In industrial settings, it is customary to employ at least a three-passes welding for 9.525 mm-thick welded samples, which results in increased angular distortion and longitudinal/transversal deformation. This study outlines the optimized welding parameters for a butt-welded joint V groove with a 60-degree bevel angle and a 2.5 mm root face, utilizing a single pass, on a 9.525 mm thick sample. The present investigation involved the development of a 3D computational model to examine the thermal characteristics and distortion distribution during the process of gas metal arc welding of the aluminium alloy 6061-T6. The present paper employed the Taguchi methodology to compute the thermal behaviour technique using orthogonal arrays, a well-established Design of Experiments (DOE) approach for finite element analysis (FEA). Additionally, an artificial neural network (ANN) model was employed to forecast distortion and stress. The study produced 3D surface graphs and contour plots to clarify the correlation between welding parameters, stress, and distortion. Following the determination of optimized parameters through finite element analysis (FEA), experimental tests were conducted to compare and validate the FEA outcomes. The present investigation has employed welding parameters, namely arc voltage (v), arc travel speed (mm/s), current (A), gun angle (degree), distance between the nozzle and weld (mm), and root gap (mm).
Published in | American Journal of Mechanical and Industrial Engineering (Volume 8, Issue 1) |
DOI | 10.11648/j.ajmie.20230801.12 |
Page(s) | 7-17 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2023. Published by Science Publishing Group |
Welding Parameters, Aluminum Alloy, Mechanical Properties, Distortion, Neural Modeling, Taguchi Method, Finite Element Analysis
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APA Style
Milad Bahrami, Michel Guillot. (2023). Finite Element Simulation to Optimize the Mechanical Properties and Deformation of the Bevel Joint of 9.25 mm Thick Aluminum 6061-T6 with only One Pass. American Journal of Mechanical and Industrial Engineering, 8(1), 7-17. https://doi.org/10.11648/j.ajmie.20230801.12
ACS Style
Milad Bahrami; Michel Guillot. Finite Element Simulation to Optimize the Mechanical Properties and Deformation of the Bevel Joint of 9.25 mm Thick Aluminum 6061-T6 with only One Pass. Am. J. Mech. Ind. Eng. 2023, 8(1), 7-17. doi: 10.11648/j.ajmie.20230801.12
AMA Style
Milad Bahrami, Michel Guillot. Finite Element Simulation to Optimize the Mechanical Properties and Deformation of the Bevel Joint of 9.25 mm Thick Aluminum 6061-T6 with only One Pass. Am J Mech Ind Eng. 2023;8(1):7-17. doi: 10.11648/j.ajmie.20230801.12
@article{10.11648/j.ajmie.20230801.12, author = {Milad Bahrami and Michel Guillot}, title = {Finite Element Simulation to Optimize the Mechanical Properties and Deformation of the Bevel Joint of 9.25 mm Thick Aluminum 6061-T6 with only One Pass}, journal = {American Journal of Mechanical and Industrial Engineering}, volume = {8}, number = {1}, pages = {7-17}, doi = {10.11648/j.ajmie.20230801.12}, url = {https://doi.org/10.11648/j.ajmie.20230801.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmie.20230801.12}, abstract = {In industrial settings, it is customary to employ at least a three-passes welding for 9.525 mm-thick welded samples, which results in increased angular distortion and longitudinal/transversal deformation. This study outlines the optimized welding parameters for a butt-welded joint V groove with a 60-degree bevel angle and a 2.5 mm root face, utilizing a single pass, on a 9.525 mm thick sample. The present investigation involved the development of a 3D computational model to examine the thermal characteristics and distortion distribution during the process of gas metal arc welding of the aluminium alloy 6061-T6. The present paper employed the Taguchi methodology to compute the thermal behaviour technique using orthogonal arrays, a well-established Design of Experiments (DOE) approach for finite element analysis (FEA). Additionally, an artificial neural network (ANN) model was employed to forecast distortion and stress. The study produced 3D surface graphs and contour plots to clarify the correlation between welding parameters, stress, and distortion. Following the determination of optimized parameters through finite element analysis (FEA), experimental tests were conducted to compare and validate the FEA outcomes. The present investigation has employed welding parameters, namely arc voltage (v), arc travel speed (mm/s), current (A), gun angle (degree), distance between the nozzle and weld (mm), and root gap (mm).}, year = {2023} }
TY - JOUR T1 - Finite Element Simulation to Optimize the Mechanical Properties and Deformation of the Bevel Joint of 9.25 mm Thick Aluminum 6061-T6 with only One Pass AU - Milad Bahrami AU - Michel Guillot Y1 - 2023/05/29 PY - 2023 N1 - https://doi.org/10.11648/j.ajmie.20230801.12 DO - 10.11648/j.ajmie.20230801.12 T2 - American Journal of Mechanical and Industrial Engineering JF - American Journal of Mechanical and Industrial Engineering JO - American Journal of Mechanical and Industrial Engineering SP - 7 EP - 17 PB - Science Publishing Group SN - 2575-6060 UR - https://doi.org/10.11648/j.ajmie.20230801.12 AB - In industrial settings, it is customary to employ at least a three-passes welding for 9.525 mm-thick welded samples, which results in increased angular distortion and longitudinal/transversal deformation. This study outlines the optimized welding parameters for a butt-welded joint V groove with a 60-degree bevel angle and a 2.5 mm root face, utilizing a single pass, on a 9.525 mm thick sample. The present investigation involved the development of a 3D computational model to examine the thermal characteristics and distortion distribution during the process of gas metal arc welding of the aluminium alloy 6061-T6. The present paper employed the Taguchi methodology to compute the thermal behaviour technique using orthogonal arrays, a well-established Design of Experiments (DOE) approach for finite element analysis (FEA). Additionally, an artificial neural network (ANN) model was employed to forecast distortion and stress. The study produced 3D surface graphs and contour plots to clarify the correlation between welding parameters, stress, and distortion. Following the determination of optimized parameters through finite element analysis (FEA), experimental tests were conducted to compare and validate the FEA outcomes. The present investigation has employed welding parameters, namely arc voltage (v), arc travel speed (mm/s), current (A), gun angle (degree), distance between the nozzle and weld (mm), and root gap (mm). VL - 8 IS - 1 ER -