Open AccessManufacturing processes in the textile industry. Expert Systems for fabrics production
Author(s) -
Juan Bullon,
Angélica González Arrieta,
Ascensión Hernández Encinas,
Araceli Queiruga Dios
Publication year - 2017
Publication title -
advances in distributed computing and artificial intelligence journal
Language(s) - English
Resource type - Journals
ISSN - 2255-2863
DOI - 10.14201/adcaij2017614150
Subject(s) - textile , textile industry , production (economics) , manufacturing engineering , clothing , process (computing) , variety (cybernetics) , production cycle , yarn , raw material , engineering , quality (philosophy) , artificial neural network , industrial engineering , computer science , mechanical engineering , artificial intelligence , materials science , macroeconomics , operating system , history , philosophy , chemistry , archaeology , organic chemistry , epistemology , economics , composite material
The textile industry is characterized by the economic activity whose objective is the production of fibres, yarns, fabrics, clothing and textile goods for home and decoration,as well as technical and industrial purposes. Within manufacturing, the Textile is one of the oldest and most complex sectors which includes a large number of sub-sectors covering the entire production cycle, from raw materials and intermediate products, to the production of final products. Textile industry activities present different subdivisions, each with its own traits. The length of the textile process and the variety of its technical processes lead to the coexistence of different sub-sectors in regards to their business structure and integration. The textile industry is developing expert systems applications to increase production, improve quality and reduce costs. The analysis of textile designs or structures includes the use of mathematical models to simulate the behavior of the textile structures (yarns, fabrics and knitting). The Finite Element Method (FEM) has largely facilitated the prediction of the behavior of that textile structure under mechanical loads. For classification problems Artificial Neural Networks (ANNs) haveproved to be a very effective tool as a quick and accurate solution. The Case-Based Reasoning (CBR) method proposed in this study complements the results of the finite element simulation, mathematical modeling and neural networks methods.