中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Prediction of flow stress of Ti-15-3 alloy with artificial neural network

文献类型:期刊论文

作者P. Li ; D. B. Shan ; K. M. Xue ; Y. Lu ; Y. Xu
刊名Transactions of Nonferrous Metals Society of China
出版日期2001
卷号11期号:1页码:95-97
关键词artificial neural network Ti-15-3 alloy flow stress
ISSN号1003-6326
中文摘要Hot compression experiments were conducted on Ti-15-3 alloy specimens using Gleeble-1500 Thermal Simulator. These tests were focused to obtain the flow stress data under various conditions of strain, strain rate and temperature. On the basis of these data, the predicting model for the nonlinear relation between flow stress and deformation strain, strain rate and temperature for Ti-15-3 alloy was developed with a back-propagation artificial neural network method. Results show that the neural network can reproduce the flow stress in the sampled data and predict the nonsampled data well. Thus the neural network method has been verified to be used to tackle hot deformation problems of Ti-15-3 alloy.
原文出处://WOS:000166627600020
公开日期2012-04-14
源URL[http://ir.imr.ac.cn/handle/321006/36701]  
专题金属研究所_中国科学院金属研究所
推荐引用方式
GB/T 7714
P. Li,D. B. Shan,K. M. Xue,et al. Prediction of flow stress of Ti-15-3 alloy with artificial neural network[J]. Transactions of Nonferrous Metals Society of China,2001,11(1):95-97.
APA P. Li,D. B. Shan,K. M. Xue,Y. Lu,&Y. Xu.(2001).Prediction of flow stress of Ti-15-3 alloy with artificial neural network.Transactions of Nonferrous Metals Society of China,11(1),95-97.
MLA P. Li,et al."Prediction of flow stress of Ti-15-3 alloy with artificial neural network".Transactions of Nonferrous Metals Society of China 11.1(2001):95-97.

入库方式: OAI收割

来源:金属研究所

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