Predicting Fabric Drapability Property by Using an Artificial Neural Network

被引：0

作者：

Taieb, Amine Hadj ^{[1
]}

Mshali, Slah ^{[1
]}

Sakli, Faouzi ^{[1
]}

机构：

[1] Lab Genie Text, Ksar Hellal, Ksar Hellal, Tunisia

来源：

JOURNAL OF ENGINEERED FIBERS AND FABRICS | 2018年 / 13卷 / 03期

关键词：

Back-propagation; correlation coefficient; fabric drape; neural network;

D O I：

10.1177/155892501801300310

中图分类号：

TB3 [工程材料学]; TS1 [纺织工业、染整工业];

学科分类号：

0805 ; 080502 ; 0821 ;

摘要：

Drape, one of the most important properties of fabric, has played significant role in providing graceful aesthetic effects in garments. Drapability of textiles is judged subjectively and is dependent on people's skill and experience, which render difficulties during drape comparisons, especially when judged by different people. This work reports the results of a study on predicting the drapability of woven fabric using an artificial neural network. It was established that drapability could be predicted from the mechanical properties of fabric at low-stress.

引用

页码：87 / 93

页数：7

共 32 条

[1]

Abou-Nassif G. A., 2015, Journal of Textile Science & Engineering, V05, DOI [10.4172/2165-8064.1000209, DOI 10.4172/2165-8064.1000209]

[2]

[Anonymous], 2005, RES J TEXT APPAR, DOI DOI 10.1108/RJTA-09-02-2005-B005

[3]

Behara B., 2007, Indian Journal of Fibre and Textile Research, V32(3), P319

[4]

Behera B., 2008, INDIAN J FIBRE TEXTI, V33, P230

[5]

British Standards Institution, 2008, TEXT TEST METH NONW

[6]

British Standards Institution, 1998, TEXT TEST METH NON 9

[7]

British Standards Institution (BSI), 1973, METH ASS DRAP FABR

[8] Prediction of the air permeability of woven fabrics using neural networks [J].

Cay, Ahmet ;

Vassiliadis, Savvas ;

Rangoussi, Maria ;

Tarakcioglu, Isik .

INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY, 2007, 19 (1-2) :18-35

[9]

Cheng L., 1995, TEXT RES J, V65, P465

[10]

Cusick G.E., 1965, J. Text. Inst, V56, pT596, DOI DOI 10.1080/19447026508662319

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