Multi-objective optimization of SUS430C steel turning process using hybrid machine learning and evolutionary algorithm approach

Multi-objective optimization of SUS430C steel turning process using hybrid machine learning and evolutionary algorithm approach

This study focuses on the turning process of SUS430C stainless steel, a ferritic stainless steel known for its excellent corrosion resistance and moderate mechanical properties, commonly used in automotive and kitchen applications, a material widely used in industrial applications but challenging to...

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Bibliographic Details
Main Authors: Nguyen Van-Canh, Nguyen Anh-Thang, Pham Ngoc-Linh, Nguyen Thuy-Duong
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Results in Engineering
Subjects:
Surface roughness
Tool wear
XGBoost
NSGA-II
Multiple objective optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025003196
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