文档介绍：COMPOSITES
SCIENCE AND
TECHNOLOGY
Composites Science and Technology 67 (2007) 168–176
pscitech
Prediction on wear properties of posites with
artificial works
Zhenyu Jiang a, Zhong Zhang a,b,*, Klaus Friedrich a
a Institute posite Materials, University of Kaiserslautern, 67663 Kaiserslautern, Germany
b National Center for Nanoscience and Technology, China, No. 2, 1st North Street, Zhongguancun, 100080 Beijing, PR China
Received 18 June 2006; accepted 27 July 2006
Available online 2 October 2006
Abstract
An artificial work (ANN) technique is applied to predict the wear properties of polymer-posites. Based on an
experimental database for short fiber reinforced polyamide , the specific wear rate, frictional coefficient and furthermore
some mechanical properties, such pressive strength and modulus, were essfully calculated by a well-trained ANN. 3-D plots
for the predicted wear and mechanical characteristics as a function of positions and testing conditions were established. The
results are in good agreement with measured data. It shows that the prediction accuracy is reasonable, and work has potential to
be improved if the experimental database work training could be expanded.
Ó 2006 Elsevier Ltd. All rights reserved.
Keywords: A. Polymer-posites (PMCs); B. Wear; B. Mechanical properties; Artificial work (ANN)
1. Introduction solutions for plex, n