<?xml version="1.0" encoding="utf-8"?>
  <rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom">
    <channel>
      <title>Virtual Experience</title>
      <link>https://blog--3ds--com.apsulis.fr/topics/virtual-experience/feed.xml</link>
      <description>Virtual Experience</description>
      <lastBuildDate>Thu, 05 Mar 2026 16:10:06 GMT</lastBuildDate>
      <docs>https://validator.w3.org/feed/docs/rss2.html</docs>
      <generator>3DExperience Works</generator>
      <atom:link href="https://blog--3ds--com.apsulis.fr/topics/virtual-experience/feed.xml" rel="self" type="application/rss+xml"/>

      <item>
      <title>
      <![CDATA[ 6 Virtual twin experiences you have to see  ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/topics/company-news/6-virtual-twin-experiences-you-have-to-see/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/275125</guid>
      <pubDate>Thu, 12 Dec 2024 18:01:35 GMT</pubDate>
      <description>
      <![CDATA[ Discover how Dassault Systèmes revolutionized industries this year with virtual twin experiences, from digital media campaigns to clinical trials and personalized footwear.
 ]]>
      </description>
      <content:encoded>
      <![CDATA[ 
At Dassault Systèmes, we are thrilled to reflect on the impactful role of our virtual twin experiences in 2024. By creating smarter products that enhance daily living, transforming cities towards a greener future, and shifting medicine towards prevention, our science-based virtual twin experiences have spurred innovation across diverse sectors.



While digital twins provide 3D representations of physical objects, virtual twin experiences go further, enabling the visualization, modeling, and simulation of entire environments for complex scenarios. The process begins by designing a 3D model that accurately represents a physical product or system&#8217;s shape, dimensions and properties. Within this virtual realm, simulations are conducted to predict how the product will perform when assembled, operated or exposed to different conditions, unlocking limitless testing possibilities.&nbsp;



From immersive experiences and personalized products to strategic partnerships and virtual simulations, the following highlights demonstrate how companies have used virtual world to impact real life throughout the year. Whether using augmented reality to envision sustainable urban environments or the cutting-edge personalization of footwear, each story shows a commitment to innovation, efficiency and sustainability.




 Virtual Twin Experience helps Paris hospital protect patients and educate caregivers&nbsp;








Back in February, we announced a partnership with the Saint-Louis Hospital AP-HP in Paris to develop an airflow simulation and augmented reality experience. This collaboration aims to enhance the understanding of respiratory virus transmission and improve patient care using the 3DEXPERIENCE platform to create a virtual twin experience.



By creating a virtual twin of the hospital&#8217;s dialysis unit, healthcare professionals could visualize how virus particles circulate in the air, gaining insights into the effectiveness of ventilation and masks in optimizing care for immunocompromised patients.



To build this virtual twin, we used building blueprints combined with a 3D scan of the room conducted on-site using our HomeByMe mobile app to ensure accuracy. We then used our SIMULIA applications, powered by the 3DEXPERIENCE platform, to visualize, simulate and predict the transmission of respiratory and viral particles.&nbsp;



&#8220;Virtual twins are set to revolutionize daily patient care and infection prevention in the years ahead,&#8221; said Claire Biot, vice president of the Life Sciences and Healthcare Industry here at Dassault Systèmes.




Read the press release here





&nbsp;Piccadilly Circus takeover&nbsp;




For a week this spring, we launched an innovative digital out-of-home media campaign at London’s Piccadilly Lights, reaching 3 million people, and touching on every aspect of our daily lives. The campaign invited audiences to explore the impact of virtual worlds on real-life areas such as healthcare, urban development and manufacturing.



At the heart of the campaign was a striking display at Piccadilly Circus, featuring a massive 780-square-meter screen. This screen showcased groundbreaking innovations in virtual twin technology, demonstrating how imagination and innovation can lead to a more sustainable world. Every 10 minutes, an exclusive 40-second immersive video captivated viewers with 3D effects. The experience took audiences on a journey from the world&#8217;s first fully functional model of a human heart to scenes of humans and robots collaborating to create products from upcycled materials, futuristic aircraft navigating cities and pods designed to grow plants in any environment—even on the moon.







Additionally, the public was encouraged to deepen their experience via an augmented reality app on their smartphones. This app allowed users to envision a more sustainable future for Piccadilly Circus, share their experiences on social media, and learn more about the potential of virtual worlds.




Read the blog post here





Extending partnership with JLR&nbsp;








Also this spring, we announced a five-year extension of our long-term strategic partnership with Jaguar Land Rover (JLR), marking a new era of digital transformation for the automaker. JLR is the UK’s largest automotive manufacturer, designing, manufacturing, and selling some of the world’s best-known premium cars. This collaboration aims to enhance efficiency, foster innovation, and promote sustainability across the enterprise.



JLR has adopted the 3DEXPERIENCE platform globally to support the complete development process of its luxury vehicles. More than 180,000 users, including JLR business areas and suppliers, will leverage virtual twins to boost efficiency, streamline product management, save time, and reduce waste costs. This partnership underscores JLR’s dedication to responsible business practices in an industry that demands exceptional quality and personalization.



“JLR is utilizing the 3DEXPERIENCE platform to enhance its virtual twin capabilities, developing software-defined vehicles that blend hardware and software seamlessly. This systems engineering approach connects various disciplines, advancing vehicle development and ensuring the excellence expected by luxury brands,” said Laurence Montanari, vice president of the Transportation &amp; Mobility Industry here at Dassault Systèmes.




Read the press release here





ASICS personalization test studio at HQ&nbsp;&nbsp;&nbsp;




Over the summer, ASICS launched the “ASICS Personalization Studio” at our global headquarters outside Paris. This innovative studio showcases large-scale personalization of premium footwear while employing a science-based approach to enhance physical recovery and performance.&nbsp;



The studio&#8217;s modular setup integrates the 3DEXPERIENCE platform and virtual twin technology with ASICS’ sports expertise, enabling on-site, on-demand manufacturing of shoe components tailored to individual specifications.&nbsp;



The ASICS Personalization Studio is currently testing a new service that provides on-demand sockliners customized based on foot shape data simulated using the 3DEXPERIENCE platform. Cutting-edge 3D printing technology is employed to create the sockliners, allowing adjustable softness levels to support recovery and improve performance.







“We share ASICS’ commitment to innovations that improve health and well-being. Our partnership reflects this by demonstrating a holistic approach to manufacturing that prioritizes the consumer experience,” said Pascal Daloz, CEO of Dassault Systèmes. “It also shows how the virtual world is catalyzing the 21st-century economy. Through their foundation in science, our virtual twins enable the industry to not only improve the performance and experience of products, but also to advance more sustainable business models.”



In 2025, the ASICS Personalization Studio will be transferred to Japan for further testing. The company plans to explore applying this technology to additional footwear products in the future.




Read the press release here





Virtual Twins in clinical trials&nbsp;&nbsp;&nbsp;




This fall, following a five-year collaboration with the U.S. Food and Drug Administration (FDA), we unveiled a groundbreaking guide for the medical device industry. This 44-page, peer-reviewed, open-access publication is the first of its kind and details how to employ virtual twins to streamline clinical trials.&nbsp;



The guide serves as a comprehensive resource for establishing credibility in a medical device in silico clinical trials, addressing the demand for faster and safer medical device evaluation. This collaboration resulted in an innovative approach, utilizing virtual twins to simulate specific aspects of patient populations with unparalleled accuracy. This method refines, reduces, and replaces the need for human and animal testing in clinical trials.&nbsp;



“As the healthcare industry continues to embrace digital transformation, the ENRICHMENT Playbook represents a pivotal moment in the evolution of clinical trial methodologies,” said Biot, our vice president of Life Sciences and Healthcare Industry.




