Regensburg 2022 – wissenschaftliches Programm

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MM: Fachverband Metall- und Materialphysik

MM 22: Data Driven Materials Science: Experimental Data Treatment and Machine Learning

MM 22.8: Vortrag

Mittwoch, 7. September 2022, 12:45–13:00, H46

Optimizing laser powder bed fusion by machine learning methods — •Dmitry Chernyavsky — IFW Dresden, Germany

Additive manufacturing (AM) is a revolutionary manufacturing technique, providing design freedom and environmental advantages. Each newly AM processed material usually requires the identification of the optimal parameter set, a cost and time-consuming process, mostly conducted by trial and error. Here we discuss a machine learning approach for AM process parameter optimization on an example of a Zr-based alloy.