Prediction of Mechanical Properties of Woven Fabrics by ANN

• Autorzy: Elkateb Sherien N.

Identyfikatory

DOI

10.2478/ftee-2022-0036

• Języki publikacji: EN

Abstrakty

EN

This study aims to obtain an accurate prediction model of mechanical properties of woven fabric to achieve customer satisfaction. Samples of plain woven fabric were produced from different yarn counts and blend ratios of cotton and polyester of weft yarn at different weft densities. Mechanical properties such as tensile strength, bending stiffness and elongation% in both the warp and weft directions were tested. The prediction model was based on Artificial Neural Networks (ANNs). For each model, thirty-nine samples were used for training and fifteen for testing prediction performance. Findings indicated that the ANN achieved a perfect performance in predicting all properties.

Słowa kluczowe

EN

ANN; artificial neural network; mechanical properties; prediction performance; modelling; woven fabric

• Wydawca: Sieć Badawcza Łukasiewicz - Łódzki Instytut Technologiczny
• Czasopismo: Fibres & Textiles in Eastern Europe
• Rocznik: 2022
• Tom: Vol. 30, no. 4
• Strony: 54--59
• Opis fizyczny: Bibliogr. 26 poz., rys., tab.

Twórcy

autor

Elkateb Sherien N.

• Textile Engineering Department, Faculty of Engineering, Alexandria University, Egypt

Bibliografia

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