Multi-Response Optimization of Milling Process of Hardened S50C Steel Using SVM-GA Based Method

Multi-Response Optimization of Milling Process of Hardened S50C Steel Using SVM-GA Based Method

This study aims to find the optimized parameters for surveying the milling process of S50C steel in a minimum quantity lubrication (MQL) environment using a support vector machine-genetic algorithm (SVM-GA). Based on the experimental matrix designed by the Taguchi method, surface roughness and cutti...

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Bibliographic Details
Main Authors: Thanh-Cong Nguyen, Dung Hoang Tien, Ba-Nghien Nguyen, Quang-Cherng Hsu
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Metals
Subjects:
milling process
multi-response optimization
support vector machine
generic algorithm
minimum quantity lubrication (MQL)
Online Access:https://www.mdpi.com/2075-4701/13/5/925

Internet

https://www.mdpi.com/2075-4701/13/5/925

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