Thermo-physiological comfort of half bleached woven fabrics made from different cotton yarns parameters

ABSTRACT

Thermo-physiological comfort of apparel clothing must be suitable for the wearer both in winter and summer seasons. Poor thermo-physiological properties can lead to discomfort, fluctuation in body temperature, poor sweat management during wear and can affect human health as well as work efficiency. For this reason, optimum thermo-physiological comfort of clothing is a prerequisite by users for any given weather. The aim of this study was to investigate the effect of cotton yarn parameters on the thermo-physiological comfort of woven fabrics. Four types of woven fabrics were developed from cotton yarn with different counts, twist, coefficient of variation of mass (CVm), neps, hairiness, thin places, thick places, strength, and elongation. Yarn samples were produced separately by carding and rotor span before they were woven on an air jet machine with the same settings. Finally, the woven fabrics were finished in a combined finishing treatment process. Thermo-physiological properties of fabrics were measured and analyzed. Statistically analyzed results showed that thermal resistance, thermal conductivity, thermal absorptivity, and air permeability of fabrics had statistically significant change with P values of 0.029, 0.035, 0.005, and 0.000, respectively. Model equations were developed based on the results to predict the comfort of the fabric.

摘要

服装的热生理舒适性必须适合冬季和夏季的穿着者. 不良的热生理特性会导致不适，体温波动，穿着时排汗不畅，影响人体健康和工作效率. 因此，在任何特定的天气条件下，服装的最佳热生理舒适性都是使用者的先决条件. 研究了棉纱工艺参数对机织物热生理舒适性的影响. 以棉纱为原料，采用不同的支数、捻度、质量变异系数（CVm）、棉结、毛羽、薄处、厚处、强力和伸长率，开发了四种机织物. 在喷气织机上以相同的设置织造前，分别用梳棉机和转子跨距法生产纱线样品. 最后，采用复合整理工艺对机织物进行整理. 对织物的热生理性能进行了测试和分析. 统计分析结果表明，织物的热阻、热导率、吸热率和透气性变化显著，P值分别为0.029、0.035、0.005和0.000. 在此基础上建立了预测织物舒适性的模型方程.

KEYWORDS:

• Fabric comfort
• thermal properties
• permeability
• thermo-physiological comfort
• comfort prediction
• thermal absorptivity
• thermal diffusivity
• water vapor resistance
• wicking ability

关键词:

• 面料舒适性
• 热性能
• 渗透
• 热生理舒适性
• 舒适度预测
• 热吸收率
• 热扩散率
• 抗水蒸气性
• 芯吸能力

Acknowledgments

The work was supported by Bahir Dar Textile Share Company. We appreciate Ing. Pavla Tesinova, Vice-dean for International Relations and Erasmus+ faculty coordinator, Textile Engineering Faculty, Technical University of Liberec, Czech Republic, for allowed to use Alambeta and Permetest instruments.