Investigation on thermo-physiological and compression characteristics of weft-knitted 3D spacer fabrics
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Date
2016
Journal Title
Journal ISSN
Volume Title
Publisher
Taylor and Francis Ltd.
Technical University of Liberec
Technical University of Liberec
Abstract
The thermo-physiological comfort and compression properties of knitted spacer fabrics have been evaluated by varying the different spacer fabric parameters. Air permeability and water vapor transmission of the fabrics were measured using the Textest FX-3300 air permeability tester and PERMETEST. Thermal behavior of fabrics was evaluated by (TCi) thermal conductivity analyzer and overall moisture management capacity was evaluated by moisture management tester. Spacer fabrics compression properties were also tested using KES-FB3. In the KES testing, the compression resilience, work of compression, linearity of compression, and other parameters were calculated from the pressureāthickness curves. Analysis of variance was performed using new statistical software named QC expert trylobite and Darwin in order to compare the influence of different fabric parameters on thermo-physiological and compression behavior of samples. This study established that the raw materials, type of spacer yarn, density, thickness, and tightness of surface layer have significant influence on both thermal conductivity and work of compression in spacer fabrics. The parameter which mainly influences the water vapor permeability of these fabrics is the property of raw material i.e. the wetting and wicking properties of fibers. The Pearson correlation between moisture capacity of the fabrics and water vapor permeability was found. Ā© 2016 The Textile Institute
Description
Subject(s)
3D spacer fabrics, Keywords, moisture management, resilience of compression (RC), thermal conductivity, work of compression (WC), air permeability, Correlation methods, Fabrics, Moisture, Physiological models, Physiology, Water vapor, Moisture management, resilience of compression (RC), Spacer fabrics, Data compression
Citation
ISSN
405000