Air Permeability Of Fabrics Research Articles

Study on Special Shaped Polyester Fibers and Development of Products

Non-circular profiled fibers are generally synthetic fibers that have a modified cross-section shape, which are created to mimic natural fibers or to obtain special properties. The shape of the cross-section has great influence on the properties of profiled polyester (PET) fibers and their fabrics. The structure and properties of flat-shaped and hexagonal-shaped profiled PET fibers and ordinary PET fibers, as well as the properties of their knit fabrics were characterized. Experimental results showed that air permeability, heat retention, and wrinkle resilience of profiled PET fabrics were better than that of circular a cross-section PET fiber fabric, while the circular cross-section PET fabric was softer than the profiled PET fiber fabrics.

Preparation of Cross-Linked Cellulase Aggregate and Application to Cool Finishing of Cotton Fabric

Cellulase was immobilized by cross-linked enzyme aggregation to improve the stability of cellulase. The prepared cross-linked cellulase aggregates (CLCAs) and ice silicone oil were used for the cool finishing of cotton fabric. The results showed that the CLCAs extended the cellulase stability compared to free cellulase. The surface softness, smoothness, moisture permeability, and air permeability of the cotton fabric increased after CLCAs and ice silicone oil treatment. Shearing rigidity of the treated sample was 0.44 cN/(cm·deg), bending rigidity was 0.0069 cN cm, and the drape coefficient was 29.3%. Coefficient of kinetic friction of the treated sample was 0.186. The capillary effect of the treated fabric was 12.1 cm/(30 min). Air permeability was 354.3 L/(m2·s). Moisture penetrability was 3.912 g/(m2·d). The thermal and water-vapor resistance were 0.0194 m2·°C/W and 4.691 Pa·m2/W, respectively.

Analytical model for the air permeability of parachute fabric and structure parameters sensitivity analysis

To explore the effect of structure parameters on the air permeability of parachute fabric, the parachute fabric was treated as a porous medium. A nonlinear model of the viscosity and the inertia coefficient of the parachute fabric was established based on the Ergun formula, and an an alytical model of the fabric permeability with the fabric structure parameters was established considering the air permeability of fabric with the standard differential pressure. The results, which were compared with the two-point reverse estimation method showed that the new model is more accurate and has a wider applicable dynamic pressure range. Based on this, a sensitivity analysis of the effect of the fabric structure parameters on the air permeability of parachute fabric was conducted. The results showed that (1) the air permeability of fabric decreases with the increasing fabric planar weight and increases with the increasing fiber density and fabric thickness, and (2) the fabric planar weight has a greater influence on the air permeability of the fabric when the fabric structure parameter is less than the standard structure parameter. The thickness of the fabric has a significant effect on the air permeability of fabrics when the fabric structure parameter is greater than the standard structure parameter.

Preparation and evaluation of polyester-cotton/wire blended conductive woven fabrics for electromagnetic shielding

For the pursuit of conductive textiles with high electromagnetic shielding performance, specified yarns are processed with a special spinning feeding device with twist counts of 40 T, 50 T, 60 T, 70 T, 80 T, and 90 T, for Next, the optimal yarns from each group are made into SS/Pc-70 and Cu/Pc-80 conductive woven fabrics with a plain weave structure design. In addition, the surface resistivity, electromagnetic shielding effectiveness measurement and air permeability of the two conductive woven fabrics were tested and analyzed. Regarding the electromagnetic shielding performance test, the effects of the complete shielding network, the lamination layers of fabric, and lamination angle on the electromagnetic shielding performance are discussed. The test results indicate that Cu/Pc-80 woven fabrics has the lowest surface resistivity, which means it has the best electrical conductivity; Moreover, different types of metal wires provide the conductive fabrics with different levels of surface resistance. The variations in the lamination angles help attain a complete conductive network that significantly enhances the EMSE, and Cu/Pc-80 have a greater average shielding value comparatively and thus greater EMSE. For both types of conductive woven fabrics, one-layered conductive woven fabrics exhibit the maximal air permeability. As the air permeability of conductive woven fabrics is correlated with the thickness of fabrics, the greater the number of lamination layers, the lower the air permeability of the conductive fabrics.

