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.
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.
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2020, Vol. 34 
