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Multi-objective optimization of friction stir welding process parameters of AA6061-T6 and AA7075-T6 using a biogeography based optimization algorithm

The development of Friction Stir Welding (FSW) has provided an alternative approach for producing high-quality welds, in a fast and reliable manner. This study focuses on the mechanical properties of the dissimilar friction stir welding of AA6061-T6 and AA7075-T6 aluminum alloys. The FSW process par...

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Main Authors: Tamjidy, Mehran, Baharudin, B. T. Hang Tuah, Paslar, Shahla, Matori, Khamirul Amin, Sulaiman, Shamsuddin, Fadaeifard, Firouz
Format: Article
Language:English
Published: MDPI 2017
Online Access:http://psasir.upm.edu.my/id/eprint/43947/1/materials-10-00533.pdf
http://psasir.upm.edu.my/id/eprint/43947/
http://www.mdpi.com/1996-1944/10/5/533
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spelling my.upm.eprints.439472018-08-13T02:20:13Z http://psasir.upm.edu.my/id/eprint/43947/ Multi-objective optimization of friction stir welding process parameters of AA6061-T6 and AA7075-T6 using a biogeography based optimization algorithm Tamjidy, Mehran Baharudin, B. T. Hang Tuah Paslar, Shahla Matori, Khamirul Amin Sulaiman, Shamsuddin Fadaeifard, Firouz The development of Friction Stir Welding (FSW) has provided an alternative approach for producing high-quality welds, in a fast and reliable manner. This study focuses on the mechanical properties of the dissimilar friction stir welding of AA6061-T6 and AA7075-T6 aluminum alloys. The FSW process parameters such as tool rotational speed, tool traverse speed, tilt angle, and tool offset influence the mechanical properties of the friction stir welded joints significantly. A mathematical regression model is developed to determine the empirical relationship between the FSW process parameters and mechanical properties, and the results are validated. In order to obtain the optimal values of process parameters that simultaneously optimize the ultimate tensile strength, elongation, and minimum hardness in the heat affected zone (HAZ), a metaheuristic, multi objective algorithm based on biogeography based optimization is proposed. The Pareto optimal frontiers for triple and dual objective functions are obtained and the best optimal solution is selected through using two different decision making techniques, technique for order of preference by similarity to ideal solution (TOPSIS) and Shannon’s entropy. MDPI 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/43947/1/materials-10-00533.pdf Tamjidy, Mehran and Baharudin, B. T. Hang Tuah and Paslar, Shahla and Matori, Khamirul Amin and Sulaiman, Shamsuddin and Fadaeifard, Firouz (2017) Multi-objective optimization of friction stir welding process parameters of AA6061-T6 and AA7075-T6 using a biogeography based optimization algorithm. Materials, 10 (5). art. no. 533. pp. 1-19. ISSN 1996-1944 http://www.mdpi.com/1996-1944/10/5/533 10.3390/ma10050533
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The development of Friction Stir Welding (FSW) has provided an alternative approach for producing high-quality welds, in a fast and reliable manner. This study focuses on the mechanical properties of the dissimilar friction stir welding of AA6061-T6 and AA7075-T6 aluminum alloys. The FSW process parameters such as tool rotational speed, tool traverse speed, tilt angle, and tool offset influence the mechanical properties of the friction stir welded joints significantly. A mathematical regression model is developed to determine the empirical relationship between the FSW process parameters and mechanical properties, and the results are validated. In order to obtain the optimal values of process parameters that simultaneously optimize the ultimate tensile strength, elongation, and minimum hardness in the heat affected zone (HAZ), a metaheuristic, multi objective algorithm based on biogeography based optimization is proposed. The Pareto optimal frontiers for triple and dual objective functions are obtained and the best optimal solution is selected through using two different decision making techniques, technique for order of preference by similarity to ideal solution (TOPSIS) and Shannon’s entropy.
format Article
author Tamjidy, Mehran
Baharudin, B. T. Hang Tuah
Paslar, Shahla
Matori, Khamirul Amin
Sulaiman, Shamsuddin
Fadaeifard, Firouz
spellingShingle Tamjidy, Mehran
Baharudin, B. T. Hang Tuah
Paslar, Shahla
Matori, Khamirul Amin
Sulaiman, Shamsuddin
Fadaeifard, Firouz
Multi-objective optimization of friction stir welding process parameters of AA6061-T6 and AA7075-T6 using a biogeography based optimization algorithm
author_facet Tamjidy, Mehran
Baharudin, B. T. Hang Tuah
Paslar, Shahla
Matori, Khamirul Amin
Sulaiman, Shamsuddin
Fadaeifard, Firouz
author_sort Tamjidy, Mehran
title Multi-objective optimization of friction stir welding process parameters of AA6061-T6 and AA7075-T6 using a biogeography based optimization algorithm
title_short Multi-objective optimization of friction stir welding process parameters of AA6061-T6 and AA7075-T6 using a biogeography based optimization algorithm
title_full Multi-objective optimization of friction stir welding process parameters of AA6061-T6 and AA7075-T6 using a biogeography based optimization algorithm
title_fullStr Multi-objective optimization of friction stir welding process parameters of AA6061-T6 and AA7075-T6 using a biogeography based optimization algorithm
title_full_unstemmed Multi-objective optimization of friction stir welding process parameters of AA6061-T6 and AA7075-T6 using a biogeography based optimization algorithm
title_sort multi-objective optimization of friction stir welding process parameters of aa6061-t6 and aa7075-t6 using a biogeography based optimization algorithm
publisher MDPI
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/43947/1/materials-10-00533.pdf
http://psasir.upm.edu.my/id/eprint/43947/
http://www.mdpi.com/1996-1944/10/5/533
_version_ 1643833716047347712
score 13.211869

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