Preliminary Results of Cottonspec Validation TrialS
Yang and S. Gordon
CSIRO Materials Science & Engineering, Australia
Geelong, Victoria
L. Wu
China Chongqing Sanxia Technical Textile Co. Ltd.
Wanzhou, Chongqing, China
Abstract
Cottonspec validation trials have been carried out at four Chinese partner mills since December 2010. Cottonspec algorithms have been upgraded with sophisticated theoretical modelling and utilising a database that has been enhanced in terms of size and data clarity. In order to facilitate wider application of Cottonspec in industry the upgraded algorithms now require only five HVI parameters: tenacity, elongation, UHML, SFC (12.7mm or 16mm) and Micronaire. However, there is room for improved prediction accuracy if test data for fibre fineness and nep count become more widely available. The upgraded algorithms show greater prediction power than the previous algorithms. The validation trials showed that in a good modern spinning mill Cottonspec worked well, with predicted yarn tenacity and yarn evenness strongly correlated with measured yarn quality values. Prediction accuracy was further improved by introducing Mill Correction Factors (MCFs), which are used to align a particular mill's data with the mill database.