Read the press release here





Catch us at Charles de Gaulle and St. Pancras International campaign








More recently, our “Virtual Worlds for Real Life” awareness campaign greeted travelers at major European hubs. This campaign invites travelers to explore virtual worlds through thought-provoking visuals in three of Europe’s busiest transportation hubs: Charles de Gaulle and Orly airports near Paris and St. Pancras International train station in London.&nbsp;



At Charles de Gaulle Terminal 2 in Paris, three dynamic screens and digital pillars, as well as a traditional billboard, feature the images at check-in, arrivals, and immigration areas, and in main corridors. Furthermore, more than 100 digital screens animate the lounges at both Charles de Gaulle and Orly. At St. Pancras International, the campaign involved 25 dynamic screens on walls, pillars and bus stops.&nbsp;



Premium digital and out-of-home visuals offer a glimpse of unprecedented ways to innovate in healthcare, infrastructure and manufacturing, which are only possible by virtual twins. These were showcased across more than 125 installations strategically placed in high-traffic areas of the airports.




Read the press release here




In 2024, Dassault Systèmes pushed the boundaries of innovation across various industries, from healthcare to automotive and beyond, using virtual twin technology and the 3DEXPERIENCE platform. Whether transforming public engagement with digital campaigns, advancing sustainable automotive manufacturing, personalizing athletic footwear or revolutionizing clinical trials, these partnerships are driving significant advancements. These initiatives not only enhance efficiency and sustainability but also showcase the potential of digital transformation in creating a more integrated and sustainable future.&nbsp;



As seen in its collaborations with JLR, ASICS and the FDA, Dassault Systèmes is driving the future of technology, demonstrating the powerful impact of virtual worlds in real-life applications. We can’t wait to see what’s in store for 2025!




 ]]>
      </content:encoded>
      </item>
<item>
      <title>
      <![CDATA[ AI augments Engineers for Sustainable Innovation ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/brands/catia/ai-augments-engineers-for-sustainable-innovation/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/274344</guid>
      <pubDate>Thu, 28 Nov 2024 14:59:56 GMT</pubDate>
      <description>
      <![CDATA[ For over 40 years, Dassault Systèmes, through its leading brand CATIA, has been at the forefront of industrial transformation and continues to be so today by using artificial intelligence (AI) to drive sustainable innovation.
 ]]>
      </description>
      <content:encoded>
      <![CDATA[ 
How do we navigate AI for Industrial Transformation?



From design to industrialization, 80% of vehicles and aircraft today have developed their complete digital twin and now their virtual twin with Dassault Systèmes, especially with CATIA. Those solutions help the company extend its reach to other critical sectors, such as smart cities, energy infrastructures, and even the human heart.



AI serves not just as a tool for automation but as an enhancer of human capability, allowing engineers, designers, and architects to explore more innovative and sustainable solutions within development cycles. The core of AI lies in data, transforming it into valuable knowledge and expertise. This resembles a modern renaissance, where accumulated industrial know-how is made accessible across the entire product creation and industrialization value chain.




We are not automating to replace engineers, but augmenting their abilities to explore more innovative and sustainable solutions.Olivier SAPPIN, CATIA CEO








Virtual Twins: Bridging the Virtual and Real Worlds



Virtual twins are pivotal in integrating AI with industrial data, offering a comprehensive digital representation of physical assets. By creating virtual twins of products such as vehicle batteries, Dassault Systèmes with the 3DEXPERIENCE platform enables detailed simulation and testing in a virtual environment, reducing the need for costly and time-consuming physical prototypes.



Detailed Simulation with Virtual Twins




&nbsp;Simulation and Testing: Virtual twins allow the simulation of product characteristics such as battery autonomy, heat resistance, and steering angle, predicting performance under various conditions.



&nbsp;Design Optimization: Engineers and designers can refine product designs virtually, enhancing efficiency and sustainability at the early concept before physical production begins.








This approach not only saves time and resources but also enhances competitive advantage by enabling rapid prototyping and testing.



AI-Driven Enhancements in Virtual Twin Solutions



AI is crucial for advancing virtual twin solutions. It provides predictive insights that accelerate design and decision-making processes. AI can foresee potential issues and optimize performance by capturing and analyzing data from both virtual models and real-world usage.



Predictive Capabilities




&nbsp;Rapid Prototyping: AI algorithms enable quick generation and testing of multiple design alternatives within CATIA



&nbsp;Risk Management: Predictive analytics help in identifying and mitigating risks in complex projects, ensuring timely and cost-effective delivery.













&#8220;AI allows us to explore solutions rapidly, providing insights that would traditionally take months to discover.&#8221;








One Single Source of Truth



For more than 13 years, Dassault Systèmes has introduced the 3DEXPERIENCE platform to capitalize on the potential of virtual twins. This data-driven platform elevates information to knowledge and expertise, making it accessible and reusable across various domains.



Some key features:




&nbsp;Data Structuring: Ontologies are used to intelligently structure data, enhancing its usability.



&nbsp;Integration of Real and Virtual Data: By combining real-world usage data with virtual models, the platform delivers comprehensive insights for decision-making.












Protecting Industrial Data in the Age of AI



Data protection is paramount as industries leverage AI for innovation. Data anonymization ensures that proprietary industrial knowledge remains secure while benefiting from AI advancements.



Data Security Strategies




&nbsp;Anonymization Techniques: Used in sectors like healthcare, these techniques protect sensitive data while enabling advanced simulations.



&nbsp;Proprietary Data Utilization: AI is trained on industrial data for the exclusive benefit of its originators, ensuring competitive advantage.




Ready to embrace the Generative Economy



Dassault Systèmes prepares industries for a generative economy, where the focus shifts from products to experiences, with a new factor in the balance: circularity. By leveraging AI and virtual twin technology, engineers and designers can innovate sustainably, reducing development cycles and enhancing operational excellence.




AI gives engineers superpowers to accelerate product development, reduce life cycles, and optimize production.Olivier SAPPIN, CATIA CEO








As industries face increasing demands for competitiveness and sustainability, adopting these advanced technologies becomes imperative. Watch our latest webinar to learn how you, as an industrial company, can harness generative AI for your business needs.



And explore how CATIA transform your design and decision-making processes by integrating AI and virtual twins into your operations.
 ]]>
      </content:encoded>
      </item>
<item>
      <title>
      <![CDATA[ Fueling the Future of Energy ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/brands/netvibes/fueling-the-future-of-energy/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/274041</guid>
      <pubDate>Thu, 28 Nov 2024 08:47:03 GMT</pubDate>
      <description>
      <![CDATA[ Discover how a leading company in the energy sector is powering a carbon-neutral future through electricity with NETVIBES data science solutions on the 3DEXPERIENCE© platform.
 ]]>
      </description>
      <content:encoded>
      <![CDATA[ 
CHALLENGE



A multinational leader in the energy sector found that data silos were making it difficult to manage costs, make accurate, timely decisions and avoid project delays. The company needed a 360-degree view of its assets, along with analytics and monitoring dashboards to help strengthen plant performance. In addition, it wanted a single source of truth that would help it optimize its engineering projects and boost overall competitiveness.



SOLUTION



The company chose NETVIBES data science solutions on the 3DEXPERIENCE platform to help it manage its capital projects with precision. Asset Information Intelligence solutions provide it with a single source of truth, powerful data analysis and real-time insights, along with enhanced collaboration capabilities.



BENEFITS



Users are able to make better decisions, backed by the insights that come from connected data analytics. Real-time visibility on program data, coupled with a dashboard view that contextualizes knowledge, documents and resources, has enabled the company to drive more efficient project management, accelerate project delivery and reduce construction and operating costs.







Paving the Way for Sustainable Power



A carbon-neutral energy future through electricity – that is the mission of one multinational leader in the energy sector. To help achieve it, the company is building and operating several energy plants.



In capital projects like these, even the smallest problem can cause long delays and cost overruns – all of which deter customers and governments, whose backing is crucial. However, it was difficult for the organization to avoid these issues because project data was spread across many different systems and directories. This caused a lack of visibility over millions of complex data items for equipment to be manufactured, installed and tested. It made it difficult for engineers to identify issues and next steps, or to see the impact their decisions would have in other areas like purchasing, subcontracted studies or on site. As a result, previous projects had encountered delays and extra costs.



