Fracture and Structural Integrity e-ISSN 1971-8993 Open access
Miscellanea Vol. 12, No. 44 (2018)

Development of an optimal process for friction stir welding based on GA-RSM hybrid algorithm

Author and affiliation details
  • Nabi Mehri Khansari Corresponding author University of Tehran, Iran nabi_mehri@ut.ac.ir
  • Filippo Berto Norwegian university of science and technology (NTNU), Norway
  • Namdar Karimi Babol University of Technology, Iran
  • S.M.N Ghoreishi University of Tehran, Iran
  • Mahdi Fakoor University of Tehran, Iran
  • Mozhgan Mokari Sharif University of Technology, Iran
DOI
10.3221/IGF-ESIS.44.09
Pages
106-122
Published

Abstract

Performance of Friction Stir Welding (FSW) as a solid-state process is approved in several engineering applications, especially aluminum industries. Identification of mechanical behavior of the associated welded zone is necessary due to these extensive applications of FSW. In this study, considering the effect of rotational and forward speed of welding tool on the mechanical properties of welded region, a hybrid optimization method based on combination of Genetic Algorithm (GA) and Response Surface Method (RSM) named here as GA-RSM is proposed to achieve maximum tensile and ultimate strength. The results of GA-RSM are validated by per-forming necessary experimental tests on two wide-used 2024 and 5050 aluminum alloys. The results show that GA-RSM could be an effective approach to achieve optimized process for FSW with minimum cost.

Keywords

Article history

  1. ReceivedUntil the next stage: 5 days
  2. AcceptedUntil the next stage: 33 days
  3. Published

How to cite

APA

Mehri Khansari, N., Berto, F., Karimi, N., Ghoreishi, S., Fakoor, M., & Mokari, M. (2018). Development of an optimal process for friction stir welding based on GA-RSM hybrid algorithm. Fracture and Structural Integrity, 12(44), 106–122. https://doi.org/10.3221/IGF-ESIS.44.09

IEEE

N. Mehri Khansari, F. Berto, N. Karimi, S. Ghoreishi, M. Fakoor, and M. Mokari, “Development of an optimal process for friction stir welding based on GA-RSM hybrid algorithm,” Fracture and Structural Integrity, vol. 12, no. 44, pp. 106–122, 2018, doi: 10.3221/IGF-ESIS.44.09.

MLA

Mehri Khansari, Nabi, et al. “Development of an optimal process for friction stir welding based on GA-RSM hybrid algorithm.” Fracture and Structural Integrity, vol. 12, no. 44, 2018, pp. 106–122. https://doi.org/10.3221/IGF-ESIS.44.09.

Chicago

Mehri Khansari, Nabi, Filippo Berto, Namdar Karimi, S.M.N Ghoreishi, Mahdi Fakoor, and Mozhgan Mokari. 2018. “Development of an optimal process for friction stir welding based on GA-RSM hybrid algorithm.” Fracture and Structural Integrity 12 (44): 106–122. https://doi.org/10.3221/IGF-ESIS.44.09.

Harvard

Mehri Khansari, N., Berto, F., Karimi, N., Ghoreishi, S., Fakoor, M. and Mokari, M. (2018) ‘Development of an optimal process for friction stir welding based on GA-RSM hybrid algorithm’, Fracture and Structural Integrity, 12(44), pp. 106–122. doi: 10.3221/IGF-ESIS.44.09.

Vancouver

Mehri Khansari N, Berto F, Karimi N, Ghoreishi S, Fakoor M, Mokari M. Development of an optimal process for friction stir welding based on GA-RSM hybrid algorithm. Fracture and Structural Integrity. 2018;12(44):106-122. doi:10.3221/IGF-ESIS.44.09

BibTeX

@article{mehrikhansari2018, author = {Mehri Khansari, Nabi and Berto, Filippo and Karimi, Namdar and Ghoreishi, S.M.N and Fakoor, Mahdi and Mokari, Mozhgan}, title = {Development of an optimal process for friction stir welding based on GA-RSM hybrid algorithm}, journal = {Fracture and Structural Integrity}, year = {2018}, volume = {12}, number = {44}, pages = {106--122}, doi = {10.3221/IGF-ESIS.44.09}, url = {https://doi.org/10.3221/IGF-ESIS.44.09}, issn = {1971-8993} }

RIS

TY - JOUR AU - Mehri Khansari, Nabi AU - Berto, Filippo AU - Karimi, Namdar AU - Ghoreishi, S.M.N AU - Fakoor, Mahdi AU - Mokari, Mozhgan TI - Development of an optimal process for friction stir welding based on GA-RSM hybrid algorithm JO - Fracture and Structural Integrity T2 - Fracture and Structural Integrity PY - 2018 DA - 2018/03/26 VL - 12 IS - 44 SP - 106 EP - 122 DO - 10.3221/IGF-ESIS.44.09 UR - https://doi.org/10.3221/IGF-ESIS.44.09 SN - 1971-8993 ER -

Licence

Copyright © 2018 Nabi Mehri Khansari, Filippo Berto, Namdar Karimi, S.M.N Ghoreishi, Mozhgan Mokari.

Copyright 
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