Artificial Neural Networks and Their Applications in the Engineering of Fabrics
Kitapta bölümler > Diğer · 2010
Yazarlar: Savvas Vassiliadis, Maria Rangoussi, Ahmet ÇAY, Christopher Provatidis
Woven Fabric Engineering, Diğer, Uluslararası, 2010, ,
DOI: 10.5772/10475
Özet
Historically the main use of the textile fabrics has been limited mainly to clothing and domestic applications.The technical uses were of minor importance.However in the last decades the use of the textile structures has started to spread over other sectors like construction, medicine, vehicles, aeronautics, etc.The increased interest in technical applications have improved the fabric design and engineeringprocedures, given that the final products must be characterized by certain mechanical, electrical etc. properties.The performance of the fabrics should be predictable right from the design phase.The design of a fabric is focusing on the materials selection as well as on the definition of its structural parameters, so that the requirements of the end use be fulfilled.These changes in the application field of the textile structures caused a move from the esthetic design to the total technical design, where the fabric appearance and the particular properties affecting its final performance are taken in account.However, the textile structures are highly complex.A textile fabric consists of yarns; yarns in turn consist of fibres.Thus the mechanical performance of the fabrics is characterized by the structural geometrical complexity and non-linearity, as well as from the non-linearities of the materials themselves.This double non-linear bahaviour of the textile fabrics increases the difficulty in the fabric design and engineering processes.The complex structure and the difficulties introduced by the raw materials do not allow the use of precise analytical models for the technical design of the fabrics.Fabric engineering activities are increasingly based on computational models that aim at the prediction of the properties and the performance of the fabrics under consideration.Various computational tools have been used in order to represent the fabrics in a computational environment and to predict their final properties.Among others, Finite Element Method (FEM) analysis has supported mainly the prediction of the behaviour of the complex textile structures under mechanical loads.In the case of classification problems Artificial Neural Networks (ANNs) have proved a very efficient tool for the fast and precise solution.ANNs have found an increasing application in the textile field in the classification as well as in the www.intechopen.comWoven Fabric Engineering 112 prediction of properties and optimization problems (Chattopadhyay & Guha 2004).In parallel or complementarily to the ANNs, fuzzy logic and genetic algorithms techniques have been used in the textile field (Guruprasad & Behera, 2010).The applications of the ANNs in the textile classification and prediction problems cover the fields of fibres, yarns and fabrics as well as color, wet processing and clothing.