Explore all case studies

AI prediction of CFD results

CFD calculations are not only time-consuming but also require considerable manual effort and expert knowledge. This leads to long development cycles, resulting in limited number of optimization loops and less efficient CAD/CAE-collaboration. With the automated geometry creation and preprocessing, all necessary training data could be generated in parallel within a few hours using a connected 3rd party cloud solution. The generated data was then transferred into an AI model.

190% ROI within the first 12 months

92% reduced effort for CFD simulations

Project timeline shortened by 13% after training

190% ROI within the first 12 months

92% reduced effort for CFD simulations

Project timeline shortened by 13% after training

With Synera, we were not only able to automatically generate synthetic CAD and simulation data for training, but also to directly integrate the trained model into an automated development workflow. This had a positive impact on our ROI and ensured that the accuracy of our AI model is continuously and automatically improved.

Nils Kaiser

Project Engineer Algorithmic Development

Nils Kaiser

RLE INTERNATIONAL

Gold
Silver

The RLE INTERNATIONAL Group is one of the world's leading providers of development, technology and consultancy services to the international mobility and services industry. RLE has over 30 years of experience in developing innovative and effective solutions for its international customers. More than 2,000 employees worldwide keep abreast of technological advances.

Share this case study