Yarn Count Research Articles

Research of Warp Structure Modelling for Calculation of Two Guidebars Warp Knitted Fabric Parameters

Abstract. Warp knitted fabrics were known as rather complicated structures. Until now, only geometrical models for general warp knitted structures were presented. Calculation of two guidebars warp knitted fabric parameters using geometrical models was limited. This paper presented an extension of available geometrical models for simulation warp knitted structures parameters such as fabric thickness, looplength, warp and weft density, fabric area porosity, fabric mass density. The theorical parameters were compared to experimental parameters to verify the built fabric model during the calculation of the geometrical form warp knitted structures. The proposed geometrical model was applied for two types of tricot-tricot fabric knitted from polyamide and polyurethane with different yarn counts. The results showed the differences between theorical parameters calculated by the model and the experimental parameters were 1% - 4% for fabric area mass, up to 9% for the fabric warp and weft density and about 90 % difference in fabric area porosity, which recommended the built model could be applied to calculate the fabric parameters and need to continue developing for of the physico-mechanical warp knitted properties.

Effect of process parameters of viscose air–jet yarns on physical and mechanical properties of weft knitted fabrics

Purpose The purpose of this study is to evaluate the effect of process parameters of viscose air-jet yarns produced by the Autoairo yarn spinning machine on the physical and mechanical properties of yarns and their influence on the properties of single jersey weft knitted fabrics. Design/methodology/approach The yarn count in this study was 19.68 tex and the gauge of single jersey weft knitting machine was 24. The process parameters were the spinning draft, delivery speed and nozzle air pressure. The yarn samples were evaluated based on yarn irregularity and imperfections, as well as hairiness and tensile properties. The pilling, bursting strength, drape coefficient, shrinkage, air permeability and dyeability of single jersey weft knitted samples were also evaluated. The Taguchi method was used to design of experiments. Moreover, the effect of independent variables on the physical properties of the yarn was tested statistically at a 95% level of confidence using analysis of variance method. Findings The properties of the yarns evaluated showed that spinning draft and delivery speed can be introduced as two effective parameters on different properties of yarns. Moreover, the pilling of weft-knitted fabrics was affected by yarn parameters i.e. spinning draft and delivery speed statistically at a 95% confidence level. Originality/value In this experimental study, the structural characteristics of air jet yarns produced by the Autoairo11(Saurer Group) machine and the physical and mechanical properties of weft-knitted fabrics were analyzed by the authors. The literature review did not reveal any experimental work that evaluates these process parameters of yarn spinning integrated and its effect on a wide range of properties of weft-knitted fabrics.

Effect of structural parameters on formability of auxetic weft-knitted fabrics based on zigzag structure

Auxetic materials are characterized by a negative Poisson’s ratio (NPR), which expands when stretched and shrinks when compressed. Due to the synclastic curvature of auxetics, they have good formability. These properties make them useful in applications requiring formability, such as composites, fashion and clothing, medical, protective, and sports fields. In this research, auxetic weft-knitted fabrics based on foldable structures were knitted. The effect of structural parameters including fabric pattern, yarn count, and loop length on the formability of auxetic weft-knitted fabrics was investigated and compared to plain weft-knitted fabric (Jersey). Auxetic fabrics with three distinct patterns and three different loop lengths were knitted using polyester yarns of varying three counts. Then, the formability experiment was conducted using the hemisphere mold, and the forming energy of fabric samples was obtained. The results demonstrated that auxetic fabrics exhibit superior formability to conventional (non-auxetic) fabrics, attributed to their synclastic curvature. Among the auxetic fabrics, those with larger zigzag angles, finer yarn counts, and larger loop lengths showed higher formability. These findings enhance the potential applications of auxetic fabrics in various industries such as medical and protective, emphasizing their ability to conform to complex shapes with minimal wrinkling.

