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Akademický článek

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

Autor: Hamdi Thouraya, Ghith Adel, Fayala Faten

Publikováno v: AUTEX Research Journal, Vol 20, Iss 3, Pp 220-227 (2020)

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 w

Externí odkaz: https://doaj.org/article/4e9e8f1ed86a4e7a801d0b19d16d61bd

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Akademický článek

Open-End Yarn Properties Prediction Using HVI Fibre Properties and Process Parameters

Autor: Ghanmi Hanen, Ghith Adel, Benameur Tarek

Publikováno v: AUTEX Research Journal, Vol 17, Iss 1, Pp 6-11 (2017)

This article provides three models to predict rotor spun yarn characteristics which are breaking strength, breaking elongation and unevenness. These models used noncorrelated raw material characteristics and some processing parameters. For this purpo

Externí odkaz: https://doaj.org/article/15e3faedfc514723804f96658a2640e1

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Akademický článek

Prediction of Drape Coefficient by Artificial Neural Network

Autor: Ghith Adel, Hamdi Thouraya, Fayala Faten

Publikováno v: AUTEX Research Journal, Vol 15, Iss 4, Pp 266-274 (2015)

An artificial neural network (ANN) model was developed to predict the drape coefficient (DC). Hanging weight, Sample diameter and the bending rigidities in warp, weft and skew directions are selected as inputs of the ANN model. The ANN developed is a

Externí odkaz: https://doaj.org/article/e696e458ca3148c782cea9c78cf27c37

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Akademický článek

A principal component analysis (PCA) method for predicting the correlation between some fabric parameters and the drape

Autor: Hamdi Thouraya, Ghith Adel, Fayala Faten

Publikováno v: AUTEX Research Journal, Vol 14, Iss 1, Pp 22-27 (2014)

A new method for predicting correlation between fabric parameters and the drape is developed. This method utilises a Principal Component Analysis (PCA) of intercorrelated influencing parameters (bending rigidity, weight, thickness) and the drape para

Externí odkaz: https://doaj.org/article/10461902e2c04f8c8a4575b9077d77fd

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