Optimization of gas metal arcwelding parameters of SS304 austenitic steel by Taguchi –Grey relational analysis
Publish place: Journal of Computational and Applied Research in Mechanical Engineering، Vol: 7، Issue: 2
Publish Year: 1397
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_JCARME-7-2_005
تاریخ نمایه سازی: 20 آبان 1397
Abstract:
This study investigated the optimization of three welding parameters (wire feed speed, arc voltage, and shielding gas flow rate) for SS 304H by using Taguchi based Grey relational analysis. In this research work, pure argon was used as shielding gas. Numbers of trials were performed as per L16 (4xx3) orthogonal array design and the mechanical quality such ultimate tensile strength, microhardness, Toughness, and microstructure of SS304H optimized by Grey-based Taguchi analysis and result shows that the optimalparameters combination were as A4B4C3 i.e. flow rate at 23L/min, voltage at 25 V and welding speed at 350IPM and it was observed that wire feed speed had the most significant effect followed by voltage and gas flow rate. An optimal combined parameter of the welding operation was obtained via Grey relational analysis. By analyzing Grey relational grade matrix, the degree of influence for each controllable process factor onto individual quality targets can be found.
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Authors
Saadat Ali Rizvi
Mechanical Engineering Department, Indian Institute of Technology (BHU), Varanasi, India
S.P Tewari
Mechanical Engineering Department, Indian Institute of Technology (BHU), Varanasi, India