Multi-objective optimization of process parameters in TIG-MIG welded AISI 1008 steel for improved structural integrity

被引:14
作者
Abima, Cynthia Samuel [1 ]
Akinlabi, Stephen Akinwale [2 ]
Madushele, Nkosinathi [1 ]
Fatoba, Olawale Samuel [1 ]
Akinlabi, Esther Titilayo [1 ,3 ]
机构
[1] Univ Johannesburg, Mech Engn Sci, Johannesburg, South Africa
[2] Walter Sisulu Univ, Mech Engn, Butterworth, South Africa
[3] Pan African Univ Life & Earth Sci Inst PAULESI, Ibadan, Nigeria
关键词
Grey-based Taguchi method; Multi-objective optimization; Tensile strength; TIG-MIG hybrid welding; Yield strength; MECHANICAL-PROPERTIES; ARC; MICROSTRUCTURE; HARDNESS; JOINTS;
D O I
10.1007/s00170-021-08181-1
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study investigates a parametric multi-objective optimization of the Tungsten Inert Gas-Metal Inert Gas (TIG-MIG) hybrid welding of AISI 1008 mild steel joints. A combined grey relational system theory and the Taguchi method was used for process optimization towards achieving a set of process parameter that maximizes both ultimate tensile strength and 0.2% yield strength for structural applications. An L-9 orthogonal array based on the Taguchi method was adopted for the experimental design matrix. Grey relational grading system was used to establish a single grade for the responses. Mathematical models for first- and second-order regressions were developed and optimum process parameter combination that optimizes the response was obtained. From the results, the gas flow rate had the most significant influence on the responses with a percentage contribution of 39.77%. Also, the second-order regression models had a higher coefficient of determination (R-2) compared to the first-order regression for the two responses and, thus, represents the best fit for the process. The grey relational grade was improved by 0.0489 through process optimization. The interactive effects of process parameters and their effects on the responses are also illustrated by response surface plots. This study shows the effectiveness of the grey relational grading system in achieving a multi-objective optimization for the TIG-MIG welding process.
引用
收藏
页码:3601 / 3615
页数:15
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