Predicting Relative Density of Pure Magnesium Parts Produced by Laser Powder Bed Fusion Using XGBoost

Predicting Relative Density of Pure Magnesium Parts Produced by Laser Powder Bed Fusion Using XGBoost

In this work, Laser Powder Bed Fusion (LPBF), an additive manufacturing (AM) process, was optimised to produce pure magnesium components. The focus of the presented work is on the prediction of the relative product density using the machine learning model XGBoost to improve the production process an...

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Bibliographic Details
Main Authors: Kristijan Šket, Snehashis Pal, Janez Gotlih, Mirko Ficko, Igor Drstvenšek
Format: Article
Language:English
Published: MDPI AG 2025-08-01
Series:Applied Sciences
Subjects:
additive manufacturing
machine learning
XG Boost
magnesium
relative density
Online Access:https://www.mdpi.com/2076-3417/15/15/8592
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