基于BP神经网络的Ti<sub>3</sub>Al基合金本构关系模型的建立

张小波; 王克鲁; 鲁世强; 宋昕

doi:10.15980/j.tzzz.2013.03.017

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基于BP神经网络的Ti₃Al基合金本构关系模型的建立
Modeling of Constitutive Relationship of Ti₃Al-based Alloy based on BP Neural Network
2013年33卷第3期页码：224-226
纸质出版日期： 2013 ，
DOI： 10.15980/j.tzzz.2013.03.017

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[1]张小波,王克鲁,鲁世强,宋昕.基于BP神经网络的Ti_3Al基合金本构关系模型的建立[J].特种铸造及有色合金,2013,33(03):224-226.

Zhang Xiaobo, Wang Kelu, Lu Shiqiang, et al. Modeling of Constitutive Relationship of Ti₃Al-based Alloy based on BP Neural Network[J]. Special Casting & Nonferrous Alloys, 2013,33(3):224-226.
[1]张小波,王克鲁,鲁世强,宋昕.基于BP神经网络的Ti_3Al基合金本构关系模型的建立[J].特种铸造及有色合金,2013,33(03):224-226. DOI： 10.15980/j.tzzz.2013.03.017.

Zhang Xiaobo, Wang Kelu, Lu Shiqiang, et al. Modeling of Constitutive Relationship of Ti₃Al-based Alloy based on BP Neural Network[J]. Special Casting & Nonferrous Alloys, 2013,33(3):224-226. DOI： 10.15980/j.tzzz.2013.03.017.

摘要

应用THERMECMASTER-Z型热模拟试验机对Ti3Al基合金进行等温恒应变速率压缩试验

在变形温度为950～1350℃、应变速率为0.001～10s-1、最大真应变为1.2下获得流动应力数据。采用流动应力数据

并基于BP神经网络方法

建立了该合金的高温本构关系模型。结果表明

BP神经网络建立的高温本构关系模型具有很高的预测精度

可用于指导Ti3Al基合金热变形过程的有限元模拟和热加工工艺的制定

为本构关系模型的建立提供了一种准确有效的方法。

Abstract

The hot deformation tests were conducted for Ti3Al-based alloy by THERMECMASTER-Z thermal simulator.The flow stress data was obtained at temperatures of 950

350 ℃

strain rates of 0.001

0 s-1 and maximum true strain of 1.2.According to the characteristic of empirical data and the theory of BP neural network

modeling of the high temperature constitutive relationship of Ti3Al-based alloy was built up.The results show that the constitutive relationship model of BP neural network exhibits a higher prediction accuracy

which can be used to FEM simulation of Ti3Al alloy during thermal deformation process and to guide the hot working process.