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      <title>Industrial Equipment</title>
      <link>https://blog--3ds--com.apsulis.fr/industries/industrial-equipment/feed.xml</link>
      <description>Industrial Equipment</description>
      <lastBuildDate>Thu, 05 Mar 2026 16:10:05 GMT</lastBuildDate>
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      <title>
      <![CDATA[ Verifying robotic line feasibility with virtual twin technologies ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/industries/industrial-equipment/verifying-robotic-line-feasibility-with-virtual-twin-technologies/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/274467</guid>
      <pubDate>Wed, 04 Dec 2024 06:00:00 GMT</pubDate>
      <description>
      <![CDATA[ By leveraging Dassault Systèmes’ 3DEXPERIENCE platform on the cloud, Japanese robotic line builder Yutaka Electronics has been able to shorten its prototyping lead times by 50%.
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      <![CDATA[ 
At the International Robot Exhibition 2023 in Tokyo, Japanese robotic line builder Yutaka Electronics took the opportunity to demonstrate the full potential of robotic assembly processes.



Yutaka’s exhibit featured a line comprising several robots that perform individual functions, including loosening and tightening screws, deburring (the process of removing sharp edges and inconsistencies from materials), and appearance inspection. In addition, two automated guided vehicles transported two collaborative robots, which were mounted on stands.



Setting up this type of line usually takes Yutaka an entire day. However, by using the virtual commissioning capabilities of Dassault Systèmes’ 3DEXPERIENCE platform on the cloud, it was able to complete the work in half the time.



Commissioning is the process of checking that a robotic line actually works as intended. It’s usually a physical process that takes place on the shop floor. Dassault Systèmes’ 3DEXPERIENCE platform enables companies like Yutaka to create a 3D virtual twin of their equipment, which they can then test and validate before the line is built for real.



“By leveraging virtual commissioning during the design process, we can assess whether the work quality, cycle times, space layouts and workflows meet the users’ needs and then proceed with the engineering process,” said Daisuke Matsuo, a project manager in the research and development team at Yutaka Electronics. “This approach offers the advantage of nearly completing the confirmation of feasibility before integrating the production components required for manufacturing system implementation.” &nbsp;



Yutaka’s approach to virtual commissioning was also on display at the exhibition. The company set up its virtual environment alongside its physical robotic line, demonstrating how it will use the 3DEXPERIENCE platform to pre-verify feasibility of required specifications, ensure equipment reliability and reduce the time and costs associated with on-site commissioning.



Yutaka Electronics and Dassault Systèmes also hosted a joint exhibitor seminar at the exhibition, focusing on the latest trends in industrial robots and virtual technology.



This is just the start of things to come. “We will strengthen our collaboration with Dassault Systèmes in the future and enhance our capabilities as a system integrator supporting automated manufacturing systems, to assist our customers in building production lines more swiftly and reliably,” said Matsuo.



Read the full customer story to discover more about how Yutaka Electronics is leveraging tools from Dassault Systèmes to help it strengthen its position in a rapidly growing market.
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      <title>
      <![CDATA[ Developing smart thermostats in record time ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/industries/industrial-equipment/developing-smart-thermostats-in-record-time/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/274028</guid>
      <pubDate>Wed, 27 Nov 2024 06:00:00 GMT</pubDate>
      <description>
      <![CDATA[ Italian manufacturer CAREL reduced the development time of its iJ thermostat from 100 days to just 10 by managing all design, engineering and manufacturing processes within the 3DEXPERIENCE platform.
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      <![CDATA[ 
The iJ thermostat is one of the most customizable products in CAREL’s range of air conditioning, refrigeration and heating control solutions. It was also developed by the Italian company in record time: just 10 days instead of the usual 100 days that it takes to get a product designed, made and out in the field.



How did CAREL successfully do this? Well, it changed the entire way it manages all aspects of design, engineering and manufacturing.



Before, the company’s product development cycles involved lengthy stages of physical prototyping, testing, and redesign, which were resource-intensive and slowed time to market. Teams also used disconnected tools and data systems, leading to inefficiencies in collaboration and decision-making.



Now, CAREL handles all product development within Dassault Systèmes’&nbsp;3DEXPERIENCE platform on the cloud, and designs, tests and refines everything virtually. Through this vertical process integration and automated exchange of data from one stage to the next, CAREL can mitigate errors early on and, from the very beginning, consider customer requirements all the way through to the setup of the manufacturing line.



“Being able to centrally manage our data in the platform allows us to industrialize a new product very quickly,” said Luca Toffanin, group product platform manager and PLM manager at CAREL. “Handling all processes via the 3DEXPERIENCE platform means that everything is clear and connected, and information flows between systems.”&nbsp;



Original equipment manufacturers (OEMs) use the iJ thermostat to better regulate temperatures and optimize energy usage in the refrigerators, freezers and wine coolers they make. Because it needs to blend into their products seamlessly, they must be able to configure the thermostat’s color and size of displays and cases, as well as create unique icons and buttons.



Today, CAREL efficiently manages all product variants for its iJ control solution in the 3DEXPERIENCE platform. Having a central product structure allows CAREL to clearly visualize customization options, understand the rules governing variants, and verify how components work together to make sure every proposed combination is feasible ahead of production. This streamlined approach accelerates design, significantly reducing the time spent on testing and verification – a process that previously took up to 30 days.



By mastering all of this complexity virtually, CAREL no longer needs to make as many physical prototypes and is reducing material waste in production, contributing to a more efficient and sustainable product development process. Its customers are more satisfied too. They can now choose from more customization options. And they no longer need to check multiple samples, or risk receiving products that don’t carry the features they wanted.



Discover more about how CAREL transformed its product development process and achieved faster, more sustainable innovation.




