Grey Based Taguchi Method for Optimization of TIG Process Parameter in Improving Tensile Strength of S30430 Stainless Steel

1st International Conference on Contemporary Research in Mechanical Engineering with Focus on Materials and Manufacturing

机械制造;材料科学

Ahmad, Asif^1 ; Alam, S.^2

Department of Mechanical Engineering, Integral University, Uttar Pradesh, Lucknow

226021, India^1

Department of Mechanical Eng., Integral University, Uttar Pradesh, Lucknow

226021, India^2

关键词: Grey relation analyses (GRA);    Grey-based Taguchi method;    Minitab18;    Stainless steel fasteners;    Taguchi methodology;    Taguchi's design of experiments;    TIG-welding;    Tungsten inert gas welding;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/404/1/012003/pdf
DOI  :  10.1088/1757-899X/404/1/012003

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Tungsten inert gas welding is popular known welding technique for ferrous & nonferrous. Stainless steel grade 3HQ (S30430) is a specialized wire grade with very wide usage for manufacturer of stainless steel fastener. It has now totally replaced Grade 384 and 305 for heading application. The stable austenitic structure makes 302HQ nonmagnetic, even after substantial cold work, and also results in excellent toughness, even down to cryogenic temperatures. This paper attempts in optimizing the Tungsten Inert Gas (TIG) welding process parameter. The effect of various parameters and their influence is important to determine the strength of welded joint. To obtain a good quality weld, it is therefore, essential to control the input welding parameters. Therefore appropriate selection of input welding parameter is necessary in order to obtain a good quality weld and subsequently increase the productivity of manufacturing industry. This paper present multi objective optimization using grey relation analysis (GRA) for S30430 with TIG process to determine the suitable selection of parameters Experiment were conducted according to Taguchi's design of experiments (DOE) with orthogonal array L9 is used, mathematical model was developed using parameters such as speed (mm/min), current (Amp), voltage (V), depth of penetration (mm). After conducting experiment and collecting data, signal to noise ratio were determined by using Minitab18 and it is used to obtain optimum level for every input parameter.