><!-- /wp:heading --><!-- wp:paragraph --></p>
<p>At this level, the ecosystem adapts to the operational strategy chosen by the company. If the aim is to maximise the efficiency of offline programming, Libellula can natively integrate its environment with the Libellula.BEND bending CAM or interface with a CAM system already in use on the production floor. However, it is also possible to continue programming directly on the machine’s CNC, without integrating any CAM software, whilst retaining the benefits of Libellula JOBSHOP’s production flow traceability.</p>
<p><!-- /wp:paragraph --><!-- wp:heading {"level":3,"anchor":"h-step-3-monitoraggio-ed-esecuzione-a-bordo-macchina"} --></p>
<h3 id="h-step-3-monitoraggio-ed-esecuzione-a-bordo-macchina" class="wp-block-heading"><strong>STEP 3 – Monitoring and execution on the machine</strong></h3>
<p><!-- /wp:heading --><!-- wp:paragraph --></p>
<p>The on-board system <strong><a href="https://libellula.eu/en/software/libellula-visio/">Libellula.VISIO</a></strong> Installed directly on the press’s numerical control unit, it will enable the progress of work to be monitored and managed on the machine in real time. With Libellula.VISIO, it is possible to manage the queue of jobs on press brakes, eliminating misunderstandings and data routing errors.</p>
<p><!-- /wp:paragraph --><!-- wp:heading {"level":3,"anchor":"h-step-4-connettivita-e-ritorno-del-dato-4-0"} --></p>
<h3 id="h-step-4-connettivita-e-ritorno-del-dato-4-0" class="wp-block-heading"><strong>STEP 4 – Connectivity and data feedback 4.0</strong></h3>
<p><!-- /wp:heading --><!-- wp:paragraph --></p>
<p>As part of Connectivity 4.0, Libellula.VISIO will work in synergy with the <strong>mod.LiveSync</strong>, the advanced connection protocol capable of retrieving information in real time directly from the numerical control unit of the cutting or bending machine.</p>
<p><!-- /wp:paragraph --><!-- wp:paragraph --></p>
<p>The real added value of Libellula.JOBSHOP BEND lies precisely in this two-way communication: the operator views their production queue on Libellula.VISIO, whilst the press brake provides constant feedback to the technical department. If a part is flagged as faulty or rejected during the bending process, the system records the outcome and ensures that the relevant information is immediately fed back to enable production to resume. In this way, the company obtains a realistic estimate of costs and an accurate record of actual processing times.</p>
<p><!-- /wp:paragraph --><!-- wp:paragraph --></p>
<p>Bridging the gap between the engineering department and production is a daily necessity that transforms workshops into environments <strong>digital </strong>intelligent.</p>
<p><!-- /wp:paragraph --><!-- wp:heading {"anchor":"h-libellula-bend-la-programmazione-nativa-per-le-presso-piegatrici"} --></p>
<h2 id="h-libellula-bend-la-programmazione-nativa-per-le-presso-piegatrici" class="wp-block-heading">Libellula.BEND: native programming for press brakes</h2>
<p><!-- /wp:heading --><!-- wp:paragraph --></p>
<p>CAM software <strong><a href="https://libellula.eu/en/software/libellula-bend/">Libellula.BEND</a></strong> It enables the configuration and programming of press brake machines entirely offline, ensuring a drastic reduction in machine downtime.</p>
<p><!-- /wp:paragraph --><!-- wp:paragraph --></p>
<p>Thanks to an extremely intuitive interface, designed for quick and easy programming, the software allows 3D models to be imported directly in STEP and IGES formats, as well as most of the native 3D CAD formats available on the market, in addition to 2D DXF and DWG models. Through an integrated simulated 3D environment and advanced algorithms, Libellula.BEND ensures:</p>
<p><!-- /wp:paragraph --><!-- wp:list --></p>
<ul class="wp-block-list">
<li style="list-style-type: none;">
<ul class="wp-block-list"><!-- wp:list-item --></ul>
</li>
</ul>
<p> </p>
<ul class="wp-block-list">
<li style="list-style-type: none;">
<ul class="wp-block-list">
<li>Calculating the exact sheet metal development by generating a DXF file based on the customer’s actual press brake set-up and tools.</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --><!-- wp:list-item --></p>
<ul class="wp-block-list">
<li style="list-style-type: none;">
<ul class="wp-block-list">
<li>Comprehensive support for the operator during the set-up stages and in the automatic or manual calculation of the optimal bending sequence to avoid collisions.</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --><!-- wp:list-item --></p>
<ul class="wp-block-list">
<li style="list-style-type: none;">
<ul class="wp-block-list">
<li>Managing advanced operations such as adding counter-folds, step folding or handling passive folds.</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --><!-- wp:list-item --></p>
<ul class="wp-block-list">
<li style="list-style-type: none;">
<ul class="wp-block-list">
<li>The radical elimination of production errors, leading to a marked improvement in overall productivity.</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --><!-- wp:list-item --></p>
<ul class="wp-block-list">
<li style="list-style-type: none;">
<ul class="wp-block-list">
<li>The generation of detailed workshop reports in PDF format and programmes ready for machine start-up.</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --></p>
<p><!-- /wp:list --><!-- wp:paragraph --></p>
<p><!-- /wp:paragraph --><!-- wp:paragraph --></p>
<p>Furthermore, Libellula.BEND integrates natively with the icon library from <a href="https://libellula.eu/en/software/libellula-cut/">Libellula.CUT</a> enabling the smooth handling of parts as they are fed into the system</p>
<p><!-- /wp:paragraph --><!-- wp:heading {"anchor":"h-libellula-bend-e-la-tecnologia-batch-amp-remote-automazione-totale-per-assemblati-complessi"} --></p>
<h2 id="h-libellula-bend-e-la-tecnologia-batch-amp-remote-automazione-totale-per-assemblati-complessi" class="wp-block-heading">Libellula.BEND and Batch&amp;Remote technology: Total automation for complex assemblies</h2>
<p><!-- /wp:heading --><!-- wp:paragraph --></p>
<p>When a metalworking shop has to handle large volumes of orders or assemblies comprising a multitude of components, processing them individually risks slowing down the workflow. The add-on module <strong>Batch&amp;Remote</strong> Libellula.BEND meets this need exactly. The software is capable of importing large numbers of individual 3D parts or automatically assembling complex assemblies, and can perform the following tasks fully automatically:</p>
<p><!-- /wp:paragraph --><!-- wp:list --></p>
<ul class="wp-block-list">
<li style="list-style-type: none;">
<ul class="wp-block-list"><!-- wp:list-item --></ul>
</li>
</ul>
<p> </p>
<ul class="wp-block-list">
<li style="list-style-type: none;">
<ul class="wp-block-list">
<li>An exploded view of the assembly, showing its individual components.</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --><!-- wp:list-item --></p>
<ul class="wp-block-list">
<li style="list-style-type: none;">
<ul class="wp-block-list">
<li>The flat pattern of the parts produced using the precise press tooling.</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --><!-- wp:list-item --></p>
<ul class="wp-block-list">
<li style="list-style-type: none;">
<ul class="wp-block-list">
<li>Automatic identification of the ideal folding sequence.</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --><!-- wp:list-item --></p>
<ul class="wp-block-list">
<li style="list-style-type: none;">
<ul class="wp-block-list">
<li>The mass creation of CNC-ready bending programmes and workshop PDF reports for each of the machined parts.</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --></p>
<p><!-- /wp:list --><!-- wp:heading {"anchor":"h-il-futuro-della-piegatura-e-flessibile-e-integrato"} --></p>
<h2 id="h-il-futuro-della-piegatura-e-flessibile-e-integrato" class="wp-block-heading">The future of bending is flexible and integrated</h2>
<p><!-- /wp:heading --><!-- wp:paragraph --></p>
<p>Integrating the Libellula modular ecosystem means choosing a workshop management system that is tailored to the company’s actual production needs, because the ultimate goal remains the same: to eliminate bottlenecks, drastically reduce machine downtime and achieve flawless cost reporting in line with Industry 4.0 principles.</p>
<p><!-- /wp:paragraph --><!-- wp:paragraph --></p>
<p><strong>Would you like to find out how to optimise your company’s folding processes?</strong></p>
<p><!-- /wp:paragraph --><!-- wp:paragraph --></p>
<p><!-- /wp:paragraph --></p>								</div>
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				</div><p>L'articolo <a href="https://libellula.eu/en/news/the-4-0-evolution-of-bending-in-sheet-metal-working/">L’evoluzione 4.0 della piegatura nella lavorazione lamiera</a> proviene da <a href="https://libellula.eu/en">Libellula</a>.</p>
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		<title>Libellula.BEND: new folding functionality</title>
		<link>https://libellula.eu/en/news/l-i-b-e-l-u-l-a-b-e-n-d/</link>
					<comments>https://libellula.eu/en/news/l-i-b-e-l-u-l-a-b-e-n-d/#respond</comments>
		
		<dc:creator><![CDATA[Silvia]]></dc:creator>
		<pubdate>Thu, 28 May 2026 06:30:49 +0000</pubdate>
				<category><![CDATA[News]]></category>
		<guid ispermalink="false">https://libellula.eu/?p=8890</guid>

					<description><![CDATA[<p>In the world of carpentry and sheet metal working, efficiency and precision make the difference between a standard process and a truly competitive one. Libellula.BEND, the CAM dedicated to offline programming of CNC press brakes, was created with precisely this objective in mind: to transform a 3D or 2D model into a ready-to-run machine programme, quickly, safely and [...]</p>
<p>L'articolo <a href="https://libellula.eu/en/news/l-i-b-e-l-u-l-a-b-e-n-d/">Libellula.BEND: nuove funzionalità per la piegatura</a> proviene da <a href="https://libellula.eu/en">Libellula</a>.</p>
]]></description>
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<p class="wp-block-paragraph">In the world of carpentry and sheet metal working, efficiency and precision make the difference between a standard process and a truly competitive one. <strong>Libellula.BEND</strong>, the <a href="https://libellula.eu/en/software/libellula-bend/">Dedicated CAM for offline programming of CNC press brakes</a>, was created with precisely this goal in mind: to transform a 3D or 2D model into a ready-to-run machine programme, quickly, safely and optimised on the actual tooling.</p>