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      <title>
      <![CDATA[ Workflow: Modeling and Simulation of a Tower Crane ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/brands/simulia/workflow-modeling-simulation-tower-crane/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/273797</guid>
      <pubDate>Fri, 22 Nov 2024 17:34:03 GMT</pubDate>
      <description>
      <![CDATA[ This blog post shows how multiple Dassault Systèmes applications can be combined to create a full workflow for Tower Crane Simulation.  
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      </description>
      <content:encoded>
      <![CDATA[ 








Introduction



A tower crane is a modern form of a balance crane with the same basic parts. Fixed to the ground on a concrete slab (and sometimes attached to the sides of structures), tower cranes often give the best height and lifting capacity and are used to construct tall buildings.



The conditions under which the crane operates determine its general dimensions very largely. The height is fixed by the height of the tower it is constructed and the radius at which the maximum load is to be lifted, as determined by practical considerations and the construction site.



During the design of these cranes, static loads are generally considered based on utility requirements/load-carrying capacity, but forces and torques on components resulting from motion simulations can also serve as useful input for detailed structural analysis.



Below is a concise overview of a tower crane workflow, highlighting the tools and processes used.



Workflow Overview



1. 3D Modeling:



&nbsp; &nbsp;&#8211; We created detailed 3D models of each component using&nbsp;3DExperience CATIA:



&nbsp; &nbsp; &nbsp;&#8211;&nbsp;Part Design App&nbsp;for individual components.



&nbsp; &nbsp; &nbsp;&#8211;&nbsp;Assembly Design/Mechanical Systems Design App&nbsp;for assembling the crane.



2. Dynamic Simulation:



&nbsp; &nbsp;&#8211; Using the assembled model, we employed the&nbsp;Motion Analysis App&nbsp;to create mechanisms and perform dynamic simulations, analyzing the crane&#8217;s movement and interactions.



3. Structural Analysis:



&nbsp; &nbsp;&#8211; To analyze the structural integrity of the hoist:



&nbsp; &nbsp; &nbsp;&#8211; We used the&nbsp;‘transfer loads’&nbsp;command from&nbsp;Motion Analysis&nbsp;to generate a simulation object that includes load data.



&nbsp; &nbsp; &nbsp;&#8211; This object is compatible with structural analysis apps like&nbsp;Structural Model Creation&nbsp;and&nbsp;Mechanical Scenario Creation, where we finalized couplings and computed structural simulations.







4. Cable Modeling:



&nbsp; &nbsp;&#8211; Since the Motion Analysis app currently lacks the capability to simulate cables:



&nbsp; &nbsp; &nbsp;&#8211; We utilized&nbsp;Simpack&nbsp;to model the cable elements.



&nbsp; &nbsp; &nbsp;&#8211; We exported our assembly from 3DExperience to Simpack using the connector, which converts the model into a format compatible with Simpack, complete with mass and inertia data.



5. Enhancing the Simpack Model:



&nbsp; &nbsp;&#8211; In Simpack, we extended the model to include:



&nbsp; &nbsp; &nbsp;&#8211; Pulleys for cable support.



&nbsp; &nbsp; &nbsp;&#8211; Connections and excitations to represent motors.



&nbsp; &nbsp; &nbsp;&#8211; The cable element itself.



&nbsp; &nbsp;&#8211; This allowed us to simulate the full behavior of the Tower Crane, including cable dynamics. We reviewed results and animations within Simpack to analyze crane performance.



To view the full workflow, visit the SIMULIA Community post, which includes a PowerPoint presentation and a video that provide a more detailed explanation of the workflow and findings.&nbsp;











Interested in the latest in simulation? Looking for advice and best practices? Want to discuss simulation with fellow users and Dassault Systèmes experts?&nbsp;The&nbsp;SIMULIA Community&nbsp;is the place to find the latest resources for SIMULIA software and to collaborate with other users. The key that unlocks the door of innovative thinking and knowledge building, the SIMULIA Community provides you with the tools you need to expand your knowledge, whenever and wherever.
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      <title>
      <![CDATA[ Accelerating tire innovation through integration ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/industries/industrial-equipment/accelerating-tire-innovation-through-integration/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/271562</guid>
      <pubDate>Fri, 25 Oct 2024 17:26:54 GMT</pubDate>
      <description>
      <![CDATA[ Discover why an integrated platform is crucial to drive unprecedented growth and innovation in the tire industry.   
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      </description>
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      <![CDATA[ 
What happens when the world doubles its miles driven by 2030? Not only will we see more vehicles on and off roads, but we also expect carbon emissions to skyrocket. Even as autonomous and electric vehicles (EVs) rise to the challenge of leading the shift to decarbonization, one other critical player emerges — tire manufacturers.   



Tires are crucial to ensuring the performance and safety standards EVs and autonomous vehicles demand. To keep up with new material, performance and environmental demands, innovation has to be faster and smarter.



The good news? Dassault Systèmes’ 3DEXPERIENCE® platform can help. It empowers you to integrate multidisciplinary teams to innovate quickly and precisely.



Why Integration Matters



Our platform is pivotal to providing a unified environment where all stakeholders can collaborate seamlessly to: &nbsp;




Break down silosEnd-to-end integration enables real-time iteration and teamwork to simplify complex tire designs. This boosts transparency, quality and traceability in bringing innovative tires to market faster.



Accelerate innovationAdvanced multiphysics simulation reduces the dependency on lengthy and costly prototypes, speeding up the development cycle. Innovative concepts, such as additive manufacturing of the mold and tire corner modules, can improve tire quality and performance, while opening doors to new services, such as fleet management.&nbsp;



Optimize manufacturing operationsFrom tire specs to mold design, the platform ensures digital continuity so supply chains and operations stay synchronized and efficient, leading to higher first-time-right rates and shorter time to market.



Improve product quality and risk managementContinuous risk assessments, quality management and data-driven improvements minimize recalls and improve product quality.



