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VGSTUDIO MAX brings significant time savings by incorporating a powerful connected workflow, from the precise reconstruction of three-dimensional volume data sets using the images taken by the CT scanner to visualization (in 3D and 2D) and the creation of impressive animations. VGSTUDIO MAX, coupled with CT scan technology, enables visual quality inspection in industrial applications and the visualization of data in fields of academic research such as archaeology, geology, and life sciences.
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This article introduces a partnership between Hexagon and Autoneum
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Artificial Intelligence (AI) is leveraged to enhance the Additive Manufacturing outcome. AI efficiently detects statistical patterns in each set of data and simplifies complex studies with reduced-order and surrogate modelling. In addition, the AI model establishes the link between the input parameters and the output performance, enabling an optimization loop.
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As companies prepare for the future and transform themselves into a dynamic and intelligent enterprises, adopting smart manufacturing enables this intelligence. This change entails a digital transformation that relies on the newest technologies to connect devices and systems, empower people with data, expand the intelligence of your enterprise, and become increasingly autonomous.
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In recent years, a significant proliferation in the development and commercialization of small Unmanned
Aircraft Systems (sUAS), commonly referred to as “drones”, has drastically changed the everyday use of
civil airspace. Drones have captured the imagination of many entrepreneurs because they can offer a
wide range of possibilities, i.e. commercial services, security, and environmental applications, in which
classic manned aviation struggles.
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As the manufacturing industry navigates a dynamic global market, industry leaders continue to seek innovative solutions to tackle new challenges. During the recent virtual launch of Nexus, experts gathered to share their insights on the current state of manufacturing.
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This webinar will showcase how applied machine learning solutions developed by Hexagon are benefitting the automotive industry. This session will focus on critical and historically-time-consuming applications Crash, NVH, Durability, CFD, Multi Disciplinary Optimization and multi-body dynamics analyses, where predictive models are cutting down time and cost whilst preserving results integrity.
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The aerospace industry is facing unprecedented challenges with regulatory compliance, supply chain and sustainability pressures along with net-zero emission demands. Watch this webinar to learn how Hexagon's Artificial Intelligence solution (ODYSSEE) helps organizations to address these issues.
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Watch this webinar to learn about Hexagon’s new product, Elements, and how it can help you to gain the multi-physics insights required to inform design direction and solve complex system performance issues.
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Watch the launch of Nexus, our new Digital Reality Platform that empowers makers with freedom to innovate. Listen to keynotes and panel discussions from industry leaders and Hexagon experts on how we are prepared to shape the future of the manufacturing industry.
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Simufact Additive is a powerful and scalable software solution for the simulation of metal-based additive manufacturing processes. Discover how to use Simufact Additives to optimize your metal 3D printing / rapid prototyping.
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Real Time computational speed is a pre-requisite when combining software models with hardware components, such as a chassis stability controller, vision/range sensors or a driving simulator. MSC Adams has long been the automotive industry's tool of choice for vehicle dynamics predictions.
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One of the biggest advantages of SPDM and Multibody Dynamics (MBD) integration is automated simulation process. When the simulation process ends, SPDM acts as a central data repository and stores all the output in databases. Moreover, it automatically compares all the results it stored before and creates a set of data which shows the comparison results.
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In Summa Innovation hosted a virtual session on MSC Software's SimManager. Expert Keith Dunlop gave a tour through the SPDM environment. He showed why Data Management is so important for companies and engineers working together. How to use this to improve working with many CAE simulations and on different projects.
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Temperature, humidity and air movements are central to thermo-fluid analysis. That’s a branch of engineering that seeks to understand and predict heat transfer in the context of moving particles, liquid or vapor. Being able to quantify those factors, scientists can then use computer modelling to understand and perhaps mitigate the possibility of heatstroke.
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Generative Design is characterized by a high degree of automation, flexibility, and overall high speed. The considerably increased computing power, which is also available in a scalable and flexible manner employing cloud computing, even without extensive hardware of one’s own, is the cornerstone of this development and the driver of progress in the entire simulation field.
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Manufacturers are looking for ways to increase their agility and resilience, to become more responsive to supply issues and shifts in customer demand.
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Hexagon Manufacturing Intelligence Elements can examine multiple physics and logic elements in one simulation.
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Simulation specialist Hexagon says it has demonstrated how complex CFD simulations, that were previously too time consuming and expensive to consider, can be achieved using capabilities derived from the world’s fastest supercomputer.
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This webinar series discusses how to improve the accuracy of CFD simulations by leveraging multiphysics methods available from Hexagon. In one example, the use of multiphysics and CFD yielded accurate aircraft flutter analysis within 2% of physical experimental results.
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Upgrade to Simufact Forming 2022 and benefit from a new parallelization method for finite volume simulations, improvements to cutting and damage modelling and modernization of the GUI. Many enhancements within the new version provide more usability, efficiency and productivity to your forming process simulation.
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Hexagon’s MSC Apex Generative Design solution provides the user with all the necessary tools within the software to import existing CAD data and manipulate it for model setup, or to create the model entirely within the software.
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Jan Büchsenschütz explains the challenges of modernizing factories and how those can be overcome.
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Read this whitepaper to gain key acoustic and noise perception concepts and understand the mechanisms by which wind turbines generate sound.
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This webinar covers the current state of Hexagon CFD solution for hypersonic flow simulations with the release of Cradle CFD 2022, including: Predicting the aerothermodynamic flow field around various objects and showcasing validation cases, Fluid-Structure interaction for structural integrity, and Safe store separation predictions.
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How Computer-Aided Engineering simulation and inspection ensures performance, improves reliability and confirms quality.
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This paper unleashes the power of Artificial Intelligence (AI) and Data Science (DS) in the field of Materials and Integrated Computational Materials Engineering (ICME). It develops leading edge applications, such as how to accelerate the generation of material data, enrich material databases, optimize manufacturing & design, among many other innovations that are now made possible with DS/AI.
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In this webinar series you will learn how Hexagon Manufacturing Intelligence solutions can help the wind energy industry overcome performance, reliability and lifecycle barriers with our comprehensive set of solutions spanning design & engineering simulation, manufacturing production & inspection, all the way to lifetime scanning & damage tracking.
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Download this whitepaper to find out how engineering simulation software tools are used in the new aircraft certification process. MSC Software is committed to helping companies and engineers meet airworthiness certification in a timely fashion while delivering high performance aircraft.
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Learn how engineers improve manufacturing procedures and minimize tooling and material costs on-demand.
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The convergence of mechatronic and system-based engineering with advances in data management, artificial intelligence (AI), machine-learning (ML) and increasingly connected manufacturing is challenging traditional industrial product development and manufacturing processes.
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Self-driving is becoming more and more realistic. Every day, thousands of autonomous vehicles are being tested on the roads by companies like Waymo, Cruise, Uber, Tesla, and some of those companies have accumulated millions of miles of road testing data, enhancing and validating their autonomous “brain”, with the hope that in the near future, full automation can be achieved.
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This paper outlines what Machine Learning (ML) and Artificial Intelligence (AI) is in the context of virtual manufacturing and CAE, and how ML models can shorten the simulation lifecycle dramatically across all industries.