Breaking down those data silos was essential to optimize the company’s control of engineering process. As well as bringing its data together, it wanted to be able to analyze it and visualize it in a way that would help project managers:




understand how to deliver each project on time, on budget and on specification,



draw on past experience to continuously improve planning and minimize errors,



identify potential risks ahead of time and take effective measures to reduce them.




The company had previously implemented NETVIBES data science solutions to provide change management dashboards and 360-degree views of assets. Next, it chose NETVIBES Asset Information Intelligence solutions on the 3DEXPERIENCE platform, to create a virtual twin of its program management that would incorporate key performance indicators (KPIs) and support precise dashboards to show project progress.



A Single Source of Truth



At the heart of the solution, NETVIBES integrates data from the company’s main IT systems and delivers a complete, dashboard view of assets and construction progress. It orchestrates all the information around an object, asset or process – including 3D and 1D drawings, metadata and documents – and makes it available in the context the user needs.



NETVIBES collaborated closely with the organization to develop a proof-of-value application that combined on-premise data in the 3DEXPERIENCE platform with data science capabilities in the cloud. This allowed the company to see how the solution would work, and how it could meet both their current and future project visibility needs.



In particular, the solution stood out from competing offers because it allows the company to connect natively to all its data and gain real-time insights from it. Collaboration would be easier, since the 3DEXPERIENCE platform was designed to help disparate teams work together.



Mastering Requirements Management



Making the data intuitive has made all the difference, and that is where the solution’s semantic graph index (SGI) cloud comes in. It makes it possible to manage and cross-examine data from different sources and present the information in a way that makes sense to individual users and their job role. Having instant access to the right knowledge, processes and documentation has helped the company to enhance its capital project management in several ways.



One priority in the client roadmap is to be able to project KPIs onto the virtual twin, in effect building them into the project from the start. Users will be able to analyze the maturity of requirements and explore how they relate to objects in the system, in alignment with business rules. This would enable the organization to improve its management of requirements monitoring, carry out basic and detailed design reviews and validate the different construction phases of its energy power plant projects.



Historical analysis of requirements could also help users to respond more efficiently to any volatility in requirements. By factoring in the way requirements have evolved during past projects, the solution allows them to draw on the organization’s experience and anticipate future developments.



Intelligent Equipment Assignment



Assigning equipment is one area of project management that should be simple. In reality, it often involves project managers wading through details to identify the appropriate equipment and request it for their project – only to find that the piece they wanted is already in use elsewhere.



NETVIBES simplifies this process by bringing together all the data surrounding the equipment – its 3D representation in the 3DEXPERIENCE platform and the metadata that resides elsewhere. Each piece is cross-analyzed by family, metadata and zoning so that it’s easy to identify the most suitable components and apply them to the project.



With this information provided in a single, dashboard view, the project manager can filter out any equipment that is already assigned before they start their search. Then they can explore the available pieces to find the ones that are suitable for their current project. Once that’s done, they simply select the equipment they need and assign it by dragging and dropping it into the relevant task on the dashboard.



Optimizing Project Control



Having a single source of truth has empowered the company to improve its control of capital projects. For example, threads such as construction, engineering and sourcing all happen on different timelines throughout a project, but they are all critical when it comes to meeting deadlines and budget commitments. NETVIBES puts all these threads into context so that managers can anticipate and control project delays.



Predicted delays for ongoing projects are explained using similar past cases and recurrent behaviors that have been identified. By visualizing recurrent behaviors through time, the solution also indicates whether they are still relevant or have already been addressed – a crucial distinction for project managers who are deciding on their next steps.



As a result, the organization can create project plans much faster and optimize them in terms of objectives such as time, risk and resources, while aligning with established best practices and standards. Risks are minimized because the solution uses previous capital projects to identify them early on, so project managers can generate a timely mitigation plan.



Powering a Carbon-neutral Future



By using NETVIBES to break down silos and integrate data on the 3DEXPERIENCE platform, the company has created a single source of truth that helps it to keep capital projects on track. The real-time insights and enhanced collaboration that the solution provides are driving more efficient management and tighter control, enabling faster delivery of projects and reduced construction and operating costs. As the organization looks ahead, these capabilities are helping it to build the foundation for more sustainable power provision.



“It is critical for managers to have access to all information generated by an energy power plant project, including pumps and all data for a given asset,” said Morgan Zimmermann, CEO of Dassault Systèmes NETVIBES. “As a single source of truth for all data in the platform, NETVIBES empowers the company to make better project decisions. In addition, other stakeholders can see project status at a glance, without having to dive deep into the platform.”




It is critical for managers to have access to all information generated by an energy power plant project. As a single source of truth for all data in the platform, NETVIBES empowers the company to make better project decisions.
Morgan Zimmermann, CEO of Dassault Systèmes NETVIBES



Learn More Here



Download the eBook&nbsp;to discover more NETVIBES data science solutions in action!




 ]]>
      </content:encoded>
      </item>
<item>
      <title>
      <![CDATA[ Bridging the Gap in Real Estate with Virtual Twin Solutions ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/brands/geovia/bridging-the-gap-in-real-estate-with-virtual-twin-solutions/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/273368</guid>
      <pubDate>Wed, 20 Nov 2024 11:14:57 GMT</pubDate>
      <description>
      <![CDATA[ GEOVIA Urban Planning solutions allow the creation of a comprehensive virtual twin within a single platform, seamlessly integrating both open-source and private BIM data. By reconciling 2D and 3D data, converting vector data into 3D, and georeferencing 3D designs, these solutions go far beyond basic visualizations. They offer advanced spatial analysis capabilities, enabling real estate developers and planners to assess site viability, evaluate environmental impacts, and simulate various scenarios effectively.
 ]]>
      </description>
      <content:encoded>
      <![CDATA[ 
Authored by @Fabrice SERVANT, GEOVIA Customer Success Director, Dassault Systèmes



The real estate industry is undergoing rapid transformation, driven by global urbanization, evolving lifestyles, and the critical need for sustainable practices. In response, real estate professionals are increasingly exploring digital solutions that improve efficiency foster&nbsp;collaboration, and optimize land use. At the forefront of these innovations is virtual twin technology, which allows developers and planners to visualize and simulate projects within their full spatial and environmental context. This is what Dassault Systèmes’ GEOVIA presents in its latest webinar on land prospecting.



Creation of a Virtual Twin



GEOVIA Urban Planning solutions allow the creation of a comprehensive virtual twin within a single platform, seamlessly integrating both open-source and private BIM data. By reconciling 2D and 3D data, converting vector data into 3D, and georeferencing 3D designs, these solutions go far beyond basic visualizations. They offer advanced spatial analysis capabilities, enabling real estate developers and planners to assess site viability, evaluate environmental impacts, and simulate various scenarios effectively.



Figure 1 &#8211; BIM model of the Dassault Systèmes WOOD building in the context of the Vélizy campus in France



Site Selection



For real estate developers, location is a primary driver of property value, making site selection a critical step before breaking ground. Depending on the type of project, factors like access to transportation, nearby schools, and cultural sites can greatly influence site selection. While much of this information is available through open data, meaningful analysis becomes more impactful when projected onto a virtual twin.



GEOVIA’s solutions go beyond traditional analysis, empowering land prospectors to create adaptive designs to meet specific requirements. By selecting a starting point on a map, prospectors can accurately analyze the surrounding area within the isochrones of their choice—like a 5-minute walk or a 10-minute bike ride- to gain precise insights.



Figure 2 &#8211; GEOVIA livability scoring analysis







This analysis can be enhanced to meet the project’s objectives by establishing a scoring system based on points of interest, such as schools, hospitals, and museums, and comparing these scores across multiple locations to identify the optimal sites. Beyond helping developers determine the ideal location, this solution also facilitates communication with non-technical stakeholders. By simulating real-world scenarios, professionals can refine their projects to reflect emerging trends, ensuring they stay relevant and appealing to prospective buyers.