Boost recyclabilityWith less than 10% of rubbers being reused in new tires today, the platform’s integrated approach enables manufacturers to design recyclability from the start and better manage end-of-life tires, reducing carbon footprint at every lifecycle stage.risk assessments, quality management and data-driven improvements minimize recalls and improve product quality.




Optimize Cost Through Integration



Although tire innovation is crucial, keeping costs low is just as important. Do you know that material innovation for example, drives about 80% of tire innovation? Imagine how much time and money can be saved by cutting down physical prototypes and lengthy development time. With real-time collaboration on our platform, you can source materials efficiently and increase production and yield while reducing waste, raw materials and production costs.



As demands fluctuate, tire portfolio sizes will also increase. Batch sizes will be reduced, pushing manufacturers to adapt quickly to produce diversified batches of smaller quantities. Integration gives you the speed and agility to adapt while tightening your grip on cost. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;



Sustainability on the Road Ahead



Are you optimizing the materials used for your tires? Can you recycle end-of-life tires effectively? Do you have plans to reduce carbon emissions at your manufacturing sites?



Our 3DEXPERIENCE platform enables you to drive the right sustainable initiatives. Its tools and capabilities facilitate biomaterial research, enhance virtual testing to reduce costly physical prototypes and boost first-time-right rates that minimize waste and promote circularity. This integrated approach strengthens key initiatives in energy and material-saving tires, and accelerates bio-sourced materials development, fuel-cell-based mobility solutions and carbon-neutral tires.&nbsp;&nbsp;&nbsp;&nbsp;



Lead the way forward



Our innovative tire solutions lead the way in the tire revolution with three key advantages:




Modeling and simulation (MODSIM)The 3DEXPERIENCE platform is the only unified platform capable of modeling and simulating in a single environment, giving you more flexibility, speed and precision to explore design possibilities. &nbsp;



Manufacturing excellenceDELMIA Apriso Manufacturing Execution Systems (MES) offers precise and advanced planning, scheduling and production flow synchronization to optimize large and complex operations across plants worldwide.



Agile sales and operations planningDELMIA Quintiq solutions tackle even the toughest, most complex logistics puzzles efficiently.




As mobility evolves, so must the tire industry. The road ahead may be challenging, but with our 3DEXPERIENCE platform, you are well-equipped to lead innovation in the tire industry. Learn more about our precision-driven innovation in the tire industry here.
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      <title>
      <![CDATA[ Machine Learning Accelerates Centrifugal Pump Design ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/brands/simulia/machine-learning-accelerates-centrifugal-pump-design/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/270885</guid>
      <pubDate>Thu, 17 Oct 2024 18:54:02 GMT</pubDate>
      <description>
      <![CDATA[ In this blog post, we show how machine learning can be used in the design process of a centrifugal pump to optimize diffuser geometry. The AI model is trained on data from best-in-class simulation tools which produce reliable data that closely agrees with experimental validation results. Using a trained AI model based on simulation data, engineers can explore the impact of changes to diffuser parameters with instant feedback.
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      </description>
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      <![CDATA[ 
Introduction



Centrifugal pumps are widely used for pumping low-viscosity fluids such as water, oil and many industrial chemicals. A centrifugal pump consists of a central inlet and a rotating impeller that accelerates the fluid and forces it through the outlet along the outer rim of the pump. Centrifugal pumps also typically include diffusers: fixed vanes inside the pump that slow the fluid and increase pressure while also increasing the uniformity of the flow. The precise geometry of these diffusers affects the performance and efficiency of the pump.



Challenges in Centrifugal Pump Design



Centrifugal pumps are widely used in industrial applications such as oil pumping, water &amp; sewage processing, and industrial chemical facilities. They are mechanically simple and capable of moving low-viscosity fluids efficiently. However, the flow must be kept uniform to keep loads constant. Non-uniform flows can force the pump out of its optimal operating range and increase noise and fatigue on the shaft.



For this reason, diffusers are often used inside the pump. These take the form of a stator with curved vanes arranged around the impeller in the opposite direction. The diffuser must be able to regularize and slow the fluid flow while minimizing turbulent flow effects such as flow separation caused by the interaction of the flow with the diffuser vanes. The performance of the pump depends significantly on the design of the diffuser, impeller &amp; volute, and the interaction between the impeller and diffusor.



3D model of the centrifugal pump with the main sections highlighted. Fluid enters at the inlet and is driven by the impeller through the diffuser to the outlet.







The European Research Community on Flow, Turbulence and Combustion (ERCOFTAC) has developed an open-source pump model for the modeling &amp; simulation community to create best-practices and make methodology improvements. As this has been validated by both experiment and simulation, this is a good test case to demonstrate the benefits of machine learning on.



Centrifugal Pump Diffuser Optimization



Close-up of the pump model.







This optimization study focused on the diffuser geometry. There are four parameters to vary here: vane thickness, chord length, inlet angle and outlet angle. The complex interdependencies between these mean that all need to be considered at the same time in the optimization. The simulation was performed using CFD tools on the 3DEXPERIENCE platform.











Top left: Leading edge angle can define the sharpness in the change of flow direction



Bottom left: Trailing edge angle can define the extent of change in flow direction



Top right: Thickness of a vane can define the pinching or expansion of the flow



Bottom right: Chord or the curved length of the vane can play an important role in flow separation



Simulating every possible combination of these parameters with full computational fluid dynamics (CFD) would be prohibitively time consuming. One-dimensional simulations are sometimes used instead to reduce the computational requirements, but these give poor results. Instead, we turned to machine learning (ML). A surrogate AI model can be trained on a sample of full CFD simulation results to replicate the behavior of flows within the pump with different parameters. The resulting model was then validated against further simulations and physical tests and showed excellent agreement with both the full simulation data and the measured data.











