TA15合金热压缩流变应力修正及神经网络预测  

Correction and neural network prediction of hot compression flow stress in TA15 alloy

作　　者：王锋[1] 李萍[1] 

机构地区：[1]合肥工业大学材料科学与工程学院,安徽合肥230009

出　　处：《合肥工业大学学报（自然科学版）》2008年第10期1602-1605,共4页Journal of Hefei University of Technology：Natural Science

基　　金：国家自然科学基金资助项目(50405020)

摘　　要：文章采用Gleeble-1500热模拟试验机对TA15合金进行了等温热压缩试验;对试验数据进行了摩擦修正,以修正后的流变应力为基础,研究了在不同的热变形条件下,TA15合金流变应力的变化规律;采用人工神经网络的方法建立了该合金在不同温度范围内流变应力曲线的预测模型。预测值与实测值吻合较好,表明该方法能够很好地预测TA15合金在热变形过程中流变应力的变化。High temperature compressive experiments of the TA15 alloy are performed on the Gleeble- 1500 thermal simulator, Based on the true stress-strain curves corrected for friction, the flow stress behavior is analyzed. In different temperature ranges, the predicting models considering the relations of the flow stress to the strain, strain rate and temperature of the TA15 alloy are developed by an artificial neural network method. The coincidence of the predicted results with measured ones shows that the artificial neural ,network method can successfully predict the influence of heat forming parameters on the flow stress.

关 键 词：热变形 流变应力 摩擦修正 人工神经网络 TA15合金 

分 类 号：TG146[一般工业技术—材料科学与工程]