Controlling and predicting the pilling propensity of knitted wool fabrics
Data(s) |
01/01/2006
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Resumo |
This thesis tackles an important quality issue in the wool industry - the pilling of wool knitwear. Through artificial neural network modelling, the important fibre, yarn and fabric attributes that affect fabric pilling have been identified. A predictive model on fabric pilling has been developed, which will assist the wool industry in the management and control of fabric pilling. |
Identificador | |
Idioma(s) |
eng |
Publicador |
Deakin University, Faculty of Science and Technology, School of Engineering and Information Technology |
Relação |
http://dro.deakin.edu.au/eserv/DU:30026973/beltran-controllingandpredicting-2006.pdf |
Palavras-Chave | #Pilling (Textiles) #Wool fabrics - Testing #Knit goods - Testing |
Tipo |
Thesis |