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Application of fuzzy neural network to the intelligent control of blank-holding force

  • Rui Wang
  • , Xiaodan Zheng
  • , Yajun Luo
  • , Dannong He
  • , Wei Zhang
  • , Jun Li
  • Shanghai Jiao Tong University

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Fuzzy neural network based expert system was applied to the artificial intelligent control of blank-holding force (BHF) in sheet stamping process. The paper explains the construction of fuzzy neural network and the fuzzy neural network reasoning mechanism in detail. Main equipment of BHF test and optimal control system is introduced in detail, by which the rule of cup with flange forming process was studied.

Original languageEnglish
Pages (from-to)494-498+527
JournalNanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology
Volume25
Issue number5
StatePublished - Oct 2001
Externally publishedYes

Keywords

  • Fuzzy system
  • Neural network
  • Optimal control of blank-holding force

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