<p class="wp-block-paragraph">Thanks to the import of the main CAD formats and the <strong>development calculation based on the tools actually used</strong>, the software<strong> automatically identifies the best folding sequences</strong>, <strong>generates documentation</strong> for the workshop and <strong>produces folding programmes</strong> ready to use, all within a simulated and controlled 3D environment.</p>

<p class="wp-block-paragraph">Today <strong><a href="https://libellula.eu/en/software/libellula-bend/">Libellula.BEND</a></strong> evolves further with <strong>new features</strong> designed to make programming even more automatic, flexible and integrated with the latest technologies.</p>

<p class="wp-block-paragraph">From <strong>support for the latest versions of 3D files </strong>at <strong>new algorithms for calculating tool set-ups</strong>, until <strong>improved performance in Batch &amp; Remote mode</strong>Each update has been developed to reduce time, increase accuracy and simplify daily work in the technical office and workshop.</p>
<hr class="wp-block-separator has-alpha-channel-opacity" />
<h2 id="h-scopri-nel-dettaglio-tutte-le-novita-di-questa-release" class="wp-block-heading">Find out in detail all the new features of this release:</h2>

<p class="wp-block-paragraph"> </p>

<h2 id="h-1-sviluppo-generale" class="wp-block-heading">1.<strong> General development</strong></h2>

<h3 id="h-supporto-per-nuove-versioni-di-file-3d" class="wp-block-heading"><strong>- Support for new versions of 3D files</strong></h3>

<p class="wp-block-paragraph">Support for new versions of 3D files has been added.</p>

<p class="wp-block-paragraph">The new versions included in this release are:</p>

<ul class="wp-block-list">
<li><strong>Acis:</strong> 2026 1.0</li>

<li><strong>Catia V5: </strong>V5-6 R2026</li>

<li><strong>3DExperience:</strong> V6 R2026x</li>

<li><strong>JT:</strong> 10.10</li>

<li><strong>NX:</strong> NX2506</li>

<li><strong>Parasolid:</strong> 38.0.X</li>

<li><strong>Creo:</strong> 12.0</li>

<li><strong>Solid Edge:</strong> SE2026</li>

<li><strong>Solidworks:</strong> 2026</li>
</ul>

<h3 id="h-denominazione-variabile-dei-file-in-multisave" class="wp-block-heading"><strong>- Variable file naming in MultiSave:</strong></h3>

<p class="wp-block-paragraph">It is now possible to dynamically define the name of files saved with MultiSave by combining customised text and available variables representing characteristics of parts, machine, material, etc.</p>

<p class="wp-block-paragraph">This makes it possible to automate the naming of files according to the characteristics of each part.</p>

<p class="wp-block-paragraph"><strong>Example:</strong></p>

<p class="wp-block-paragraph">The DXF name can be set as:</p>

<p class="wp-block-paragraph"><code>Flat_--</code></p>

<p class="wp-block-paragraph">Which could become:</p>

<p class="wp-block-paragraph"><code>Flat_ABC123-Steel-2</code></p>

<p class="wp-block-paragraph">All variables available for naming are listed in the guide below:</p>

<p class="wp-block-paragraph"><strong>Command Reference - Unfold/Bend - Manage Locations</strong></p>
<hr class="wp-block-separator has-alpha-channel-opacity" />
<h2 id="h-2-unfold" class="wp-block-heading">2. <strong>Unfold</strong></h2>

<h3 id="h-incisione-e-marcatura-etching-and-engraving-nbsp" class="wp-block-heading"><strong>- Etching and Engraving: </strong></h3>

<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="250" height="100" class="wp-image-8894" src="https://libellula.eu/wp-content/uploads/2026/03/image-1.png" alt="" srcset="https://libellula.eu/wp-content/uploads/2026/03/image-1.png 250w, https://libellula.eu/wp-content/uploads/2026/03/image-1-18x7.png 18w" sizes="(max-width: 250px) 100vw, 250px" /></figure>

<p class="wp-block-paragraph">The support for engraving and marking has been significantly improved.</p>

<p class="wp-block-paragraph">Not only the detection of these features, but also the output in DXF files is now fully configurable.</p>

<p class="wp-block-paragraph">Using correct layers and line types, 2D CAM software can automatically handle these machining operations by applying the appropriate technology.</p>

<p class="wp-block-paragraph">Depending on which side of the sheet metal the part is developed on, these features may or may not be visible in the 2D window of the developed plane.</p>

<p class="wp-block-paragraph">They will always be visible in the 3D views and DXF files generated.</p>

<p class="wp-block-paragraph">The requirements for engraving and marking can be found in the guide below:</p>

<p class="wp-block-paragraph"><strong>Technical Information - Model Conditions - Etching/Engraving</strong></p>

<h3 id="h-applicazione-automatica-degli-utensili" class="wp-block-heading"><strong>- Automatic tool application</strong></h3>

<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="180" height="65" class="wp-image-8895" src="https://libellula.eu/wp-content/uploads/2026/03/image-2.png" alt="" srcset="https://libellula.eu/wp-content/uploads/2026/03/image-2.png 180w, https://libellula.eu/wp-content/uploads/2026/03/image-2-18x7.png 18w" sizes="(max-width: 180px) 100vw, 180px" /></figure>

<p class="wp-block-paragraph">With <strong>Unfold Pro</strong>, tools can now be automatically applied to the workpiece to generate the correct developed plan.</p>

<p class="wp-block-paragraph">Previously, tools had to be selected manually; now it is possible to automate the process by defining preferred tools for any combination of material and thickness.</p>

<p class="wp-block-paragraph">The settings can be found in:</p>

<p class="wp-block-paragraph"><strong>Options - Unfold - Apply Tools</strong></p>

<p class="wp-block-paragraph">Only available with licence <strong>Unfold Pro</strong>.</p>

<p class="wp-block-paragraph">If BendSim/BendSim Pro is used, the settings are defined for each machine in <strong>Machine Settings</strong>.</p>

<h3 id="h-migliorato-il-rilevamento-degli-smussi-foro-su-entrambi-i-lati" class="wp-block-heading"><strong>- Improved detection of hole chamfers on both sides</strong></h3>

<p class="wp-block-paragraph">Holes with chamfers on both sides of the sheet metal are now detected and correctly reported in the DXF file.</p>

<p class="wp-block-paragraph">Previously, a chamfer on only one side per hole was permitted.</p>
<hr class="wp-block-separator has-alpha-channel-opacity" />
<h2 id="h-3-bendsim" class="wp-block-heading">3. <strong>BendSim</strong></h2>

<h3 id="h-ulteriore-miglioramento-del-calcolo-dei-tempi-ciclo" class="wp-block-heading"><strong>- Further improvement of cycle time calculation</strong></h3>

<p class="wp-block-paragraph">The function for calculating handling times during bending has been improved with new configuration possibilities for greater accuracy.</p>

<p class="wp-block-paragraph">The improvement is particularly noticeable when working with a wide range of thicknesses, for which settings for multiple thickness ranges can now be defined.</p>

<p class="wp-block-paragraph">The settings can be found in the <strong>Handling</strong> of <strong>Machine Settings</strong> and use the thickness intervals defined in the <strong>Material Settings</strong>.</p>

<h3 id="h-nuovi-algoritmi-per-il-calcolo-dei-set-up-utensili" class="wp-block-heading"><strong>- New algorithms for calculating tool set-ups</strong></h3>

<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="306" height="120" class="wp-image-8896" src="https://libellula.eu/wp-content/uploads/2026/03/image-3.png" alt="" srcset="https://libellula.eu/wp-content/uploads/2026/03/image-3.png 306w, https://libellula.eu/wp-content/uploads/2026/03/image-3-300x118.png 300w, https://libellula.eu/wp-content/uploads/2026/03/image-3-18x7.png 18w" sizes="(max-width: 306px) 100vw, 306px" /></figure>

<p class="wp-block-paragraph">The tool set-up calculation functions have been completely rewritten.</p>

<p class="wp-block-paragraph">This allows:</p>

<ul class="wp-block-list">
<li>Better set-ups</li>

<li>Smarter</li>

<li>Faster</li>
</ul>

<p class="wp-block-paragraph">It also allows for future developments with additional functionality.</p>

<p class="wp-block-paragraph">With the new algorithms, set-ups may be slightly different than in the past in order to:</p>

<ul class="wp-block-list">
<li>Reducing tooling times</li>

<li>Simplify part bending</li>
</ul>

<h3 id="h-impostazioni-di-posizionamento-dei-pezzi-per-macchina" class="wp-block-heading"><strong>- Workpiece positioning settings per machine</strong></h3>

<p class="wp-block-paragraph">Positioning settings (which side of the workpiece should be towards the inside of the machine) can now be defined on a per-machine basis and not just at a general level.</p>

<p class="wp-block-paragraph">Especially useful when using machines with very different characteristics.</p>

<h3 id="h-supporto-diretto-per-controller-cybelec-cybtouch" class="wp-block-heading"><strong>- Direct support for Cybelec CybTouch controller</strong></h3>

<p class="wp-block-paragraph">Control <strong>Cybelec CybTouch</strong> has been supported by Libellula.BEND for some time, but until now it was necessary to use a converter to obtain the correct format.</p>

<p class="wp-block-paragraph">Now this is no longer necessary: CybTouch programmes can be generated directly from Libellula.BEND.</p>

<p class="wp-block-paragraph">CybTouch control is selectable in the list of NC outputs available in the <strong>Machine Settings</strong>.</p>

<h3 id="h-supporto-per-sistema-di-misurazione-angolo-lvd-easy-form-laser" class="wp-block-heading"><strong>- Holder for LVD Easy-Form® Laser angle measuring system</strong></h3>

<p class="wp-block-paragraph">Libellula.BEND can now programme the angle measurement system <strong>LVD Easy-Form® Laser</strong>.</p>

<p class="wp-block-paragraph">The measurement can be programmed automatically or manually, and programmes sent to the Touch-B control will include all the information required to use this functionality.</p>
<hr class="wp-block-separator has-alpha-channel-opacity" />
<h2 id="h-4-batch-amp-remote" class="wp-block-heading">4. <strong>Batch &amp; Remote</strong></h2>

<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="121" height="120" class="wp-image-8897" src="https://libellula.eu/wp-content/uploads/2026/03/image-4.png" alt="" srcset="https://libellula.eu/wp-content/uploads/2026/03/image-4.png 121w, https://libellula.eu/wp-content/uploads/2026/03/image-4-12x12.png 12w" sizes="(max-width: 121px) 100vw, 121px" /></figure>