The trained AI model was able to provide results, within 2% of the CFD data, for any combination of parameters within the specified range in a matter of minutes. This gives engineers rapid feedback about the impact of a design change, allowing them to consider large numbers of scenarios to accelerate design decisions. With design exploration powered by this machine learning model, engineers could quickly find a trade-off that best meets their design requirements.



Conclusion



Improving the performance of centrifugal pumps can increase efficiency while reducing noise and extending fatigue life. CFD simulation reveals the effect of design variations on the performance of the pump, and machine learning can be used to train a generative AI experience model from these results. This model can quickly predict performance for different parameter combinations and guide engineers to quickly find the optimal pump design for their requirements. With the combination of CFD simulation and machine learning, engineers can develop products faster and get fast, reliable feedback about the effect of design changes on performance.



For more information about this application, see the paper “Improving Performance of a Centrifugal Pump Through a CFD DOE Study of Radial Diffuser Design”.



To discuss the application of machine learning and AI to simulation, join us on the Machine Learning wiki in the SIMULIA Community.











Ani Rajagopal has been serving as an Industry Process Consultant at SIMULIA since 2019, joining the Worldwide Fluids team following the integration of Exa Corporation. With nearly 8 years of expertise in fluids and thermal sciences, he serves as an expert voice in supporting customers across all industries including Industrial Equipment and Transportation &amp; Mobility. In his role within the Worldwide SIMULIA Fluids team, he focuses on enhancing fluid solutions through physics-testing, and deploying these solutions to optimize customer processes, particularly through automation. Recently, he has been a key member of the core validation group for SIMULIA’s AI/ML initiatives, specifically for fluids-related applications.











John Higgins is an Industry Process Consultant at SIMULIA.  He joined Dassault Systèmes in 2019, following the integration of Exa Corporation.  John has over 10 years of experience in fluids and thermal sciences, during which he has worked in pre-sales, post-sales support, and services capacities.  He has experience supporting customers across all industries, including Transportation &amp; Mobility, Industrial Equipment, and Aerospace &amp; Defense.  In his current role, he focuses on enhancing fluid solutions through development of first-of-a-kind processes, physics validation testing, and deploying fluid solutions to optimize customer processes. Recently, he has been a key member of the core validation group for SIMULIA’s AI/ML initiatives, specifically for fluids-related applications.











Interested in the latest in simulation? Looking for advice and best practices? Want to discuss simulation with fellow users and Dassault Systèmes experts?&nbsp;The&nbsp;SIMULIA Community&nbsp;is the place to find the latest resources for SIMULIA software and to collaborate with other users. The key that unlocks the door of innovative thinking and knowledge building, the SIMULIA Community provides you with the tools you need to expand your knowledge, whenever and wherever.
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      <title>
      <![CDATA[ How Etteplan has improved collaboration with its customers ]]>
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      <link>https://blog--3ds--com.apsulis.fr/industries/industrial-equipment/how-etteplan-has-improved-collaboration-with-its-customers/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/268993</guid>
      <pubDate>Wed, 11 Sep 2024 05:00:00 GMT</pubDate>
      <description>
      <![CDATA[ By adopting the 3DEXPERIENCE platform, Etteplan can co-design solutions with its customers in the same software environment.
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      <![CDATA[ 
Finnish company Etteplan is a pioneer in engineering solutions. Its services are geared to improve the competitiveness of its customers’ products and engineering processes. In fact, Etteplan believes that, together with its customers, it is building a world where every system, process and product can be made smarter, more efficient and more sustainable.



For this vision to be realized, Etteplan works hand-in-hand with its customers, acting as a partner as well as a supplier, and helping them to tackle problems that they don’t necessarily know how to solve themselves. To do this, Etteplan must be able to respond quickly with an effective approach.



One of its oldest and most prominent customers is Valmet, a leading global developer and supplier of process technologies, automation and services for the pulp, paper and energy industries.



Together with Valmet, Etteplan designs and delivers the various parts that make up paper and pulp machines and assists with the electrics and automation. These are complex projects comprising many components – such as the drive machine, the piping works and the mill technology – and therefore require collaboration between the two companies.



However, until recently, Etteplan’s ability to work closely with Valmet was hampered by its disparate technology infrastructure. Since Valmet was already a user of Dassault Systèmes’ 3DEXPERIENCE platform, and Etteplan was already using CATIA for design, Etteplan decided it made sense for it to adopt the 3DEXPERIENCE platform too.



Following a fast implementation, thousands of employees from both Etteplan and Valmet are now able to work together in real time, right within the platform. With all files stored in a centralized location, users always have access to the latest information, so versioning errors are now a thing of the past.



This means that new projects can be completed faster, more efficiently and with far fewer errors. As a result, Etteplan can do more production work than it has ever done in the past.



“If we work faster, create better solutions and make fewer mistakes, then it will be much easier to get new customers,” said Jari-Pekka Mielonen, Etteplan’s regional manager.



Learn more about the benefits that Etteplan is realizing from the 3DEXPERIENCE platform. Plus, discover how it plans to leverage even more Dassault Systèmes’ tools to work even smarter with more customers, and also attract a new generation of talent with its modern tools.   
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      <title>
      <![CDATA[ Sustainable Production: The Green Wave of Heavy Mobile Machinery and Equipment – Challenges and Opportunities ]]>
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      <link>https://blog--3ds--com.apsulis.fr/industries/industrial-equipment/sustainable-production-the-green-wave-of-heavy-mobile-machinery-and-equipment-challenges-and-opportunities/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/267858</guid>
      <pubDate>Fri, 02 Aug 2024 17:45:22 GMT</pubDate>
      <description>
      <![CDATA[ The green wave of sustainable innovation is gaining momentum in the heavy mobile machinery and equipment industry, fuelled by multiple factors. From ever more stringent environmental rules to end customers who are paying increasingly more attention to brands’ ESG policies.
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      <![CDATA[ 
From concept to production, from marketing to maintenance, the heavy mobile machinery and equipment industry is facing a radical transformation touching multiple aspects: digital management, power usage, economic viability and environmental impact. There are multiple issues on the table ranging from managing information – data and process management software, hardware and networking – to managing the energy used to power both data centers and heavy machinery -, which radically change development timing and methods, but also communication and distribution, as well as after-sales service strategies. Thus, from the increasingly pervasive use of technology to a regulatory evolution aimed at reducing environmental and social impact, from the search for more resilience supply chains impacted by legislative, political, climate and health variables to the search for the innovation that transforms customer satisfaction into loyalty, manufacturers and OEMs seek to combine quality and sustainability, moving from more intelligent and sustainability-oriented innovation.



