Year: 2012
Journal of Fiber Bioengineering and Informatics, Vol. 5 (2012), Iss. 3 : pp. 281–287
Abstract
The purpose of this study is to investigate the damage mechanisms in UHMWPE/LDPE laminated by Acoustic Emission (AE) technique. Model specimens are fabricated to obtain expected damage mechanisms during tensile testing. Then, relationship among AE descriptors is studied by hierarchical cluster analysis, and AE signals are classified by k-means algorithm. Finally, an Artificial Neural Network (ANN) is created and trained by various optimal algorithms to identify damage mechanisms. The results reveal that typical damage mechanisms in PE self-reinforced composite can be classified in terms of the similarity between AE signals and identified by a well trained ANN.
You do not have full access to this article.
Already a Subscriber? Sign in as an individual or via your institution
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.3993/jfbi09201206
Journal of Fiber Bioengineering and Informatics, Vol. 5 (2012), Iss. 3 : pp. 281–287
Published online: 2012-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 7
Keywords: Damage Mechanisms