<h3 id="h-elaborazione-multipla-dei-pezzi-multi-processing" class="wp-block-heading"><strong>- Multi-processing of parts</strong></h3>

<p class="wp-block-paragraph">Major improvements in processing speed have been introduced when using multiple parts with Batch &amp; Remote.</p>

<p class="wp-block-paragraph">Parts are now processed simultaneously, optimising the use of available hardware resources.</p>

<p class="wp-block-paragraph">The number of parts processed simultaneously depends on the available hardware, so the level of improvement may vary.</p>

<p class="wp-block-paragraph">Savings of up to 70% in processing time were found in the tests.</p>

<p class="wp-block-paragraph">The multi-processing function is only available with licences <strong>E-license</strong>.</p>

<p class="wp-block-paragraph">USB licences do not support multi-processing.</p>
								</div>
				</div>
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									<span class="elementor-button-text">Contact the Libellula team</span>
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				</div>
				</div><p>L'articolo <a href="https://libellula.eu/en/news/l-i-b-e-l-u-l-a-b-e-n-d/">Libellula.BEND: nuove funzionalità per la piegatura</a> proviene da <a href="https://libellula.eu/en">Libellula</a>.</p>
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		<title>Libellula at EuroBLECH 2026</title>
		<link>https://libellula.eu/en/trade-fairs/libellula-to-euroblech-2026/</link>
					<comments>https://libellula.eu/en/trade-fairs/libellula-to-euroblech-2026/#respond</comments>
		
		<dc:creator><![CDATA[Silvia]]></dc:creator>
		<pubdate>Wed, 06 May 2026 06:16:37 +0000</pubdate>
				<category><![CDATA[Fiere]]></category>
		<guid ispermalink="false">https://libellula.eu/?p=9521</guid>

					<description><![CDATA[<p>Libellula will participate in EuroBLECH 2026, the largest trade fair dedicated to the sheet metal working industry. Considered by industry professionals from around the world as an international benchmark, EuroBLECH 2026 is the ideal opportunity to discover products, services and innovations dedicated to sheet metal working. The event will take place from 20 to 23 October 2026 [...].</p>
<p>L'articolo <a href="https://libellula.eu/en/trade-fairs/libellula-to-euroblech-2026/">Libellula a EuroBLECH 2026</a> proviene da <a href="https://libellula.eu/en">Libellula</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p class="wp-block-paragraph">Libellula will participate in EuroBLECH 2026, the largest trade fair dedicated to the sheet metal working industry.</p>



<p class="wp-block-paragraph">Considered by industry professionals around the world as an international benchmark, <a href="https://www.euroblech.com/en-gb.html">EuroBLECH 2026</a> is the ideal opportunity to discover products, services and innovations dedicated to sheet metal working.</p>



<p class="wp-block-paragraph">The event will take place from 20 to 23 October 2026 in Hannover.</p>



<p class="wp-block-paragraph">Come to <a href="https://libellula.eu/en/">find us </a>at Hall 11, Stand C34.</p>



<p class="wp-block-paragraph">We look forward to seeing you at EuroBLECH 2026!</p><p>L'articolo <a href="https://libellula.eu/en/trade-fairs/libellula-to-euroblech-2026/">Libellula a EuroBLECH 2026</a> proviene da <a href="https://libellula.eu/en">Libellula</a>.</p>
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		<title>CAD/CAM software 2026: all new features Libellula</title>
		<link>https://libellula.eu/en/news/libellula-new-features-2026/</link>
					<comments>https://libellula.eu/en/news/libellula-new-features-2026/#respond</comments>
		
		<dc:creator><![CDATA[Silvia]]></dc:creator>
		<pubdate>Mon, 04 May 2026 10:27:32 +0000</pubdate>
				<category><![CDATA[News]]></category>
		<guid ispermalink="false">https://libellula.eu/?p=9433</guid>