Investigation of the Influence of Stretch on the Air Permeability of Knitted Fabric: Effect of Loop Length

Most of the time, a certain degree of stretch prominently and incrementally occurs in intimate wear, leisure wear, sportswear, medical textiles etc., during their action. Variations in the stretch gradient would definitely cause changes in the air permeability of knitted fabrics. The influence of variables such as loop length, the presence of an elastomeric component and fabric structure on the air permeability of cotton single jersey and pique knitted fabrics in a stretched state was critically analysed. In this work, changes in the air permeability of cotton jersey samples with and without elastomer were investigated and reported by keeping the samples in static up to an incremental stretch of 40% at a rate of 10% of the stretch gradient, in a dry relaxed state, wet relaxed state and fully relaxed state.

Enhancing antibacterial and flame-retardant performance of cotton fabric with an iminodiacetic acid-containing N-halamine

This research focused on preparing antibacterial and flame-retardant multifunctional cotton fabric to decrease the threat of harmful microorganism and fire, which might have huge potential application in household textiles. A water-soluble N-halamine precursor based on s-triazine (TIAPC) was synthesized by introducing iminodiacetic acid (IDA), which can chelate with metal ions to obtain flame retardancy. After coating with TIAPC, the cotton fabric was chlorinated in dilute bleach solution and chelated in metal salt solution to achieve antibacterial and flame-retardant properties. The surface morphology and chemical state of TIAPC-coated cotton fabric were characterized by FT-IR, XPS, SEM and EDX. The chlorinated TIAPC-coated cotton fabric displayed high-efficacy and rapid bactericidal effect against S. aureus and E. coli O157: H7 with 100% bacterial reduction in 1 min. Meanwhile, the chelated TIAPC-modified cotton fabric presented good thermal stability and char-forming capability. The hydrophobic property of modified cotton fabric was greatly improved after chlorination. Besides, this multifunctional coating had little effect on the cytotoxicity, tensile strength, air permeability, whiteness and drape of cotton fabric.

Influence of sublimation process on air permeability and water absorption dynamics

PurposeThe purpose of this research was to find the influence of sublimation process on air permeability and water absorption dynamics of knitted and woven polyester-based fabrics.Design/methodology/approachThree different sublimation designs were prepared and applied (keeping the same sublimation parameters) for eight variants of knitted and four variants of woven polyester-based fabrics. Air permeability and water absorption dynamics during 180s period was measured and compared before and after the sublimation process.FindingsAccording to the obtained results, high temperature and pressure applied in sublimation process have influence on the porosity and air permeability of knitted fabrics; however, the influence on water absorption dynamics is minimal. Sublimation design dos not have any influence on the mentioned properties.Originality/valueThe obtained results of the sublimation process influence on air permeability and water absorption dynamics of knitted and woven polyester-based fabrics will help to understand how sublimation process can affect comfort properties of textile fabrics.

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.

The influence of yarn parameters on thermo-physiological comfort of cotton woven fabrics

As the global temperature increases over time due to different environmental pollutions, apparel clothing with excellent thermo-physiological comfort needs to be developed to improve human health and comfort. 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 for users at any given weather. The aim of this study was to investigate the effect of cotton yarn parameters on 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 spun before they were woven on an air jet machine with same settings. Finally, the woven fabrics were finished in a combined finishing treatment process. Thermal resistance, thermal conductivity, thermal absorptivity, thermal diffusivity, air permeability and relative water vapor permeability of the woven 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 .029, .035, .005 and .000, respectively. However, from the results, the yarn parameters did not affect thermal diffusivity and water vapor permeability of fabrics. Model equations were developed based on the results to predict the comfort of the fabric from the yarn parameters.

