30th annual international conference of the Iranian Society of Mechanical Engineers (ISME 2022) , 2022-05-10

Title : ( Taguchi-based optimization technique for activated tungsten inert gas welding process )

Authors: Reza Vafadarnia , Shahrouz Yousefzadeh , Farhad Kolahan ,

Citation: BibTeX | EndNote

Abstract

In order to improve the performance of TIG welding process different methods have been proposed among which, activated tungsten inert gas (A-TIG) welding process is the most important one. In this study, Taguchi method, regression modeling and analysis of variance have been used to model and optimize A-TIG welding process. In this paper SiO2, nano-particles have been considered as an activating flux. To gather the required data, Taguchi method has been employed. Then, process response parameters have been measured and their corresponding signal to noise (S/N) ratio values have been calculated. Different regression equations have been applied to model the process. Based on statistical findings, the most fitted models have been selected as an authentic representative of the process. Next, S/N analysis, in such a way that weld width minimized and depth of penetration is maximized has been used. Finally, experimental performance evaluation tests have been carried out, based on which it can be concluded that the proposed procedure is quite efficient (with less than 7% error) in modeling and optimization of A-TIG welding process.

Keywords

, activated TIG welding process, depth of penetration, weld bead width, design of experiments, and signal to noise analysis
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@inproceedings{paperid:1090684,
author = {رضا وفادارنیا and شهروز یوسف زاده and Kolahan, Farhad},
title = {Taguchi-based optimization technique for activated tungsten inert gas welding process},
booktitle = {30th annual international conference of the Iranian Society of Mechanical Engineers (ISME 2022)},
year = {2022},
location = {تهران, IRAN},
keywords = {activated TIG welding process; depth of penetration; weld bead width; design of experiments; and signal to noise analysis},
}

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%0 Conference Proceedings
%T Taguchi-based optimization technique for activated tungsten inert gas welding process
%A رضا وفادارنیا
%A شهروز یوسف زاده
%A Kolahan, Farhad
%J 30th annual international conference of the Iranian Society of Mechanical Engineers (ISME 2022)
%D 2022

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