A modeling study of micro-cracking processes of polyurethane coated cotton fabrics

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dc.authoridYuceer, Mehmet/0000-0002-2648-3931
dc.authoridGunesoglu, Sinem/0000-0002-8270-6546
dc.authorwosidYuceer, Mehmet/E-5110-2012
dc.authorwosidGunesoglu, Sinem/AAG-5820-2020
dc.contributor.authorGunesoglu, Sinem
dc.contributor.authorYuceer, Mehmet
dc.date.accessioned2024-08-04T20:44:25Z
dc.date.available2024-08-04T20:44:25Z
dc.date.issued2018
dc.departmentİnönü Üniversitesien_US
dc.description.abstractPolyurethane (PU) coating became popular in recent decades to achieve water resistance in clothing fabrics with enhanced visual properties. But reduced breathability of coated fabric is a setback for the clothing industry; therefore, there have been various attempts to achieve breathable water-resistant coatings. A new and facile method of enhancing breathability of PU-coated fabrics, which has been called micro-cracking, has been recently studied and highly encouraging outcomes have been obtained for the use of the process in industry. But when any process is considered to have industrial applications, it is essential to conduct not only the optimization but also modeling studies to find out whether the outputs are predictable; the process is controllable and allows us to see how the results are affected by process parameters. This work conducts a modeling study of micro-cracking processes of PU-coated samples to complete this evaluation. For this purpose, an artificial neural network (ANN) and a least square support vector model (LS-SVM) are developed for the prediction of various properties of PU-coated fabrics after micro-cracking. The results showed that the effects of micro-cracking process on various properties of coated fabric could be predicted through ANN or LS-SVM modeling; specifically, the ANN exhibited better performance in the test set of the data. Thus, it is concluded that the results and the measurements were found to be compatible for defining the process as an industrial alternative.en_US
dc.description.sponsorshipTUBITAK [114M105]en_US
dc.description.sponsorshipThe authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The study was supported by TUBITAK under program contract no. 114M105.en_US
dc.identifier.doi10.1177/0040517517732085
dc.identifier.endpage2781en_US
dc.identifier.issn0040-5175
dc.identifier.issn1746-7748
dc.identifier.issue24en_US
dc.identifier.scopus2-s2.0-85045155237en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage2766en_US
dc.identifier.urihttps://doi.org/10.1177/0040517517732085
dc.identifier.urihttps://hdl.handle.net/11616/98232
dc.identifier.volume88en_US
dc.identifier.wosWOS:000453216100002en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSage Publications Ltden_US
dc.relation.ispartofTextile Research Journalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectartificial neural networken_US
dc.subjectpolyurethane coatingen_US
dc.subjectsupport vector machineen_US
dc.titleA modeling study of micro-cracking processes of polyurethane coated cotton fabricsen_US
dc.typeArticleen_US

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