High temperature constitutive relationship model of Ti40 alloy based on fuzzy-neural network

Yuan Fei Han, Wei Dong Zeng, Yong Qing Zhao, Ying Shu, Xue Min Zhang, Yi Gang Zhou

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The hot deformation characteristics of Ti40 alloy were studied in the temperature range of 900-1100°C, the maximum deformation degree of 60% and strain rate range of 0.01-10 s-1 with Gleeble 1500 thermal simulator. Based on the results obtained from experiment, a constitutive relationship model of Ti40 alloy was established by the fuzzy-neural network and compared with the experimental result. The results indicate that the method is feasible to construct a constitutive relationship model for this alloy and high in the degree of fitting, Simultaneously, the complicated nonlinear relationship of thermodynamic parameters can be well described by the network model, making up for the limitations which traditional regression cannot reflect the whole deformation process. This method is not only a wide prospect of application but also an effective way to establish the constitutive relationship model of titanium alloys.

Original languageEnglish
Pages (from-to)1971-1976
Number of pages6
JournalZhongguo Youse Jinshu Xuebao/Chinese Journal of Nonferrous Metals
Volume20
Issue number10
StatePublished - Oct 2010

Keywords

  • Constitutive relationship
  • Deformation behavior
  • Fuzzy-neural network
  • Ti40 alloy

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