Study of the weld pool shape variations with the welding parameters for optimization under tig welding process

This study investigated the multi-response optimization of tungsten inert gas welding (TIG) process for an optimal parametric combination to yield favourable weld pool shape of welded joints using the Taguchi and Grey relational analysis method. Four experimental runs based on L4(23) orthogonal arr...

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Main Author: Liha, Lateng
Other Authors: Prof. Dr. Bhuvanesh Rajamony
Format: Thesis
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2019
Subjects:
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/61518
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spelling my.unimap-615182019-08-21T07:00:12Z Study of the weld pool shape variations with the welding parameters for optimization under tig welding process Liha, Lateng Prof. Dr. Bhuvanesh Rajamony Inert tungsten inert gas welding (TIG) Weldings TIG welding This study investigated the multi-response optimization of tungsten inert gas welding (TIG) process for an optimal parametric combination to yield favourable weld pool shape of welded joints using the Taguchi and Grey relational analysis method. Four experimental runs based on L4(23) orthogonal array of Taguchi method were performed to derive the desire objective function to be optimised within experimental domain correspond to the number of parameters and their levels which is welding current (amp), gas flow rate (l/min), and tungsten stickout (mm). The objectives function have been selected in relation to parameters of TIG welding weld pool shape or weld bead geometry i.e. weld bead height and weld bead width of material austenitic 302 stainless steel with 3 mm thickness. The Taguchi approached followed by Grey relational analysis used to solve the multi-response optimization problem. Result based on this method shows that the optimised process combination parameter for TIG welding process are welding current at level 2 (185 amp), gas flow rate at level 1 (10 l/min), and tungsten stickout at level 1 (3 mm). The significance of the factors on overall quality characteristics of the weldment has also been evaluated quantitatively by the analysis of variance (ANOVA). Based on the ANOVA it shows that welding current is the most significant factor with 0.948341, followed by tungsten stickout (0.039414) and gas flow rate (0.012245). Optimal result have been verified through additional experiments. The conformation test indicates the grey relational grade is improved to the significant value of 0.338903. 2019-08-21T07:00:12Z 2019-08-21T07:00:12Z 2015 Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/61518 en Universiti Malaysia Perlis (UniMAP) School of Manufacturing Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Inert tungsten inert gas welding (TIG)
Weldings
TIG welding
spellingShingle Inert tungsten inert gas welding (TIG)
Weldings
TIG welding
Liha, Lateng
Study of the weld pool shape variations with the welding parameters for optimization under tig welding process
description This study investigated the multi-response optimization of tungsten inert gas welding (TIG) process for an optimal parametric combination to yield favourable weld pool shape of welded joints using the Taguchi and Grey relational analysis method. Four experimental runs based on L4(23) orthogonal array of Taguchi method were performed to derive the desire objective function to be optimised within experimental domain correspond to the number of parameters and their levels which is welding current (amp), gas flow rate (l/min), and tungsten stickout (mm). The objectives function have been selected in relation to parameters of TIG welding weld pool shape or weld bead geometry i.e. weld bead height and weld bead width of material austenitic 302 stainless steel with 3 mm thickness. The Taguchi approached followed by Grey relational analysis used to solve the multi-response optimization problem. Result based on this method shows that the optimised process combination parameter for TIG welding process are welding current at level 2 (185 amp), gas flow rate at level 1 (10 l/min), and tungsten stickout at level 1 (3 mm). The significance of the factors on overall quality characteristics of the weldment has also been evaluated quantitatively by the analysis of variance (ANOVA). Based on the ANOVA it shows that welding current is the most significant factor with 0.948341, followed by tungsten stickout (0.039414) and gas flow rate (0.012245). Optimal result have been verified through additional experiments. The conformation test indicates the grey relational grade is improved to the significant value of 0.338903.
author2 Prof. Dr. Bhuvanesh Rajamony
author_facet Prof. Dr. Bhuvanesh Rajamony
Liha, Lateng
format Thesis
author Liha, Lateng
author_sort Liha, Lateng
title Study of the weld pool shape variations with the welding parameters for optimization under tig welding process
title_short Study of the weld pool shape variations with the welding parameters for optimization under tig welding process
title_full Study of the weld pool shape variations with the welding parameters for optimization under tig welding process
title_fullStr Study of the weld pool shape variations with the welding parameters for optimization under tig welding process
title_full_unstemmed Study of the weld pool shape variations with the welding parameters for optimization under tig welding process
title_sort study of the weld pool shape variations with the welding parameters for optimization under tig welding process
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2019
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/61518
_version_ 1643806649239994368
score 13.214268