Prediction of various functional finishing treatments using artificial neural networks |
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| Authors: | Eylen Sema Naml?göz Süleyman Çoban Pelin Gürkan Ünal |
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| Institution: | (1) Department of Textile Engineering, Isfahan University of Technology, Isfahan, 84156-83111, Iran;(2) Organic Polymer Chemistry Research Laboratory, Department of Chemistry, Isfahan University of Technology, Isfahan, 84156-83111, Iran;(3) Nanotechnology and Advanced Materials Institute, Isfahan University of Technology, Isfahan, 84156-83111, Iran; |
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| Abstract: | In this study, in order to produce different water-oil repellent and wrinkle resistant fabrics, 21 different kinds of blended
woven fabrics were treated (padded and transfered) with both classic and nano chemicals according to 4 different levels of
concentrations. Afterwards, water, oil repellency and wrinkle angle recovery properties of the fabrics were measured. The
purpose of this study is to predict these aforementioned functional properties of the fabrics before manufacturing based on
the fabric blend, treatment method, used chemicals and chemical concentrations with the help of multi layer perceptron, one
of the most popular network architecture. As a result of the study, it can be concluded that multi layer perceptron method
can also be used for the classification problems successfully. |
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