Self-adaptive prediction of microstructure and performance after forging with die

  • Miaoquan Li
  • , Xingquan Zhang
  • , Xuemei Liu
  • , Shidun Wu
  • , Fanchang Zeng
  • , Zhengshan Cui

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The present situation and future development of the optimization of forging process and process parameters, the prediction of microstructure, performance of forgings were summarized. A fuzzy neural network model has been proposed as a new technique used to predict the microstructure and performance of the forgings and optimize the process parameters. This will ensure the quality of forgings, decrease the material consumption and increase the productivity.

Original languageEnglish
Pages (from-to)42-45
Number of pages4
JournalCailiao Gongcheng/Journal of Materials Engineering
Issue number1
StatePublished - 1998

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