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Inverse technique identification of material parameters using finite element and neural network computation

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Abstract

Experimental identification of anisotropic behavior law is currently obtained by performing several complicated tests and a long duration of experiments. This paper describes a new technique allowing for the identification of HILL anisotropic parameters by inverse technique method based on deep drawing of a cylindrical cup. The identification approach is based on the artificial neural network (ANN) computation trained from finite element simulation. The results obtained by ANN models and by the finite element method shows a good agreement.

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Authors and Affiliations

  1. ENIM-LGM, Avenue Ibn El Jazzar, 5019, Monastir, Tunisia

    A. Chamekh & H. Bel Hadj Salah

  2. Polytech’ Orléans-LMSP/Prisme, 8, rue , Léonard de Vinci, 45072, Orléans Cedex 2, France

    R. Hambli

Authors
  1. A. Chamekh
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  2. H. Bel Hadj Salah
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  3. R. Hambli
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Correspondence to R. Hambli.

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Chamekh, A., Bel Hadj Salah, H. & Hambli, R. Inverse technique identification of material parameters using finite element and neural network computation. Int J Adv Manuf Technol 44, 173–179 (2009). https://doi.org/10.1007/s00170-008-1809-6

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  • DOI: https://doi.org/10.1007/s00170-008-1809-6

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