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Pregled bibliografske jedinice broj: 486073

Application of artificial neural network (ANN) for prediction of fabrics’ extensibility


Rolich, Tomislav; Hursa Šajatović, Anica; Zavec Pavlinić, Daniela
Application of artificial neural network (ANN) for prediction of fabrics’ extensibility // Fibers and polymers, 11 (2010), 6; 917-923 doi:10.1007/s12221-010-0917-8 (međunarodna recenzija, članak, znanstveni)


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Naslov
Application of artificial neural network (ANN) for prediction of fabrics’ extensibility

Autori
Rolich, Tomislav ; Hursa Šajatović, Anica ; Zavec Pavlinić, Daniela

Izvornik
Fibers and polymers (1229-9197) 11 (2010), 6; 917-923

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Clothing technology; Fabric; Extensibility; Artificial neural network (ANN)

Sažetak
In the field of clothing technology, prediction of the fabric properties is very important because the fabric is the basic element of every clothing item. Knowing the fabric properties it is possible to predict fabrics’ behaviour during process of clothing manufacturing (in phase of cutting, sewing and ironing) as well as clothing items’ behaviour during usage. According to the fabrics’ characteristics and model design it is possible to predict appearances of the clothing items and their draping which can be presented with many computer simulations. In this paper extensibility of the fabric which appears during a small forces loading on the fabrics are investigated. Loading of small forces on the fabric appears in each phases of clothing manufacturing processes and during usage of clothing items. Investigations are managed on 50 fabrics which are weaving in twill weave and 100 % wool. The basic characteristics of fabric (density of warp and weft, mass per unit area, thickness) are defined according appropriate standard methods and tensile properties in the warp and weft directions are measured using KES-FB1 measuring system. Using an artificial neural network (ANN) prediction of extensibility properties of the fabrics are done, results are compared with experimental values and deviations are determined. ANN is an adaptive system that changes its structure based on external or internal information that flows through the network during the learning phase. They can be used to model complex relationships between inputs and outputs or to find patterns in data. Based on the implemented investigations, minimal deviations between experimental and predicted values are obtained and can be concluded that ANN can be used for prediction of the fabrics properties.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Tekstilna tehnologija



POVEZANOST RADA


Projekt / tema
117-1171879-1899 - Numeričko modeliranje u inženjerskoj analizi tekstila i odjeće (Željko Šomođi, )
117-0000000-3254 - Evolucijski algoritmi za optimiranje elektromagnetskog opterećenja okoliša (Darko Grundler, )

Ustanove
Tekstilno-tehnološki fakultet, Zagreb

Citiraj ovu publikaciju

Rolich, Tomislav; Hursa Šajatović, Anica; Zavec Pavlinić, Daniela
Application of artificial neural network (ANN) for prediction of fabrics’ extensibility // Fibers and polymers, 11 (2010), 6; 917-923 doi:10.1007/s12221-010-0917-8 (međunarodna recenzija, članak, znanstveni)
Rolich, T., Hursa Šajatović, A. & Zavec Pavlinić, D. (2010) Application of artificial neural network (ANN) for prediction of fabrics’ extensibility. Fibers and polymers, 11 (6), 917-923 doi:10.1007/s12221-010-0917-8.
@article{article, year = {2010}, pages = {917-923}, DOI = {10.1007/s12221-010-0917-8}, keywords = {Clothing technology, Fabric, Extensibility, Artificial neural network (ANN)}, journal = {Fibers and polymers}, doi = {10.1007/s12221-010-0917-8}, volume = {11}, number = {6}, issn = {1229-9197}, title = {Application of artificial neural network (ANN) for prediction of fabrics’ extensibility}, keyword = {Clothing technology, Fabric, Extensibility, Artificial neural network (ANN)} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Uključenost u ostale bibliografske baze podataka:


  • INSPEC
  • Academic OneFile, Chemical Abstracts Service (CAS), Chemistry Citation Index, Expanded Academic, Google Scholar, Journal Citation Reports/Science Edition, Materials Science Citation Index, OCLC, Polymer Library, Science Citation Index Expanded (SciSearch), SCOPUS, Summon by Serial Solutions


Citati