Experimental investigation and laser control in Ti10Mo6Cu powder bed fusion: optimizing process parameters with machine learning

Experimental investigation and laser control in Ti10Mo6Cu powder bed fusion: optimizing process parameters with machine learning

Abstract Laser Powder Bed Fusion (LPBF) is a key additive manufacturing technique, yet achieving optimal track formation remains a challenge due to the complex interplay of laser parameters. This study presents a hybrid experimental and machine learning (ML) approach to enhance laser control in the...

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Bibliographic Details
Main Authors: Ouf A. Shams, Hanan B. Matar Al-Baity, Luttfi A. Al-Haddad
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Discover Materials
Subjects:
Machine learning
Laser powder bed fusion
Control
Gradient boosting decision tree
Online Access:https://doi.org/10.1007/s43939-025-00322-7
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https://doi.org/10.1007/s43939-025-00322-7

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