Sustainability and Innovation in Energy Consumption



The most innovative manufacturers are investing in multiple operational and design fronts, developing a wide range of eco-friendly options.



Many manufacturers are focusing on optimizing engine performance, reducing fuel consumption at idle, and using lightweight materials to improve overall fuel efficiency. Incorporating energy-efficient features into your equipment, such as electrical motors, regenerative braking systems and automatic shutdown mechanisms, helps reduce consumption, fuel costs and environmental impact.



Sustainable design focuses on multiple development horizons: for example, modern electric excavators and wheeled loaders can run on rechargeable batteries, eliminating diesel emissions and significantly reducing noise pollution, creating a healthier and more pleasant working environment for their operators and nearby communities. Advances in battery technology are increasing both power and performance, making these solutions usable for a wider range of applications.



There is also a growth in the production of engines powered by alternative fuels: biofuels and hydrogen are gaining ground, providing cleaner alternatives to traditional diesel fuel. Hydrogen-powered fuel cells offer zero emissions and extended range, also making them ideal for larger equipment.



In general, by combining electric and alternative fuels engines, the heavy mobile machinery and equipment industry is concretely embracing the energy transition, reducing the overall CO2 emissions of the industry.



Introducing the Concept of Circular Economy



The transition towards a circular economy also has a deep impact on the heavy mobile machinery and equipment industry by perfecting Product Lifecycle Management with the inclusion of all aspects related to recyclability and the reduction of end-of-life waste. Reducing the dependence on virgin materials and improving the efficiency of production cycles, as well as increasing the sustainability of projects and products, allows designers to reduce costs, maintaining the overall efficiency of products and components.



By adopting an end-to-end approach, manufacturers are extending the scope of project evaluation from production alone to a cradle-to-cradle vision, aligning with the most virtuous concepts of the circular economy. The goal is to create a closed cycle of materials and resources in which each product is designed so that, at the end of its lifecycle, its components can be completely reused or recycled without generating waste. This requires careful selection of materials, favoring those that do not contain toxic substances and which can be efficiently recovered at the end of the product&#8217;s lifecycle. The process is sustainable because it is designed to maximize the recovery of high-quality materials which can be reintroduced into the production cycle: for example, metals can be melted and used to create new components while recycled plastics can be used to manufacture non-structural components, further reducing the environmental impact.



The goal is to extend the life of the equipment as much as possible. This is achieved by favoring a concept of productization expressed through a modular design, which allows individual components to be updated or replaced without discarding the entire machine. At the end of the machine’s lifecycle, the components must be easy to disassemble and separate for recovery.



Innovation and Collaboration



Implementing a cradle-to-cradle vision requires innovation and collaboration between manufacturers, material suppliers, recyclers and other stakeholders. This means that businesses must work together to develop new technologies and processes that support the recycling and reuse of materials, as well as promote sustainable practices throughout the supply chain. The technological innovations of recent years are helping to profoundly transform processes and procedures, leading factories to abandon reactive and dysfunctional management, moving on to choose predictive management enabled by the use of IoT sensors and actuators as well as management platforms focused on virtual environments and simulations powered by specialized machine learning algorithms and solutions. By moving from Industry 4.0 to Industry 5.0, i.e. embracing a model that is not only integrated and synchronized but also extremely collaborative, the heavy mobile machinery and equipment supply chain today has maximized its capacity for vision and action.



Sustainable Production is a Data-Driven Process



The key premise is that factory digitization allows producers to manage information quickly, processing it in a more advanced and analytical way, systematizing multidisciplinary skills and experiences to support every decision-making process in the supply chain by enabling collaboration at unprecedented levels. Instead of a silo-oriented production culture, where orders, technical data and feasibility projects exist across multiple departments (designers, engineers, technicians, programmers, salespeople, purchasing office, administration, customer service and so on), and are almost never integrated and synchronized, by using a single collaborative and securitized platform, designers can create a three-dimensional virtual twin of the product which is far cheaper and more sustainable than a physical prototype, as well as taking into account constraints, requirements, specifications, needs and variables. Experimenting with a virtual prototype in an infinite capacity simulation environment through static and dynamic images, allows designers to gain an understanding of all the geometric, mechanical, thermal, hydraulic and electronic characteristics of the product, gaining an insight into what happens inside the materials, gears and components. Thanks to this information transparency in the demo phase, the customer still has room to ask for changes and additional specifications based on needs that they may have not considered initially.



New Metrics Required for Sustainable Transition in Heavy Machinery



For the Heavy Machinery industry, carbon neutrality is just the first step of a more functional and virtuous approach. The next step is understanding how to achieve net zero at the process level, measuring the end-to-end environmental impact of a business’s activities. Starting from the management of natural resources, companies must consider the entire lifecycle of materials, from extraction to disposal, to identify the most environmentally friendly options while also improving operational and production efficiency.



In this sense, Life Cycle Assessment (LCA) plays a crucial role in measuring the environmental impact of products and services from procurement of raw materials to delivery of the finished product.



