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

  • Menghan Wang (王梦寒)Email author
  • Guiqian Xiao (肖贵乾)
  • Jinqiang Wang (王晋强)
  • Zhi Li (李志)


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.

Key words

mechanical clinching optimization design genetic algorithm (GA) ductile damage 

CLC number

TG 938 

Document code


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Copyright information

© Shanghai Jiao Tong University and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Menghan Wang (王梦寒)
    • 1
    Email author
  • Guiqian Xiao (肖贵乾)
    • 1
  • Jinqiang Wang (王晋强)
    • 1
  • Zhi Li (李志)
    • 1
  1. 1.College of Materials Science and EngineeringChongqing UniversityChongqingChina

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