Analysis of high temperature deformation behavior of a high Nb containing TiAl based alloy

被引：34
作者：
He, Xiaoming [1 ]
Yu, Zhongqi [1 ]
Lai, Xinmin [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai 200240, Peoples R China
来源：
MATERIALS LETTERS | 2008年 / 62卷 / 26期
关键词：
metals and alloys; as-cast Ti-45Al-8.5Nb-(W; B; Y); alloy; deformation and fracture; flow stress; neural network;
D O I：
10.1016/j.matlet.2008.05.071
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The effects of deformation temperature and strain rate on the hot deformation behaviors of as-cast Ti-45Al-8.5Nb-(W,B,Y) alloy were investigated. The results indicated that when deformation temperature is below 1250 degrees C, the flow stress decreases with the increase of deformation temperature and decrease of strain rate, once deformation temperature reaches 1250 degrees C, the flow stress is not sensitive to strain rate any more. A neural network model was established to predict the flow stress of this high Nb containing TiAl based alloy during hot deformation. The predicted flow stress curves are in good agreement with experimental results. (c) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码：4181 / 4183
页数：3
相关论文
共 19 条
  • [1] Prediction of nickel-base superalloys' rheological behaviour under hot forging conditions using artificial neural networks
    Bariani, PF
    Bruschi, S
    Dal Negro, T
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2004, 152 (03) : 395 - 400
  • [2] Workability of Ti-6Al-4V alloy at high temperatures and strain rates
    Bruschi, S
    Poggio, S
    Quadrini, F
    Tata, ME
    [J]. MATERIALS LETTERS, 2004, 58 (27-28) : 3622 - 3629
  • [3] Flow curve prediction of an Al-MMC under hot working conditions using neural networks
    Cavaliere, P.
    [J]. COMPUTATIONAL MATERIALS SCIENCE, 2007, 38 (04) : 722 - 726
  • [4] Hot forming behaviour of Ti-Al-Zr-Si "in situ" metal matrix composite by means of hot torsion tests
    Cavaliere, P.
    El Mehtedi, M.
    Evangelista, E.
    Kuzmenko, N.
    Vasylyev, O.
    [J]. COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING, 2006, 37 (10) : 1514 - 1520
  • [5] Mathematical modelling of the stress-strain curves of Ti-IF steel at high temperature
    Ebrahimi, R
    Zahiri, SH
    Najafizadeh, A
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2006, 171 (02) : 301 - 305
  • [6] Use of artificial neural networks to predict the deformation behavior of Zr-2.5Nb-0.5Cu
    Kapoor, R
    Pal, D
    Chakravartty, JK
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2005, 169 (02) : 199 - 205
  • [7] Prediction of flow stress for carbon steels using recurrent self-organizing neuro fuzzy networks
    Kumar, Shashi
    Kumar, Sanjeev
    Prakash
    Shankar, Ravi
    Tiwari, M. K.
    Kumar, Shashi Bhushan
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2007, 32 (03) : 777 - 788
  • [8] High temperature deformation behavior of near alpha Ti-5.6Al-4.8Sn-2.0Zr alloy
    Li, Miaoquan
    Pan, Hongsi
    Lin, Yingying
    Luo, Jiao
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2007, 183 (01) : 71 - 76
  • [9] Li P, 2004, J MATER PROCESS TECH, V148, P235, DOI [10.1016/j.matprotec.2003.07.013, 10.1016/j.jmatprotec.2003.07.013]
  • [10] Constitutive modeling for elevated temperature flow behavior of 42CrMo steel
    Lin, Y. C.
    Chen, Ming-Song
    Zhong, Jue
    [J]. COMPUTATIONAL MATERIALS SCIENCE, 2008, 42 (03) : 470 - 477
12