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Prediction and research of bending rebound based on neural network

ZEMIN FU1,* , BINGKUN HU1

Affiliation

  1. School of Mechanical Engineering, Shanghai Institute of Technology, Shanghai, P.R. China

Abstract

There is a common problem about rebound in the process of bending forming. It has a significant effect on Dimensional accuracy and productivity of parts. In this paper, the rebound prediction and research mainly through the BP neural network nonlinear characteristics. But the BP network is easy to fall into local minimum, and the genetic algorithm has good global search capability, so you can use the genetic algorithm to optimize its weights and thresholds to achieve a perfect bending rebound prediction and research..

Keywords

Rebound, BP network, Genetic algorithm, The rebound prediction.

Citation

ZEMIN FU, BINGKUN HU, Prediction and research of bending rebound based on neural network, Optoelectronics and Advanced Materials - Rapid Communications, 9, 7-8, July-August 2015, pp.1028-1031 (2015).

Submitted at: Sept. 26, 2014

Accepted at: June 24, 2015