					<description><![CDATA[<p>The CAD/CAM laser cutting software Libellula gets a makeover with version 2026. The result is an architecture designed to guarantee maximum stability and concrete benefits for your daily production: Maximum Stability and Security: thanks to the update of the .NET 4.8 framework and third-party libraries, you will enjoy improved memory management and standardised [...]</p>
<p>L'articolo <a href="https://libellula.eu/en/news/libellula-new-features-2026/">Software CAD/CAM 2026: tutte le novità Libellula</a> proviene da <a href="https://libellula.eu/en">Libellula</a>.</p>
]]></description>
										<content:encoded><![CDATA[<div data-elementor-type="wp-post" data-elementor-id="9433" class="elementor elementor-9433" data-elementor-post-type="post">
				<div class="elementor-element elementor-element-5b15e037 e-flex e-con-boxed e-con e-parent" data-id="5b15e037" data-element_type="container" data-e-type="container">
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				<div class="elementor-widget-container">
									<p><span style="font-size: 21.296px;">CAD/CAM laser cutting software Libellula gets a makeover with version 2026</span>. The result is an architecture designed to provide maximum stability and concrete benefits to your daily production:</p>
<ul>
<li style="list-style-type: none;">
<ul>
<li><strong>Maximum Stability and Safety:</strong> With the updated .NET 4.8 framework and third-party libraries, you will enjoy better memory management and high security standards.</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --></p>
<p><!-- /wp:list --><!-- wp:list --></p>
<ul>
<li style="list-style-type: none;">
<ul><!-- wp:list-item --></ul>
</li>
</ul>
<ul>
<li style="list-style-type: none;">
<ul>
<li><strong>Optimised Performance</strong>We introduced database indexing and a refactoring of core modules to reduce latency and optimise CPU (central processing unit) and memory usage, especially in high data volume scenarios.</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --></p>
<p><!-- /wp:list --><!-- wp:list --></p>
<ul>
<li style="list-style-type: none;">
<ul><!-- wp:list-item --></ul>
</li>
</ul>
<ul>
<li style="list-style-type: none;">
<ul>
<li><strong>Modern Interface: </strong>A revamped look that integrates native Windows features, such as progress bars for calculating elements.</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --></p>
<p><!-- /wp:list --><!-- wp:separator {"jetDynamicVisibility":{"jedv_enabled":false,"jedv_type":"show","jedv_conditions":[],"jedv_relation":"AND"}} --></p>
<hr />
<p><!-- /wp:separator --><!-- wp:heading --></p>
<h2>Find out in detail what is new in the first version 2026:</h2>
<p><!-- /wp:heading --><!-- wp:heading --></p>
<h2><strong>1. CAD/CAM Automation &amp; Import</strong></h2>
<p><!-- /wp:heading --><!-- wp:heading {"level":3} --></p>
<h3>- DXF rules in OneClick: <b>Libellula.CUT</b></h3>
<p><!-- /wp:heading --><!-- wp:paragraph --></p>
<p>Faster import into 2D CAD of <a href="https://libellula.eu/en/software/libellula-cut/">Libellula.CUT</a> thanks to the possibility of applying specific automatic recognition rules for material, thickness and job directly from texts in DXFs.</p>
<p><!-- /wp:paragraph --><!-- wp:paragraph --></p>
<p>In particular, it is possible to associate</p>
<p><!-- /wp:paragraph --><!-- wp:list --></p>
<ul>
<li style="list-style-type: none;">
<ul><!-- wp:list-item --></ul>
</li>
</ul>
<ul>
<li style="list-style-type: none;">
<ul>
<li>Name of piece</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --><!-- wp:list-item --></p>
<ul>
<li style="list-style-type: none;">
<ul>
<li>Material</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --><!-- wp:list-item --></p>
<ul>
<li style="list-style-type: none;">
<ul>
<li>Thickness</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --><!-- wp:list-item --></p>
<ul>
<li style="list-style-type: none;">
<ul>
<li>Saleswoman</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --><!-- wp:list-item --></p>
<ul>
<li style="list-style-type: none;">
<ul>
<li>Quantity</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --><!-- wp:list-item --></p>
<ul>
<li style="list-style-type: none;">
<ul>
<li>Production Order</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --><!-- wp:list-item --></p>
<ul>
<li style="list-style-type: none;">
<ul>
<li>Delivery date</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --></p>
<p><!-- /wp:list --><!-- wp:image {"id":9444,"sizeSlug":"full","linkDestination":"none"} --></p>
<figure><img decoding="async" src="https://libellula.eu/wp-content/uploads/2026/05/image-9.png" alt="" /></figure>
<p><!-- /wp:image --><!-- wp:image {"id":9445,"sizeSlug":"large","linkDestination":"none"} --></p>
<figure><img decoding="async" src="https://libellula.eu/wp-content/uploads/2026/05/image-10-1024x452.png" alt="" /></figure>
<p><!-- /wp:image --><!-- wp:paragraph --></p>
<p><strong>ADVANTAGES</strong></p>
<ul style="background: #ffffff; font-size: 21.296px;">
<li style="list-style-type: none;">
<ul style="font-size: 21.296px;">
<li style="font-size: 21.296px;">Increased import speed</li>
<li style="font-size: 21.296px;">Automatic creation of icons in the CAD/CAM order form Libellula.CUT</li>
</ul>
</li>
</ul>
<div> </div>
<p> </p>
<p><!-- /wp:paragraph --><!-- wp:heading {"level":3} --></p>
<h3>- Cleaning function: <span style="font-weight: bold;">Libellula.CUT</span></h3>
<p><!-- /wp:heading --><!-- wp:paragraph --></p>
<p>A preliminary phase with a defocused laser to remove oxidation and impurities, ensuring a more accurate and stable cut.</p>
<p><!-- /wp:paragraph --><!-- wp:paragraph --></p>
<p><strong>ADVANTAGES<br /></strong>This preliminary step allows a more accurate thickness measurement and cut and<br />stable, avoiding anomalies during the attachment phase and preventing the formation of unwanted holes. In addition,<br />ensuring uniform surface conditions, cutting parameters remain constant and do not require continuous<br />adjustments, ensuring greater process repeatability and stability.</p>
<p> </p>
<p><!-- /wp:paragraph --><!-- wp:heading {"level":3} --></p>
<h3>- Blind drilling: <span style="font-weight: bold;">Libellula.CUT</span></h3>
<p><!-- /wp:heading --><!-- wp:paragraph --></p>
<p>New management for aesthetically intact and ready-to-assemble parts without nuts. Applies non-passing round holes to an icon at a configurable depth.</p>
<p><!-- /wp:paragraph --><!-- wp:gallery {"linkTo":"none","layout":{"type":"flex","flexWrap":null}} --></p>
<figure><!-- wp:image {"id":9456,"width":"381px","height":"auto","sizeSlug":"large","linkDestination":"none"} -->
<p> </p>
<figure><img decoding="async" style="width: 381px; height: auto;" src="https://libellula.eu/wp-content/uploads/2026/05/image-20.png" alt="" /></figure>
<p><!-- /wp:image --><!-- wp:image {"id":9461,"sizeSlug":"large","linkDestination":"none"} --></p>
<figure><img decoding="async" src="https://libellula.eu/wp-content/uploads/2026/05/image-25.png" alt="" /></figure>
<p><!-- /wp:image --></p>
</figure>
<p><!-- /wp:gallery --><!-- wp:paragraph --></p>
<p><strong>ADVANTAGES</strong></p>
<p><!-- /wp:paragraph --><!-- wp:list --></p>
<ul>
<li style="list-style-type: none;">
<ul><!-- wp:list-item --></ul>
</li>
</ul>
<ul>
<li style="list-style-type: none;">
<ul>
<li><strong>Structure </strong>- the piece, having one of the two sides of the hole intact, is stronger;</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --><!-- wp:list-item --></p>
<ul>
<li style="list-style-type: none;">
<ul>
<li><strong>Aesthetics </strong>- the surface of the workpiece remains intact and without visible holes, making it preferable in<br />visible applications;</li>
</ul>
</li>
</ul>
<div> </div>
<ul>
<li style="list-style-type: none;">
<ul>
<li><strong style="background-color: transparent;">Assembly </strong><span style="background-color: transparent;">- the bottom of the blind hole acts as a fixing point for the screws, eliminating the </span>need to have a nut on the opposite side.</li>
</ul>
</li>
</ul>
<div> </div>
<p><!-- /wp:list-item --></p>
<p><!-- /wp:list --><!-- wp:heading {"level":3} --></p>
<h3>- Master column in the Work Library: <b>mod.ROUTING</b></h3>
<p><!-- /wp:heading --><!-- wp:paragraph --></p>
<p>The management of repetitive nesting of the mod.ORDER has been evolved, insendo, the management of a MASTER option.<br />The Master column allows you to select a specific Job as “repetitive” to speed up the search in<br />duplication phase.</p>
<p><!-- /wp:paragraph --><!-- wp:image {"id":9455,"sizeSlug":"full","linkDestination":"none"} --></p>
<figure><img decoding="async" src="https://libellula.eu/wp-content/uploads/2026/05/image-19.png" alt="" /></figure>
<p><!-- /wp:image --><!-- wp:paragraph --></p>
<p><b>ADVANTAGES:</b></p>
<p>It is now possible to filter within the “Existing Similar Jobs” search of the mod.ORDER, and display<br />only works marked Master.</p>
<p><!-- /wp:paragraph --><!-- wp:separator --></p>
<hr />
<p><!-- /wp:separator --><!-- wp:heading --></p>
<h2><b>2. Intelligent Warehouse Management</b></h2>
<p><!-- /wp:heading --><!-- wp:heading {"level":3} --></p>
<h3>- Marking on Scrap: <span style="font-weight: bold;">Libellula.CUT</span></h3>
<p><!-- /wp:heading --><!-- wp:paragraph --></p>
<p>Coding of scrap without paper labels, with the possibility of deciding whether to mark it for re-use. It is possible to mark different information: the identification code, the code of the parent sheet, the<br />x and y dimensions, material, thickness.</p>
<p><!-- /wp:paragraph --><!-- wp:image {"id":9446,"sizeSlug":"full","linkDestination":"none"} --></p>
<figure><img decoding="async" src="https://libellula.eu/wp-content/uploads/2026/05/image-11.png" alt="" /></figure>
<p><!-- /wp:image --><!-- wp:paragraph --></p>
<p><strong>ADVANTAGES<br /></strong>The scrap is coded, without the use of prints and labels stuck on it, recognising it with<br />facility. It is also possible to decide where to mark the defined text.</p>
<p> </p>
<p><!-- /wp:paragraph --><!-- wp:heading {"level":3} --></p>
<h3>- Opening and Editing Scrap in CAD: <span style="font-weight: bold;">Libellula.CUT</span></h3>
<p><!-- /wp:heading --><!-- wp:paragraph --></p>
<p>Possibility of aligning the theoretical scrap geometry with the actual geometry (e.g. after malfunctions or workpiece shifts). When plasma or oxyfuel (OXY) cutting is performed on thick materials, it can happen that the residual skeleton generated is altered for various reasons:</p>
<p><!-- /wp:paragraph --><!-- wp:list --></p>
<ul>
<li style="list-style-type: none;">
<ul><!-- wp:list-item --></ul>
</li>
</ul>
<ul>
<li style="list-style-type: none;">
<ul>
<li>When cutting with several torches, it may happen that one of them malfunctions and the position<br />of the pieces moves by a few millimetres.</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --><!-- wp:list-item --></p>
<ul>
<li style="list-style-type: none;">
<ul>
<li>A workpiece may not be cut correctly in the plasma and the machine operators reposition it<br />on the sheet, thus modifying the residue.</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --><!-- wp:list-item --></p>
<ul>
<li style="list-style-type: none;">
<ul>
<li>To facilitate lifting with the crane, parts of the skeleton are removed, altering the<br />further configuration.</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --></p>
<p><!-- /wp:list --><!-- wp:paragraph --></p>
<p><strong>ADVANTAGES</strong><br />It can therefore frequently happen that the theoretical geometry does not correspond to the actual geometry, and therefore the<br />scrap must be redesigned or modified.</p>
<p> </p>
<p><!-- /wp:paragraph --><!-- wp:heading {"level":3} --></p>
<h3>- Quantity cast in the warehouse: <b>mod.STORAGE</b></h3>
<p><!-- /wp:heading --><!-- wp:paragraph --></p>
<p>Identification of the committed quantity detail on the individual casting via the “Engaged” column.</p>
<p><!-- /wp:paragraph --><!-- wp:image {"id":9448,"sizeSlug":"large","linkDestination":"none"} --></p>
<figure><img decoding="async" src="https://libellula.eu/wp-content/uploads/2026/05/image-13-1024x345.png" alt="" /></figure>
<p><!-- /wp:image --><!-- wp:separator --></p>
<hr />
<p><!-- /wp:separator --><!-- wp:heading --></p>
