Prediction Models for Room Temperature Tensile Strength of TC4 Titanium Alloy with Equiaxed Structure Based on Element Compositions
摘 要
基于Jmatpro软件和固溶强化理论,对随机取样的样本数据进行归纳,建立了等轴组织TC4钛合金元素成分对于室温抗拉强度的预测模型,对比三次多项式拟合模型和交叉相互作用模型发现各元素之间的相互作用微弱,与Jmatpro软件计算结果相比,两种模型的预测精度均较高。验证试验结果表明:与TC4钛合金实测抗拉强度相比,两种模型的预测误差均小于10 MPa,且与Jmatpro软件计算的结果相吻合,说明所建立模型简单易用,具有实际应用价值。
Abstract
Based on Jmatpro software and solid solution strengthening theory, the models for predicating room temperature tensile strength of TC4 titanium alloy with equiaxed structure according to element compositions were established by summarizing the sample data with random distribution. By comparing the cubic polynomial fitting model and the interaction model, it was found that the interaction among different elements was weak. Compared with the calculating results of Jmatpro software, the prediction accuracies of the two models were both very high. The verification test results show that compared with the measured tensile strength of TC4 titanium alloy, the prediction errors of the two models were both less than 10 MPa, and the predicating results was consistent with those calculated by Jmatpro software, which showed that the established models were simple and easy and had practical application value.
中图分类号 TG166.5 TG115.5 DOI 10.11973/lhjy-wl201710003
所属栏目 试验与研究
基金项目 上海市科学技术委员会资助项目(14DZ2261200;14DZ2261202)
收稿日期 2016/10/17
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备注王飞(1989-),男,助理工程师,硕士,主要从事金属材料及表面工程研究,finnwong01@126.com
引用该论文: WANG Fei,ZHOU Yinyu,ZHANG Chao. Prediction Models for Room Temperature Tensile Strength of TC4 Titanium Alloy with Equiaxed Structure Based on Element Compositions[J]. Physical Testing and Chemical Analysis part A:Physical Testing, 2017, 53(10): 707~711
王飞,周隐玉,张超. 基于元素成分预测等轴组织TC4钛合金室温抗拉强度的模型[J]. 理化检验-物理分册, 2017, 53(10): 707~711
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