Investigation the yarn to yarn static and kinetic friction based on the response surface method

One of the most significant physical characteristics of textiles is friction, which has a direct bearing on how they behave mechanically. This characteristic has been researched in a variety of methods thus far, demonstrating its significance. The static and kinetic coefficients of friction in yarn to yarn interaction have been examined in this paper by considering a number of variables, including yarn count (33, 50, 57, and 65 Tex), yarn movement speed (30, 45, and 60 mm/min), angle of yarn placement (0, 45, and 90 degrees), and surface reaction force (5, 10 and 15 g). To this aim, 32 different experiments were designed using the central composite design approach in order find the static and kinetic coefficients of friction. The outcomes were then statistically analyzed. The relationship between the friction coefficients and the aforementioned parameters was investigated as well. Next, a model with 93% and 85% accuracy for the static and kinetic coefficients of friction, respectively, was obtained using the response surface method. Additionally, the relationship between the friction coefficients and each of the aforementioned parameters was assessed.

The superior ballistic performance of highly stretchable and flexible double-face knitted fabrics (DFKF): An experimental investigation

When the protective and protected systems are detached, the former can be allowed to absorb the kinetic energy of the impacting projectile through large deformation without considering the back face signature of the latter. This paper presents a novel double-face knitted fabric (DFKF) designed for this very impacting scenario. Shooting tests equipped with high-speed camera were used to characterize the ballistic performance with the impact velocities ranging from 100 m/s to 450 m/s. The results showed that the ballistic limits (Vbl) of DFKF are approximately triple and double that of its counterpart UD and plain fabrics, respectively. For mass-normalized metrics, the specific energy absorption (SEA) is 250% and 350% greater than the UD and plain fabrics at their corresponding Vbls. The quasi-static tests showed that the DFKF displayed greater resilience, crease recovery properties, and flexibility, which also made it an especially better candidate than UD and plain weaves for the design of umbrella surface cloth. It was also found that DFKF is dependent on yarn count and the incorporation of spandex. A prototype anti-ballistic umbrella is manufactured using DFKF made of 200D multi-filament yarn. The ballistic performance is also sensitive to the impact site when the umbrella is subjected to impact.

Artificial neural network models for predicting breaking strength and abrasion resistance properties of woven fabrics with different chenille yarns

This study was carried out with aim of predicting some performance properties of fabrics with changing chenille yarn parameters. In this study, different chenille yarns were produced with parameters of pile length, yarn count and yarn type. Three different yarn types were used: polyester, acrylic and viscose. Four different yarn counts were used for each yarn type and four different pile lengths were used for each yarn count. Thus, 48 woven fabrics were obtained from 48 different yarns. The estimated properties included breaking strength in weft-warp direction and abrasion resistance, and these properties formed output data. As input data, yarn properties such as pile length, yarn count and yarn type; fabric properties such as fabric density, fabric thickness and fabric weight were used. Neural network toolbox in MATLAB was used to develop Artificial Neural Network (ANN) models. Different network structures were used to estimate three performance features, thus aiming to obtain more accurate results. Additionally, predictions were made with linear and nonlinear multiple regression models, and compared with ANN models. The R2 values ​​obtained from ANN models for breaking strength in the warp-weft direction and abrasion resistance were found to be 0.95, 0.74, 0.87, respectively, while they were found to be 0.32, 0.40, 0.41 for linear multiple regression models and 0.65, 0.27, 0.60 for nonlinear multiple regression models. The obtained ANN models were successful by a clear margin compared to statistical models.

Construction and characterization of pickering emulsion stabilized by amphoteric microgel and its application in cotton fabric

Studies with regard to how to obtain superhydrophobic properties by directly coating emulsified silicone oil onto the surface of cotton fabric have always been a hot topic in the field of textiles. In this paper, an amphoteric microgel with thermo- and pH-responsive ability was synthesized. Subsequently, a series of Poly(methylhydrosiloxane) (PMHS) /water emulsions were prepared by using these amphoteric microgels as a Pickering emulsifier. When the PMHS/water system's mass ratio was 5/5 and the microgel content was kept at 2.0 wt%, this emulsion showed good stability allowing the PMHS parts to be dispersed uniformly in aqueous solution. The optical microscopy showed the emulsion's particle size was in a range from 5 to 20 μm and the stability test confirmed that no stratification occurred when this emulsion was subjected to 3000 rpm for 30 min. By using this emulsion as a post-treatment reagent, cotton fabrics with different yarn counts can obtain a water contact angle as high as 150o, which is about 25 % higher than commercial emulsifiers. Furthermore, this cotton fabric can hold superhydrophobicity after 50 rubbing cycles and 10 peel-off cycles. The development of this work provides a new direction for the study of the application of microgels.