<h2><b>3. Operational Efficiency and Integration</b></h2>
<p><!-- /wp:heading --><!-- wp:heading {"level":3} --></p>
<h3>- Organise several cutting machines: <b>mod.MULTIMACHINE</b></h3>
<p><!-- /wp:heading --><!-- wp:list --></p>
<ul>
<li style="list-style-type: none;">
<ul><!-- wp:list-item --></ul>
</li>
</ul>
<ul>
<li style="list-style-type: none;">
<ul>
<li>New “Force lead-in recalculation” option within the MULTIMACHINE mod. to faithfully replicate the master configuration on additional machines.</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --></p>
<p><!-- /wp:list --><!-- wp:paragraph --></p>
<p><b>ADVANTAGES</b></p>
<p><!-- /wp:paragraph --><!-- wp:list --></p>
<ul>
<li style="list-style-type: none;">
<ul><!-- wp:list-item --></ul>
</li>
</ul>
<ul>
<li style="list-style-type: none;">
<ul>
<li><strong>Best performance</strong> - It allows the faithful replication of a technological configuration applied to a<br />sheet metal.</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --><!-- wp:list-item --></p>
<ul>
<li style="list-style-type: none;">
<ul>
<li><strong>Increased speed </strong>- Avoids recalculation of bindings and dimensions, speeding up the generation of<br />machine programmes in MULTIMACHINE mod.</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --><!-- wp:list-item --></p>
<ul>
<li style="list-style-type: none;">
<ul>
<li><strong>Greater flexibility</strong> - This configuration can be activated or not, depending on the operator's needs</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --></p>
<p><!-- /wp:list --><!-- wp:image {"id":9436,"width":"610px","height":"auto","aspectRatio":"2.408051923619603","sizeSlug":"full","linkDestination":"none"} --></p>
<figure><img decoding="async" style="aspect-ratio: 2.408051923619603; width: 610px; height: auto;" src="https://libellula.eu/wp-content/uploads/2026/05/image-1.png" alt="" /></figure>
<p><!-- /wp:image --><!-- wp:list --></p>
<ul>
<li style="list-style-type: none;">
<ul><!-- wp:list-item --></ul>
</li>
</ul>
<ul>
<li style="list-style-type: none;">
<ul>
<li>New unified view in the<b> mod.MANAGER</b> (production queue management module) to display all machines within the same view on a single screen.</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --></p>
<p><!-- /wp:list --><!-- wp:image {"id":9449,"sizeSlug":"large","linkDestination":"none"} --></p>
<figure><img decoding="async" src="https://libellula.eu/wp-content/uploads/2026/05/image-14-1024x550.png" alt="" /></figure>
<p><!-- /wp:image --><!-- wp:paragraph --></p>
<p><strong>ADVANTAGES</strong><br />This allows centralised and immediate control of the active configuration, facilitating the<br />loading and handling of machines.<br />In addition, the unified visualisation reduces the risk of operational errors, improves work organisation and optimises setup times, increasing the overall efficiency of the production process.</p>
<p> </p>
<p><!-- /wp:paragraph --><!-- wp:heading {"level":3} --></p>
<h3>- Parallel Bevel &amp; Micro Bevel Joints: <span style="font-weight: bold;">Libellula.CUT</span></h3>
<p><!-- /wp:heading --><!-- wp:list {"jetDynamicVisibility":{"jedv_enabled":false,"jedv_type":"show","jedv_conditions":[],"jedv_relation":"AND"}} --></p>
<ul>
<li style="list-style-type: none;">
<ul><!-- wp:list-item --></ul>
</li>
</ul>
<ul>
<li style="list-style-type: none;">
<ul>
<li>Support for parallel bevel, i.e. bevel machining that needs to keep the rotation of the head axis locked.</li>
</ul>
</li>
</ul>
<div> </div>
<p><!-- /wp:list-item --></p>
<p><!-- /wp:list --><!-- wp:paragraph --></p>
<p><strong>ADVANTAGES</strong><br />This makes it possible to drill holes into which bars not perpendicular to the plane can be inserted</p>
<p><!-- /wp:paragraph --><!-- wp:image {"id":9439,"sizeSlug":"full","linkDestination":"none"} --></p>
<figure><img decoding="async" src="https://libellula.eu/wp-content/uploads/2026/05/image-4.png" alt="" /></figure>
<p><!-- /wp:image --><!-- wp:list --></p>
<ul>
<li style="list-style-type: none;">
<ul><!-- wp:list-item --></ul>
</li>
</ul>
<ul>
<li style="list-style-type: none;">
<ul>
<li>Editing microjunctions on Bevel profiles within the configuration settings:</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --></p>
<p><!-- /wp:list --><!-- wp:image {"id":9450,"sizeSlug":"full","linkDestination":"none"} --></p>
<figure><img decoding="async" src="https://libellula.eu/wp-content/uploads/2026/05/image-15.png" alt="" /></figure>
<figure></figure>
<p><!-- /wp:image --><!-- wp:heading {"level":3} --></p>
<h3>- Inkjet printer management: <span style="font-weight: bold;">Libellula.CUT</span></h3>
<p><!-- /wp:heading --><!-- wp:paragraph --></p>
<p>Inkjet printers allow text to be applied to the icon, which will not be<br />marked but printed with inkjet technology.</p>
<p><!-- /wp:paragraph --><!-- wp:list --></p>
<ul>
<li style="list-style-type: none;">
<ul><!-- wp:list-item --></ul>
</li>
</ul>
<ul>
<li style="list-style-type: none;">
<ul>
<li>Inkjet printer management in CAD:</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --></p>
<p><!-- /wp:list --><!-- wp:image {"id":9442,"width":"296px","height":"auto","aspectRatio":"0.8569157821003287","sizeSlug":"full","linkDestination":"none"} --></p>
<figure><img decoding="async" style="aspect-ratio: 0.8569157821003287; width: 296px; height: auto;" src="https://libellula.eu/wp-content/uploads/2026/05/image-7.png" alt="" /></figure>
<p><!-- /wp:image --><!-- wp:heading {"level":3} --></p>
<h3>- Nanojoint also on <b>Libellula.WIZARD</b></h3>
<p><!-- /wp:heading --><!-- wp:paragraph --></p>
<p>Nanojoint management was also introduced on Libellula.WIZARD.</p>
<p><!-- /wp:paragraph --><!-- wp:gallery {"linkTo":"none","layout":{"type":"flex","flexWrap":null}} --></p>
<figure><!-- wp:image {"id":9467,"width":"512px","height":"auto","sizeSlug":"large","linkDestination":"none"} -->
<p> </p>
<figure><img decoding="async" style="width: 512px; height: auto;" src="https://libellula.eu/wp-content/uploads/2026/05/image-31.png" alt="" /></figure>
<figure></figure>
<p><!-- /wp:image --></p>
</figure>
<p><!-- /wp:gallery --><!-- wp:heading --></p>
<h2><b>4. Orders &amp; Linking ERP - CAM - external software</b></h2>
<p><!-- /wp:heading --><!-- wp:heading {"level":3} --></p>
<h3>- Order display via “Order” column: <span style="font-weight: bold;">Libellula.VISIO</span></h3>
<p><!-- /wp:heading --><!-- wp:list --></p>
<ul>
<li style="list-style-type: none;">
<ul><!-- wp:list-item --></ul>
</li>
</ul>
<ul>
<li style="list-style-type: none;">
<ul>
<li>New ‘order’ column within the tables of available and queued jobs within the onboard system <a href="https://libellula.eu/en/software/libellula-visio/">Libellula.VISIO</a> to also see the associated order.</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --></p>
<p><!-- /wp:list --><!-- wp:paragraph --></p>
<p>In the case of nesting containing parts with different orders, all orders will be shown in the “Order” column.</p>
<p><!-- /wp:paragraph --><!-- wp:gallery {"linkTo":"none","layout":{"type":"flex","flexWrap":null}} --></p>
<figure><!-- wp:image {"id":9462,"width":"618px","height":"auto","sizeSlug":"large","linkDestination":"none"} -->
<p> </p>
<figure><img decoding="async" style="width: 618px; height: auto;" src="https://libellula.eu/wp-content/uploads/2026/05/image-26.png" alt="" /></figure>
<p><!-- /wp:image --></p>
</figure>
<p><!-- /wp:gallery --><!-- wp:heading {"level":3} --></p>
<h3>- Geometry import and PNG shapshoot generation: <b>mod.BRIDGE</b></h3>
<p><!-- /wp:heading --><!-- wp:paragraph --></p>
<p>The new features allow</p>
<p><!-- /wp:paragraph --><!-- wp:list --></p>
<ul>
<li style="list-style-type: none;">
<ul><!-- wp:list-item --></ul>
</li>
</ul>
<ul>
<li style="list-style-type: none;">
<ul>
<li>import tubular geometries via mod.BRIDGE, represented in different formats (e.g. step and dstv)</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --><!-- wp:list-item --></p>
<ul>
<li style="list-style-type: none;">
<ul>
<li>import 2D geometries via DSTV format (for drivers D018, D019, D020, D021)</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --><!-- wp:list-item --></p>
<ul>
<li style="list-style-type: none;">
<ul>
<li>The function of generating png snapshots via mod.BRIDGE is now updated with the flexibility to choose the format, size and destination path for all available snapshots.</li>
</ul>
</li>
</ul>
<p><!-- /wp:list-item --></p>
<p><!-- /wp:list --><!-- wp:separator --></p>
<hr />
<p><!-- /wp:separator --><!-- wp:heading --></p>
<h2><b>5. CNC Files &amp; Automatic Recognition Bending</b></h2>
<p><!-- /wp:heading --><!-- wp:heading {"level":3} --></p>
<h3>- Generate CNC files from <b>Libellula.BEND</b></h3>
<p><!-- /wp:heading --><!-- wp:paragraph --></p>
<p>A configuration has been added on mod.BRIDGE to be able to also generate cnc files from <a href="https://libellula.eu/en/software/libellula-bend/">Libellula.BEND</a> via the link module by setting the BEND unfold to stepsystemwatcher and csvsystemwatcher.</p>
<p><!-- /wp:paragraph --><!-- wp:image {"id":9466,"sizeSlug":"large","linkDestination":"none"} --></p>
<figure><img decoding="async" src="https://libellula.eu/wp-content/uploads/2026/05/image-30-1024x327.png" alt="" /></figure>
<p><!-- /wp:image --><!-- wp:paragraph --></p>
<p><strong>ADVANTAGES</strong><br />In this way, it is possible not to stop at the explanation of the piece, but to also have all the files<br />which are normally generated by Libellula.BEND (e.g. fold files, fold reports, etc.).</p>
<p> </p>
<p><!-- /wp:paragraph --><!-- wp:heading {"level":3} --></p>
<h3>- Automatic part creation in the Library with DXF file recognition: <span style="font-weight: bold;">Libellula.BEND</span></h3>
<p><!-- /wp:heading --><!-- wp:paragraph --></p>
<p>An automatism was introduced that allows automatic recognition of parts created with the Libellula.BEND bending software.</p>
<p><!-- /wp:paragraph --><!-- wp:paragraph --></p>
<p>After processing a folding process, performed directly via Libellula.BEND or<br />through the Bath&amp;Remote automatism, the software is now able to automatically create pieces in the<br />library, recognising the DXF file generated by Libellula.BEND and associating the material and thickness<br />corresponding.</p>
<p><!-- /wp:paragraph --><!-- wp:paragraph --></p>
<p><strong>ADVANTAGES:<br /></strong>Speeding up the creation of parts in the library, avoiding double manual data entry.</p>
<p><!-- /wp:paragraph --><!-- wp:separator --></p>
<hr />
<p><!-- /wp:separator --><!-- wp:heading --></p>
<h2><b>6. </b><strong><strong>Find out more about the new version at Libellula.WIKI</strong></strong></h2>
<p><!-- /wp:heading --><!-- wp:paragraph --></p>
<p><b>Libellula.WIKI</b> is the document centre of the Libellula software with:</p>
<p><!-- /wp:paragraph --><!-- wp:list --></p>
<ul>
<li style="list-style-type: none;">
<ul><!-- wp:list-item --></ul>
</li>
</ul>
<ul>
<li style="list-style-type: none;"><br />
<ul>
<li>a section dedicated to new versions</li>
<li>Product documentation</li>
<li><span style="background-color: transparent;">Step-by-step guide with explanatory screenshots</span></li>
<li><span style="background-color: transparent;">7 languages available</span></li>
</ul>
</li>
</ul>
<div> </div>
<p><!-- /wp:list-item --></p>
<p><!-- /wp:list --><!-- wp:image {"id":9443,"sizeSlug":"full","linkDestination":"none","align":"center"} --></p>
<figure></figure>
<p><!-- /wp:image --><!-- wp:image {"id":9435,"sizeSlug":"large","linkDestination":"none"} --></p>
<figure><img decoding="async" 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" 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				</div><p>L'articolo <a href="https://libellula.eu/en/news/libellula-new-features-2026/">Software CAD/CAM 2026: tutte le novità Libellula</a> proviene da <a href="https://libellula.eu/en">Libellula</a>.</p>
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		<title>1 May: the value of sustainable work and corporate welfare in the metal industry</title>
		<link>https://libellula.eu/en/projects/1-may-the-value-of-sustainable-work-and-corporate-welfare-in-the-metal-industry/</link>
					<comments>https://libellula.eu/en/projects/1-may-the-value-of-sustainable-work-and-corporate-welfare-in-the-metal-industry/#respond</comments>
		
