The use of neural networks for the prediction of wear loss and surface roughness of AA 6351 aluminium alloy

被引：65
|
作者：
Durmus, HK [1 ]
Özkaya, E [1 ]
Meriç, C [1 ]
机构：
[1] Celal Bayar Univ, Dept Mech Engn, TR-45140 Muradiye Manisa, Turkey
来源：
MATERIALS & DESIGN | 2006年 / 27卷 / 02期
关键词：
AA; 6351; artificial neural networks; precipitation hardening;
D O I：
10.1016/j.matdes.2004.09.011
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Artificial neural networks (ANNs) are a new type of information processing system based on modeling the neural system of human brain. Effects of ageing conditions at various temperatures, load, sliding speed, abrasive grit diameter in 6351 aluminum alloy have been investigated by using artificial neural networks. The experimental results were trained in an ANNs program and the results were compared with experimental values. It is observed that the experimental results coincided with ANNs results. (c) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码：156 / 159
页数：4
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