Predicting the pilling tendency of wool knits

Beltran, Rafael, Wang, Lijing and Wang, Xungai 2006, Predicting the pilling tendency of wool knits, Journal of the Textile Institute, vol. 97, no. 2, pp. 129-136.

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Title Predicting the pilling tendency of wool knits
Author(s) Beltran, Rafael
Wang, Lijing
Wang, XungaiORCID iD for Wang, Xungai
Journal name Journal of the Textile Institute
Volume number 97
Issue number 2
Start page 129
End page 136
Publisher Taylor & Francis
Place of publication Manchester, England
Publication date 2006-03
ISSN 0040-5000
Keyword(s) artificial neural network
pilling prediction
knitted fabrics
Summary This work investigates the application of artificial neural network modeling (ANN) to model the relationships between fiber, yarn, and fabric properties and the pilling propensity of single jersey and rib pure wool knitted fabrics based on the ICI Pilling Box method. Validation of the model on an independent validation data set suggests that the accurate prediction of pilling propensity is possible with the best performing model achieving a correlation with the subjectively rated pilling grades of approximately 85%. Importantly, it is also illustrated that a larger training set can lead to a marked improvement in the accuracy of predictions.

Language eng
Field of Research 091012 Textile Technology
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2006, Taylor & Francis
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Document type: Journal Article
Collections: Centre for Material and Fibre Innovation
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