		<dc:creator><![CDATA[Silvia]]></dc:creator>
		<pubdate>Mon, 20 Apr 2026 11:23:08 +0000</pubdate>
				<category><![CDATA[Progetti]]></category>
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					<description><![CDATA[<p>In today's context, characterised by increasingly rapid transformations, the issue of corporate welfare in the engineering industry takes on a central role in the construction of sustainable, efficient and responsible working environments. At Libellula Srl, a company active in the development of solutions for the digitalisation of business processes, this approach is translated into a structured set of initiatives [...]</p>
<p>L'articolo <a href="https://libellula.eu/en/projects/1-may-the-value-of-sustainable-work-and-corporate-welfare-in-the-metal-industry/">1° maggio: il valore del lavoro sostenibile e del benessere aziendale nell’industria metalmeccanica</a> proviene da <a href="https://libellula.eu/en">Libellula</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p class="wp-block-paragraph">In today's context of increasingly rapid transformations, the topic of <strong>corporate welfare in the metal industry</strong> plays a central role in building sustainable, efficient and responsible workplaces.</p>



<p class="wp-block-paragraph">In <strong>Libellula Srl</strong>, a company active in the development of solutions for the <strong>digitisation of business processes</strong>, This approach translates into a structured set of initiatives that support people not only in their professional dimension, but also in managing their work-life balance.</p>



<p class="wp-block-paragraph">On the occasion of the <strong>1 May</strong>, this vision invites reflection on what makes work truly sustainable, evolutionary and shared.</p>



<h2 class="wp-block-heading" id="h-formazione-continua-in-azienda-una-leva-per-la-crescita">Continuous training in the company: a lever for growth</h2>



<p class="wp-block-paragraph">La <strong>in-company training</strong> is one of the central elements in competence development.</p>



<p class="wp-block-paragraph">In Libellula, training courses take place during working hours and include:</p>



<ul class="wp-block-list">
<li>technical training on sector skills</li>



<li>paths related to artificial intelligence and <strong>digital transformation of industry</strong></li>



<li>language courses</li>



<li>development of soft skills</li>
</ul>



<p class="wp-block-paragraph">In the recent two-year period, these activities exceeded the <strong>5,600 training hours</strong>, amounting to over 700 working days.</p>



<p class="wp-block-paragraph">Training is therefore not an ancillary activity, but an ongoing process that accompanies the evolution of the company and its people.</p>



<h2 class="wp-block-heading" id="h-work-life-balance-e-welfare-aziendale-nel-settore-metalmeccanico">Work-life balance and corporate welfare in the metal sector</h2>



<p class="wp-block-paragraph">The <strong>work-life balance in the company</strong> is one of the most relevant levers for organisational well-being today.</p>



<p class="wp-block-paragraph">For this, Libellula introduced concrete tools to <strong>corporate welfare in the metal sector</strong>, including:</p>



<ul class="wp-block-list">
<li>up to 2 smart working days per week</li>



<li>flexible entry and exit times</li>



<li>1 additional day off in the birthday month</li>



<li>20 extra days of holiday for every 5 years of stay</li>
</ul>



<p class="wp-block-paragraph">These measures are complemented by welfare systems that allow flexible use of the benefits provided by the CCNL Metalmeccanico.</p>



<p class="wp-block-paragraph">It is also in this perspective that <strong><a href="https://libellula.eu/en/projects/libellula-presents-mind-the-break/">MindTheBreak</a></strong>, an internal initiative that promotes moments of pause and sharing, helping to improve the corporate climate.</p>



<h2 class="wp-block-heading" id="h-salute-e-protezione-un-sistema-integrato">Health and protection: an integrated system</h2>



<p class="wp-block-paragraph">The <strong>corporate welfare</strong> also involves the protection of health.</p>



<p class="wp-block-paragraph">In Libellula, this translates into an integrated system that combines:</p>



<ul class="wp-block-list">
<li>the health fund <a href="https://www.fondometasalute.it/">MetaHealth</a></li>



<li>supplementary health cover through <a href="https://www.entipubblici.aon.it/-/direzione-sicura-full-dettaglio?utm_source=google&amp;utm_medium=cpc&amp;utm_campaign=MA_pmax_acq_aon-affinity_direzione-sicura_2025&amp;gad_source=1&amp;gad_campaignid=23373114922&amp;gbraid=0AAAAA9jyIJcEp4SppoRJxP2_bcshZj3hA&amp;gclid=CjwKCAjwnZfPBhAGEiwAzg-VzCjGPXzVpji71WySrrJvBz6JNk77oFIow3BfGdhVD11pLGARLJ59GBoCyHMQAvD_BwE">Aon</a></li>
</ul>



<p class="wp-block-paragraph">This approach makes it possible to widen access to health services and strengthen people's overall safety.</p>



<h2 class="wp-block-heading" id="h-parita-di-genere-e-inclusione-in-azienda">Gender equality and inclusion in companies</h2>



<p class="wp-block-paragraph">A sustainable working environment is also a fair environment.</p>



<p class="wp-block-paragraph">The path of <strong>gender equality in business</strong> is based on concrete and monitorable actions:</p>



<ul class="wp-block-list">
<li>focus on growth paths</li>



<li>wage and opportunity analysis</li>



<li>promotion of an inclusive culture</li>



<li>listening and reporting tools</li>
</ul>



<p class="wp-block-paragraph">The aim is to ensure conditions in which each person can actively contribute in a transparent and respectful environment.</p>



<h2 class="wp-block-heading" id="h-relazioni-e-responsabilita-il-valore-delle-persone">Relationships and responsibility: the value of people</h2>



<p class="wp-block-paragraph">The value of work is also built through relationships.</p>



<p class="wp-block-paragraph">The initiatives promoted - from anonymous satisfaction surveys to parental support and involvement in local activities - reflect a vision in which the company is an active part of a larger system.</p>



<p class="wp-block-paragraph">In this sense, the <strong>sustainable work</strong> is not just an organisational issue, but a cultural one.</p>



<h2 class="wp-block-heading" id="h-innovazione-e-lavoro-sostenibile-un-modello-per-il-futuro">Innovation and sustainable work: a model for the future</h2>



<p class="wp-block-paragraph">Underlying this model is a clear principle: success comes from the interaction between skills, technology and people.</p>



<p class="wp-block-paragraph">Therefore, in Libellula, <strong>innovation, continuous training, corporate welfare and inclusion</strong> converge in a single objective: to build a sustainable working environment over time.</p>



<p class="wp-block-paragraph">In a context of <strong>digital transformation of industry</strong>, the value of work is increasingly measured in its ability to evolve, collaborate and generate impact.</p>



<p class="wp-block-paragraph">And it is in this direction that Libellula Srl continues to work, every day.</p>



<p class="wp-block-paragraph"></p><p>L'articolo <a href="https://libellula.eu/en/projects/1-may-the-value-of-sustainable-work-and-corporate-welfare-in-the-metal-industry/">1° maggio: il valore del lavoro sostenibile e del benessere aziendale nell’industria metalmeccanica</a> proviene da <a href="https://libellula.eu/en">Libellula</a>.</p>
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		<title>Libellula at MACH 2026: Software and machine innovation with MTL Engineering</title>
		<link>https://libellula.eu/en/news/libellula-at-mach-2026-software-innovation-and-cad-cam-integration-with-mtl-engineering/</link>
					<comments>https://libellula.eu/en/news/libellula-at-mach-2026-software-innovation-and-cad-cam-integration-with-mtl-engineering/#respond</comments>
		
		<dc:creator><![CDATA[Silvia]]></dc:creator>
		<pubdate>Tue, 14 Apr 2026 08:18:42 +0000</pubdate>
				<category><![CDATA[News]]></category>
		<guid ispermalink="false">https://libellula.eu/?p=9367</guid>

					<description><![CDATA[<p>Libellula at MACH 2026: one of the most important events in the UK dedicated to manufacturing technologies is back. From 20 to 24 April 2026, at the NEC in Birmingham, Libellula will be present together with MTL Engineering, a strategic partner for the UK market. This participation represents a key step in strengthening the international presence of [...]</p>
<p>L'articolo <a href="https://libellula.eu/en/news/libellula-at-mach-2026-software-innovation-and-cad-cam-integration-with-mtl-engineering/">Libellula a MACH 2026: innovazione software e macchine con MTL Engineering</a> proviene da <a href="https://libellula.eu/en">Libellula</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p class="wp-block-paragraph"><strong>Libellula to MACH 2026</strong>One of the most important events in the UK dedicated to manufacturing technology is back. From <strong>20 to 24 April 2026</strong>, at the <strong>NEC Birmingham</strong>, Libellula will be present together with <strong><a href="https://www.mtlengineering.co.uk/">MTL Engineering</a></strong>, strategic partner for the UK market.</p>



<p class="wp-block-paragraph">This participation represents a key step in strengthening Libellula's international presence, consolidating its collaboration with a benchmark in sheet metal working and CAD/CAM system integration.</p>



<h3 class="wp-block-heading" id="h-libellula-e-mtl-engineering-una-sinergia-per-la-fabbrica-digitale">Libellula and MTL Engineering: a synergy for the digital factory</h3>



<p class="wp-block-paragraph">The collaboration between Libellula and MTL Engineering stems from a shared vision: to accompany manufacturing companies towards a <strong>more efficient, integrated and digital production</strong>.</p>



<p class="wp-block-paragraph">A <a href="https://machexhibition.com/">MACH 2026</a> we will bring a complete ecosystem for the’<strong>Industry 4.0</strong>, which can connect engineering and production, eliminate errors and improve process management.</p>



<h3 class="wp-block-heading" id="h-dove-trovare-libellula-a-mach-2026">Where to find Libellula at MACH 2026</h3>



<p class="wp-block-paragraph">📍 <strong>Hall 6 - Stand 18 (MTL Engineering)</strong></p>



<p class="wp-block-paragraph">At the MTL Engineering stand, visitors will be able to discover how the integration between software and machinery allows the entire production flow to be optimised, from budgeting to real-time monitoring.</p>



<h3 class="wp-block-heading" id="h-le-soluzioni-libellula-in-mostra">Libellula solutions on show</h3>



<p class="wp-block-paragraph">During MACH 2026 it will be possible to explore the entire Libellula suite dedicated to sheet metal working:</p>



<ul class="wp-block-list">
<li><strong><a href="https://libellula.eu/en/software/libellula-cut/">Libellula.CUT</a></strong> - Advanced CAD/CAM software for Laser, Plasma, Oxycut and Waterjet, designed to maximise cutting efficiency</li>



<li><strong><a href="https://libellula.eu/en/software/libellula-bend/">Libellula.BEND</a></strong> - Offline programming and 3D simulation for press brakes with Zero Training approach</li>



<li><strong><a href="https://libellula.eu/en/software/libellula-quotation/">Libellula.QUOTATION</a></strong> - Automatic and immediate quotation from DXF and PDF files, on cloud platform</li>



<li><strong>Libellula.CARE</strong> - Support and advice to optimise the performance of installed systems</li>
</ul>



