Materials Reports  2020, Vol. 34 Issue (Z1): 283-288 |
| METALS AND METAL MATRIX COMPOSITES |
|
|
|
|
|
| Hot Deformation Behavior and Constitutive Relationship of Ti-Al-Zr-Nb-Mo-SiAlloy Based on Artificial Neural Network Model |
| REN Junshuai, LI Xinlin, XIAO Songtao, ZHOU Lipeng, SHU Ying, ZHANG Yingming
|
| Northwest Institute for Nonferrous Metal Research, Xi'an 710016, China |
|
|
|
|
Abstract In this paper, the flow stress features of Ti-Al-Zr-Nb-Mo-Si alloy were studied by isothermal hot compression in the temperature range of 950—1 150 ℃ and strain rate range of 0.05—1 s-1. The deformation temperature and the strain rate significantly affect the flow stress in the isothermal deformation of Ti-Al-Zr-Nb-Mo-Si alloy. By using Arrhenius-type constitutive model considering the strain compensation and artificial neural network model, the constitutive relationship of Ti-Al-Zr-Nb-Mo-Si alloy were developed. The average relative errors of two models were 11.21% and 2.163%, respectively. Results showed that the proposed models possess good predicted ability of the alloy's constitutive relations. However, compared with the traditional Arrhenius-type model, the BP neural network model has relatively higher precision and reliability.
|
|
Published: 01 July 2020
|
|
|
| About author:: Junshuai Ren received his M.S. degree in July 2014 from Harbin Institute of Technology. He is currently an engineer of Northwest Institute for Non-ferrous Metal Research. His main research interests are preparation technologies of titanium alloy, niobium, hafnium, zirconium and other metal materials ; Ying Shu is a professor at Northwest Institute For Non-ferrous Metal Research. He is mainly engaged in the research of rare metal materials such as titanium, zirco-nium, niobium, nickel and magnesium alloys, covering material preparation technology, the research of microstructure, properties and mechanisms, industrialization technology of plates, rods and profiles. He has underta-ken more than 20 projects including the National 973 Project and the National Science and Technology Support Program. He has published more than 60 articles in important journals at home and abroad, and authorized more than 30 invention patents. |
|
|
1 Kasatori S, Marui Y, Oyama H, et al. SAE International Journal of Materials and Manufacturing,2016,10(1),23.
2 韩兴言.锻压技术,2019,44(4),157.
3 冯秋元,佟学文,王俭,等.材料导报:综述篇,2017,31(5),128.
4 Zhu F H, Xiong W, Li X F, et al. Rare Metals,2018,37,1035.
5 Quan G Z, Zhang Z H, Zhou Y, et al. Materials Research,2016,19(6),1253.
6 Sun Y, Hu L X, Ren J S. Journal of Materials Engineering & Perfor-mance,2015,24(3),1313.
7 Li J, Zhao F, Li N, et al. Heat Treatment of Metals,2015,40(4),22.
8 Sellars C M, Mctegart W J. Acta Metall,1966,14,1136.
9 Rumelhart, David E, McClelland J L. Encyclopedia of Database Systems,1986,45.
10 Li C L, Narayana P L, Reddy N S, et al. Journal of Materials Science Technology,2019,5,907.
11 孙宇,曾卫东,赵永庆,等.稀有金属材料与工程,2012,41(6),1041.
12 Zhao Y M, Kou H C, Wu W, et al. Materials ence Forum,2016,849,360.
13 Kim J H, Reddy N S, Yeom J T, et al. Metals and Materials Internatio-nal,2009,15(3),427.
14 Jia Z Q, Zeng W D. Advanced Materials Research,2014,983,127.
15 Sinha A, Sikdar S, Chattopadhyay P P, et al. Materials & Design,2013,46,227.
16 Sun Y, Wan Z P, Hu L X, Ren J S. Materials & Design,2015,86,922. |
|
|
|
渝公网安备50019002502923号 © Editorial Office of Materials Reports.
