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Predicting fabric prickle propensity by testing yarns on the Wool ComfortMeter

Wang, Henry, Quiniou, Cecilia, Naebe, Maryam and Crowe, David 2016, Predicting fabric prickle propensity by testing yarns on the Wool ComfortMeter, in IWTO 2016: 85th International Wool Textile Organisation Congress: Wool for Future Generations, IWTO, Brussels, Belgium.

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Title Predicting fabric prickle propensity by testing yarns on the Wool ComfortMeter
Author(s) Wang, Henry
Quiniou, Cecilia
Naebe, MaryamORCID iD for Naebe, Maryam orcid.org/0000-0002-5266-9246
Crowe, David
Conference name International Wool Textile Organisation. Congress (85th: 2016: Sydney, N.S.W.)
Conference location Sydney, N.S.W.
Conference dates 4-6 Apr. 2016
Title of proceedings IWTO 2016: 85th International Wool Textile Organisation Congress: Wool for Future Generations
Publication date 2016
Total pages 10
Publisher IWTO
Place of publication Brussels, Belgium
Summary The Wool ComfortMeter is the first simple and fast objective tool in the world for assessing wool fabric prickle propensity. IWTO-DTM-66 for the measurement of fabrics using the WCM was accepted at the IWTO Cape Town Congress, South Africa in 2014. Since then, interest has been shown in the technology by yarn manufacturers and buyers for testing yarns before fabric is made, in order to obtain the prickle propensity of a fabric while still at yarn stage.Presentation of the yarn sample to the Wool ComfortMeter is critical. An YG381 yarn winder was selected for this project because it is a fast and reliable tool for sample preparation. The investigation into yarn winding density and tension showed that both the winding density and tension did not significantly affect the tested yarn WCM values. Therefore, a sample preparation protocol was established by using a winding density 19 loops/cm and a 20g tension plate on the YG381 winding machine.Further examination by complying with the preparation protocol showed that yarn Wool ComfortMeter value was the only significant predictor of its corresponding fabric Wool ComfortMeter value. Thus, liner and polynomial regression models were developed for predicting the fabric WCM prickle propensity. Based on the prediction performance, a linear model was recommended for the 1-ply yarns and polynomial model for the 2-ply yarns in this report. The prediction errors were approximately 66 for the 1-ply yarns and 14 for the 2-ply yarns.
Language eng
Field of Research 091012 Textile Technology
Socio Economic Objective 860403 Natural Fibres
HERDC Research category E2 Full written paper - non-refereed / Abstract reviewed
ERA Research output type E Conference publication
Copyright notice ©2016, IWTO
Persistent URL http://hdl.handle.net/10536/DRO/DU:30083546

Document type: Conference Paper
Collection: Institute for Frontier Materials
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Created: Thu, 19 May 2016, 10:47:09 EST

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