Welding parameter optimization using Taguchi method and Grey Relational Analysis for Gas Metal Arc Welding A1008 butt-joint
Gas Metal Arc Welding (GMAW) is one of the most important metal joint processes in metal fabrication industries. In this technique and all types of welding process, the optimal selection of welding parameter is vital in achieving high quality joints. In this study, welding current, welding voltage a...
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| Format: | Thesis |
| Language: | English |
| Published: |
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/56060/ http://psasir.upm.edu.my/id/eprint/56060/1/FK%202013%2081RR.pdf |
| _version_ | 1848852976167288832 |
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| author | Mattar, Zainal Abidin Shah |
| author_facet | Mattar, Zainal Abidin Shah |
| author_sort | Mattar, Zainal Abidin Shah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Gas Metal Arc Welding (GMAW) is one of the most important metal joint processes in metal fabrication industries. In this technique and all types of welding process, the optimal selection of welding parameter is vital in achieving high quality joints. In this study, welding current, welding voltage and welding speed are selected as welding parameter specifications. Orthogonal array of Taguchi method were performed to drive the objective function in relation to parameter of weld joint strength and then followed by Grey Relational Analysis (GRA) to solve the multi-response optimization problem. The results then were verified to check the quality using Analysis of Variance (ANOVA). The Finite Element Analysis (FEA) of residual stresses in butt-joint of two welding parameter is performed with ANSYS software and the optimum welding parameters gained from optimization was used in this study. A moving heat source model based on Goldak’s double-ellipsoid heat flux distribution is presented. The residual stresses have been calculated and the result showed that optimum welding parameters reach a value of 266 MPa and increase to value of 270 MPa for non-optimum welding parameter. The residual stress distribution and magnitude in the axial direction was obtained and the results show good agreement between the optimum and non-optimum welding process parameter. |
| first_indexed | 2025-11-15T10:46:38Z |
| format | Thesis |
| id | upm-56060 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:46:38Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-560602017-07-20T02:48:44Z http://psasir.upm.edu.my/id/eprint/56060/ Welding parameter optimization using Taguchi method and Grey Relational Analysis for Gas Metal Arc Welding A1008 butt-joint Mattar, Zainal Abidin Shah Gas Metal Arc Welding (GMAW) is one of the most important metal joint processes in metal fabrication industries. In this technique and all types of welding process, the optimal selection of welding parameter is vital in achieving high quality joints. In this study, welding current, welding voltage and welding speed are selected as welding parameter specifications. Orthogonal array of Taguchi method were performed to drive the objective function in relation to parameter of weld joint strength and then followed by Grey Relational Analysis (GRA) to solve the multi-response optimization problem. The results then were verified to check the quality using Analysis of Variance (ANOVA). The Finite Element Analysis (FEA) of residual stresses in butt-joint of two welding parameter is performed with ANSYS software and the optimum welding parameters gained from optimization was used in this study. A moving heat source model based on Goldak’s double-ellipsoid heat flux distribution is presented. The residual stresses have been calculated and the result showed that optimum welding parameters reach a value of 266 MPa and increase to value of 270 MPa for non-optimum welding parameter. The residual stress distribution and magnitude in the axial direction was obtained and the results show good agreement between the optimum and non-optimum welding process parameter. 2013-10 Thesis NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/56060/1/FK%202013%2081RR.pdf Mattar, Zainal Abidin Shah (2013) Welding parameter optimization using Taguchi method and Grey Relational Analysis for Gas Metal Arc Welding A1008 butt-joint. Masters thesis, Universiti Putra Malaysia. Gas metal arc welding Finite element method Analysis of variance |
| spellingShingle | Gas metal arc welding Finite element method Analysis of variance Mattar, Zainal Abidin Shah Welding parameter optimization using Taguchi method and Grey Relational Analysis for Gas Metal Arc Welding A1008 butt-joint |
| title | Welding parameter optimization using Taguchi method and Grey Relational Analysis for Gas Metal Arc Welding A1008 butt-joint |
| title_full | Welding parameter optimization using Taguchi method and Grey Relational Analysis for Gas Metal Arc Welding A1008 butt-joint |
| title_fullStr | Welding parameter optimization using Taguchi method and Grey Relational Analysis for Gas Metal Arc Welding A1008 butt-joint |
| title_full_unstemmed | Welding parameter optimization using Taguchi method and Grey Relational Analysis for Gas Metal Arc Welding A1008 butt-joint |
| title_short | Welding parameter optimization using Taguchi method and Grey Relational Analysis for Gas Metal Arc Welding A1008 butt-joint |
| title_sort | welding parameter optimization using taguchi method and grey relational analysis for gas metal arc welding a1008 butt-joint |
| topic | Gas metal arc welding Finite element method Analysis of variance |
| url | http://psasir.upm.edu.my/id/eprint/56060/ http://psasir.upm.edu.my/id/eprint/56060/1/FK%202013%2081RR.pdf |