Multi-Objective Welding Optimization for AA5052 Using Taguchi-Fuzzy Approach

作     者：Omprakasam, S. Raghu, R. Balaji Ayyanar, C. 

作者机构：Sri Ramakrishna Engineering College Department of Mechanical Engineering India Coimbatore Institute of Technology Department of Mechanical Engineering India 

出 版 物：《SAE International Journal of Materials and Manufacturing》 (SAE Int. J. Mater. Manuf.)

年 卷 期：2025年第18卷第3期

核心收录：

学科分类：0806[工学-冶金工程] 08[工学] 0714[理学-统计学（可授理学、经济学学位）] 0701[理学-数学] 0702[理学-物理学] 0801[工学-力学（可授工学、理学学位）] 0823[工学-交通运输工程] 

主　　题：Aluminum alloys 

摘      要：This study investigates the influence of tungsten inert gas (TIG) welding parameters on the dilution and hardness of AA5052 aluminum alloy. Employing Taguchi s L27 orthogonal array, the research systematically explores the effects of current, voltage, and welding speed. Analysis of the experimental data utilizes signal-to-noise ratio, analysis of variance (ANOVA), and regression techniques. The study compares a traditional regression model with a fuzzy logic approach for result validation, finding that the latter exhibits marginally better predictive accuracy. Optimal welding parameters are identified as 150 A current, 20 V voltage, and 45 mm/s welding speed, yielding a maximum dilution of 52.81% and hardness of 145.3 HV 0.5. Current emerges as the most significant factor influencing both dilution and hardness. Microstructural examination, hardness profiling, and tensile testing of specimens welded under optimized conditions reveal a characteristic hardness distribution across the weld zones and ductile fracture behavior. © 2025 SAE International.