Journal of Failure Analysis and Prevention

, Volume 13, Issue 6, pp 771–778 | Cite as

Multi-objective Optimization of Sheet Metal Forming Die Using Genetic Algorithm Coupled with RSM and FEA

  • Parviz Kahhal
  • Seyed Yousef Ahmadi Brooghani
  • Hamed Deilami Azodi
Technical Article---Peer-Reviewed


Present study describes the approach of applying response surface methodology (RSM) with a Pareto-based multi-objective genetic algorithm to assist engineers in optimization of sheet metal forming. In many studies, finite element analysis and optimization technique have been integrated to solve the optimal process parameters of sheet metal forming by transforming multi-objective problem into a single-objective problem. This paper aims to minimize objective functions of fracture and wrinkle simultaneously. Design variables are blank-holding force and draw-bead geometrical parameters (length and diameter). RSM has been used for design of experiment and finding relationship between variables and objective functions. Forming limit diagram has been used to define objective functions. Finite element analysis applied for simulating the process. Proposed approach has been investigated on a fuel tank drawing part and it has been observed that it is more effective and accurate than traditional finite element analysis method and the “trial and error” procedure.


Multi-objective optimization Sheet metal forming Response surface model Pareto front Genetic algorithm Forming limit diagram 


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Copyright information

© ASM International 2013

Authors and Affiliations

  • Parviz Kahhal
    • 1
  • Seyed Yousef Ahmadi Brooghani
    • 1
  • Hamed Deilami Azodi
    • 2
  1. 1.Faculty of EngineeringUniversity of BirjandBirjandIran
  2. 2.Faculty of Mechanical EngineeringArak University of TechnologyArakIran

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