Effects of finishing processes on physical properties of knitted fabrics produced by recycled cotton fibers

This study examines conventional wet-finishing processes applicable to fabrics containing recycled cotton fibers. The knitted fabrics were produced using open-end and compact yarns, with up to 80% of the cotton fibers being obtained from mechanical recycling of pre-consumer textile wastes. The study evaluated the effects of these finishing processes on the physical properties of the fabrics based on the recycled fiber ratio, yarn type, and yarn count. After determining the parameters for enzymatic bio-polishing, scouring, and color removal processes, two sequential finishing routes were designed: using the fabrics as mélange without a dyeing process (F1) or coloring them with color stripping and subsequent dyeing (F2). The resulting fabrics were tested for bursting strength, pilling resistance, weight, thickness, air permeability, and abrasion resistance, and the results were evaluated statistically. The study demonstrated that compact yarns provide superior strength, particularly when the F2 process was employed. The F2 process resulted in high pilling resistance and increased breathability of recycled knitted fabrics. The study concluded that the quality of fabrics containing recycled cotton fibers could be optimized by the selection of the appropriate finishing processes.

Exploring the Traditional Turkish Ucetek Entari of the Late Ottoman Era from the Izmir Ethnography Museum Collection

The ucetek entari, üç etek or three-skirt robe, was the main element of traditional Turkish women’s clothing, worn with a chemise and shalwar. The features of this special garment extend to the clothing culture of the ancestors of the Turks who lived in Eurasia. The structure of the ucetek entari is typical Ottoman attire, with a small standup collar, long sleeves open up to the elbows, high slits on each side of the skirt, and triangular pieces added for fullness. This research was conducted in the Izmir Ethnography Museum to analyze the fabrics, embroidery, and pattern-making techniques of the ucetek entari, along with their zero waste and multifunctional design approach. The main fabrics, linings, facings, their yarn count in the warp and weft directions, pattern dimensions, embroidery properties, other surface decorations, and technical drawings of the robes were photographed and examined in detail. The results revealed that ucetek entaris were daily or special occasion wear which were designed using mostly silk and cotton fabrics. The focus of this research is to analyze in depth the ucetek entaris in the Izmir Ethnography Museum.

Effect of the blending between upland and combing waste on cotton fiber and yarn quality

Blending of cotton wastes with raw materials to produce different textile products has economically and environmentally beneficial. This study was carried out in Cotton Research Institute, Agricultural Research Center. This investigation aimed to study the impact of blending ratio on fiber, mechanical and physical yarn quality properties to find out the optimum blending ratio that achieves the optimum yarn quality properties. For this purpose, fiber properties, mechanical and physical yarn quality properties of ring spun yarns produced from cotton variety Giza95, Delta pine245 cotton variety (upland cotton) combed cotton waste of Extra Fine Giza93 and six different binary blend ratios were studied. Blended samples were spun into 36s, and 40s, carded yarns at constant twist multiplier 4 on ring spinning system. the results showed that fiber properties, Physical and mechanical properties of yarns produced from Giza95 were better than 100% upland cotton, 100% combed cotton waste and the other blended yarns.65% Giza95-35% combed waste of blended samples recorded higher fiber properties(maturity ratio, fiber length, uniformity index, fiber strength and fiber elongation) than all blended samples.Also,the same blended ratio at 36s, yarn count give better lea count product strength, yarn strength, yarn elongation, evenness, imperfections and yarn hairiness compared with all blended yarns followed by 65% combed waste - 35% Giza95.While, the lowest yarn quality properties recorded by The blended yarn of 35% Giza95-65% Delta pine245. Also, it observed that increasing proportion of G95 cotton variety in blended samples led to improve fiber, mechanical and physical yarn properties

