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

Mehri Khansari, N ; Sharif University of Technology | 2018

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  1. Type of Document: Article
  2. DOI: 10.3221/IGF-ESIS.44.09
  3. Publisher: Gruppo Italiano Frattura , 2018
  4. Abstract:
  5. 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. © 2018, Gruppo Italiano Frattura. All rights reserved
  6. Keywords:
  7. Friction stir welding (FSW) ; Genetic algorithm (GA) ; Optimized mechanical properties ; Response surface methodology (RSM) ; Aluminum alloys ; Friction ; Genetic algorithms ; Mechanical properties ; Research laboratories ; Surface properties ; Tribology ; Effective approaches ; Engineering applications ; Hybrid optimization method ; Mechanical behavior ; Response surface method ; Response surface methodology ; Solid-state process ; Friction stir welding
  8. Source: Frattura ed Integrita Strutturale ; Volume 12, Issue 44 , April , 2018 , Pages 106-122 ; 19718993 (ISSN)
  9. URL: https://www.fracturae.com/index.php/fis/article/view/2026