You are not logged in.
DRO

Controlling and predicting the pilling propensity of knitted wool fabrics

Beltran, Rafael John. 2006, Controlling and predicting the pilling propensity of knitted wool fabrics, Ph.D. thesis, School of Engineering and Information Technology, Deakin University.

Attached Files
Name Description MIMEType Size Downloads

Title Controlling and predicting the pilling propensity of knitted wool fabrics
Author Beltran, Rafael John.
Institution Deakin University
School School of Engineering and Information Technology
Faculty Faculty of Science and Technology
Degree name Ph.D.
Date submitted 2006
Keyword(s) Pilling (Textiles)
Wool fabrics - Testing
Knit goods - Testing
Summary 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.
Language eng
Description of original xvi, 225 leaves : ill. ; 30 cm.
Dewey Decimal Classification 677.317
Persistent URL http://hdl.handle.net/10536/DRO/DU:30026973

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 312 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Thu, 01 Apr 2010, 15:50:57 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.