Journal
FIBERS AND POLYMERS
Volume 12, Issue 8, Pages 1069-1076Publisher
KOREAN FIBER SOC
DOI: 10.1007/s12221-011-1069-1
Keywords
Artificial neural network (ANN); 100% cotton fabric; Colour properties; Laser engraving process; K/S value; CIE L, a and b values
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Funding
- Hong Kong Polytechnic University
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In this paper, artificial neural network (ANN) model was used for predicting colour properties of 100 % cotton fabrics, including colour yield (in terms of K/S value) and CIE L, a, and b values, under the influence of laser engraving process with various combination of laser processing parameters. Variables examined in the ANN model included fibre composition, fabric density (warp and weft direction), mass of fabric, fabric thickness and linear density of yarn (warp and weft direction). The ANN model was compared with a linear regression model where the ANN model produced superior results in prediction of colour properties of laser engraved 100 % cotton fabrics. The relative importance of the examined factors influencing colour properties was also investigated. The analysis revealed that laser processing parameters played an important role in affecting the colour properties of the treated 100 % cotton fabrics.
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