TY - GEN
T1 - Optimization of P-GMAW parameters using Grey relational analysis and Taguchi method
AU - Jeyaganesh, D.
AU - Ziout, Aiman
AU - Qudeiri, Jaber Abu
N1 - Funding Information:
This research is funded through Space center grant in United Arab Emirates University, fund number: 31R205-Research Center-NSS -1-2018.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/5/13
Y1 - 2021/5/13
N2 - The aim of this study is to optimize the process parameters for Pulsed gas metal arc welding (P-GMAW) of dissimilar metal joints involving stainless steel 304 and low carbon steel. The research examined at a square butt joint between 2mm thick sheets welded using a P-GMAW process with 80 % Ar + 20% CO2 as shielding gas and deoxidizer wire of grade AWS ER70S-6 as filler material. The L9 Taguchi array was used for optimization, with the required quality characteristics being ultimate tensile strength and mass deposition rate of the resulting weld joint. Grey relational analysis and Taguchi optimization of P-GMAW process parameters such as weld current, wire feed rate and welding speed is performed at three levels. ANOVA was used to assess the impact of each factor. The best set of parameters was identified, were wire feed rate and weld current being the most significant variable and weld speed being the least influential. Bending distortion and buckling are observed on the weld plate and detailed analysis of distortion will be done in future.
AB - The aim of this study is to optimize the process parameters for Pulsed gas metal arc welding (P-GMAW) of dissimilar metal joints involving stainless steel 304 and low carbon steel. The research examined at a square butt joint between 2mm thick sheets welded using a P-GMAW process with 80 % Ar + 20% CO2 as shielding gas and deoxidizer wire of grade AWS ER70S-6 as filler material. The L9 Taguchi array was used for optimization, with the required quality characteristics being ultimate tensile strength and mass deposition rate of the resulting weld joint. Grey relational analysis and Taguchi optimization of P-GMAW process parameters such as weld current, wire feed rate and welding speed is performed at three levels. ANOVA was used to assess the impact of each factor. The best set of parameters was identified, were wire feed rate and weld current being the most significant variable and weld speed being the least influential. Bending distortion and buckling are observed on the weld plate and detailed analysis of distortion will be done in future.
KW - Dissimilar welding
KW - Distortion
KW - Grey relational analysis
KW - P-GMAW process
KW - Taguchi optimization
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U2 - 10.1109/ICMIMT52186.2021.9476176
DO - 10.1109/ICMIMT52186.2021.9476176
M3 - Conference contribution
AN - SCOPUS:85111057725
T3 - Proceedings of 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021
SP - 191
EP - 196
BT - Proceedings of 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IEEE International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021
Y2 - 13 May 2021 through 15 May 2021
ER -