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
Format: Thesis
Language:English
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Online Access:http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61518/1/Page%201-24.pdf
http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61518/2/Full%20text.pdf
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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 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. Universiti Malaysia Perlis (UniMAP) 2015 Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/61518 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61518/1/Page%201-24.pdf 928ed062eb1094446cbc84575b5e42c3 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61518/2/Full%20text.pdf 2f23476442006ca6669d82c0c21e6923 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61518/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 Inert tungsten inert gas welding (TIG) Weldings TIG welding School of Manufacturing Engineering
institution Universiti Malaysia Perlis
collection UniMAP Institutional Repository
language English
advisor Prof. Dr. Bhuvanesh Rajamony
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.
format Thesis
author Liha, Lateng
author_facet 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
granting_institution Universiti Malaysia Perlis (UniMAP)
granting_department School of Manufacturing Engineering
url http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61518/1/Page%201-24.pdf
http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61518/2/Full%20text.pdf
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