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Process Optimization...

by Michael A Sprayberry, Michael M Kirka, Vincent C Paquit
Publication Type
Book Chapter
Publication Date
Page Numbers
53 to 59
Publisher Name
ASM International
Publisher Location
Almere, Netherlands

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.