Optimization of Dissimilar aluminum alloy by Friction stir welding Process Control variables with Multiple Objectives

Optimization of Dissimilar aluminum alloy by Friction stir welding Process Control variables with Multiple Objectives S.D. Kumar R. Pugazhenthi S. Ajith Arul Danial G. Swaminathan Abstract The progress of FSW has offered a different approach for fabricating superior class weld. This paper deals with optimization of process control variables influencing weld features in customized friction stir butt welding having multiple objectives of 6 mm thick dissimilar plates of AA7075 and AA6101 using Taguchi grey relational approach. The L27 orthogonal array has been employed to Obtain the experimental trails and the joints have been fabricated in a laboratory stage friction stir welding equipment by changing tool rotation speed, worktable translational speed, tool plunge force and tool pin shape. After welding, tensile and impact strength of the weld have been evaluated and found that optimum ultimate tensile strength of 129 Mpa., maximum yield strength of 119.21Mpa, maximum % of elongation 24.64% and impact strength 23Mpa simultaneously in FSW process variables of Tool rotation speed is 1200 rpm, transvers speed of 30 mm/min and axial force is at 5 kN. Based on the experimental results optimum levels of process control variables were obtained using grey relation rating and compared with confirmation test.
10 01 2021 012042 http://dx.doi.org/10.1088/crossmark-policy iopscience.iop.org Optimization of Dissimilar aluminum alloy by Friction stir welding Process Control variables with Multiple Objectives Journal of Physics: Conference Series paper Published under licence by IOP Publishing Ltd http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining 10.1088/1742-6596/2040/1/012042 https://iopscience.iop.org/article/10.1088/1742-6596/2040/1/012042 https://iopscience.iop.org/article/10.1088/1742-6596/2040/1/012042/pdf https://iopscience.iop.org/article/10.1088/1742-6596/2040/1/012042/pdf https://iopscience.iop.org/article/10.1088/1742-6596/2040/1/012042 https://iopscience.iop.org/article/10.1088/1742-6596/2040/1/012042/pdf Thomas 2020 Friction stir welding and processing, Material Science and Engineering: R: Reports Mishra 50 1 2005 10.1016/j.mser.2005.07.001 Welding Journal Knipstrom 76 55 1997 Friction stir welding process goes commercial Modelling and Simulation in Engineering Yunus 2018 1 2018 10.1155/2018/4183816 Mathematical Modelling of a Friction Stir Welding Process to Predict the Joint Strength of Two Dissimilar Aluminium Alloys Using Experimental Data and Genetic Programming Journal of Mechanical Engineering Mallipudi 68 195 2018 Optimization of Process Parameters for FSW of Al-Mg-Mn-Sc-Zr Alloy Using CCD And RSM International Journal of advances in Production and Mechanical Engineering Parikh 3 19 2017 Multi-Objective Optimization of FSW Process Parameter using MOORA method Nirma Univeristy Journal of Engineering and Technology Gupta 3 29 2014 Multi-Objective Optimization of Friction Stir Welding of Aluminium Alloy Using Grey Relation Analysis with Entropy Measurement Method Materials Research Shamsudeen 6 1 2018 Optimization of Multiple Performance Characteristics of Friction Stir Welded Joint with Grey Relational Analysis International Journal of Advanced Design and Manufacturing Technology Khaki 12 25 2019 Optimizing Friction Stir Welding Process for Enhancing Strength and Hardness using Taguchi Multi-Objective Function Method IOP Conference Series: Materials science and Engineering Vijayan 390 1 2018 10.1088/1757-899X/390/1/012087 Multi Objective Process Parameters Optimization of Friction Stir Welding using NSGA – II’ (MDPI) Materials Tamjidy 10 1 2017 Multi-Objective Optimization of Friction Stir Welding Process Parameters of AA6061-T6 and AA7075-T6 Using a Biogeography Based Optimization Algorithm Saudi Journal of Engineering and Technology Vijayan 2 2 2017 Optimization of friction stir welding process parameters using RSM based Grey-Fuzzy approach Procedia Engineering Palanivel 38 578 2012 10.1016/j.proeng.2012.06.072 Prediction and optimization of wear resistance of friction stir welded dissimilar aluminum alloy Journal of Welding and Joining Muhammad 38 493 10.5781/JWJ.2020.38.5.9 202 optimization of Friction Stir Welding Parameters of AA2014-T6 Alloy using Taguchi Statistical Approach Metals Asmare 10 1 2020 10.3390/met10111480 Experimental Investigation of Friction Stir Welding on 6061-T6 Aluminum Alloy using Taguchi-Based GRA