Laser powder bed fusion process optimization of CoCrMo alloy assisted by machine-learning

Laser powder bed fusion process optimization of CoCrMo alloy assisted by machine-learning

Gaussian process regression (GPR) model of machine learning method was employed to identify the optimal process window for high-performance CoCrMo alloy in laser powder bed fusion (LPBF), considering density (≥99%) and surface roughness (≤7 μm) as key parameters. Additionally, the study examined the...

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Bibliographic Details
Main Authors: Haoqing Li, Bao Song, Yizhen Wang, Jingrui Zhang, Weihong Zhao, Xiaoying Fang
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:Journal of Materials Research and Technology
Subjects:
Laser power bed fusion
Machine learning
relative density
Surface roughness
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785424023457
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