A hybrid two stage Taguchi-regression-NSGA II-AHP-GRA, multi-objective optimization framework for sustainable straight slot milling of AZ31 magnesium alloy

A hybrid two stage Taguchi-regression-NSGA II-AHP-GRA, multi-objective optimization framework for sustainable straight slot milling of AZ31 magnesium alloy

This study proposes a novel two-stage optimization framework to enhance the economic and environmental sustainability of AZ31 magnesium alloy milling. By integrating Taguchi's method, stepwise regression, NSGA-II, AHP, and Grey Relational Analysis (GRA), the framework systematically optimizes m...

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Bibliographic Details
Main Authors: M. Atif Saeed, Faraz Junejo, Imran Amin, Irfan Khan Tanoli, Abeer D. Algarni, Sadique Ahmad, Abdelhamied A. Ateya
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Results in Engineering
Subjects:
Sustainable milling
Two-stage optimization
Magnesium alloy milling
Economic sustainability
Environmental sustainability
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025005298
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