Izvorni znanstveni članak
Application of soft computing techniques for the prediction of the air permeability property of fabrics
Sevda Altas
orcid.org/0000-0002-2504-8794
; Ege University Emel Akin Vocational Training School, Textile Program, Bornova, Izmir, Trska
Sažetak
The air permeability of a fabric is the measure of the air flow rate through the fabric under a given pressure. It has a great significance on the fabric comfort related properties of clothing. The target of the study is the application of fuzzy logic and artificial neural network simulation for the estimation of the air permeability of the linen woven fabrics. For this aim, eleven different linen woven fabrics were used and their basic physical properties such as; yarn linear density, twist coefficient, fabric unit weight, fabric thickness and air permeability properties were evaluated. The air permeability property of linen fabrics was predicted by using Fuzzy Logic (FL) and Artificial Neural Network (ANN) models using the parameters which are effective on air permeability according to the literature. The predictions of ANN and FL methods compared with experimental results. According to the results, it was seen that ANN and FL models give outputs closer to experimental results, but the estimation success of ANN method was found better than the FL model.
Ključne riječi
soft computing techniques; Fuzzy Logic (FL); Artificial Neural Network (ANN); air permeability; linen woven fabric
Hrčak ID:
188263
URI
Datum izdavanja:
20.5.2017.
Posjeta: 1.026 *