Fuzzy Logic Method for Predicting the Effect of Main Fabric Parameters Influencing Drape Phenomenon

• Autorzy: Thouraya Hamdi , Adel Ghith , Faten Fayala

Identyfikatory

DOI

10.2478/aut-2019-0034

• Języki publikacji: EN

Abstrakty

EN

The main aspect of this research was to predict the drape parameters and describe clearly the drape phenomenon using fuzzy logic method. Forecasting features allow manufacturers to save time and improve their productivity. The bending rigidity, (in warp, weft, and skew direction), shear rigidity, and weight of fabric samples were used as the key input variables for the model, whereas drape coefficient, drape distance ratio, folds depth index, and node number were used as output/response variables. The results show that changing the values of fabric parameters significantly affected the fabric drape and a representative correlation values were found between the experimental values and those calculated by the fuzzy system.

Słowa kluczowe

EN

fuzzy C-means; FCM; fuzzy logic; fabric drape; drape coefficient; node number; drape distance ratio; folds depth index

PL

zbiór rozmyty wartości średnich; logika rozmyta; tkanina; współczynnik układalności

• Wydawca: Lodz University of Technology, Faculty of Material Technologies and Textile Design
• Czasopismo: Autex Research Journal
• Rocznik: 2020
• Tom: Vol. 20, no. 3
• Strony: 220--227
• Opis fizyczny: Bibliogr. 23 poz.

Twórcy

autor

Thouraya Hamdi

• Department of Fashion and Textile Design/ College of Arts and Design/ Princess Nourah bint Abdulrahman University
• University of Monastir, National Engineering School, Laboratory studies of thermal and energy systems, LR99ES31, 5019, Monastir, Tunisia

autor

Adel Ghith

• University of Monastir, National Engineering School, Textile Materials and Processes Research Unit, UR17ES33, 5019, Monastir, Tunisia

autor

Faten Fayala

• University of Monastir, National Engineering School, Laboratory studies of thermal and energy systems, LR99ES31, 5019, Monastir, Tunisia

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).