Study On Moisture Transport Of Cotton-containing Fabrics

Study on moisture absorbent and transport of fabric has been a concern and fruitful results in recent years.Currently available moisture-wicking fabrics are mostly composed of chemical fibres with excellent wicking properties,which can provide necessary comfort performance for wearers who are engaged in strenuous exercise or who sweat a lot at high ambient temperature.Cotton fabric is natural?environmentally friendly and provides excellent comfort when the wearer is in a comfortable temperature / without a sweat.However,when people sweat,cotton fabric is easy to absorb sweat and adhere to the skin to generate clammy feeling,which is uncomfortable and affects the appearance.Therefore,the integration of advantages of wicking chemical fibre and natural fibre,it is of great market value to develop a comfortable fabric suitable for a wider range of human sweating or environmental temperature variation.From the viewpoint of natural cotton fabrics,this research explores the feasibility of cotton-containing moisture-wicking fabrics and the reasonable content of cotton fibres through the introduction of wicking chemical fibres;and commitment to realize the characterization of the wicking process of cotton-containing fabrics to guide development and production.Firstly,designing and weaving 5 different plain weave fabrics by using the same warp cotton yarn and different weft yarn composition with different ratio of Cotton/Coolbst,and the cotton fibre content in each fabric ranged from 50% to 100%.Test and analyze its wicking properties and draw conclusions: The development of cotton-containing moisture-wicking fabrics is feasible,but the wicking properties of the fabrics are highly negatively correlated with the cotton content,so that the selection of cotton content in fabric needs to be reasonable and cautious;also introducing an appropriate amount of wicking fibre so that the designed fabric also has good wicking properties while preserving the comfort of the cotton fabric.Then based on the wicking performance measurement test data of fabric samples with different cotton fibre content(50%~100%),including self-made fabrics and collected samples,explore the more reasonable characterization of wicking process from the perspective of the classical model and linear regression analysis.The existing wicking model neglects the complexity of the structure of textile material,and can not effectively characterize the influence of the wetting and swelling characteristics of the cotton fibre on the capillary diameter,and there is a gap with reality.In this paper,Monte Carlo Simulation method is used to simulate the unevenness of the capillary structure of textile materials and the structural changes of cotton fibres in the wicking process,and to construct a reasonable wicking probability model of cotton-containing fabric.The premise of the establishment of a probability model is the determination of the performance function and the definition of the distribution of the variable parameters.The analysis of the classical model is based on the Washburn equation.The MC simulation method was used to quantitatively analyze its limitations.Then,the limitations of the equations were corrected by the introduction of variables and parameters.The fitted distribution functions of each variable and parameters were obtained by Matlab and Origin respectively,and the modified Washburn Probability Model was obtained.Linear regression analysis is based on the statistical software Minitab,multivariate classification linear regression fitting for the data of self-made and collected samples who have different cotton fibre content(50%~100%)and different weft fibre composition(cotton/ultra-fine polyester,cotton/profile polyester fibre Coolbst,pure cotton),to obtain the regression function between the wicking height and the structural parameters of fabric,and with the assumption of distribution type and C.V.value to obtain the distribution function of the fabric compactness;A Multivariate Linear Regression Probability Model for three types of cotton-containing fabrics was obtained.Monte Carlo Simulation experiments were carried out based on the constructed probability model,and comparing with the experimental data of the sample,it was found that the modified Washburn Probability Model can effectively characterize the wicking process of cotton fabrics after wetting under certain conditions;and The Multiple Linear Regression Probability Model can reflect the influence of fabric structural parameters and the type of fibre composition in the fabric on the wicking property of the fabric within a certain range.Finally,collecting other samples with the same cotton content range of 50%~100 % but different structure,and expand the range of experimental conditions.Compare the data of measurement test and MC simulation test of the samples to verify the feasibility of further expansion and application of the two models.The results show that the modified Washburn Probability Model can effectively predict the wicking height of cotton fabrics in the wicking time range from 0-30 min and its variation with time,and the prediction accuracy of Regression Probability Model of the wicking ability for the specified three types of fabrics has also been verified.The establishment of two wicking probability models is numerically characterized from 2 different points to describe the wetting and wicking process of cotton-containing fabrics and to realize the characterization of the unevenness and instability of the capillary structure in the form of the probability distribution.It provides a theoretical basis for the research and development of cotton-containing moisture-wicking fabrics and plays a guiding role.