Expert system based on fuzzy neural network for the optimal control of blank holder force

  • R. Wang
  • , Y. J. Luo
  • , D. N. He
  • , D. Z. Wang
  • , J. Li
  • , W. Zhang

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The paper presented the function frame of fuzzy neural network based expert system for the optimized control of blank holder force and the functions of its central modules. The selection of fuzzy neural element, the construction of fuzzy neural network and the fuzzy neural network reasoning mechanism were explained. By pertinently selecting important input and output parameters of the fuzzy neural network in different variables of sheet forming process, the system successfully applied the fuzzy neural network based expert system to the optimal control of blank holder force, which actualized the artificial intelligence control of metal sheet drawing process.

Original languageEnglish
Pages (from-to)411-415
Number of pages5
JournalShanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University
Volume35
Issue number3
StatePublished - Mar 2001
Externally publishedYes

Keywords

  • Blank holding force
  • Expert system
  • Fuzzy neural network

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