IDENTIFICATION OF GEOMETRIC PARAMETERS OF DRAWBEAD USING NEURAL NETWORKS

  • G.Y. Li
  • L.F. Han
  • X. Han
  • Z.H. Zhong
Conference paper

Abstract

In this paper, a neural network (NN) model was designated to identify the geometric parameters of drawbead in sheet forming processes. The genetic algorithm (GA) was used to determine the neuron numbers of the hidden layers of the neural network, and a sample design method with the strategy of updating training samples was also used for the convergence. The NN model goes through a progressive retraining process and the numerical study shows that this technique can give a good result of the parameter identification of drawbead.

Keywords

Strain Hardening 

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Copyright information

© Springer 2006

Authors and Affiliations

  • G.Y. Li
    • 1
  • L.F. Han
    • 1
    • 2
  • X. Han
    • 1
  • Z.H. Zhong
    • 1
  1. 1.Key Laboratory of Advanced Technology for Vehicle Body Design and Manufactory of M.O.E.Hunan UniversityChangshaChina
  2. 2.College of Mechanical EngineeringXiangtan UniversityXiangtanChina

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