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Communication Dans Un Congrès Année : 2013

Springback assessment based on level set interpolation and shape manifolds in deep drawing

Balaji Raghavan
Piotr Breitkopf
  • Fonction : Auteur
Alain Rassineux
  • Fonction : Auteur
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  • IdRef : 078450705
Pierre Villon
  • Fonction : Auteur
Jean-Marc Roelandt
  • Fonction : Auteur

Résumé

In this paper, we introduce an original shape representation approach for automatic springback characterization. It is based on the generation of parameterized Level Set functions. The central idea is the concept of the shape manifold representing the design domain in the reduced-order shape-space. Performing Proper Orthogonal Decomposition on the shapes followed by using the Diffuse Approximation allows us to efficiently reduce the problem dimensionality and to interpolate uniquely between admissible input shapes, while also determining the smallest number of parameters needed to characterize the final formed shape. We apply this methodology to the problem of springback assessment for the deep drawing operation of metal sheets.

Dates et versions

hal-00984418 , version 1 (28-04-2014)

Identifiants

Citer

Guenhael Le Quilliec, Balaji Raghavan, Piotr Breitkopf, Alain Rassineux, Pierre Villon, et al.. Springback assessment based on level set interpolation and shape manifolds in deep drawing. NUMISHEET 2014: The 9th International Conference and Workshop on Numerical Simulation of 3D Sheet Metal Forming Processes, Jan 2014, Melbourne, Australia. pp.748-751, ⟨10.1063/1.4850079⟩. ⟨hal-00984418⟩
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