<h3 class="wp-block-heading" id="h-demo-live-e-consulenza-personalizzata">Live demos and personalised advice</h3>



<p class="wp-block-paragraph"><strong>Libellula to MACH 2026</strong> will be the ideal opportunity to:</p>



<ul class="wp-block-list">
<li>attend <strong>live demo</strong> of software solutions</li>



<li>discuss with experts in the field</li>



<li>analysing their production flow</li>



<li>identifying new opportunities for optimisation</li>
</ul>



<p class="wp-block-paragraph">Whether the objective is <strong>reduce costs, improve efficiency or digitise production</strong>, the Libellula team will show how to make the transition to Factory 4.0 a reality.</p>



<h3 class="wp-block-heading" id="h-ti-aspettiamo-a-mach-2026">We look forward to seeing you at MACH 2026</h3>



<p class="wp-block-paragraph">Come and find out how <strong>Libellula and MTL Engineering</strong> can transform your production process.</p>



<p class="wp-block-paragraph">📅 20-24 April 2026<br>📍 NEC Birmingham - Hall 6, Stand 18</p>



<p class="wp-block-paragraph">👉 Book a personalised demo and meet our team.</p><p>L'articolo <a href="https://libellula.eu/en/news/libellula-at-mach-2026-software-innovation-and-cad-cam-integration-with-mtl-engineering/">Libellula a MACH 2026: innovazione software e macchine con MTL Engineering</a> proviene da <a href="https://libellula.eu/en">Libellula</a>.</p>
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		<title>Libellula.JOBSHOP TUBE: CAD/CAM software for tubular goods with integrated production management</title>
		<link>https://libellula.eu/en/news/libellula-jobshop-tube-cutting-cad-cam-software-with-integrated-production-management/</link>
					<comments>https://libellula.eu/en/news/libellula-jobshop-tube-cutting-cad-cam-software-with-integrated-production-management/#respond</comments>
		
		<dc:creator><![CDATA[Silvia]]></dc:creator>
		<pubdate>Thu, 09 Apr 2026 14:30:29 +0000</pubdate>
				<category><![CDATA[News]]></category>
		<guid ispermalink="false">https://libellula.eu/?p=9358</guid>

					<description><![CDATA[<p>In the world of tube machining, efficiency is measured when you have to quickly budget a complex assembly and when you need to know how many parts have been produced correctly, which ones have been rejected, and put the wrong ones back into the process without wasting time. Yet, in many workshops, these steps still take place in a disorganised manner: Excel sheets, communications [...]</p>
<p>L'articolo <a href="https://libellula.eu/en/news/libellula-jobshop-tube-cutting-cad-cam-software-with-integrated-production-management/">Libellula.JOBSHOP TUBE: software CAD/CAM per tubolari con gestione produzione integrata</a> proviene da <a href="https://libellula.eu/en">Libellula</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p class="wp-block-paragraph">In the world of tube machining, efficiency is measured when you have to quickly budget a complex assembly and when you need to know how many parts have been produced correctly, which ones have been rejected, and put the wrong ones back into the process without wasting time.</p>



<p class="wp-block-paragraph">Yet, in many workshops, these steps still take place in a disorganised manner: Excel sheets, voice communication, disconnected data flows between the technical department and production.</p>



<p class="wp-block-paragraph"><strong>Libellula.JOBSHOP TUBE</strong> was created to bring <strong>digital continuity to the entire tubular processing cycle,</strong> from initial quotation to real-time production data return, via CAD/CAM programming and intelligent job queue management on the shop floor.</p>



<p class="wp-block-paragraph">All this is possible thanks to a <a href="https://www.youtube.com/watch?v=9E2h5LhGSv8&amp;list=PLcH9FW1fIPREGK2FQw-KDgqQqvU7iPv3X&amp;index=20">modular suite</a> designed to adapt to different production realities, where tube cutting is an integral part of the production process and where that phase deserves the same digital attention as flat cutting or bending.</p>



<p class="wp-block-paragraph">Libellula elaborated the 4-step flow for the digital management of tubulars from quotation to real-time progress management:</p>



<p class="wp-block-paragraph"><strong>STEP 1 - Estimating Tubulars and Assemblies</strong></p>



<p class="wp-block-paragraph"><strong>STEP 2 - Digital management of the pipe order</strong></p>



<p class="wp-block-paragraph"><strong>STEP 3 - CAD/CAM programming for tube cutting</strong></p>



<p class="wp-block-paragraph"><strong>STEP 4 - On-machine real-time progress management system</strong></p>



<h2 class="wp-block-heading" id="h-step-1-preventivazione-di-tubolari-e-assemblati">STEP 1 - Estimating Tubulars and Assemblies</h2>



<p class="wp-block-paragraph">The production flow for the tube begins with the need to calculate the cost of the work to be done, often before we even have the final files, starting from 3D models or customer requirements that are still evolving.</p>



<p class="wp-block-paragraph">The result is an economic estimate built on the actual data of their plants: the starting point for quickly responding to the customer with a correct calculation of margins.</p>



<figure class="wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex">
<figure class="wp-block-image size-large is-resized"><img loading="lazy" decoding="async" width="549" height="415" data-id="9404" src="https://libellula.eu/wp-content/uploads/2026/04/image-3.png" alt="" class="wp-image-9404" style="width:322px;height:auto" srcset="https://libellula.eu/wp-content/uploads/2026/04/image-3.png 549w, https://libellula.eu/wp-content/uploads/2026/04/image-3-300x227.png 300w, https://libellula.eu/wp-content/uploads/2026/04/image-3-16x12.png 16w" sizes="(max-width: 549px) 100vw, 549px" /></figure>
</figure>



<p class="wp-block-paragraph"> </p>



<h2 class="wp-block-heading" id="h-step-2-gestione-digitale-della-commessa-tubi">STEP 2 - Digital management of the pipe order</h2>



<p class="wp-block-paragraph">Once the order is confirmed, work enters the order management phase. It is here that the first losses of efficiency often occur: untracked parts, verbally transmitted information, lack of visibility on progress.</p>



<p class="wp-block-paragraph">Within Libellula.TUBE, the order module transforms the management of each machining operation into a digital and structured process, collecting and organising all tubular parts to be cut in a single interface.</p>



<p class="wp-block-paragraph">In addition, <strong>Libellula.TUBE can dialogue directly with your corporate ERP</strong> with mod.BRIDGE: data are synchronised in real time, eliminating the need to enter them manually twice and ensuring a consistently accurate flow of information.</p>



<figure class="wp-block-image size-full is-resized"><img loading="lazy" decoding="async" width="779" height="455" src="https://libellula.eu/wp-content/uploads/2026/04/image-4.png" alt="" class="wp-image-9406" style="width:466px;height:auto" srcset="https://libellula.eu/wp-content/uploads/2026/04/image-4.png 779w, https://libellula.eu/wp-content/uploads/2026/04/image-4-300x175.png 300w, https://libellula.eu/wp-content/uploads/2026/04/image-4-768x449.png 768w, https://libellula.eu/wp-content/uploads/2026/04/image-4-18x12.png 18w" sizes="(max-width: 779px) 100vw, 779px" /></figure>



<p class="wp-block-paragraph">Operators may:</p>



<p class="wp-block-paragraph">- Organising production through dedicated filters</p>



<p class="wp-block-paragraph">- Monitor the progress of individual parts to be produced or manufactured in real time thanks to the interconnection with the Libellula.VISIO system installed on the machine.</p>



<p class="wp-block-paragraph">The order thus becomes the thread running through the entire process: all information from the customer to the delivery date and quantity travels throughout the production cycle.</p>



<h2 class="wp-block-heading" id="h-step-3-programmazione-cad-cam-per-il-taglio-tubi">STEP 3 - CAD/CAM programming for tube cutting</h2>



<p class="wp-block-paragraph">With the order organised, we move on to the most technical phase: the programming of the tube cutting equipment.</p>



<p class="wp-block-paragraph">Libellula.TUBE is Libellula's CAD/CAM specifically dedicated to the programming of laser tube cutting systems, available for both round and closed section tubes.</p>



<p class="wp-block-paragraph">The integrated parametric CAD allows the creation of tube parts without the need for advanced 3D design skills according to Libellula's Zero Training philosophy, for immediate use even by non-expert operators.</p>



<figure class="wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-2 is-layout-flex wp-block-gallery-is-layout-flex">
<figure class="wp-block-image size-large is-resized"><img loading="lazy" decoding="async" width="553" height="349" data-id="9407" src="https://libellula.eu/wp-content/uploads/2026/04/image-5.png" alt="" class="wp-image-9407" style="width:344px;height:auto" srcset="https://libellula.eu/wp-content/uploads/2026/04/image-5.png 553w, https://libellula.eu/wp-content/uploads/2026/04/image-5-300x189.png 300w, https://libellula.eu/wp-content/uploads/2026/04/image-5-18x12.png 18w" sizes="(max-width: 553px) 100vw, 553px" /></figure>
</figure>



<p class="wp-block-paragraph"></p>



<p class="wp-block-paragraph">To complete the solution, a series of modules are available to cover the most advanced requirements:</p>



<p class="wp-block-paragraph">- <strong>mod.BEAM</strong>: for parametric CAD design and programming of open sections (L, U, C, IPE, UNP)</p>



<p class="wp-block-paragraph">- <strong>mod.6th AXIS TUBE</strong>: for handling machines with tilting tilting head, for performing bevel and chipping cuts</p>



<p class="wp-block-paragraph">- <strong>Mod.DSTV for Libellula.TUBE</strong>: for importing 3D DSTV files in .nc and .nc1 format</p>



<p class="wp-block-paragraph">At the technology application stage, the <strong>mod.NESTING TUBE</strong> which allows the creation of automatic or semi-automatic nesting on tubular bars, with 3D cutting simulation and automatic creation of the machine programme (OSR).</p>



<figure class="wp-block-image size-large is-resized"><img loading="lazy" decoding="async" width="555" height="312" src="https://libellula.eu/wp-content/uploads/2026/04/image-7.png" alt="" class="wp-image-9409" style="width:417px;height:auto" srcset="https://libellula.eu/wp-content/uploads/2026/04/image-7.png 555w, https://libellula.eu/wp-content/uploads/2026/04/image-7-300x169.png 300w, https://libellula.eu/wp-content/uploads/2026/04/image-7-18x10.png 18w" sizes="(max-width: 555px) 100vw, 555px" /></figure>