Enhancing Collaboration and Decision-Making



GEOVIA’s solutions are integrated into Dassault Systèmes’&nbsp;3DEXPERIENCE platform – a secure, web-based, collaboration hub that allows stakeholders to aggregate, store, and share documents within the virtual twin environment with a single login. Serving as a single source of truth, this platform ensures that all stakeholders—from project managers to general contractors—have easy access to the most current information. This capability enhances traceability, facilitates the early identification of potential issues, and helps optimize workflows.



Figure 3 &#8211; 3DEXPERIENCE platform Idea Funnel







In addition to allowing users to monitor project progress by location, track real-time operations, and manage upcoming projects, the&nbsp;3DEXPERIENCE platform serves as a powerful collaboration tool. It enables stakeholders to interact and communicate within private or public communities directly on a 3D map. By clicking on a specific location of interest on the 3D map, stakeholders can create and access geolocated posts that provide the latest updates on new and upcoming developments. These posts can include text, images, documents, and links to the map, offering a detailed view of the site in a 3D context. This functionality preserves all relevant information throughout the project lifecycle and also empowers stakeholders to make faster, more informed decisions.



Looking Ahead



GEOVIA offers unparalleled insights through interactive market analysis. Visualize and analyze key real estate data in context, identifying opportunities that might otherwise remain hidden. This strategic advantage allows you to confidently make data-driven decisions, maximizing return on investment and optimizing resource allocation.



Discover how GEOVIA can turn your ideas into reality with a personalized demo. Explore how to analyze, collaborate, and manage your construction projects with&nbsp;GEOVIA Solutions&nbsp;and how virtual twins can redefine urban development. If you missed the &#8220;Maximize Your Real Estate Operations&#8221; webinar, watch the replay for practical tips and valuable insights. The webinar is in French, with English subtitles.







Community is a place for GEOVIA users – from beginners to experts and everyone in between – to get answers to your questions, learn from each other, and network.&nbsp;Join our community to know more:



GEOVIA User Community&nbsp;–&nbsp;Read about industry topics from GEOVIA experts, be the first to know about new product releases and product tips and tricks, and share information and questions with your peers. All&nbsp;industry professionals are welcome to learn, engage, discover and share knowledge to shape a sustainable future of mining. &nbsp;



New member?&nbsp;Create an account, it’s free!&nbsp;Learn more about this community&nbsp;HERE.
 ]]>
      </content:encoded>
      </item>
<item>
      <title>
      <![CDATA[ A New, More Strategic, Way to Mine ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/brands/geovia/a-new-more-strategic-way-to-mine/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/272787</guid>
      <pubDate>Thu, 14 Nov 2024 09:32:35 GMT</pubDate>
      <description>
      <![CDATA[ Mine planning concentrates on long-range production planning aimed at maximising the value derived from exploiting an ore deposit. However, by its very nature, because it is long-term, a mine plan can be affected by a variety of internal and external forces including, for example, increased knowledge of the orebody, unexpected staffing issues, technical advancements ,and changes in legislation, economy, and market.
 ]]>
      </description>
      <content:encoded>
      <![CDATA[ 
Mining, like many industries, can be slow to change. We often stick to traditional processes far longer than we should because we are comfortable with them and don’t want to take the risk of trying out new ones. But that means we may also miss significant opportunities both to improve profits and increase sustainability.



A common refrain from mine planners is that they do not have enough time to look at all the possible options for a solution space, which leaves them with sleepless nights worrying about such questions as: How much value was left in the last untested cut-off grade or mining capacity limit? Which direction and sequence would have created the best schedule? Have we followed the pit optimisation angles closely enough?



The fact is, however, that this situation can be solved — and these important questions can be answered — if we adopt a different approach to strategic mine planning.



Strategic mine planning



Mine planning concentrates on long-range production planning aimed at maximising the value derived from exploiting an ore deposit. However, by its very nature, because it is long-term, a mine plan can be affected by a variety of internal and external forces including, for example, increased knowledge of the orebody, unexpected staffing issues, technical advancements ,and changes in legislation, economy, and market.



Strategic mine planning attempts to de-risk a mine plan, to make it flexible enough to adapt to changes as and when they rise.



Traditional approach



The traditional approach to developing a mine plan is to assess a mine project based on the net present value (NPV). That means the NPV, which is calculated by applying a rate to progressively discount cash flows based both on how much profit the mine project must make and on its risks, becomes the primary KPI for the mine plan and drives decisions about where to start the extraction and how to orient the sequence.



For open pit mines, mine planners traditionally define reserves using the Lerchs-Grossmann (LG) algorithm, which identifies an economic envelope (pit shell), constrained to maximum slope angles, that will maximise the total undiscounted cash flow. With that final pit identified, the planner builds a sequence to reach the final pit often by creating nested pit shells using the same algorithm but constraining the volume of the output envelopes or adjusting the block model valuation using revenue factors (RFs). To select a subset of the nested pits to serve as pushback expansions toward the final pit, the mine planner then calculates the preliminary schedules.



Issue with this approach



The issue with this traditional approach is that most of the time, the nested shells available for the planner to select as pushbacks are not operationally feasible, and that may in turn require:




mining multiple satellite pits in earlier periods of the life of the mine



having a large starter pit, even for small revenue factor increments



following a concentric sequence, which requires multiple mining fronts, and/or



awkward pushback shapes and sizes, which may be difficult to implement.




Often, the planner will try to override these issues by building some feasible pushback designs loosely based on a set of nested pit shells and by splitting and merging different envelopes. However, this often seals the decision to use a pushback sequence based on the RF-limited pit shells instead of looking for other possible sequences towards the same final envelope. Plus, as a side effect, because the traditional approach is based on maximising undiscounted cash flow for simulated price-levels through different RFs, there is no guarantee that the sequence obtained will maximise NPV and could be out of alignment with other feasibility-focused KPIs.



A more flexible approach



Using process-automation tools with mine planning software allows mine planners to better appraise the optimisation solution space, delivering a workflow such as this:




1. Generate a ‘value map’ based on a modified pit optimisation algorithm that allows the planner to easily:





compare directional approaches while taking into account other vital components of a mine plan, such as spatial constraints, sinking rate and other feasibility KPIs as well as NPV.



identify the best starting region and corresponding directions, based on an assessment of preliminary strategic schedules for each combination, and




Figure 1. Optimised pit phases







2. Run thousands of possible scenarios based on mining rate and production capacity, their corresponding CAPEX and OPEX (making both the mine and the processing plant, and their corresponding costs, the right size), and cut-off grade, with each scenario producing its own mine plan and production schedule.



3. Optimise the schedule to maximise NPV by identifying what material to mine from each pushback and when, since the “what and when” will affect the mine’s order of revenues and costs (aka cashflow).



For example, the traditional approach has been to optimise the material send to the processing plant based purely on the mining and processing capacity. This can lead to low grade material taking up vital plant capacity in the early periods and reducing NPV among other KPIs.



A better approach would be to stockpile lower grade ore in the early years of production in order to prioritise higher-grade processing early on, and then use the remainder of the viable ore later, increasing NPV over the life of the mine. Even better still would be to not only optimise the processing capacity, cut-off grades, and stockpile usage, but to do this at the same time as choosing the sequence and the pit shells. This would free the optimisation to look at a wider solution space and not lock it in to decisions that were made in the previous step.



Figure 2. Strategic mine planning vision.







Strategic mine design



It is important to remember that optimisation and scheduling is only one side of the coin that is mine planning and that it takes a design to make a schedule actionable. In a process where we are creating large numbers of scenarios for optimisations and schedules, it is critical to establish a living design model with an&nbsp;intelligent workflow&nbsp;that updates as objects and inputs change.



Traditional CAD-based mine design works well but because it requires a designer to modify the entire shape of a design in response to a change, it is often slow, manual work that is prone to mistakes. This slowness can mean that a designer is able to produce just one or maybe two design options by deadline, with no time left for engineers to evaluate the integrity of the design.



Adding an automated parametric capability to the traditional design process not only ensures faster execution, it does so with improved accuracy and flexibility over traditional mine design.



Parametric design fundamentals



Parametric design&nbsp;does not produce a solution as much as generate a family of possible outcomes through dynamic automation.



