Multi Response Optimization of Process Parameters on AA8011 Friction Stir Welded Aluminium Alloys Using RSM Based GRA Coupled with DEA

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The friction stir welding process is the newly developed material joining process used to join the different materials which are very difficult to join in the conventional fusion welding process. In this investigation using the specially designed straight cam profiled tool, the multiple responses of Ultimate tensile strength, Ultimate yield strength and Percentage of elongation with the process parameters of rotational speed, tool tilt angle and feed rate are optimized. The five level, three factor rotatable central composite design is selected to optimize the responses of friction stir welded AA 8011 aluminium alloys. The highest gray relational grade with the highest relative efficiency is found using the gray relational analysis coupled with the data envelopment analysis to predict the optimum parameters. It exposes that at the rotational speed of 680 rpm, the tool tilt angle of 98 degrees and the feed rate of 24 mm/min the good weld quality can be attained.

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446-450

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November 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] K. Palani, C. Elanchezhian and G.B. Bhasker, Multi Response DEA-Based Taguchi Optimization of Process Parameters on AA8011 Friction Stir Welded Aluminium Alloys, Applied Mechanics and Materials, 766-767 (2015) 921-927.

DOI: 10.4028/www.scientific.net/amm.766-767.921

Google Scholar

[2] K. Kalaiselvan, N. Murugan, Role of friction stir welding parameters on tensile strength of AA6061−B4C composite joints, Transactions of Nonferrous Metals Society of China, 23(2013) 616−624.

DOI: 10.1016/s1003-6326(13)62507-8

Google Scholar

[3] M. Jayaraman, V. Balasubramanian, Effect of process parameters on tensile strength of friction stir welded cast A356 aluminium alloy joints, Transactions of Nonferrous Metals Society of China, 23(2013) 605−615.

DOI: 10.1016/s1003-6326(13)62506-6

Google Scholar

[4] Zhihua Song, Kazuhiro Nakata, Aiping Wu, Jinsun Liao, Li Zhou, Influence of probe offset distance on interfacial microstructure and mechanical properties of friction stir butt welded joint of Ti6Al4V and A6061 dissimilar alloys, Materials and Design, 57 (2014).

DOI: 10.1016/j.matdes.2013.12.040

Google Scholar

[5] C.W. Tan, Z.G. Jiang, L.Q. Li, Y.B. Chen, X.Y. Chen, Microstructural evolution and mechanical properties of dissimilar Al–Cu joints produced by friction stir welding, Materials and Design 51 (2013) 466–473.

DOI: 10.1016/j.matdes.2013.04.056

Google Scholar

[6] C. Elanchezhian, B. Vijaya Ramnath, R. Saisundararam, V. Ramanan, C.S. Siddarth, Investigating the Weld Strength of AA7075 Aluminium Alloy for TIG, MIG and FSW Welding, Applied Mechanics and Materials, 766-767 (2015) 727-732.

DOI: 10.4028/www.scientific.net/amm.766-767.727

Google Scholar

[7] Chih-Wei Tsai, Lee-Ing Tong, Chung-Ho Wang, Optimization of Multiple Responses Using Data Envelopment Analysis and Response Surface Methodology, Tamkang Journal of Science and Engineering, 13 (2010) 197-203.

Google Scholar

[8] Sanjit Moshat, Saurav Datta, Asish Bandyopadhyay Pradip Kumar Pal, Parametric optimization of CNC end milling using entropy measurement technique combined with grey-Taguchi method, International Journal of Engineering, Science and Technology, 2 (2010).

DOI: 10.4314/ijest.v2i2.59130

Google Scholar

[9] M. Koilraj, V. Sundareswaran, S. Vijayan, S.R. Koteswara Rao, Friction stir welding of dissimilar aluminum alloys AA2219 to AA5083 – Optimization of process parameters using Taguchi technique, Materials and Design 42 (2012) 1–7.

DOI: 10.1016/j.matdes.2012.02.016

Google Scholar

[10] V. Raj Kumar, M. Venkatesh Kannan, P. Sadeesh, Studies on effect of tool design and welding parameters on the friction stir welding of dissimilar aluminium alloys AA 5052 - AA 6061, Procedia Engineering 75 ( 2014 ) 93 – 97.

DOI: 10.1016/j.proeng.2013.11.019

Google Scholar