Flow field simulation and structural parameter optimisation of vacuum adsorption system for textile fabrics

Vacuum adsorption and grabbing for textile fabrics is one key technology for intelligent garment processing. Owing to the softness and air permeability of textile fabrics, the design of vacuum adsorption grab device has lacked an effective method. In this paper the standard k-epsilon turbulence model is used to analyse the flow field in the suction cavity of vacuum adsorption device for textile fabrics, the optimisation design model of structural parameters is established and solved by the Fluent software, and the verification experiment is carried out. The experimental results show that the suction mechanism with optimised parameters can effectively absorb and grasp the fabric, and the negative pressure required is minimum. The research results show that the structure parameters such as the thickness of the suction cup cavity, the diameter of the suction hole, and the depth of the suction hole affect the adsorption performance of the vacuum adsorption device.

Uticaj tipa prediva potke i gustine potke na ponašanje pri sagorevanju, snagu cepanja i propusnosti vazduha za različite vrste antibakterijskih tkanina za draperije

Drapery fabrics are textile products utilized for home and decorative textiles. Recently there have been new functional requirements for the drapery fabrics such as flame retardancy, antimicrobial efficiency, UV protection, etc. This study has been conducted to investigate the effect of weft yarn type and weft density on drapery fabrics' burning behaviour, tearing strength and air permeability properties. "A special inherently flame-retardant yarn" was used as the warp and weft yarns of the woven drapery fabrics while "a special inherently and antibacterial yarn" was also used as the weft yarn in some of the sample groups. Two main fabric groups each consisting of 12 woven drapery samples with different weft yarns and weft densities were separately evaluated among themselves by using SPSS Statistical software package and bar graphs. Burning behaviours of the samples in terms of damage length and damage width with the ignition source were satisfying both for the drapery samples with the special inherently flame-retardant weft yarn as well as those with the special inherently flame retardant and antibacterial yarn weft yarns. In other words, usage of inherently flame retardant and antibacterial yarn as the weft yarns did not contribute negatively on the flame retardancy of drapery fabrics. The results of two-way ANOVA test indicated that weft yarn type was a significant factor for tearing strength in warp and weft wise while weft density and the interaction of weft yarn type and weft density factors were non-significant factors on tear strength values in warp and weft wises at significance level of 0.05. Additionally, correlation analyses revealed that weft yarn tenacity values were highly correlated with the drapery fabrics' weft tearing strength values. Moreover, weft yarn type, weft density and their interaction were influential factors on air permeability of the drapery fabrics at significance level of 0.05.

A Comparative Analysis of Polyester Fabric Properties between Dyed with Indigo and with Disperse Dyes

A study was carried out to compare several colorimetric, physical and comfort properties of polyester fabric dyed with indigo type vat dye and traditionally used disperse dye. It was observed that in terms of colorfastness properties the results were found similar for both the dyes, however in some cases indigo showed slightly better performances. While comparing physical properties, though pilling resistance was found similar, abrasion resistance and bursting strength were found better for disperse dyed fabric. The lower drape co-efficient, bending length and flexural rigidity exhibited the improvement of limpness of the indigo dyed sample. The comfort property was also found improved attributed by the enhanced air permeability of the indigo dyed polyester fabric.

Thermo-physiological Comfort of Woven Fabrics Made from Different Cellulosic Yarns

ABSTRACT Cellulose is the most abundant substance existing in the form of plants on the earth. These fibers are obtained either directly or indirectly from the seed, leaves, stem, or wood of plants. Cellulosic fibers are preferred for apparels owing to their abundance, ease of processing, biodegradation, and compatible with the human body in terms of better moisture management, thermal regulation, and tactile comfort. In this study, woven fabric made of four different cellulosic yarns, i.e. cotton, bamboo, tencel, and viscose were produced, and their thermo-physiological comfort properties were compared. The linear density of yarns, and thread density and weave structure (3/1 twill) of all the fabrics were kept constant on the weaving machine. Air permeability, thermal resistance, and moisture management tests were carried out to analyze their thermo-physiological comfort properties. The results showed that cotton fabric showed higher air permeability and thermal resistance as compared to other cellulosic fabrics. Whereas the moisture management properties of tencel fabric were superior to the rest of cellulosic fabrics. Moreover, the effect of cellulosic materials on air permeability and moisture management properties of the woven fabrics was found statistically significant.

