Computational Fluid Dynamics (CFD) is an essential tool for analyzing and optimizing flow behavior across various industries, including automotive, aerospace, and power generation. At IANUS Simulation GmbH, we use CFD to simulate complex physical processes and provide our clients with informed insights into their projects. Traditionally, however, CFD simulations require significant computational power and time. This is where Artificial Intelligence (AI) comes into play, creating new opportunities to make the simulation process more efficient and powerful.

"This saves us a great deal of laboratory work, which is very complex, time-consuming, and labor-intensive. It is so easy to use that even non-engineers can operate the StrömungsRaum®."

- Mikael Tekneyan | Team Leader Research & Development of Digital Products NETZSCH

Model Reduction: Precise Results in Less Time

One of the key advantages of AI in CFD lies in model reduction. Through machine learning, AI algorithms can learn which parameters and areas of a model are critical. This allows the complexity of simulations to be reduced without sacrificing accuracy. For our customers, this means faster calculations and optimized simulation processes, saving both time and costs. This is particularly beneficial in product development, where increasingly faster innovation cycles are demanded.

Another application area of AI at IANUS is the automation of parameter settings. The process of parameter selection during CFD simulations typically requires extensive expert knowledge and can be time-consuming. By using AI optimizations, we can automatically determine the best simulation parameters, accelerating the entire process and further increasing the accuracy of the results. Our customers benefit from more efficient and reliable simulations, enabling them to make informed decisions more quickly.

Turbulence Modeling: Deep Learning for Precise Flow Simulations

In turbulence modeling—one of the greatest challenges in CFD—IANUS also leverages the advantages of deep learning. Neural networks enable us to simulate turbulence faster and more accurately, which is crucial in safety-critical areas like aerospace. These innovations not only lead to shorter computation times but also to more accurate predictions in demanding flow scenarios.

The combination of CFD and AI at IANUS opens up immense potential for hybrid approaches. By combining physics-based models with AI-based optimizations, we offer tailored solutions that integrate the precision of traditional models with the efficiency of AI. Particularly in large projects, such as vehicle development or the energy sector, our customers benefit from this perfect synergy.

The future of CFD simulation at IANUS lies in real-time applications and the continuous development of AI-based methods. This will enable our customers to make their simulation and development processes even faster, more flexible, and more cost-effective.

Explore the Possibilities of AI in CFD!

The integration of AI into CFD simulation offers significant competitive advantages. If you want to know how IANUS Simulation GmbH can assist you in optimizing your product development and enhancing process efficiency, contact us for a non-binding consultation. Together, we will find out how our solutions can be tailored specifically to your needs—and how we can accompany you on the path to even better results.