The 3DEXPERIENCE platform offers digital continuity along the entire value chain, guaranteeing a holistic vision that allows you to develop machinery that not only satisfies required technical specifications but also reaches all the quality, reliability and sustainability standards expected by customers and required by regulators.



The 3DEXPERIENCE platform: Building in Sustainability from the Drawing Board



Specifically, the Sustainable Innovation Intelligence solution unified into the 3DEXPERIENCE platform integrates LCA (Life Cycle Assessment) technologies and virtual twins with design and delivery functions to enable a detailed environmental assessment right at the design phase and subsequently make it available to all participants in the downstream innovation process. This new technological asset allows all Heavy Mobile Machinery and Equipment operators to implement sustainability objectively and functionally right from the very beginning of the design phase, with a clear understanding of which actions have the greatest total environmental impact and providing reliable information for everyone in all contexts, from raw material procurement to production and recovery.



Sustainable Innovation Intelligence allows you to:




Follow a sustainability-oriented engineering approach, pursuing sustainable goals, strengthening eco-design practices and driving eco-friendly innovation throughout the product lifecycle.



Follow a sustainability-oriented engineering approach, pursuing sustainable goals, strengthening eco-design practices and driving eco-friendly innovation throughout the product lifecycle.



 Assess and optimize sustainability-oriented human activities with a clear understanding of the environmental impact along the entire value chain, from raw material procurement to packaging, from production to transportation, from maintenance to recovery, to end-of-life.



Explore design alternatives and model different scenarios using a parameterized simulation, which allows design teams to work collaboratively, determining the best trade-offs with measurable benefits to identify the best sustainable solutions.




Discover more about how the 3DEXPERIENCE platform&nbsp;is shaping the next generation of heavy mobile machinery&nbsp;here.
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      <title>
      <![CDATA[ Expanding the Frontiers of Robotics ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/brands/delmia/expanding-the-frontiers-of-robotics/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/266274</guid>
      <pubDate>Thu, 25 Jul 2024 15:00:48 GMT</pubDate>
      <description>
      <![CDATA[ Take a look behind the scenes of a high-tech company breathing and living a start-up spirit: Agile Robots SE being at the forefront of pushing the boundaries of what robots can do in the manufacturing industry.
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      <![CDATA[ 
When I sat down with Andreas Spenninger, Industrialization &amp; Safety Manager at Agile Robots SE, I knew right at the beginning I was in for an enlightening conversation and an impressive look behind the scenes of a high-tech company breathing and living a start-up spirit.



Agile Robots is at the forefront of pushing the boundaries of what robots can do, and I was eager to learn more about their innovative approach and industrial-grade cobot Yu 5 Industrial, which is now available on the DELMIA Robotics Library.



A New Era of Robotics



&#8220;At Agile Robots, we’re all about making robots smarter and more adaptable,&#8221; Andreas began, his enthusiasm palpable. &#8220;We are about breaking out of the traditional limitations and exploring new possibilities being committed to connect artificial intelligence (AI) and robotics technologies. Our goal is to develop robots that can handle tasks autonomously and efficiently, using advanced AI and machine learning facilitating safe human-robot interaction.&#8221;



As Industrialization &amp; Safety Manager at Agile Robots SE, Andreas Spenninger manages the development of industrial-grade products &#8211; from prototypes to production.



This vision is particularly important in Europe, where the demand for cutting-edge robotics solutions is growing rapidly. According to the International Federation of Robotics (IFR), Europe accounted for 33% of the global supply of industrial robots in 2022 with a strong focus on innovation and high-tech solutions.



&#8220;European companies are looking for solutions that aren’t just efficient, but also adaptable to changing customer demands and market challenges,&#8221; Andreas pointed out. &#8220;That’s where Agile Robots comes in. We’re developing solutions that enhance production quality, speed, and of course, workplace safety.&#8221;



And the demand for advanced robotics solutions is steadily increasing, especially in industries such as automotive, logistics, healthcare, and manufacturing. In 2023, the European robotics market was valued at approximately €14.6 billion, with projections estimating it will grow to €21.7 billion by 2027, reflecting a compound annual growth rate (CAGR) of around 8.5%.



Agile Robots has recognized what European companies are seeking. “We conduct strong market research and are setting up modern product management in a way that we can really identify the right problems our customers face. Having this data, we can design the right solutions especially for niches or new market segments.”



Say Hello to Yu 5 Industrial



Andreas&#8217; excitement was infectious as he described the features of the industrial-grade cobot: &#8220;The Yu 5 Industrial is all about taking human-robot collaboration to a new level. It’s equipped with advanced sensors in every axis and precise motion control, so it can handle complex tasks across various industrial applications. One of the things I love most about the Yu 5 Industrial is the combination of robotics and embodied AI,&#8221; Andreas said. &#8220;Thanks to our advanced algorithms, it can solve problems, which haven’t been automatable before. That’s a game-changer in the manufacturing industry.&#8221;



The Yu 5 Industrial from Agile Robots SE



He also emphasized how user-friendly the Yu 5 Industrial is. &#8220;Even if you don’t have deep programming knowledge, you can easily program the cobot. It was designed to be accessible to everyone,&#8221; Andreas explained. &#8220;Plus, it’s packed with safety features to ensure a safe collaboration between humans and robots.&#8221;



And all are validated by the TÜV Süd Certification, which was recently achieved emphasizing the quality, safety, and reliability of the industrial-grade cobot. “This certification holds great importance for us as it strengthens the trust of our customers and helps us solidify our position as a solid provider of industrial robots. It demonstrates our continuous efforts to improve and comply with industry standards. Having this know-how built up and being compliant with standards and regulations is a big enabler for selling the robot to our industrial customers,” Andreas says.



It&#8217;s there &#8211; on the DELMIA Robotics Library!



