Optimization of Friction Stir Spot Welding Parameters of Al6061T6 by Hybrid Approached
DOI:
https://doi.org/10.29194/NJES.26020131Keywords:
Friction Spot Welding, Hybrid Approach, Neural Network, Spider Optimization, Ultimate Force, Experiment RunAbstract
The most important way for joining the non-welding aluminum alloy is Friction stir spot welding. Three parameters effect on efficiency of welding: tool shape, rotational speed, and plunged time, are chosen to study for welding 6061T6 aluminum alloy. Each of the above parameters has three variables as: pin shapes (square, cylinder, and hexagonal), plunged time (50, 70,100) sec and rotational speeds (710, 1120, 1800) rpm hybrid approach which is consist of the experiment run, neural network and social spider optimization is used to optimize the welding conditions by finding the maximum ultimate force. The best condition of the weldments is (square, 710rpm, 100sec) with maximum shear force 4740N. The best results obtained from hybrid optimization with experimental results; with discrepancy of 2%.
Downloads
References
X. W. Yang, T. Fu, and W. Y. Li, " Friction Stir Spot Welding: A Review on Joint Macroand Microstructure, Property, and Process Modelling", Hindawi Publishing Corporation Advances in Materials Science and Engineering Volume 2014.
Thongchai Arunchai, Kawin Sonthipermpoon, Phisut Apichayakul, and Kreangsak Tamee, " Resistance Spot Welding Optimization Based on Artificial Neural Network", Hindawi Publishing Corporation International Journal of Manufacturing Engineering Volume 2014,
Yahya Bozkurt, and Mustafa Kemal Bilici, " Taguchi Optimization of Process Parameters in Friction Stir Spot Welding of AA5754 and AA2024 Alloys", Advanced Materials Research Vol 1016 (2014) pp 161-166
Saleh Alhetaa , Sayed Zayanb , Tamer Mahmoudc , Attia Gomaa, '' Optimization of Friction Stir Spot Welding Process Parameters for AA6061-T4 Aluminium Alloy Plates'', American Scientific Research Journal for Engineering, Technology, and Sciences (2016)
Basma A. Salama, E. H. Mansour , A. M. Gaafer,'' Optimization of Friction Stir Spot Welding Process Parameters on the Microstructure and Shear Load by Taguchi Method'', Engineering Research Journal (Erj)(2020)
Abbas K. Hussein , Laith K. Abbas, Ahmed A. Seger, '' Multi-Objective Optimization of Friction Stir Welding for Aluminum Alloy (2024-T3)", Engineering and Technology Journal (2020)
Muna Khethier Abbass , Sabah Kh Hussein and Ahmed Adnan Kudair, " Optimization and Characterization of Friction Stir Spot Welding of Aluminum Alloy (AA 5754-H114) with Pure Copper Sheet", IOP Conf. Series: Materials Science and Engineering (2021)
G. S. V. Seshu Kumar , Anshuman Kumar , S. Rajesh , Rama Bhadri Raju Chekuri , and Amsalu Gosu Adigo, " Experimental Investigation and Optimization on Friction Stir Welding of Nylon 6A Using Taguchi and ANOVA with Microstructural Analysis", Hindawi Advances in Materials Science and Engineering Volume 2021
Onur ER, Mustafa Kemal KÜLEKC, U?ur E?ME, Cem BO?A, "Multi Response Optimization of Friction Stir Spot Welding Process Using Taguchi Based Grey Relational Analysis", Cukurova University Journal of the Faculty of Engineering, June 2021.
C. S. Paglia ,"Deformation and Crystallization in a 7075-T651 Friction Stir Weld", World Academy of Science, Engineering and Technology International Journal of Mechanical and Materials Engineering Vol:15, No:2, 2021
Maha M. A. Lashin , Ali M. Al Samhan, Ahmed Badwelan and Muhammad Ijaz Khan," Control of Static and Dynamic Parameters by Fuzzy Controller to Optimize Friction Stir Spot Welding Strength", Coatings 2022.
Suriya Prasomthong, Apisit kaewchaloon, Sittichai Charoenrat, " Optimization of friction stir spot welding between aluminium alloys and titanium alloy by the Taguchi method", SNRU Journal of Science and Technology ( 2022 ).
P. S. Effertz, W. S. de Carvalho, R. P. M. Guimarães, G. Saria and S. T. Amancio-Filho, ''Optimization of Refill Friction Stir Spot Welded AA2024-T3 Using Machine Learning", Frontiers in Materials 2022
Raghuraj Panwar, Pankaj Chandna, "Experimental analysis of friction stir welded aviation grade AA8090 joints using Taguchi orthogonal array'', Aircraft Engineering and Aerospace Technology, Vol. 94 No. 7, pp. 1134-1143.2022
Jacek M. Zurada, Introduction to artificial neural systems, ISBN 0-3 14-93391 -3, 8 Copyright@1992
Kevin Gurney, An introduction to neural networks, e Taylor & Francis e-Library, British Library Cataloguing, ISBN 0-203-45151-1 Master e-book, Copyright © 2003/2004 Mobipocket.com.
ASM Handbook , Properties and Selection: Non-Ferrous Alloys and Special Purposes Materials, American Society for Metals, Vol. 2, (1992).
James J.Q. Yu, Victor O.K. Li, '' A social spider algorithm for global optimization'', Applied Soft Computing, 2015 Elsevier.
A. Luque-Chang, E. Cuevas, F. Fausto, D. Zald-var and M. Pérez, "Social Spider Optimization Algorithm: Modifications, Applications, and Perspectives", International Journal of Engineering Mathematical, Hindawi ,Vol. 2, Pp.1-29, 2018
Sameh F. Hasan, Hassan M. Alwan, " Design of Hybrid Controller for the Trajectory Tracking of Wheeled Mobile Robot with Mecanum Wheels", Journal of Mechanical Engineering Research and Developments, ISSN: 1024-1752,Vol. 43, No.5, pp.400-414, 2020
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Rasha Mohammed Hussein, Sameh Fareed Hasan, Ayad M. Takhakh, Mohsin Abdullah Al-Shammari
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The authors retain the copyright of their manuscript by submitting the work to this journal, and all open access articles are distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC-BY-NC 4.0), which permits use for any non-commercial purpose, distribution, and reproduction in any medium, provided that the original work is properly cited.
