Physics guided heat source for quantitative prediction of IN718 laser additive manufacturing processes
Abdullah Al Amin,
Yangfan Li,
Ye Lu
et al.
Abstract:Challenge 3 of the 2022 NIST additive manufacturing benchmark (AM Bench) experiments asked modelers to submit predictions for solid cooling rate, liquid cooling rate, time above melt, and melt pool geometry for single and multiple track laser powder bed fusion process using moving lasers. An in-house developed Additive Manufacturing Computational Fluid Dynamics code (AM-CFD) combined with a cylindrical heat source is implemented to accurately predict these experiments. Heuristic heat source calibration is prop… Show more
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