The Yu 5 Industrial has been available on the DELMIA Robotics Library since April 2024. Available on the 3DEXPERIENCE platform, it provides access to advanced robotic models, facilitating precise and efficient production processes. Manufacturers can simulate and optimize robotic operations in a virtual environment, reducing errors and downtime. This leads to enhanced productivity, lower operational costs, and increased flexibility in adapting to changing production demands.







“This is perfectly in line with our company strategy of providing industrial products while simplifying integration to save time and costs for users. This decision stems from our commitment to overcoming obstacles and ensuring the most time-efficient integration possible,” Andreas explains.



“From our perspective, offering our portfolio long-term on the DELMIA Robotics Library holds significant advantages: It enhances sustainability and supports lean manufacturing practices, enabling businesses to design factories using virtual twin technology. This approach minimizes waste through optimized production planning and enhances throughout across the entire value chain. For our customers, this means access to a powerful tool that not only streamlines processes but also contributes to environmental consciousness and efficiency.”



“We as Agile Robots chose this platform because it aligns with our vision of fostering innovation, efficiency, and sustainability in industrial automation. Last but not least, we do use the 3DEXPERIENCE platform by ourselves,” Andreas concludes.



Agile Robots and the 3DEXPERIENCE Platform



“The decision to implement a Product Lifecycle Management (PLM) system stems from recognizing that managing documents across multiple platforms was inefficient, error-prone, and time-consuming, especially during the certification process. Fragmented documentation hindered collaboration, introduced inconsistencies, and slowed down workflows. To tackle these challenges and improve efficiency, accuracy, and speed, we identified PLM as a key strategy,” Andreas summarizes the reasons why Agile Robots went for the 3DEXPERIENCE platform.



“By centralizing document management and streamlining processes through a PLM system, we aimed to eliminate silos, reduce errors, and accelerate decision-making. This transition not only enhanced operational efficiency but also bolstered quality control and compliance efforts. Moreover, investing in a PLM solution reflected the company&#8217;s commitment to provide its engineers and team members with the best tools and working conditions possible.”



Over the years, Agile Robots has enjoyed a deeply positive experience with Dassault Systèmes&#8217; products, especially SOLIDWORKS for their development needs. “The exceptional service from both Dassault Systèmes and our distributor, Bechtle PLM, combined with their thorough consultations, has built a strong foundation of mutual trust. This trust played a pivotal role in our decision to embrace the 3DEXPERIENCE platform, knowing we have reliable partners who understand and support our vision.”



Shaping the Future of Robotics



As we wrapped up our chat, I asked Andreas about the future of robotics. &#8220;With the Yu 5 Industrial, we’re setting new standards,&#8221; he said confidently. &#8220;Our advanced solutions show how technology can expand the frontiers of robotics. By combining robotics and embodied AI, we’re opening up new possibilities for the industry. Europe is on the cusp of a new era of automation and robotics,&#8221; Andreas concluded.



Companies like Agile Robots play a decisive role in shaping this transformation. “We’re not just meeting market demands; we’re actively shaping the future of robotics. And really I look forward to combining different technologies to create the next-level robotic solution for our customers.&#8221;



Hearing Andreas speak about Agile Robots&#8217; vision and their latest innovations left me feeling inspired. It’s clear that Agile Robots is not only pushing the boundaries of what robots can do but also paving the way for a future where robots and humans work together seamlessly.
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      <![CDATA[ MBSE and the future of farming ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/industries/industrial-equipment/mbse-and-the-future-of-farming/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/266630</guid>
      <pubDate>Tue, 09 Jul 2024 11:13:31 GMT</pubDate>
      <description>
      <![CDATA[ The next era of farming will be more proficient, productive and sustainable, driven by sophisticated agricultural machinery and equipment operating as part of a wider, connected ecosystem. Underpinning it all: model-based systems engineering. 
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      <![CDATA[ 
The next farming era will be more proficient, productive and sustainable, driven by sophisticated agricultural machinery and equipment operating as part of a wider, connected ecosystem. Underpinning it all: model-based systems engineering.



By 2050, the agricultural industry will need to feed almost 10 billion people. To keep up with demand, the United Nations estimates that food production from plants and animals must grow by 70% (compared to 2009). It’s a huge ask, especially when you consider that food production is already responsible for almost a third of carbon emissions and 90% of the world’s deforestation. Producing enough food to go around without exacerbating climate change is simply not possible if we continue farming animals and plants in the way that we do today. It’s why key industry stakeholders are calling for a new, more sustainable approach – one that moves away from intensive, industrial agriculture towards smarter, connected and data-driven farming equipment and supply chains that work with each other and the land. And they’re adopting innovative ways of bringing this vision to life, such as model-based systems engineering (MBSE).



Heavy mobile equipment and machinery manufacturers have a critical role to play in all of this. Long renowned for their mechanical innovation, they’re fast evolving into advanced digital service providers. The tractors and agricultural machinery they manufacture now harness AI and autonomous capabilities, advanced analytics and the industrial Internet of things (IoT) to deliver remote monitoring capabilities, self-driving controls, telematics and more.



Developing these smart, software-defined vehicles comes with a whole new set of challenges, not least the complexity of integrating multiple systems and architectures, including mechanics, electronics, robotics software and sensors. This shift fundamentally changes how companies develop their products, the types of business models they offer and how they deliver value to their customers.



MBSE, also known as a system of systems engineering, based on the principles of systems thinking, serves as the foundation for this transformation. It’s essentially a framework where every interconnection is defined from the start and ensures each system integrates seamlessly throughout the product development lifecycle and beyond. MBSE serves as the backbone for the virtual twin, delivering a standardized way for equipment manufacturers to represent and simulate products and related operations.