Parametric modeling can use either a:




propagation-based system, where algorithms produce final shapes that are not predetermined by initial parametric inputs, or a



constraint system, where final constraints are set and algorithms define fundamentals (structures, material use, etc.) that satisfy these constraints.




Propagation-based systems often include ‘form-finding’ processes that optimise specific design goals against a set of design constraints, so that the final form of the designed object is ‘found’ based on these constraints.



Both types of parametric modeling have been used for years in other industries, such as civil construction, aviation, and manufacturing, as a replacement for traditional 3D CAD-based design.



Creating a living model



The parametric&nbsp;model-based approach&nbsp;incorporates traditional CAD functions but differs by adding links between objects and parameters.



This associativity preserves the connection between reference data — such as terrains and geology or resource models — and existing infrastructure models. This in turn allows the mine designer to update designs automatically every time there is new input data because, while the input data may have changed, the parameters of the design may not. The designer can also create templates by searching a series of functions&nbsp;and parameters, to speed up the time needed to design repetitive tasks, and deploy them manually or automatically through scripting.



The result is a “living” model where design changes made in a localised area will update the global mine design, and designs are ready for review days or even weeks faster than traditional practice allows.



Running limitless simulations



Mining projects are complicated, expensive, and extremely risky ventures. Being able to simulate everything from the&nbsp;mine design&nbsp;to the material movement in advance is critical to de-risking a project.



By&nbsp;automating the manual and iterative work done by the mine designer, parametric simulation enables the designer to compare the original design configuration with a larger spectrum of data. It works like this: regression models&nbsp;are first trained on simulation data and then progressively calibrated on measured data during a set monitoring period in order to (1) evaluate the&nbsp;robustness of design-phase performance and detect potentially critical assumptions, and (2) maintain a continuity with operation-phase performance with feed-back from measured data.



Applying simulations in real life



Parametric simulations can be used to design mining phases that consider unexpected variations and uncertainties, such as&nbsp;the metal content available in a mineral deposit and shifting commodity prices.



In the illustration below, we used a Design of Experiments (DoE) to perform a wide range of input modifications to a pit optimisation run. This allowed us to calculate tens of thousands of &nbsp;scenarios and explore the entire solution space, with the output being a dynamic set of pit shells linked to and associated with a set of pit design parameters. This associativity, coupled with parametric design, created the design shown below.



Figure 3. Optimised pit and haul road design.







The design now maintains a constant link with the optimisation results. As alternative scenarios are selected, new designs are automatically created and stored with their own revision and life cycle. We can also choose to link and associate them with other restriction criteria not made available to optimisation, such as pit crusher locations that require their own areas for infrastructure, flat areas in the ramp for regulatory purposes, or sump locations for pumping requirements. And we can assign a template to each of these criteria that is associated with the design and will be used to automatically update it.



Finally, each design can be used again within the life-of-mine scheduling, closing the planning loop and confirming the assumptions taken previously in the optimisation step.



Figure 4. Whittle and Process Composer Design of Experiments.







Conclusion



Strategic mine planning and parametric design are critical innovations at a time when mining companies are looking to reduce time to market and address marginal economic deposits, social, and ESG challenges.



If we can reduce our reliance on traditional mine planning tools and embrace new and innovative technologies, we will find the opportunities we need to move forward into a secure and responsible future.







Community is a place for GEOVIA users – from beginners to experts and everyone in between – to get answers to your questions, learn from each other, and network.&nbsp;Join our community to know more:



GEOVIA User Community&nbsp;–&nbsp;Read about industry topics from GEOVIA experts, be the first to know about new product releases and product tips and tricks, and share information and questions with your peers. All&nbsp;industry professionals are welcome to learn, engage, discover and share knowledge to shape a sustainable future of mining. &nbsp;



New member?&nbsp;Create an account, it’s free!&nbsp;Learn more about this community&nbsp;HERE.
 ]]>
      </content:encoded>
      </item>
<item>
      <title>
      <![CDATA[ Accelerating Innovation and Sustainability in Packaging Design ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/brands/netvibes/accelerating-innovation-and-sustainability-in-packaging-design/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/272306</guid>
      <pubDate>Tue, 12 Nov 2024 15:03:25 GMT</pubDate>
      <description>
      <![CDATA[ Discover how a leading company in the food and beverage industry optimizes packaging development with NETVIBES data science solutions on the 3DEXPERIENCE© platform.
 ]]>
      </description>
      <content:encoded>
      <![CDATA[ 
CHALLENGE



Companies in the food and beverage industry must strike a delicate balance. They need to provide sustainable packaging, ensure regulatory compliance and meet ever-changing consumer demands – while making sure they can deliver projects on time and on budget. To achieve that, it is critical to ensure real-time insights into the data and contextual knowledge required to make decisions during the packaging development process.



SOLUTION



To enable those insights, a leading global company needed to unify structured and unstructured data that existed across separate systems. This would create a single set of actionable data perspectives that were tightly integrated into its development platform. It chose NETVIBES data science solutions on the Dassault Systèmes 3DEXPERIENCE platform to bring that vision to life.



BENEFITS



Innovation is accelerated as packaging developers can search for projects with similar attributes and reuse successful elements, including pallet design and certification. Guidance on next steps, with associated data and documents to hand, helps to optimize project efficiency. This has improved “first time right” packaging decisions and reduced the need for costly re-engineering efforts, delivering a potential 30% increase in packaging development efficiency.







Pioneering Packaging



In the fast-moving, highly competitive food and beverage industry, market leadership is as much about bottles, cans and boxes as the products inside them. Designs are refreshed increasingly often as companies strive to delight consumers – and as well as looking good, they must also be fit for purpose.



For one global leader in this industry, innovative bottle design goes hand in hand with exceptional quality and sustainability. As well as being visually appealing and pleasant to hold, each bottle must also be sustainable, made from recycled and recyclable materials. The lighter the bottle is, the more it will help to reduce carbon emissions, but it also needs to be strong enough to withstand shocks. The way the bottles will fit onto a pallet for transportation is also a critical factor. A competitive edge comes from combining all these elements in a way that is cost-effective and can be produced fast enough to beat competitors to market.



The company knew that it had volumes of data from previous package designs that could provide a rich source of information for new ones. If packaging designers could reuse that information, they would be able to innovate faster, replicate past successes and make sure failures weren’t repeated – while reducing the amount of physical testing needed to get the design to market. However, these valuable resources were scattered across different systems and network drives. Developers would struggle to find the knowledge they needed – if they knew it was there at all.



Digitalizing its development processes held the key for the company to overcome these obstacles. It wanted to bring all its data together in one place and make it easy for packaging engineers to search, access and understand.



“To become even faster, stronger and better, we are constantly looking for ways to improve how we design packaging, and digitization will be a key element of how we achieve this,” said a beverage packaging lead at the food and beverage provider. “My vision is an integrated packaging development system – a digital workflow which automatically guides all packaging developers through the right steps in the process, provides them with the right digital tools and simulations to be able to quickly assess and evaluate packaging, and enables them to mine the huge data history we’ve accumulated over the years.”



The company chose NETVIBES data science solutions, on the 3DEXPERIENCE platform from Dassault Systèmes, to make that vision a reality.




My vision is [&#8230;] a digital workflow which automatically guides all packaging developers through the right steps in the process, provides them with the right digital tools and simulations to be able to quickly assess and evaluate packaging, and enables them to mine the huge data history we’ve accumulated over the years.
Beverage Packaging Lead 







Shifting from Physical to Digital



Packaging design involves a lot of prototyping and testing. Carrying out this work with physical objects takes a lot of time and materials, as well as generating significant waste. By shifting the emphasis away from physical processes towards digital ones, the organization would be able to accelerate innovation and improve its sustainability performance.



To digitalize its packaging development, the company needed to harmonize data across the value chain. This would allow different teams to work on the same virtual model, using past and present design data to develop, simulate and test new bottles. It chose the 3DEXPERIENCE platform to support that shift after a proof-of-value project showed it could deliver a 30% increase in packaging development efficiency.



