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Analysis reveals improved cooling performance and time efficiency in manufacturing tools, suggesting advancements in AI applications.
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.
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Nowak-Coventry et al. (2025) studied this question.
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