Prediction of weight loss of various polyaryletherketones and their composites in three-body abrasive wear situation using artificial neural networks

被引：11
作者：
Harsha, A. P. [1 ]
机构：
[1] Banaras Hindu Univ, Inst Technol, Dept Engn Mech, Varanasi 221005, Uttar Pradesh, India
[2] Delhi Coll Engn, Dept Engn Mech, Delhi 110042, India
来源：
JOURNAL OF REINFORCED PLASTICS AND COMPOSITES | 2007年 / 26卷 / 13期
关键词：
artificial neural networks; three-body abrasive wear; polymer composites; wear model;
D O I：
10.1177/0731684407079736
中图分类号：
TB33 [复合材料];
学科分类号：
摘要：
The objective of the present paper is to investigate the potential of an artificial neural network technique to predict the weight loss of various polyaryletherketones (PAEKs) and their composites in a three-body abrasive wear situation. Back-propagation neural networks have been used to predict the weight loss based on an experimental database in a three-body abrasive wear situation. The results show that the predicted data are perfectly acceptable when compared to the actual experimental test results. Hence a well-trained artificial neural networks (ANNs) system is expected to be very helpful for estimating the weight loss in the complex three-body abrasive wear situation of polymer composites.
引用
收藏
页码：1367 / 1377
页数：11
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