مهندسی نساجی گیلان:. گیل تکس

سایت تخصصی نساجی و پوشاک

مهندسی نساجی گیلان:. گیل تکس

سایت تخصصی نساجی و پوشاک

Prediction of the Frictional Properties of Woven Fabric by Artif

Prediction of the Frictional Properties of Woven Fabric by Artificial Neural Network
Hamid Zadeh Ghasemi, Rostam Namiranian, Amir Haeri
Abstract
It has been found that friction of fabric is dependant on fabric structure. In this investigation, Artificial Neural Networks have been used to model the relation between fabric structure and frictional properties of fabrics. In order to do that, one set of data was extracted from the literature available. This dataset was divided into two groups: Train data and Test data. Test data were not used for training of the networks whereas train data were employed. Fabric structures, Weft density, Finish and unfinished fabric, Weft yarn count and type of weft yarn were inputs and the outputs were static and dynamic friction forces in both warp-over-warp and weft-over-weft directions. Parameters of artificial neural networks were selected to provide the best results for the system. The results show that the use of artificial neural networks in order to predict the static and dynamic friction force has been successful.
Keywords: fabric structure, ANN, static friction force, dynamic friction force


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