尤雪磊,华建社,姚渭,刘莹莹,李洁,王坤

• 1:西安建筑科技大学冶金工程学院
• 2:中国石油天然气管道工程有限公司土建室

摘要(Abstract)：

采用Gleeble3500热模拟试验机,对经过连续变断面循环挤压制备的细晶TC4钛合金进行热模拟压缩,采用的变形温度为750~950℃,应变速率为0.001~10 s-1,变形程度为60%。根据实验所得应力—应变曲线采用Arrhenius方程和BP人工神经网络分别建立了经连续变断面循环挤压制备的细晶TC4钛合金的本构方程,并计算了两种本构方程的预测值与实验值的相关度和相对误差。结果表明,BP人工神经网络模型预测值更加精确,比较适合经连续变断面循环挤压制备的细晶TC4钛合金流动应力的数值模拟。

关键词(KeyWords)： 连续变断面循环挤压;TC4钛合金;Arrhenius方程;人工神经网络模型

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金(51101116)

作者(Author): 尤雪磊,华建社,姚渭,刘莹莹,李洁,王坤

DOI: 10.13289/j.issn.1009-6264.2015.08.041

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