摘要
利用Gleeble-1500D热模拟机对B10铜合金进行热压缩实验,研究了该合金在高温塑性变形过程中的流变应力行为。实验温度为800~950℃,应变速率为0.1~15s-1。研究结果表明,B10铜合金的流变应力随着变形温度的增加而减小,随着应变速率的增大而增大。基于BP神经网络建立了该合金的本构关系模型,预测值与实验值对比表明BP神经网络具有很高的预测精度,所建立的本构模型平均相对误差在1%以内。该模型能够客观真实地描述B10铜合金的高温塑性变形行为,为该合金热变形分析提供基础。
The hot compression test has been conducted to B10 copper alloy by use of Gleeble-1500D simula- tor under temperature range from 800℃ to 950℃ andstrain rate range from 0.1s-1 to 15s-l. The flow stress behavior of this alloyduring plastic deformation at elevated temperature has been studied. The experimental re- sults show that the flow stress of B10 copper alloy decreases with the increase of deformation temperature but enhances with the increase of the stain rate. The constitutive relationship model has been built to this alloy on the basis of BP neural network. By comparison between the predicted value with the experiment value, it is shown that BP neural network has high prediction accuracy. The average relative error of the constitutive model is less than 1%. This model can objectively and truly describe the plastic deformation behavior of the B10 copper alloy at high temperature. It provides basis for hot deformation analysisof this alloy.
出处
《锻压装备与制造技术》
2016年第6期112-115,70,共5页
China Metalforming Equipment & Manufacturing Technology
关键词
B10铜合金
流变行为
本构关系
BP神经网络
B10 copper alloy
Flow stress behavior
Constitutive relationship
BP neural network