As well as uniting virtual and real-world digital data, the platform allows the company to create a virtual twin for each packaging design and integrate upstream and downstream tools and systems. This means that users across the value chain can access the virtual model of each design and see how their decisions fit into the bigger picture. Engineers can use it to run predictive simulations early in the design process, so they make the right decisions and reduce the need for line tests.



“It’s important to have a single entry-point to access all the simulation software tools and models,” said the company’s director of data science and analytics. “The 3DEXPERIENCE platform does that and enables businesses to collaborate, connect and scale.”




The 3DEXPERIENCE platform [&#8230;] enables businesses to collaborate, connect and scale.
Director of Data Science and Analytics



A Head-Start on New Designs



Data is only useful if it is searchable, understandable and actionable in the context each user needs. NETVIBES data science solutions make that possible by visualizing data from systems across the organization in the platform. This helps to optimize innovation in several ways.



At the start of a new design project, the solution provides intelligent search capabilities so designers can search using structured data or unstructured data. By viewing the information in context, they are better able to make decisions that will improve product quality while saving time and money.



For example, 3D geometric search allows the packaging design engineer to match their new design with similar shaped bottles that already exist across the company’s brands. They can then select the closest matches and compare specific attributes, to see where close similarities could allow them to reuse existing data – such as the materials used, pallet pattern and certification.



All this knowledge is accessed in one place so designers can review it, understand how successful the measures were and decide whether to reuse them for the new bottle. If the answer is yes, then they can quickly create a project using all the relevant content from previous projects, including component materials, engineering bill of materials, suppliers and reference documents. Then they can simply modify these elements as part of their new design. This cuts out a lot of research, trial and error early in the design process, helping to get the foundations right and prevent problems later.



Intelligent Project Execution



Innovation may start with a new idea, but its success depends on how efficiently the project can be brought to market. That efficiency gets a significant boost when all the relevant data is available at engineers’ fingertips.



For instance, running deliverables reports on past projects allows users to quickly find and reuse associated data linked to specific tasks. This helps them understand exactly what happened and when, including any issues, risks and budget involved, so they can reuse the successful parts and avoid any pitfalls.



Essentially, the company now has a system that can enhance the project’s efficiency by coaching its users team every step of the way. Everything they need, including deliverables, status and associated documentation, can be accessed from a single dashboard. They can drag and drop tasks from their to-do list to “in process” or “completed” fields. And instead of hunting among directories for the information they need – or assuming it doesn&#8217;t exist – they can instantly access the relevant templates to complete tasks like ship-and-stack tests, quickly and accurately.



Powering the Future of Packaging



For the food and beverage company, NETVIBES has already delivered significant value. It provides a unified view of data from different systems that allows development teams to search, understand and reuse information embedded across the value chain in an intuitive way. Stronger, more informed decisions have resulted, as lessons learned from past designs and physical tests are seamlessly woven into new projects.



With a fully digital, integrated packaging development system to work with, packaging engineers can now focus their time on true innovation work. This is enabling them to bring exciting, customer-centric packaging ideas to market faster, while hitting quality targets and optimizing cost. In fact, the company is looking at design efficiency gains of 30%.



This is also a solution that will power the packaging innovations of the future. By digitally accelerating innovation, the company believes that it will also allow research and development teams to work on larger projects around processing and packaging. Ultimately, it believes the technology has the flexibility, scalability and interoperability to provide an end-to-end platform that connects its R&amp;D to the supply chain.



“We are delighted to have helped our customer achieve its vision of an intuitive and optimized bottle development process, which was not possible with its existing technology,” said Morgan Zimmermann, CEO of Dassault Systèmes NETVIBES. “The company challenged us to be forward thinking, to understand its packaging engineers’ decision-making processes and to prove the value of our solution every step of the way. In response, we provided relevant use cases that accelerated the timeline for solution adoption and delivered immediate value.”




We are delighted to have helped our customer achieve its vision of an intuitive and optimized bottle development process, which was not possible with its existing technology. We provided relevant use cases that accelerated the timeline for solution adoption and delivered immediate value.
Morgan Zimmermann, CEO of Dassault Systèmes NETVIBES



Learn More Here



Download the eBook&nbsp;to discover more NETVIBES data science solutions in action!




 ]]>
      </content:encoded>
      </item>
<item>
      <title>
      <![CDATA[ Leveraging Virtual Twins to Accelerate Hydrogen Projects ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/industries/infrastructure-energy-materials/leveraging-virtual-twins-to-accelerate-hydrogen-projects/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/268592</guid>
      <pubDate>Wed, 06 Nov 2024 06:00:00 GMT</pubDate>
      <description>
      <![CDATA[  ]]>
      </description>
      <content:encoded>
      <![CDATA[ 
As the hydrogen economy gains momentum, companies involved in hydrogen production and distribution are increasingly turning to Virtual Twins to enhance their project execution, reduce risks, and speed up time-to-market. A Virtual Twin is a dynamic, integrated digital replica of a physical asset or system that allows engineers and decision-makers to simulate, analyze, and optimize processes in a comprehensive and risk-free environment. In the context of hydrogen projects, Virtual Twins offer a powerful tool for addressing the unique challenges of this emerging industry.



What is a Virtual Twin?A Virtual Twin goes beyond the traditional concept of a digital twin. While a digital twin typically focuses on replicating the physical aspects of an asset, Dassault Systèmes’ Virtual Twin incorporates both the physical and non-physical elements, including the entire ecosystem surrounding the asset. This includes modeling capabilities, stakeholder networks, supplier relationships, and even market dynamics. The Virtual Twin is not just a 3D model; it is a fully integrated environment where all aspects of a project or operation can be simulated and optimized in real time.By leveraging real-time data and advanced analytics, Virtual Twins enable companies to monitor and manage their assets more effectively, predict potential issues, and make informed decisions that enhance project outcomes.











The Benefits of Virtual Twins in Hydrogen Projects1.	Risk Mitigation: Hydrogen projects involve complex systems with many interdependencies. Virtual Twins allow engineers to simulate various scenarios, assessing how changes in one system might impact others. This capability is crucial for identifying and mitigating risks before they become costly problems in the real world.2.	Optimized Design and Operation: Virtual Twins enable project teams to optimize the design and operation of hydrogen production facilities. By simulating different configurations and operational conditions, companies can identify the most efficient and cost-effective approaches to producing and storing hydrogen.3.	Enhanced Collaboration: Hydrogen projects typically involve multiple stakeholders, including suppliers, contractors, and regulatory bodies. Virtual Twins provide a common platform for collaboration, ensuring that all parties have access to the same data and insights. This transparency fosters better communication and decision-making throughout the project lifecycle.4.	Faster Time-to-Market: By using Virtual Twins to validate designs and optimize processes early in the project, companies can accelerate the development timeline. This agility is particularly important in the fast-paced hydrogen economy, where the ability to bring new projects online quickly can be a significant competitive advantage.Real-World Applications of Virtual Twins in HydrogenSeveral companies are already leveraging Virtual Twins to drive success in the hydrogen space:• Design Validation: Before breaking ground on a new hydrogen production facility, companies can use Virtual Twins to simulate the entire project. This allows them to validate design choices, optimize system configurations, and identify potential issues before construction begins.• Operational Optimization: Once a hydrogen facility is operational, Virtual Twins can be used to monitor performance in real-time. By analyzing data from sensors and other sources, companies can identify inefficiencies, predict maintenance needs, and optimize production processes.• Regulatory Compliance: Virtual Twins can also help companies navigate the complex regulatory landscape surrounding hydrogen projects. By simulating different compliance scenarios, companies can ensure that their projects meet all necessary requirements, reducing the risk of delays and fines.



What is next?As the hydrogen economy continues to grow, the use of Virtual Twins will become increasingly important for companies looking to de-risk their investments and accelerate project delivery. By providing a comprehensive, data-driven view of hydrogen projects, Virtual Twins enable companies to make better decisions, optimize operations, and stay ahead of the competition. In a rapidly evolving industry, the ability to leverage Virtual Twins could be the key to long-term success.




