Machine Learning in CFD, AI-driven Automotive Industry & CFD Trends | AI in Engineering #9

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Transforming Automotive Design with Machine Learning and CFD

Aerodynamic performance is more critical than ever, especially as electric vehicles (EVs) become mainstream. A 10% improvement in aerodynamics can increase an EV’s range by approximately 5%—a key advantage in a competitive market. Achieving this requires constant collaboration between design and aerodynamic teams, traditionally involving hundreds of design iterations and thousands of CFD simulations over the years.

Enter Artificial Intelligence (AI) and Machine Learning. Advanced AI techniques like Graph Neural Networks (GNN) are streamlining CFD workflows, allowing for faster, more efficient simulations that generate near-instant results.

We explored how Machine Learning transforms vehicle proportion studies in a recent study using NAVASTO’s NAVPACK AI software on an AeroSUV model in ELEMENTS. Historically, such studies involved morphing vehicle features, such as overhangs and roof height, and running time-consuming simulations. However, with AI, manufacturers can now analyze sensitivity to aerodynamic forces and optimize vehicle geometry in real-time, drastically reducing the need for physical testing.

The study achieved impressive accuracy by training AI models on just 110 simulations, with over 95% correlation for drag and lift predictions. This breakthrough enables engineers to explore more design iterations in shorter run times, accelerating the development process.

While AI won’t replace traditional CFD simulations or real-world experiments, it’s an invaluable tool in your toolbox. It can drive speed and efficiency while fostering greater collaboration across teams.

As automotive companies continue to embrace AI and Machine Learning, the future of design is faster, smarter, and more innovative.

?? Learn more about machine learning in CFD: https://blog.engys.com/machine-learning-in-cfd-revolutionizing-automotive-design-processes/

How AI Is Driving The Future Of Automotive Industry?

As the automotive industry evolves, trends like electrification, autonomous vehicles, and sustainability drive innovation—but AI and Machine Learning are truly transforming how cars are designed, built, and operated.

In Autodesk’s article, you can learn how AI drives many innovations reshaping the automotive world. From AI-powered design tools to smart factories, here’s how AI is transforming the automotive landscape:

1. AI in Vehicle Design: Automotive designers leverage AI to generate thousands of designs, speeding up the formation of innovative, efficient, and sustainable vehicles.?
2. Smarter Manufacturing: AI-powered smart factories are improving efficiency through predictive maintenance and automating tasks like assembly and welding. AI enables real-time data analysis, minimizing downtime and optimizing production.
3. In-Vehicle AI: Modern vehicles are evolving into software-defined machines, equipped with AI systems that enhance performance and driving safety.?
4. Accelerating Autonomous Driving: AI-powered autonomous vehicles are no longer a far-off dream. By processing massive amounts of data from sensors like LiDAR and cameras, AI allows cars to navigate safely, bringing us closer to a driverless future.
5. Predictive Modeling with AI: AI solutions (like the ones NAVASTO offers) allow automotive companies to run simulations faster than ever, predicting vehicle performance and optimizing designs without requiring extensive physical testing. This reduces the time and cost of development, pushing innovations to market at record speeds.

By integrating AI across design, production, and in-vehicle systems, manufacturers can create smarter, safer, and more efficient vehicles for the future.

?? Read the full article to learn more about the top trending trends in the automotive industry: https://www.autodesk.com/design-make/articles/automotive-industry-trends

CFD Trends In The Automotive Industry

CFD trends in the automotive industry.

The automotive industry is at the edge of innovation, and CFD plays a vital role in enhancing vehicle performance, efficiency, and safety. As we move through 2024, several key trends have been shown to shape the application of CFD in automotive engineering.

AI and machine learning in CFD allow engineers to conduct faster simulations and optimize designs with greater precision. Electrification brings new challenges in thermal management, where CFD is crucial for developing efficient cooling systems for EV components. Aerodynamics remains a critical focus, with advanced simulations helping to reduce drag and improve fuel efficiency, pushing the industry toward greener solutions.

Innovations like VR and AR create immersive simulation environments, while cloud-based platforms democratize access to powerful CFD tools, enabling teams across the globe to collaborate seamlessly. The rise of multiphysics simulations is helping engineers tackle complex vehicle systems, and sustainability drives innovations in materials and design.

These many trends are not just improving CFD capabilities—they’re the future of automotive design, testing, and manufacturing. Get ready as we enter a new, exciting era in which the automotive industry drives forward with CFD at the wheel!

?? Learn more about these trends in CFD: https://www.verifiedmarketreports.com/blog/top-7-trends-in-computational-fluid-dynamics-cfd-in-the-automotive-market/

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The future is now.

Matthias