Case Study: Subaru accelerates vehicle development with Neural Concept

Subaru cuts die face design analysis from 3 hours to 2 minutes with Neural Concept

The automotive manufacturer Subaru faced a significant challenge in its goal to begin mass production of new vehicle models by 2028. The time-consuming nature of traditional CAE tools for forming analysis in the stamping area, which could take up to 48 hours for analysis and weeks for feedback, was a major bottleneck. To accelerate development, Subaru, working through partner Cybernet Systems, evaluated the capabilities of Neural Concept.

Neural Concept implemented its deep learning-based platform to predict the thickness reduction rate for die face shape design. The solution provided by Neural Concept dramatically reduced the analysis time from 3 hours to just 2 minutes while maintaining accuracy comparable to conventional CAE tools. This breakthrough is expected to significantly cut down overall development man-hours, allowing Subaru to explore designs more quickly and shorten the development period for its next-generation vehicles.

Subaru