Process Parameter Selection for Production of Stainless Steel 316L Using Efficient Multi-Objective Bayesian Optimization Algorithm

Process Parameter Selection for Production of Stainless Steel 316L Using Efficient Multi-Objective Bayesian Optimization Algorithm

Additive manufacturing is a modern technique to produce parts with a complex geometry. However, the choice of the printing parameters is a time-consuming and costly process. In this study, the parameter optimization for the laser powder bed fusion process was investigated. Using state-of-the art mul...

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Bibliographic Details
Main Authors: Timur Chepiga, Petr Zhilyaev, Alexander Ryabov, Alexey P. Simonov, Oleg N. Dubinin, Denis G. Firsov, Yulia O. Kuzminova, Stanislav A. Evlashin
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Materials
Subjects:
metal additive manufacturing
powder bed fusion
SS316L
printing parameters
machine learning
multi-objective optimization
Online Access:https://www.mdpi.com/1996-1944/16/3/1050

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https://www.mdpi.com/1996-1944/16/3/1050

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