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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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 |
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Universiti Malaysia Perlis |
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UniMAP Institutional Repository |
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English |
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Prof. Dr. Bhuvanesh Rajamony |
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Inert tungsten inert gas welding (TIG) Weldings TIG welding |
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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 |
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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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