What are the latest trends and innovations in CAE and CAM technologies and how do you keep up with them?

Computer-aided engineering (CAE) and computer-aided manufacturing (CAM) are essential tools for designing, simulating, optimizing, and producing complex products and systems. But what are the latest trends and innovations in these technologies and how do you keep up with them? In this article, we will explore some of the current and emerging developments in CAE and CAM and share some tips on how to stay updated and competitive in this fast-changing field.

1 Cloud-based CAE and CAM

One of the major trends in CAE and CAM is the adoption of cloud-based solutions that offer more scalability, flexibility, accessibility, and collaboration. Cloud-based CAE and CAM enable you to access powerful computing resources, data, and software from anywhere and at any time, without the need for expensive hardware or licenses. You can also share your work with other engineers, clients, or suppliers and leverage cloud-based platforms and marketplaces for finding, testing, and deploying new tools and applications. Some examples of cloud-based CAE and CAM providers are Onshape, SimScale, Fusion 360, and nTopology.

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Vince Adams
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In my 30+ years of work to make upfront FEA pervasive in the design process, one of the most exciting developments has been quiet but I think we’ve reached a tipping point - Computing Power. With Cloud computing availability, design engineers no longer have to avoid complex assemblies with contact or more realistic nonlinear material models. At SIMULIA, we are helping customers capture Virtual Twins, from devices to processes, in templates that put years of expert experience into apps that 20 years ago would have been presented as breakthroughs at global conferences. The breaking down of barriers & giving design engineers access to expert modeling techniques is a natural byproduct of accessible computing power.

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2 Artificial intelligence and machine learning

Another trend that is transforming CAE and CAM is the integration of artificial intelligence (AI) and machine learning (ML) algorithms that can enhance the efficiency, accuracy, and creativity of engineering tasks. AI and ML can help you automate repetitive or tedious processes, such as meshing, geometry creation, or parameter optimization. They can also help you generate new design solutions, such as generative design or topology optimization, that optimize your product performance, functionality, and aesthetics. Moreover, they can help you analyze large amounts of data, such as simulation results, sensor data, or customer feedback, and provide insights and recommendations for improving your design or manufacturing decisions. Some examples of AI and ML applications in CAE and CAM are ANSYS Discovery, Autodesk Dreamcatcher, Solidworks 3DEXPERIENCE, and Autodesk PowerMill.

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David Gray

Simulation and CAE Industry Expert | Strategic Account Management and Business Development
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In addition to the examples given, Hexagon Manufacturing Intelligence Design & Engineering (formerly MSC Software) have integrated ODYSSEE AI / ML technology into MSC Nastran and CAEfatigue for durability. This robust design approach is becoming mainstream in CAE and is transforming the way companies design products today. ODYSSEE can also be used as a standalone product to work with 3rd party applications and / or test data.

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3 Additive manufacturing and digital twins

A third trend that is reshaping CAE and CAM is the advancement of additive manufacturing (AM) and digital twins technologies that enable more customization, innovation, and integration of products and systems. AM, also known as 3D printing, allows you to create complex geometries, functional gradients, and multi-material components that are not possible with traditional manufacturing methods. AM also reduces material waste, energy consumption, and lead time, and enables on-demand and distributed production. Digital twins are virtual representations of physical products or systems that can be used to simulate, monitor, and optimize their behavior and performance in real time. Digital twins can help you improve your product quality, reliability, and maintenance, as well as enable feedback loops and continuous improvement. Some examples of AM and digital twins tools in CAE and CAM are ANSYS Additive Suite, Autodesk Netfabb, Siemens NX AM, and PTC ThingWorx.

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4 How to keep up with CAE and CAM trends and innovations

Staying up to date with the latest trends and innovations in CAE and CAM can be a challenge, yet it can also be rewarding and exciting. To stay competitive in this fast-changing field, consider subscribing to online magazines, blogs, podcasts, or newsletters that cover CAE and CAM topics. Additionally, join online communities, forums, or groups that discuss relevant issues, challenges, best practices, or tips. Moreover, attend online or offline events, webinars, workshops, or courses to learn about CAE and CAM trends and innovations. Furthermore, experiment with new CAE and CAM tools that offer free trials, demos, or tutorials. Finally, network with other CAE and CAM professionals who can provide their knowledge or experience.

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5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What are the latest trends and innovations in CAE and CAM technologies and how do you keep up with them?

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1 Cloud-based CAE and CAM

2 Artificial intelligence and machine learning

3 Additive manufacturing and digital twins

4 How to keep up with CAE and CAM trends and innovations

5 Here’s what else to consider

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