Prediction of flow stresses at high temperatures with artificial neural networks

被引：0
|
作者：
Wang, LY
Zheng, TS
Liu, XF
Huang, GJ
机构：
[1] Chongqing Univ, Coll Mat Sci & Engn, Chongqing 400044, Peoples R China
[2] SW Aluminum Fabricat Plant, Chongqing 401326, Peoples R China
来源：
TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA | 2001年 / 11卷 / 02期
关键词：
Al-Li alloy; high temperature plastic deformation; flow stress; neural networks;
D O I：
暂无
中图分类号：
TF [冶金工业];
学科分类号：
0806 ;
摘要：
On the basis of the data obtained on Gleeble-1500 Thermal Simulator, the predicting models for the relation between stable flow stress during high temperature plastic deformation and deformation strain, strain rate and temperature for 1420 AI-Li alloy have been developed with BP artificial neural networks method. The results show that the model on basis of BPNN is practical and it reflects the actual feature of the deforming process. It states that the difference between the actual value and the output of the model is in order of 5%.
引用
收藏
页码：213 / 216
页数：4
相关论文
共 50 条
  • [1] Prediction of flow stresses at high temperatures with artificial neural networks
    汪凌云
    郑廷顺
    刘雪峰
    黄光杰
    [J]. Transactions of Nonferrous Metals Society of China, 2001, (02) : 213 - 216
  • [2] Prediction of flow stresses at high temperatures with artificial neural networks
    [J]. Wang, L.Y., 2001, Allerton Press Inc. (11):
  • [3] Prediction of Austenite Formation Temperatures Using Artificial Neural Networks
    Schulze, P.
    Schmidl, E.
    Grund, T.
    Lampke, T.
    [J]. 18TH CHEMNITZ SEMINAR ON MATERIALS ENGINEERING, 2016, 118
  • [4] Prediction of Round Jet Flow with Artificial Neural Networks
    Kesen, U.
    Sisman, T.
    Cavusoglu, I.
    [J]. ACTA PHYSICA POLONICA A, 2019, 135 (04) : 609 - 612
  • [5] PREDICTION OF STEEL FLOW STRESSES AT HIGH-TEMPERATURES AND STRAIN RATES
    LAASRAOUI, A
    JONAS, JJ
    [J]. METALLURGICAL TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE, 1991, 22 (07): : 1545 - 1588
  • [6] The Application of Artificial Neural Networks for the Prediction of Oil Production Flow Rate
    Mirzaei-Paiaman, A.
    Salavati, S.
    [J]. ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2012, 34 (19) : 1834 - 1843
  • [7] Mass flow prediction in a refrigeration machine using artificial neural networks
    Fonseca, Vinicius David
    Duarte, Willian Moreira
    de Oliveira, Raphael Nunes
    Machado, Luiz
    Maia, Antonio Augusto Torres
    [J]. APPLIED THERMAL ENGINEERING, 2022, 214
  • [8] Prediction of Inner Grooved Circular Jet Flow with Artificial Neural Networks
    Inan, A. T.
    [J]. ACTA PHYSICA POLONICA A, 2017, 131 (03) : 403 - 405
  • [9] Riverflow Prediction with Artificial Neural Networks
    Jayawardena, A. W.
    [J]. ENGINEERING APPLICATIONS OF NEURAL NETWORKS, PROCEEDINGS, 2009, 43 : 463 - 471
  • [10] ARTIFICIAL NEURAL NETWORKS FOR TOXICITY PREDICTION
    Partridge, M.
    Buettner, F.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2010, 96 : S107 - S107
12345