Development of an optimal process for friction stir welding based on GA-RSM hybrid algorithm
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...
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| Format: | Article |
| Language: | English |
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Gruppo Italiano Frattura
2018-03-01
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| Series: | Fracture and Structural Integrity |
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| Online Access: | https://www.fracturae.com/index.php/fis/article/view/2026 |
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| author | Nabi Mehri Khansari Filippo Berto Namdar Karimi S.M.N Ghoreishi Mahdi Fakoor Mozhgan Mokari |
| author_facet | Nabi Mehri Khansari Filippo Berto Namdar Karimi S.M.N Ghoreishi Mahdi Fakoor Mozhgan Mokari |
| author_sort | Nabi Mehri Khansari |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-db6dc95b46874fc48fb4db2dc2a867e7 |
| institution | Kabale University |
| issn | 1971-8993 |
| language | English |
| publishDate | 2018-03-01 |
| publisher | Gruppo Italiano Frattura |
| record_format | Article |
| series | Fracture and Structural Integrity |
| spelling | doaj-art-db6dc95b46874fc48fb4db2dc2a867e72024-12-02T05:42:35ZengGruppo Italiano FratturaFracture and Structural Integrity1971-89932018-03-011244Development of an optimal process for friction stir welding based on GA-RSM hybrid algorithmNabi Mehri Khansari0Filippo Berto1Namdar Karimi2S.M.N Ghoreishi3Mahdi Fakoor4Mozhgan Mokari5University of Tehran, IranNorwegian university of science and technology (NTNU), NorwayBabol University of Technology, IranUniversity of Tehran, IranUniversity of Tehran, IranSharif University of Technology, IranPerformance 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.https://www.fracturae.com/index.php/fis/article/view/2026Friction Stir Welding (FSW)Optimized mechanical propertiesGenetic Algorithm (GA)Response Surface Methodology (RSM) |
| spellingShingle | Nabi Mehri Khansari Filippo Berto Namdar Karimi S.M.N Ghoreishi Mahdi Fakoor Mozhgan Mokari Development of an optimal process for friction stir welding based on GA-RSM hybrid algorithm Fracture and Structural Integrity Friction Stir Welding (FSW) Optimized mechanical properties Genetic Algorithm (GA) Response Surface Methodology (RSM) |
| title | Development of an optimal process for friction stir welding based on GA-RSM hybrid algorithm |
| title_full | Development of an optimal process for friction stir welding based on GA-RSM hybrid algorithm |
| title_fullStr | Development of an optimal process for friction stir welding based on GA-RSM hybrid algorithm |
| title_full_unstemmed | Development of an optimal process for friction stir welding based on GA-RSM hybrid algorithm |
| title_short | Development of an optimal process for friction stir welding based on GA-RSM hybrid algorithm |
| title_sort | development of an optimal process for friction stir welding based on ga rsm hybrid algorithm |
| topic | Friction Stir Welding (FSW) Optimized mechanical properties Genetic Algorithm (GA) Response Surface Methodology (RSM) |
| url | https://www.fracturae.com/index.php/fis/article/view/2026 |
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