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Optimal design of powder compaction processes via genetic algorithm technique

Khoei, A. R ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1016/j.finel.2010.05.004
  3. Abstract:
  4. In this paper, an optimal design is performed for powder die-pressing process based on the genetic algorithm approach. It includes the shape optimization of powder component, the optimal design of punch movements, and the friction optimization of powdertool interface. The genetic algorithm is employed to perform an optimal design based on a fixed-length vector of design variables. The technique is used to obtain the desired optimal compacted component by verifying the prescribed constraints. The numerical modeling of powder compaction simulation is applied based on a large deformation formulation, powder plasticity behavior, and frictional contact algorithm. A Lagrangian finite element formulation is employed for large powder deformations. A cap plasticity model is used in numerical simulation of nonlinear powder behavior. The influence of powdertool friction is simulated by a plasticity theory of friction to model sliding resistance at the powdertool interface. Finally, numerical examples are analyzed to demonstrate the feasibility of the proposed optimization algorithm for designing powder components in the forming process of powder compaction
  5. Keywords:
  6. Cap plasticity ; Genetic algorithm ; Large deformation ; Powder forming ; Cap plasticity model ; Contact friction ; Design variables ; Die-pressing ; Finite element formulations ; Forming process ; Frictional contact ; Genetic algorithm approach ; Lagrangian ; Large deformations ; Numerical example ; Numerical modeling ; Numerical simulation ; Optimal design ; Optimization algorithms ; Plasticity theory ; Powder behavior ; Powder compactions ; Powder deformation ; Sliding resistance ; Compaction ; Computer simulation ; Deformation ; Design ; Friction ; Genetic algorithms ; Optimal systems ; Plasticity ; Tribology ; Shape optimization
  7. Source: Finite Elements in Analysis and Design ; Volume 46, Issue 10 , 2010 , Pages 843-861 ; 0168874X (ISSN)
  8. URL: http://www.sciencedirect.com/science/article/pii/S0168874X10000855