    
        
            
                
                    
                    Infrastructure, Energy &amp; Materials Industry
                    Business Value Consultant Expert,Dassault Systèmes
                
                
                    Stefan Ceulemans joined Dassault Systèmes to lead the infrastructure, energy and materials industry solutions
                    and technical teams before moving to his current role as an industry business value expert focusing on clean
                    energy transformation. His industry experience is rooted in oil and gas through a wide variety of engineering and
                    operational leadership roles. Sustainability has been a continuous point of focus and interest in his career, with
                    successful leadership in energy efficiency programs. Over the last decade, Stefan Ceulemans has been an industry
                    consultant, manager and director on the forefront of business development and customer engagement activities.
                    He focuses on helping owner-operators leverage technology to improve project execution and controls, asset
                    information management and other tactical and strategic initiatives, such as transitioning to a clean and sustainable
                    energy economy.
                
            
        
    





 ]]>
      </content:encoded>
      </item>
<item>
      <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.   
 ]]>
      </description>
      <content:encoded>
      <![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.
 ]]>
      </content:encoded>
      </item>
<item>
      <title>
      <![CDATA[ 3DEXPERIENCE WITH NVIDIA RTX: ON. ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/brands/catia/3dexperience-with-nvidia-rtx-on/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/271116</guid>
      <pubDate>Tue, 22 Oct 2024 12:04:03 GMT</pubDate>
      <description>
      <![CDATA[ The demand for stunning visuals in gaming and serious digital experiences continues to rise, and developers have always faced the challenge of balancing image quality with performance. That is… until now.
 ]]>
      </description>
      <content:encoded>
      <![CDATA[ 
Preamble: Technical Lingo



A quick word upfront: this blog post contains some technical terms and abbreviations, which might not be well-known to every reader. To assist the reading andunderstanding, [here at the bottom of this post] is a short glossary of some technical terms used in this article.



Max FPS. Max Quality. Powered By AI.



The demand for stunning visuals in gaming and serious digital experiences continues to rise, and developers have always faced the challenge of balancing image quality with performance. That is… until now. Breakthrough technologies like DLSS (Deep Learning Super Sampling) and DLAA (Deep Learning Anti-Aliasing) have come into play as true game changers. Both powered by advanced AI (Artificial Intelligence), these solutions deliver impressive improvements in rendering quality and efficiency, for the first time ever breaking the barrier of having to trade off one for the benefit of the other. By harnessing deep learning, DLSS upscales lower-resolution images to better-than-native quality while also boosting frame rates. DLAA focuses on maximizing image quality with an AI-based anti-aliasing technique. Together, they represent a new era of rendering technology that offers the best of both worlds: stunning visuals with high performance, making them game changers for both digital entertainment and industrial applications.



DLSS uses deep learning algorithms to upscale lower-resolution images into higher-resolution ones while maintaining high visual fidelity. It essentially renders fewer pixels and then uses AI to create the rest, allowing for smoother frame rates without loss in image quality.



Key benefits:




Performance boost: DLSS helps applications run at higher frame rates by rendering fewer pixels and using AI to upscale the images.



Image quality: DLSS (especially DLSS 2.0 and beyond) produces native image quality or even better.



Real-time AI processing: NVIDIA Tensor Cores (present in NVIDIA RTX GPUs) power DLSS, allowing AI models to perform complex upscaling and anti-aliasing in real time.








Application For Industrial Use Cases



Beyond gaming and entertainment, technologies like DLSS and DLAA are proving transformative in industrial applications, particularly in VR (Virtual Reality). For industries like automotive, aerospace, high tech, product design and many more, the demand for photorealistic virtual prototypes has never been higher. The key challenge is achieving the high frame rates required for a smooth VR experience while maintaining visual fidelity. DLSS addresses this by boosting frame rates through AI-powered upscaling, making it possible to implement real-time ray tracing without compromising performance. NVIDIA RTX ray tracing, known for its ability to render physically accurate reflections on surfaces, becomes more feasible in VR environments, unlocking new use cases such as visibility studies, material testing, and interactive design reviews. This combination of technologies allows engineers and designers to interact with true-to-life digital prototypes, enhancing decision-making and reducing the need for costly physical mock-ups.



Harnessing Cutting-Edge Technology



As a key innovator in our field, we at Dassault Systèmes follow a long tradition of cultivating a technology collaboration with NVIDIA, to develop and integrate hardware and software and to maximize the benefits of digitalization for our users. Our 3DEXPERIENCE platform utilizes several of NVIDIA’s advanced technologies, ranging from AI-powered image denoising for global illumination rendering to the support of the latest NVIDIA RTX GPUs for maximum performance and even real-time ray tracing.The applications stretch far beyond simply enhancing the performance and visual quality for our users: by combining the most advanced hardware and software, we even unlock new use cases for Design &amp; Engineering, which previously seemed out of reach. With NVIDIA’s DLAA, DLSS and RTX real-time ray tracing, combined with the natively integrated push-button VR on the 3DEXPERIENCE platform, our users can experience physically correct reflections on any surface as part of their visibility checks and interactive ergonomic assessments.







We continuously evolve our rendering in collaboration with NVIDIA. To learn more about NVIDIA RTX and the latest supported drivers on the 3DEXPERIENCE platform, visit:



RTX on NVIDIA website



Dassault Systèmes certified drivers on NVIDIA website



Continue your journey and discover our dedicated CATIA portfolio all around high-end rendering, interactive product experiences and visual decision-making for designers and engineers here.



And join the CATIA Design &amp; Styling community, free login



Glossary: The Technical Lingo Explained



Aliasing happens when you use pixels to draw lines or curves on a screen (also known as rasterized graphics). It’s the dreaded “stair steps effect” which causes undesired image artifacts and poor image quality. Aliasing also happens when tiny or distant objects are smaller than one pixel on the screen, causing the outlines of objects to flicker, which can be especially distracting in VR.Anti-Aliasing (AA) is the name for the different methods to alleviate aliasing artifacts, by using interpolated color gradients for the surrounding pixels. While some AA methods process the image in native resolution to smooth out sharp edges, others require the source image to render at increased resolution, which is then scaled down (this especially helps to improve sub-pixel size artifacts). The challenge for all AA methods is to smooth out artifacts, without blurring or smudging the overall image. AA often requires a tradeoff between the desired quality and the available performance.Deep Learning (DL) is a subset of machine learning and describes the training of artificial neural networks to process data. “Deep” refers to multiple, stacked layers of artificial neurons in the network. All the currently popular AI models for natural language assistants or image generation are based on Deep Learning.Frames Per Second (FPS) describe the number of images (frames) rendered and displayed per second, which determines the overall performance and smoothness of a visual experience. The importance of high FPS grows linearly with the overall interactivity of your scene; maximum FPS are required for an enjoyable virtual reality experience with stereoscopic 3D rendering. Another critical factor for performance, especially for industrial applications, is the typical use of large data sets (large assemblies and native, precise CAD geometry), which increases the demand for memory and computation capacity. While computer games typically employ heavy optimizations like limiting the polygon count and using pre-calculated LODs (Level of Detail) for their assets, industrial applications require working on native, live data sets in fast-paced environments, where designs constantly change without much time for content optimization.Graphic Processing Unit (GPU) is specialized hardware architecture initially designed and optimized for the fastest rendering and display of image information. Some computers have integrated (“onboard”) GPUs, but the most powerful ones are usually separate units (“graphic cards”) with their own cooling and dedicated memory and core architecture. Thanks to their extreme real-time processing power, today’s GPUs are also used for other live processing of heavy data, like analysis of sensor inputs or training models for artificial intelligence.NVIDIA RTX™ Ada Generation is the latest and highly decorated GPU ecosystem by NVIDIA. Offering the most advanced platform for ray tracing and AI technologies, RTX revolutionizes ways to play and create. Leading games and applications use RTX to deliver realistic graphics, incredibly fast performance, and new cutting-edge AI features like NVIDIA DLSS. Our 3DEXPERIENCE platform supports NVIDIA RTX GPUs natively.Super Sampling (SS) means that the source image is rendered at a higher resolution than the desired target output. The high resolution image offers higher fidelity and more detail, which is then scaled down to interpolate the details for a smooth result. It is a powerful method for Anti-Aliasing, but it also requires lots of computation power.Virtual Reality (VR) is considered the pinnacle of real-time visualization. It brings a stereoscopic, “true-3D” experience, which requires the application to render twice the load of FPS (different perspectives for left and right eye of the user). Stereoscopic VR is usually combined with tracking the user in real time with six DOF (Degrees of Freedom) for capturing rotation and translation in 3D space, to accurately translate all the user’s movements into the virtual scene. This creates a virtual 3D environment for the user to explore 3D CAD models in a fully spatial, life-like experience. VR offers the maximum advantage in Design &amp; Engineering to understand sizes and proportions, visibility and ergonomics and spatial relations without physical mock-ups. High FPS are essential for a convincing and enjoyable VR experience. The 3DEXPERIENCE platform offers native, push-button VR in all of our 3D applications, supporting most Virtual Reality devices available on the market via the OpenXR standard.