Applying MBSE in agricultural machinery and equipment



Within the agricultural industry, standardized MBSE frameworks such as the Unified Architecture Framework (UAF) have emerged as a way for managing dairy and livestock production systems engineering. UAF makes it possible to map out and visualize the complex relationships and interactions between different system layers, capabilities and resources (such as machinery, workforces, animals and land) while balancing economic and ecological factors.



One leading agricultural machinery and equipment manufacturers successfully uses MBSE and UAF to virtually model its tractors, harvester and agricultural machinery and all associated system layers and manage them within a virtual twin. This includes:




The subsystem layer: Power generation, operator protection and traction and motion control



The product layer: Tractor, seeder, loader, harvester



The operation layer: Livestock, arable, dairy, transport.




The virtual twin allows the manufacturer to master subsystem integration and gain full visibility of the product development lifecycle. From this foundation, it’s now beginning to extend its system models to incorporate all aspects of a dairy and livestock farm and define production system needs within a connected ecosystem. The aim is to model and capture all the interactions between forage production and agricultural production machinery and gain a complete view of these operations to achieve agricultural process optimization and customer-focused innovation.



Farmer-centric and sustainable innovation



Farming systems must continue to evolve in the face of unprecedented challenges including:




Increasing food demand



Climate change



Shrinking arable land



International and national regulations



Volatile commodity prices



Labor shortages.




Agricultural machinery and equipment manufacturers recognize that if they want to remain successful, they must help their customers, i.e. farmers, overcome these challenges.



As equipment manufacturers shift from delivering products to services and experiences, they can add value by giving farmers the tools and insights they need to better understand the wider ecosystem and achieve higher yields. Today, this involves real-time monitoring and management of equipment, allowing for remote diagnostics, predictive maintenance and enhanced fleet management. Tomorrow, it will become more about tracking production subsystems all the way through to the point where goods reach the consumer, from preparing and planting to harvesting, storing, recycling and distribution. By capturing all farm production processes, requirements, interactions and knowhow into these models, they can match value chains to different geographies (a farmer’s machinery needs in India will be different to that of a farmer in the US, for example) and map their own and their customers’ goals to what’s happening on the ground.



MBSE has a critical role to play in helping the agricultural industry be more sustainable as well. Within these same production system models, manufacturers can simulate operational scenarios and track metrics such as:




Carbon emissions



Water management



Energy requirements



Logistics



Waste and recycling



Fleet availability and resource sharing



Industry regulation requirements.








The path to smarter farming with MBSE



Every industry and business can be divided into layers all the way down to the product level. For agricultural machinery and equipment manufacturers, MBSE offers a valuable opportunity to represent future products and portfolios and capture their customers’ needs to drive innovation and reimagine the next era of proficient, productive and sustainable farming.



For those at the beginning of their MBSE journey, start small, think big and evolve. Remember, MBSE is not a product but a way of thinking throughout the entire product lifecycle. Over time, as businesses practice MBSE and embrace it on a more strategic level, putting all interconnections in dynamic relation, they’re able to improve interdisciplinary collaboration, tackle ever-growing product and service complexity, reduce risk during the design and development phases, and transform customer needs into meaningful solutions.



There’s no time like the present to prepare your business for the future of smart, connected farming. Discover more about the power of MBSE and how it’s shaping the next generation of agricultural machinery and equipment here.
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      <![CDATA[ Precision machining for a Mars rover ]]>
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      <link>https://blog--3ds--com.apsulis.fr/industries/industrial-equipment/precision-machining-for-a-mars-rover/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/266342</guid>
      <pubDate>Wed, 03 Jul 2024 05:00:00 GMT</pubDate>
      <description>
      <![CDATA[ Machining composite parts such as the chassis for the Mars rover demands precise planning. That’s why CARBOMILL uses programming and simulation features in the 3DEXPERIENCE platform on the cloud to test and optimize every step.
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      <![CDATA[ 
When you’ve been tasked with precisely drilling and milling hundreds of holes in a carbon fiber chassis worth over a million euros, you don’t want to risk making a single mistake.



Destined for space, the chassis will be an integral part of the European Space Agency’s Rosalind Franklin rover, which will search for past and present signs of life on Mars. One hole milled even a fraction of a millimeter out of place on this key component could have jeopardized the entire operation. Thanks to CARBOMILL’s decision to simulate every process virtually first, that didn’t happen.



Based in Switzerland, CARBOMILL is a specialist in the machining of composites and is accustomed to complex, highly precise jobs like this. When the team there received the carbon bonded chassis structure along with the CAD model, it virtually tested the more than 2,000 different operations it needed to do on it, defined the optimal set up and simulated all the numeric code (NC) before running it on the machine. The entire task was managed on the 3DEXPERIENCE platform on the cloud.



“We had to define the dimensions and make sure the milling and drilling job was going to be completely error free,” said Markus Speckert, IT business analyst at CARBOMILL. “All of this was achieved using the 3DEXPERIENCE platform on the cloud. From the CAD model, we programmed and simulated the entire NC for the machine so we could virtually see and understand exactly what it needed to do.”



Businesses across the aviation, aerospace, medical and industrial sectors seek out CARBOMILL’s expertise in high precision machining. No part or geometry is too complex for the team to tackle. And since moving to the 3DEXPERIENCE platform on the cloud, everyone appreciates having all data, tools and machines connected in the platform’s standardized environment. This means that everyone is working with the right information and there’s no risk of duplication.



The solution is also helping to accelerate the quoting process. Because the team can check each customer brief in detail and virtually validate the machining process, it’s able to generate estimates with high accuracy from the onset, rather than encountering costly setbacks when unexpected issues arise.



“We can help our customers make a better choice,” said Roland Hoffmann, key account manager and quality manager at CARBOMILL. “There’s also no longer a risk of production using the wrong version of a design.”



Discover the full story and explore how CARBOMILL is continually enhancing quality with all product data and processes now managed in the 3DEXPERIENCE platform on the cloud.
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