Determination of hardness of AA 2024 aluminium alloy under ageing conditions by means of artificial neural networks method

被引：0
|
作者：
Atik, E [1 ]
Meric, C
Karlik, B
机构：
[1] Celal Bayar Univ, Fac Engn, TR-45140 Manisa, Turkey
[2] Halic Univ, Dept Comp Engn, Istanbul, Turkey
来源：
METALL | 2004年 / 58卷 / 7-8期
关键词：
D O I：
暂无
中图分类号：
TF [冶金工业];
学科分类号：
0806 ;
摘要：
As known, 2XXX and 7XXX Aluminium wrought alloys can have high strength values by means of precipitation hardening heat treatment. Determination of the precipitation hardening conditions, which can give the most suitable strength values of an alloy, requires numerous tests. But the results of this process which require long time and high cost can be obtained in a shorter time and at a lower cost with less data by means of Artificial Neural Networks method. Since this method is used, less number of experiments and therefore less data are needed. Then other values are found by means of Artificial Neural Networks (ANN) method. This paper, presents the feed forward ANN to determine hardness of alloy for different temperatures. For this purpose, a classic Back-Propagation Algorithm was used that is structure as 1:2:4.
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收藏
页码：448 / 451
页数：4
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