Porous Film Coating Enabled by Polyvinyl Pyrrolidone (PVP) for Enhanced Air Permeability of Fabrics: The Effect of PVP Molecule Weight and Dosage.

This study developed a versatile and facile method for creating pores and tuning the porous structure in the polymer latex films by selectively etching the added functional polyvinyl pyrrolidone (PVP) molecules. The pore formed in the latex films had a similar morphology to that of PVP aggregation before etching. This observation promotes us to regulate the pore morphology that determines the film’s property, such as air permeability through varying the PVP molecule weight and dosage. To this end, the effects of PVP molecule weight and dosage on the pore formation were systematically studied. The results showed that the average pore size of porous film decreased from >10 μm to sub-micron (about 0.4 μm) as the molecular weight or the dosage of PVP increased. This was ascribed to the strong adsorption affinity of PVP molecule onto the latex particle surface, which further hindered the diffusion and self-assembly of PVP molecule. In addition, this interaction became much stronger when the higher molecule weight of PVP or the higher dosage of PVP was employed, leading to the decreased size of PVP aggregation, as well as the formed pores in the latex films. Furthermore, the addition of PVP had little effect on the color of coated fabric based on the results of CIE L*a*b* measurement. The proposed facile method can be used to improve the air permeability of coated fabrics.

Service Life Extension of Parachutes with Use of Non-Desctructive and Partially Destructive Testing Methods of Textile Materials

Abstract The specificity of personal rescue and reserve parachutes is the fact that they are practically never used for jumping during their service life as they are intended for use only in emergency situations. Therefore, these parachutes throughout the entire period of use are only periodically aired and repacked every 6-12 months. Airing and repacking is necessary even if the parachute is only stored. Rescue and reserve parachutes’ components wear unevenly because the canopy with the suspension lines is inside the container and the cover, while the external components of the harness and the container undergo typical operational wear. Therefore, the service life of rescue parachutes can even reach 20 years (this refers to the canopy with the suspension lines alone). During normal exploitation, parachutes are subjected to non-destructive visual and tactile inspection in preparation for packing. When a parachute reaches its maximum service life, extension of its service life can be calculated based on its technical condition. The procedure for extending parachute’s service life involves non-destructive tests at a fabric air permeability test stand and partially destructive tests at the strength test stand. In the paper, both methods are described and their advantages and disadvantages are discussed. Also, observations some regarding the packers’ work and the desired new properties of raw materials that could be introduced to the parachute industry are presented.

Evaluation of the Moisture and Thermal Characteristics of Knitted Sport Wear Fabrics (Dept.T)

The main aim of this work was study the effect of fiber composition on the moisture and thermal properties for sport wear knitted fabrics. We also studied the effect of using single and double layer fabric on the moisture and thermal properties of these fabrics. To know how heat and water are transported through each fabric, measurements of their physical properties (thermal resistance, thermal conductivity, thermal absorptivity, heat flow, relative water vapor permeability and air permeability) were made in laboratories. The effects of fiber composition and the clothing assembly (one or two layers) have a highly significant effect on both moisture and thermal properties of sport wear knitted fabrics and also there were a high correlation between fabric thickness, fabric porosity, fabric air permeability, the relative water vapor permeability and fabric thermal properties

Characterization and empirical analysis of hot water immersion with compression protective performance of fabrics used in firefighters’ clothing

