Intelligent method to develop constitutive relationship of Ti-6Al-2Zr-1Mo-1V alloy

Yu Sun, Wei Dong Zeng, Yong Qing Zhao, Yuan Fei Han, Xiong Ma

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

The isothermal compression tests were carried out in the Thermecmastor-Z thermo-simulator at temperatures of 800, 850, 900, 950, 1000 and 1050 °C and the strain rates of 0.01, 0.1, 1 and 10 s -1. The influence of deformation temperature and strain rate on the flow stress of Ti-6Al-2Zr-1Mo-1V alloy was studied. Based on the experimental data sets, the high temperature deformation behavior of Ti-6Al-2Zr-1Mo-1V alloy was presented using the intelligent method of artificial neural network (ANN). The results indicate that the predicted flow stress values by ANN model is quite consistent with the experimental results, which implies that the artificial neural network is an effective tool for studying the hot deformation behavior of the present alloy. In addition, the development of graphical user interface is implemented using Visual Basic programming language.

Original languageEnglish
Pages (from-to)1457-1461
Number of pages5
JournalTransactions of Nonferrous Metals Society of China (English Edition)
Volume22
Issue number6
DOIs
StatePublished - Jun 2012

Keywords

  • Artificial neural network
  • Constitutive relationship
  • Deformation behavior
  • Ti-6Al-2Zr-1Mo-1V alloy

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