<h2 class="wp-block-heading" id="h-step-4-sistema-a-bordo-macchina-gestione-real-time-dell-avanzamento-lavori">STEP 4 - On-board system: real-time management of work progress</h2>



<p class="wp-block-paragraph">Having generated the machine programmes and built the work queue, the process moves to the workshop. And it is here that the difference between a connected and an integrated system becomes most obvious.</p>



<p class="wp-block-paragraph"><a href="https://libellula.eu/en/software/libellula-visio/">Libellula.VISIO</a> is Libellula's on-board MES system, designed to provide real-time production control.</p>



<figure class="wp-block-image size-full is-resized"><img loading="lazy" decoding="async" width="662" height="370" src="https://libellula.eu/wp-content/uploads/2026/04/image-8.png" alt="" class="wp-image-9410" style="width:440px;height:auto" srcset="https://libellula.eu/wp-content/uploads/2026/04/image-8.png 662w, https://libellula.eu/wp-content/uploads/2026/04/image-8-300x168.png 300w, https://libellula.eu/wp-content/uploads/2026/04/image-8-18x10.png 18w" sizes="(max-width: 662px) 100vw, 662px" /></figure>



<p class="wp-block-paragraph">With Libellula.VISIO, operators can:</p>



<p class="wp-block-paragraph">- View and manage the job queue directly from the plant</p>



<p class="wp-block-paragraph">- Estimating processing times and monitoring their progress</p>



<p class="wp-block-paragraph">- Real-time communication with the technical department</p>



<p class="wp-block-paragraph">- Declare faulty parts during production, stating the reason for them</p>



<p class="wp-block-paragraph">- Printing labels and production reports</p>



<p class="wp-block-paragraph">The connection with the plant CNC is via the <strong>mod.LiveSync</strong>, which supports the most advanced communication standards: text files (.xml, .csv), WebService, OPC/UA, IPC/IP and SQL databases.</p>



<p class="wp-block-paragraph">This means that every event on the shop floor - start of work, end of machining, rejected part - is immediately visible to the technical department, closing the information circle between programming and production.</p>



<p class="wp-block-paragraph">In this way, when an operator declares a defective part via Libellula.VISIO, the information is automatically transmitted to the order module in CAD/CAM, which processes it and arranges for the discarded part to be re-cut without the need for manual re-entry of data, risk of errors or loss of time.</p>



<h2 class="wp-block-heading" id="h-un-flusso-produttivo-completo-anche-per-i-tubolari">A complete production flow, even for tubulars</h2>



<p class="wp-block-paragraph"><strong>Libellula.JOBSHOP TUBE</strong> brings to tube cutting the same level of digital integration that Libellula has developed for flatbed cutting: a consistent, traceable, connected flow from the engineering department to the machine.</p>



<p class="wp-block-paragraph">Concrete benefits for your company:</p>



<p class="wp-block-paragraph">- <strong>Accurate and fast quotation</strong>: estimation of pipe cutting costs based on the actual technology tables of the plant.</p>



<p class="wp-block-paragraph">- <strong>Structured job management</strong>all tubular parts organised, tracked and linked to their production progress.</p>



<p class="wp-block-paragraph">- <strong>Advanced CAD/CAM programming</strong>from single tubular to complex assemblies, with automatic nesting and cutting path optimisation</p>



<p class="wp-block-paragraph">- <strong>Visibility on CNC in the workshop</strong>real-time visibility of every job, with immediate feedback and declaration of non-conforming parts.</p>



<p class="wp-block-paragraph">- <strong>Automatic data return</strong>Rejected parts re-enter the system without manual re-insertion, eliminating errors and inefficiencies.</p>



<p class="wp-block-paragraph">Libellula.Jobshop Tube is modular and scalable: each company can adopt the components best suited to its reality and evolve the solution over time, progressively integrating new functionalities.</p>



<p class="wp-block-paragraph">And if you already use <a href="https://libellula.eu/en/software/libellula-cut/">Libellula.CUT</a> for flat cutting or <a href="https://libellula.eu/en/software/libellula-bend/">Libellula.BEND</a> for bending, Libellula.TUBE integrates seamlessly into the Libellula.JOBSHOP ecosystem: a single platform to manage the entire production flow, from sheet metal to tubing, from quotation to final part unloading.</p>



<p class="wp-block-paragraph">Do you want to know how to digitise the tube cutting process in your company? Tomorrow's production starts with a digitally connected flow. Start today.</p><p>L'articolo <a href="https://libellula.eu/en/news/libellula-jobshop-tube-cutting-cad-cam-software-with-integrated-production-management/">Libellula.JOBSHOP TUBE: software CAD/CAM per tubolari con gestione produzione integrata</a> proviene da <a href="https://libellula.eu/en">Libellula</a>.</p>
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		<title>Libellula at FEIMEC 2026: Innovation for sheet metal working</title>
		<link>https://libellula.eu/en/news/f-e-i-m-e-c-2-0-2-6/</link>
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		<dc:creator><![CDATA[Silvia]]></dc:creator>
		<pubdate>Thu, 02 Apr 2026 07:05:14 +0000</pubdate>
				<category><![CDATA[News]]></category>
		<guid ispermalink="false">https://libellula.eu/?p=9342</guid>

					<description><![CDATA[<p>Libellula at FEIMEC 2026 From 5 to 9 May 2026, Libellula will participate in FEIMEC 2026, Brazil's leading international trade fair dedicated to machine tools and industrial manufacturing technologies. FEIMEC represents a strategic event for the South American market and a global reference point for innovation in the manufacturing sector. In this context, [...]</p>
<p>L'articolo <a href="https://libellula.eu/en/news/f-e-i-m-e-c-2-0-2-6/">Libellula a FEIMEC 2026: innovazione per la lavorazione della lamiera</a> proviene da <a href="https://libellula.eu/en">Libellula</a>.</p>
]]></description>
										<content:encoded><![CDATA[<h2 class="wp-block-heading" id="h-libellula-a-feimec-2026">Libellula at FEIMEC 2026</h2>



<p class="wp-block-paragraph">From 5 to 9 May 2026, Libellula will participate in <a href="https://www.feimec.com.br/en/home.html">FEIMEC 2026</a>, Brazil's leading international trade fair dedicated to machine tools and industrial production technologies.</p>



<p class="wp-block-paragraph">FEIMEC is a strategic event for the South American market and a global reference point for innovation in the manufacturing sector. In this context, Libellula will present its software ecosystem dedicated to sheet metal working, with solutions designed to optimise production processes and support the digital transformation of companies.</p>



<h2 class="wp-block-heading" id="h-un-appuntamento-imperdibile-per-l-industria-metalmeccanica">An unmissable event for the metalworking industry</h2>



<p class="wp-block-paragraph">Libellula's participation in FEIMEC 2026 confirms the company's commitment to the development of advanced technologies for the digitisation of production.</p>



<p class="wp-block-paragraph">During the exhibition, visitors will be able to discover how Libellula solutions support the entire production chain:</p>



<ul class="wp-block-list">
<li>From quotation to order management</li>



<li>From CAD/CAM programming to production</li>



<li>From MES control to integration with ERP systems</li>
</ul>



<p class="wp-block-paragraph">Libellula's signature solutions are designed to guarantee:</p>



<ul class="wp-block-list">
<li>Maximum efficiency and optimisation of production processes</li>



<li>Automating workflows and reducing errors</li>



<li>Full integration between machines, CAD/CAM, MES and ERP software</li>



<li>Advanced control of costs, time and resources</li>



<li>Concrete support for the transition to Industry 4.0 and 5.0</li>
</ul>



<h2 class="wp-block-heading" id="h-perche-visitare-libellula-a-feimec-2026">Why visit Libellula at FEIMEC 2026</h2>



<p class="wp-block-paragraph">Visiting the Libellula stand at FEIMEC 2026 means getting in touch with a technology partner specialising in the development of software for sheet metal working.</p>



<p class="wp-block-paragraph">The Libellula ecosystem enables:</p>



<ul class="wp-block-list">
<li>Simplifying daily operations</li>



<li>Optimising production time and resources</li>



<li>Improving the management of orders</li>



<li>Reducing waste and inefficiency</li>



<li>Increasing productivity and business competitiveness</li>
</ul>



<p class="wp-block-paragraph">During the event you will be able to see practical demonstrations and understand how to integrate Libellula solutions within your production ecosystem to achieve concrete and measurable results.</p>



<h2 class="wp-block-heading" id="h-incontra-il-team-libellula-a-feimec-2026">Meet the Libellula team at FEIMEC 2026</h2>



<p class="wp-block-paragraph">The Libellula team will be available for:</p>



<ul class="wp-block-list">
<li>Live demos of CAD/CAM and MES software</li>



<li>Customised consultations according to business needs</li>



<li>Technical insights into sheet metal working solutions</li>



<li>Production flow analysis and digitisation opportunities</li>
</ul>



<p class="wp-block-paragraph">FEIMEC 2026 will be the ideal time to engage directly with our experts and discover how to make production processes more efficient, integrated and future-oriented.</p>



<h2 class="wp-block-heading" id="h-dove-incontrarci-a-feimec-2026">Where to meet us at FEIMEC 2026</h2>



<p class="wp-block-paragraph">📅 When: 5-9 May 2026<br>📍 Hall C - Stand 94</p>



<p class="wp-block-paragraph">Meeting Libellula at FEIMEC 2026 means investing in innovation and business growth through software solutions designed to accompany metalworking companies in their digital transformation.</p>



<h2 class="wp-block-heading" id="h-prenota-ora-il-tuo-posto-per-feimec-2026">Book your place now for FEIMEC 2026</h2>



<p class="wp-block-paragraph">Registration is compulsory to enter the fair.</p>



<p class="wp-block-paragraph">Don't miss the opportunity to discover live all the new Libellula innovations and learn more about how our solutions can support your business.</p>



<p class="wp-block-paragraph"><strong>We look forward to seeing you at FEIMEC 2026 - Hall C, Stand 94!</strong> 🚀</p><p>L'articolo <a href="https://libellula.eu/en/news/f-e-i-m-e-c-2-0-2-6/">Libellula a FEIMEC 2026: innovazione per la lavorazione della lamiera</a> proviene da <a href="https://libellula.eu/en">Libellula</a>.</p>
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