Authors:
Magdalena Nowak-Coventry (Toyota Motor Europe, Belgium)
Artur Jojczyk (Toyota Motor Europe, Poland)
Nicola Casari (ToffeeX, United Kingdom)
Abstract:
In this study, a physics-driven generative AI software was employed to design conformal cooling for a casting tool. The cooling performance was analysed using casting simulation software and compared to current pin cooling and self-designed conformal cooling. The results demonstrated significant improvements in temperature, heat transfer coefficient (HTC) and soldering. Additionally, the time required to design appropriate cooling can be reduce by 50%. The optimized tool was subsequently printed and is scheduled for testing in production.
DOI:
https://doi.org/10.59499/EP256779436
