Process Optimization
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Published:2023
Abstract
Process optimization is the discipline of adjusting a process to optimize a specified set of parameters without violating engineering constraints. This article reviews data-driven optimization methods based on genetic algorithms and stochastic models and demonstrates their use in powder-bed fusion and directed energy deposition processes. In the latter case, closed-loop feedback is used to control melt pool temperature and cooling rate in order to achieve desired microstructure.
Michael Sprayberry, Michael Kirka, Vincent Paquit, Process Optimization, Additive Manufacturing Design and Applications, Vol 24A, ASM Handbook, Edited By Mohsen Seifi, David L. Bourell, William Frazier, Howard Kuhn, ASM International, 2023, p 53–59, https://doi.org/10.31399/asm.hb.v24A.a0006994
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