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Design optimization of hot forming process of metal powders via the genetic algorithm technique

Khoei, A. R ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. Publisher: 2012
  3. Abstract:
  4. In this paper, a shape optimization technique is presented for hot isostatic pressing of metal powders based on the genetic algorithm approach. The GA technique is used to obtain the desired optimal compacted component by changing the boundaries of component and verifying the prescribed constraints. The coupled thermo-mechanical analysis of hot isostatic pressing is employed for metal powders during densification process. The numerical modeling of hot powder compaction simulation is performed based on the large deformation formulation, temperature-dependent cap plasticity model, and frictional contact algorithm. A modified cap plasticity model considering the temperature effects is used in numerical simulation of nonlinear behavior of metal powder. Finally, numerical example is analyzed to demonstrate the feasibility of the proposed optimization algorithm for designing powder component in the hot-forming process of powder compaction
  5. Keywords:
  6. Genetic algorithm ; Hot powder compaction ; Large deformation ; Modified cap plasticity ; Compaction ; Computer simulation ; Deformation ; Hot isostatic pressing ; Metal forming ; Numerical models ; Optimization ; Powder metals ; Shape optimization ; Cap plasticities ; Coupled thermo-mechanical ; Densification process ; Genetic algorithm approach ; Optimization algorithms ; Optimization techniques ; Powder compactions ; Temperature dependent ; Genetic algorithms
  7. Source: Steel Research International ; Volume SPL. ISSUE , 2012 , Pages 799-802 ; 16113683 (ISSN) ; 9783514007970 (ISBN)