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Estimation of Areal Weight, Tensile Strength and Elongation at Break of PP Spunbond Nonwoven Fabrics Using Digital Image Analysis and Artificial Neural Networks.

Authors :
Taşcan, Mevlüt
Nohut, Serkan
Akgöbek, Ömer
Arıcı, Tacettin
Source :
Abstracts of the Fiber Society Symposium; Fall2014, p14-15, 2p
Publication Year :
2014

Abstract

The article discusses research on the use of digital image analysis and artificial neural networks (ANN) for estimating the physical and mechanical properties of polypropylene (PP) spunbond nonwoven fabrics. Topics explored include the various industrial applications for nonwoven fabrics, the capability of ANN to compute input variables and store data, and the prediction of areal weight and tensile strength of these fabrics.

Details

Language :
English
Database :
Supplemental Index
Journal :
Abstracts of the Fiber Society Symposium
Publication Type :
Conference
Accession number :
100636587