 ]]>
      </content:encoded>
      </item>
<item>
      <title>
      <![CDATA[ Facing up to the challenge: Building bridges between industry and academia ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/industries/aerospace-defense/facing-up-to-the-challenge-building-bridges-between-industry-and-academia/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/269724</guid>
      <pubDate>Wed, 16 Oct 2024 07:48:18 GMT</pubDate>
      <description>
      <![CDATA[  ]]>
      </description>
      <content:encoded>
      <![CDATA[ 
Dassault Systèmes has been developing partnerships with the academic world for over 40 years. Over 8 million students in 40,000 schools are now using enterprise solutions as part of their training programs. At the beginning of this new year, the schools of the ISAE Group, a long-standing partner of Dassault Systèmes, decided to roll out the 3DEXPERIENCE® platform&nbsp;for their 7,000 students. Using industrial solutions when teaching provides training that is closely aligned with skills needs and new industrial practices.Valérie Ferret, Vice-President of the Education&nbsp;Department at Dassault Systèmes, and&nbsp;Thomas Zamolo, Collaborative Platforms Director within the Training Division at the ISAE-SUPAERO engineering school provide some insights.



What type of engineering profiles are manufacturers currently seeking?







Valérie Ferret: First of all, there is a growing need for engineers everywhere in the world, due to the major industrial transformations driven by the environmental and energy transition. This need is clearly highlighted in the assessment made by the Bureau of Labor Statistics (BLS), forecasting a demand growth of 13% for engineering skills in the US by 2031 and an annual need for about 400,000 new engineers. There is thus a critical need to make our professions more attractive as quickly as possible for young people and in particular, young women who are much less prone to pursuing careers in science or engineering that play an essential role in society.



All sectors of industry are currently experiencing major and complex&nbsp;transformations, whether they concern developments such as low-carbon aircraft for the aerospace industry, electrification and connectivity for the automobile sector or even precision medicine. These transformations require high responsiveness to the demands of a globalized market and regulatory requirements. Engineers thus need to work together to solve more complex problems more quickly.



How do you approach these changes at ISAE-SUPAERO?







Thomas Zamolo: Like all engineering schools in France, ISAE-SUPAERO is committed to the Skills-Based Approach. It is focused on applying knowledge to real life industrial situations in which we train learners within a context that dovetails the process with real world situations. The &nbsp;3DEXPERIENCE platform allows us to put learners in situations that closely simulate real-world manufacturing. This allows us to prioritize the acquisition of skills as opposed to accumulating knowledge. The 3DEXPERIENCE&nbsp;platform provides a powerful simulator of practical situations. Its huge applications portfolio facilitates the creation of links between different disciplines.



For example, we have developed a course module that focuses on developing the entire life cycle of a product in a 100% digital environment.The younger generation is adapting very quickly to these new ways of working. The 3DEXPERIENCE platform brings real added value to ISAE Group entities.



What type of support do you provide to this new generation of engineers?



Valérie Ferret: The industrial solutions that we are implementing are radically transforming the professions. From the outset at Dassault Systèmes, when our 3D modelling technologies were replacing work processes based on industrial drawing boards, we developed partnerships with the academic world to provide training in these new methods. CAD (computer-aided design) and CAM (computer-aided manufacturing) courses are now standard in all engineering schools. Artificial intelligence will accelerate the transformation of our businesses even more.With our solutions, certain functions that were formerly reserved for experts are now more accessible to non-experts. For example, product life cycle assessments (LCA) are now accessible to engineers in charge of product design. These LCAs are automatically proposed during product design, enabling designers to choose better alternatives in terms of materials, suppliers or manufacturing processes to reduce the product&#8217;s environmental impact. As a result, with the help of collaborative platforms such as 3DEXPERIENCE, engineers no longer collaborate solely within R&amp;D and the technical functions, but with all the company&#8217;s functions. For example, engineers have real-time access to the costs and availability of materials from the purchasing department so that they can design the most efficient products from both a functional and a financial point of view. The innovation process is continuous between all the company&#8217;s departments, and this profoundly changes the mission and collaboration practices of all the different professions.



Implementing industrial solutions such as the 3DEXPERIENCE platform in schools not only enhances training for current industrial practices but also helps to better anticipate and prepare for the transformation of the professions.







Are the links between academia and industry growing stronger?



Thomas Zamolo: The ISAE-SUPAERO, for example, has always maintained strong links with industry, with 900 part-time lecturers from industry and numerous partnerships and chairs with major aerospace players such as GIFAS, Dassault Aviation, Airbus, Ariane Group, Thales and others.



The academic partnership between Dassault Systèmes and the ISAE Group schools is simply the continuation of a very strong link that already existed.



This partnership strengthens the ties between teachers at ISAE Group schools and the Dassault Systèmes 3DEXPERIENCE Edu team by scheduling sessions to discuss best practices used in the industry, the best way to design a course using the 3DEXPERIENCE platform and how to certify learners.



What specific role does the 3DEXPERIENCE platform play in training engineers?



Valérie Ferret: The 3DEXPERIENCE platform is deployed at different levels in schools. Some schools are still concerned with training their engineering students in computer-aided design and manufacturing, with course-wide deployment. Others are more focused on integrating new disciplines into their courses, as with the example I provided on life cycle analysis, thus transforming their teaching from design to eco-design. Meanwhile, others want to develop new training courses in disciplines that are evolving very rapidly, with strong demand from industry, such as systems engineering (with its systems of systems approach). Finally, the most ambitious (such as those of the ISAE group) are seeking to deploy the platform across the whole of its disciplinary field to develop multi-disciplinary teaching and projects, further enhancing training in collaborative practices. These ambitious deployments facilitate the development of key skills for manufacturers that ensure the ability to collaborate effectively across disciplines so that more complex problems can be solved more quickly. Together.



How is this development being deployed in education?



Thomas Zamolo: The 3DEXPERIENCE platform&nbsp;helps create a link between the various disciplines. For example, the same virtual twin can be used for teaching design, computer-aided manufacturing, digital simulation, assembly processes and the use of immersive technologies in an industrial context. This further reinforces the cross-disciplinary teaching approach.



Within the ISAE Group, the 3DEXPERIENCE platform supports the project-based approach while encouraging the emergence of multi-institutional projects. The platform connects contributors geographically remote from one another working in different complementary disciplines. This is made possible by a centralized Cloud environment at the ISAE Group level and by a rich portfolio of applications that meet the specific needs of each school.



These two testimonials show us how the deployment of industrial solutions for teaching such as the 3DEXPERIENCE platform enables us to better train profiles in the skills sought by industry, not only in terms of technologies but also in new industrial practices.&nbsp;These close collaborations between industry and academia mean that training courses can not only be adapted to the current needs of industry but can also help to better anticipate the transformation of professions in a context of ecological transition and digitalization.&nbsp;The future of engineering lies in this synergy that enhances the employability of young people while responding to technological and environmental challenges.
 ]]>
      </content:encoded>
      </item>
    </channel>
   </rss>