Classification and measure of quantitative difference between polyester and cotton fabrics based on sensory analysis.
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2016
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GEMTEX Laboratory, ENSAIT, Université Lille 1
Abstract
The proportion of global fiber consumption of cotton has steadily fallen from over 80% in the early 50’s, to about 32% to date, while polyester now dominates at about 54%. PET competes with cotton in global apparel share, BOTH averaging between 31% and 36% since 2010 [1]. The exclusive use of PET in apparel is still limited due to some inferior properties, including sensory related.
Textile sensory attributes may relate to: tactility, moisture, pressure, temperature, aesthetics, and acoustics; all influenced by characteristics of fiber, yarn, fabric, and finishing [2-4]. PET has good moisture wicking properties, and is well priced. Considering sustainability, polyester production requires less land and water to cotton. The lifecycle assessment of cotton and polyester has been detailed with pros and cons for both cotton and PET [5].
Sensory evaluation is premised on the competence of humans, to execute objective measurements of sensations. Studies have been undertaken to develop and use instruments to measure sensory related attributes [6-8]. But, measured parameters cannot directly reflect human sensation in a precise way.
Multivariate analysis and methods based on intelligent techniques (e.g. neural networks, fuzzy logic) have been used to model fabric sensory attributes, in relation to process parameters and instrumental measurements [9-10]. Intelligent algorithms, which we partly employed, are particularly robust and effective, as they imitate the human process of intuition through pair-wise comparisons.
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Kamalha, E., Koehl, L., & Campagne, C. (2016). Classification and measure of quantitative difference between polyester and cotton fabrics based on sensory analysis. Science Et Technologies, 1022–1028. https://doi.org/10.1142/9789813146976_0158