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

科研成果: 期刊稿件文章同行评审

7 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)1457-1461
页数5
期刊Transactions of Nonferrous Metals Society of China (English Edition)
22
6
DOI
出版状态已出版 - 6月 2012

指纹

探究 'Intelligent method to develop constitutive relationship of Ti-6Al-2Zr-1Mo-1V alloy' 的科研主题。它们共同构成独一无二的指纹。

引用此