Reproducing Kernel particle method in plasticity of pressure-sensitive material with reference to powder forming process

Khoei, A. R ; Sharif University of Technology | 2007

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  1. Type of Document: Article
  2. DOI: 10.1007/s00466-005-0022-9
  3. Publisher: Springer Verlag , 2007
  4. Abstract:
  5. In this paper, an application of the reproducing kernel particle method (RKPM) is presented in plasticity behavior of pressure-sensitive material. The RKPM technique is implemented in large deformation analysis of powder compaction process. The RKPM shape function and its derivatives are constructed by imposing the consistency conditions. The essential boundary conditions are enforced by the use of the penalty approach. The support of the RKPM shape function covers the same set of particles during powder compaction, hence no instability is encountered in the large deformation computation. A double-surface plasticity model is developed in numerical simulation of pressure-sensitive material. The plasticity model includes a failure surface and an elliptical cap, which closes the open space between the failure surface and hydrostatic axis. The moving cap expands in the stress space according to a specified hardening rule. The cap model is presented within the framework of large deformation RKPM analysis in order to predict the non-uniform relative density distribution during powder die pressing. Numerical computations are performed to demonstrate the applicability of the algorithm in modeling of powder forming processes and the results are compared to those obtained from finite element simulation to demonstrate the accuracy of the proposed model. © Springer Verlag 2006
  6. Keywords:
  7. Adhesives ; Boundary conditions ; Compaction ; Computer simulation ; Deformation ; Finite element method ; Powders ; Double surface plasticity ; Meshfree method ; Powder compaction ; Reproducing kernel particle method (RKPM) ; Plasticity
  8. Source: Computational Mechanics ; Volume 39, Issue 3 , 2007 , Pages 247-270 ; 01787675 (ISSN)
  9. URL: https://link.springer.com/article/10.1007%2Fs00466-005-0022-9