Prediction of the extrusion load and exit temperature using artificial neural networks based on FEM simulation

被引：9
|
作者：
Zhou, J. [1 ,2 ,3 ]
Li, L. [1 ,2 ]
Mo, J. [1 ,2 ]
Zhou, J. [1 ,2 ,3 ]
Duszczyk, J. [3 ]
机构：
[1] State Key Lab Adv Design & Manufacture Vehicle Bo, Changsha, Hunan, Peoples R China
[2] Hunan Univ, coll Mat Sci & Engn, Changsha 410082, Hunan, Peoples R China
[3] Delft Univ Technol, Dept Mat Sci & Engn, Delft, Netherlands
来源：
ADVANCES ON HOT EXTRUSION AND SIMULATION OF LIGHT ALLOYS | 2010年 / 424卷
关键词：
FEM simulation; Artificial neural network; Extrusion; Magnesium; MAGNESIUM ALLOY; HOT EXTRUSION;
D O I：
10.4028/www.scientific.net/KEM.424.241
中图分类号：
TF [冶金工业];
学科分类号：
0806 ;
摘要：
In the present study, the extrusion process for the AZ31B magnesium alloy was simulated using a DEFORM-3D software package to establish a database in order to provide input data for artificial neural networks (ANN). The network model was trained by taking extrusion ratio, ram speed, shape complexity and ram displacement as the input variables and the extrusion load and exit temperature as the output parameters. The data from FEM simulations were submitted for ANN as a training file and then ANN built were used to predict the target parameters. The ANN predicted results were found to be in agreement with the FEM simulated and experimental measured ones.
引用
收藏
页码：241 / +
页数：2
相关论文
共 50 条
  • [21] Air Temperature Prediction in Sarajevo with Artificial Neural Networks
    Lafcioglu, Ali
    ICECCO'12: 9TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTER AND COMPUTATION, 2012, : 15 - 18
  • [22] The prediction of photovoltaic module temperature with artificial neural networks
    Ceylan, Ilhan
    Erkaymaz, Okan
    Gedik, Engin
    Gurel, Ali Etem
    CASE STUDIES IN THERMAL ENGINEERING, 2014, 3 : 11 - 20
  • [23] The prediction of maximum temperature for single chips' cooling using artificial neural networks
    Ozsunar, Abuzer
    Arcaklioglu, Erol
    Nusret Dur, F.
    HEAT AND MASS TRANSFER, 2009, 45 (04) : 443 - 450
  • [24] Prediction of North American precipitation and temperature anomalies using artificial neural networks
    Montroy, DL
    Richman, MB
    FIRST CONFERENCE ON ARTIFICIAL INTELLIGENCE, 1998, : J9 - J14
  • [25] The prediction of photovoltaic module temperature with artificial neural networks
    Ceylan, Ilhan
    Erkaymaz, Okan
    Gedik, Engin
    Gurel, Ali Etem
    Case Studies in Thermal Engineering, 2014, 3 : 11 - 20
  • [26] Prediction of temperature profiles using artificial neural networks in a vertical thermosiphon reboiler
    Hakeem, M. A.
    Kamil, M.
    Arman, I.
    APPLIED THERMAL ENGINEERING, 2008, 28 (13) : 1572 - 1579
  • [27] The prediction of maximum temperature for single chips’ cooling using artificial neural networks
    Abuzer Ozsunar
    Erol Arcaklıoglu
    F. Nusret Dur
    Heat and Mass Transfer, 2009, 45 : 443 - 450
  • [28] Prediction of North American precipitation and temperature anomalies using artificial neural networks
    Montroy, DL
    Richman, MB
    14TH CONFERENCE ON PROBABILITY AND STATISTICS IN THE ATMOSPHERIC SCIENCES, 1998, : J81 - J86
  • [29] Prediction of martensite formation start temperature in steels using artificial neural networks
    Arjomandi, M.
    Khorsand, H.
    Sadati, S. H.
    Abdoos, H.
    DIFFUSION IN SOLIDS AND LIQUIDS III, 2008, 273-276 : 329 - 334
  • [30] PREDICTION OF THE TEMPERATURE OF THE HOLE DURING THE DRILLING PROCESS USING ARTIFICIAL NEURAL NETWORKS
    Tahavvor, A. R.
    Sepehrinia, S.
    IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF MECHANICAL ENGINEERING, 2014, 38 (M1) : 269 - 274
12345