Case Study: Convion cuts fuel cell ejector design time with SimScale Physics AI

Convion - Reducing Design Cycles with Generative Engineering

Convion faced the challenge of optimizing a complex fuel cell ejector design. Using traditional simulation-driven optimization methods to find the best-performing configuration would have taken their team months to complete. They turned to SimScale and its Physics AI service to find a solution.

Using SimScale, Convion trained a Physics AI surrogate model on a design of experiments. This solution allowed them to generate a new optimized design in under an hour, a process that landed within 5% of full CFD results. The final design was also 50% smaller, cutting their design time by 90%.

Convion