Machine Learning-Driven Optimization of Machining Parameters Optimization for Cutting Forces and Surface Roughness in Micro-Milling of AlSi10Mg Produced by Powder Bed Fusion Additive Manufacturing

Machine Learning-Driven Optimization of Machining Parameters Optimization for Cutting Forces and Surface Roughness in Micro-Milling of AlSi10Mg Produced by Powder Bed Fusion Additive Manufacturing

This study focuses on optimizing machining parameters in the micro-milling of AlSi10Mg aluminum alloy produced via the powder bed fusion additive manufacturing process. Although additive manufacturing enables complex geometries and minimizes material waste, challenges remain in reducing surface roug...

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Bibliographic Details
Main Authors: Zihni Alp Cevik, Koray Ozsoy, Ali Ercetin, Gencay Sariisik
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
additive manufacturing
AlSi10Mg
micro-milling
cutting forces
surface roughness
machining optimization
Online Access:https://www.mdpi.com/2076-3417/15/12/6553
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