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Optimization of Clinching Tools by Integrated Finite Element Model and Genetic Algorithm Approach

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Abstract

Clinching is a convenient and efficient cold forming process that can join two sheets without any additional part. This study establishes an intelligent system for optimizing the clinched joint. Firstly, a mathematical model which introduces the ductile damage constraint to prevent cracking during clinching process is proposed. Meanwhile, an optimization methodology and its corresponding computer program are developed by integrated finite element model (FEM) and genetic algorithm (GA) approach. Secondly, Al6061-T4 alloy sheets with a thickness of 1.4mm are used to verify this optimization system. The optimization program automatically acquires the largest axial strength which is approximately equal to 872N. Finally, sensitivity analysis is implemented, in which the influence of geometrical parameters of clinching tools on final joint strength is analyzed. The sensitivity analysis indicates the main parameters to influence joint strength, which is essential from an industrial point of view.

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Authors and Affiliations

  1. College of Materials Science and Engineering, Chongqing University, Chongqing, 400044, China

    Menghan Wang  (王梦寒), Guiqian Xiao  (肖贵乾), Jinqiang Wang  (王晋强) & Zhi Li  (李志)

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  1. Menghan Wang  (王梦寒)
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  2. Guiqian Xiao  (肖贵乾)
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  3. Jinqiang Wang  (王晋强)
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  4. Zhi Li  (李志)
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Corresponding author

Correspondence to Menghan Wang  (王梦寒).

Additional information

Foundation item: the Fundamental Research Funds for the Central Universities of China (No. CDJZR14130006)

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Wang, M., Xiao, G., Wang, J. et al. Optimization of Clinching Tools by Integrated Finite Element Model and Genetic Algorithm Approach. J. Shanghai Jiaotong Univ. (Sci.) 24, 262–272 (2019). https://doi.org/10.1007/s12204-018-1995-9

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  • DOI: https://doi.org/10.1007/s12204-018-1995-9

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