This study aims to investigate hot water immersion with compression protective performance of textile fabrics used in firefighters’ clothing. This study has two key objectives – firstly, to characterize the protective performance of fabrics under different types of hot water immersion with compression exposures; secondly, to empirically analyze the protective performance of these fabrics under different exposures. To accomplish both the objectives, the physical properties (e.g., thickness, air permeability) of multi-layered fabrics that are commonly used in firefighters’ clothing were measured. Next, the protective performances of these fabrics were evaluated under different exposures. The experimental data obtained were statistically analyzed to identify the effects of the fabrics’ physical properties on the performance. Also, the performances provided by the fabrics were compared, and the nature of heat and mass transfer through the fabrics was explored. Using the significant fabric properties that affected the performance, Multiple Linear Regression (MLR) and Artificial Neural Network (ANN) modeling techniques were used to empirically predict the performance of the fabrics. The best prediction models were then employed for saliency testing to understand the relative importance of the significant fabric properties on the performance. The study demonstrates that the protective performance of textile fabrics varies with the exposures, depending upon the mass transfer through fabrics. In these exposures, fabric thickness, air or water-vapor permeability, and evaporative resistance are found to be the primary properties to consider in protecting the wearer. In this study, it has been identified that ANN models can be effectively used in comparison to MLR models for predicting the protective performance. By analyzing the best-fit ANN models, it is identified that different fabric properties play a key role in predicting the protective performance. Overall, this study would enhance the understanding of fabric materials used in firefighters’ clothing. This deeper understanding could be applied to engineer new test standards and fabric materials for clothing to provide optimum occupational health and safety for firefighters.

Thermophysiological comfort properties of woven fabrics produced from hybrid yarns containing copper wires

The aim of this study was to determine the thermophysiological comfort behavior of fabrics based on copper wire that can be used for electro-textile applications. For this purpose, hybrid folding yarns were produced by twisting cotton/polyester yarn with copper wire. These electrically conductive hybrid yarns were then used to produce upholstery fabrics with different weave types as plain, 2/1 twill and sateen weave in three different density levels as tight, medium and loose. Thermophysiological comfort properties such as air permeability, thermal and water vapor properties of the hybrid fabrics were measured. In addition, the heat transfer properties of the fabrics were investigated with thermal camera videos, and porosity values were determined from microscope images. In this way, the main thermophysiological comfort properties of the basic electro-textile structures were revealed. According to the results obtained, it was found that the use of conductive wire in the fabric structure did not negatively affect the thermophysiological comfort properties of the fabrics, and fabric density was a determining parameter in relation to the thermophysiological comfort properties of the fabrics. The obtained results of this study may be used to improve the design of electro-textile structures taking into account the thermophysiological comfort.

Predicting air permeability of multifilament polyester woven fabrics using developed fuzzy logic model

The number of filaments in yarn cross-section, weave density, and weave type are considered the most important factors that affect the property of air permeability of multifilament woven fabrics. Microfilament yarns significantly affect the air permeability property of this type of fabric because of the low porosity between the filaments. This study deals with the development of a fuzzy logic model for predicting the air permeability of multifilament polyester woven fabrics produced from conventional and microfilament yarns. The polyester multifilament yarns used in this study were produced with three different microfilament fineness and two conventional filament fineness levels. The woven fabric samples used in this study were obtained in three weave types: plain, twill, and satin, and with five different weave densities. In accordance with the experimental test results, both regression analysis and fuzzy logic system were built. The air permeability results generated from the developed fuzzy model and the regression equations were compared with the experimental values. Satisfactory and accurate prediction results were obtained with the developed fuzzy logic model. The mean absolute error of the fuzzy model and regression analysis were found to be 2.32%, 12.59%, respectively. Therefore, it was confirmed that the fuzzy model was superior in predicting air permeability.

Application of Darcy’s Law for Modeling Air Permeability of Nonwoven Needle-Punched Fabrics

The possibility of applying the approach developed to assess the permeability of water in porous systems of various nature was studied for predicting air permeability in non-woven needle-punched fabrics and processed materials based on polyester fibers with a linear density of 1.7 tex. The application of the proposed approach in predicting the air permeability of fabrics and materials is substantiated. Methods of modeling air permeability are considered and a correlation between the models for assessing the permeability of water and air is established.