Predicting comfort properties of knitted fabrics by assessing yarns with the Wool ComfortMeter

M. Naebe, V. Lutz, B. A. McGregor, D. Tester, Xungai Wang (Corresponding Author)

Research output: Journal article publicationJournal articleAcademic researchpeer-review

14 Citations (Scopus)

Abstract

This study examined the feasibility of assessing yarns with the Wool ComfortMeter (WCM) to predict the comfort properties of the corresponding single jersey-knitted fabrics. The optimum yarn arrangement to predict the comfort value of a corresponding control fabric was determined using nine wool and wool/nylon-blended yarns (mean fibre diameter range 16.5-24.9 μm) knitted into 34 different fabrics. Using a notched template, yarn winding frequencies of 1, 3, 6, 12, 25 and 50 parallel yarns were tested on the WCM. The best predictor of fabric WCM values was using 25 parallel yarns. Inclusion of knitting gauge and cover factor slightly improved predictions. This indicates that evaluation at the yarn stage would be a reliable predictor of knitted fabric comfort, and thus yarn testing would avoid the time and expense of fabric construction.

Original languageEnglish
Pages (from-to)628-633
Number of pages6
JournalJournal of the Textile Institute
Volume104
Issue number6
DOIs
Publication statusPublished - Jun 2013
Externally publishedYes

Keywords

  • comfort properties
  • cover factor
  • fabric thickness
  • knitting gauge
  • knitting structure
  • next-to-skin
  • yarn testing

ASJC Scopus subject areas

  • Materials Science (miscellaneous)
  • General Agricultural and Biological Sciences
  • Polymers and Plastics
  • Industrial and Manufacturing Engineering

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