An Investigation of Bursting Strength on Single Jersey Weft Knitted Fabrics

This paper investigates the bursting strength performance of single jersey weft knitted fabrics. The objective of the study is to find out the impact of the yarn count ,stitch length , stitch density, fabric thickness, loop shape factor, tightness factor ,GSM and porosity on the bursting strength of the single jersey weft knitted fabric. The experimental results have been statistically evaluated with Analysis ofVariance (ANOVA) test , Results show thatstitch length , stitch density, fabric thickness, loop shape factor, tightness factor ,GSM and porosity areeffective on bursting strength and individual ANOVA test results show that stitch density , fabric thickness , tightness factor , GSM and porosity are Individually effective on bursting strength .the GSM parameter of the fabric is fundamental for bursting strength , the correlation relation and R square values of GSM with bursting strength found to be in order 0.839& 0.9438

SUSTAINABILITY THROUGH TEXTILES RECYCLING: YARN REUSE, ENVIRONMENTAL AND HUMAN HEALTH IMPACT

For the sake of achieving the goals of economic growth and welfare increase, world resources are consumed recklessly and cause the generation of very high amounts of waste. This imbalance, consisting of production and consumption phases, has caused the ecosystem to be negatively affected. Although the waste recycling sector is an important sector in Turkey, additional studies are needed to ensure social awareness on waste management, research and development studies, and conversion of textile waste into high value-added products. A significant part of the waste in Turkey is used in yarn production. In this study; A research was conducted on the recycling processes of cotton yarn waste in a business for sustainability. Breaking strength values of yarns containing 10-50% waste in 3 different yarn counts, namely Ne 10, Ne 20 and Ne 30, were estimated by fuzzy logic modeling and the effects of textile waste on the environment and human health were examined.

Effect of abrasion level on surface handling and thermal conductivity of blended suit fabrics

The tactile comfort of garments is of great interest for researchers to achieve their performance efficiently. This research aims to study the ability of blended worsted fabrics to be used as men’s suits by checking the thermal conductivity (k) and surface handling properties that are represented in surface roughness deviation (SMD), surface mean friction (MIU), and electrostatic properties before and after abrasion actions. Different levels of weft yarn counts (16 Ne and 24), weft density (19 and 21 per cm) and fabric weave structures (stripped twill 2/2 and stripped satin 4) were used. Abrasion weight loss percentage, thermal conductivity, surface roughness, and friction in warp and weft directions, and electrostatic properties were measured. Results showed that all the fabric factors studied are significant to affect abrasion weight loss percentages, thermal conductivity, and fabric roughness in the weft and warp directions. Fabric friction behavior follows the fabric roughness, but there is a difference between weft direction and warp direction. In addition, the fabrics achieved a reasonable resistance to form static charges after abrasion actions, and the fabric factors studied are not significant to affect the electrostatic properties except for abrasion cycles as P-value equals 0.03.

Effect of cotton‐polyester composite yarn on the physico‐mechanical and comfort properties of woven fabric

AbstractCotton is the most widely used natural cellulosic polymer and polyester is a synthetic polymer. The use of polyester fiber is increasing gradually day by day due to its strength and longevity, while the use of cotton fiber is decreasing due to its unavailability. At present, the use of cotton‐polyester composites is ubiquitous. This research work aims to assess the physical, mechanical and comfort properties of the woven fabric using cotton‐polyester composite yarns in a weft direction and coarser yarn count because of the use of these fabrics in the future for the denim manufacturing process. Four different samples were fabricated by using 100% cotton (10 Ne) yarn in the warp direction and 100% cotton, cotton‐polyester composite, and 100% polyester yarn in the weft direction of the fabric. Similar fabric and machine parameters were maintained for manufacturing all the samples. The samples were then tested for areal density, tensile strength, thickness, abrasion resistance and pilling, drape, flexural rigidity, and air permeability to find the optimum capability of the fabric. Physico‐mechanical properties with the proportion of increasing polyester components in fabrics improves areal density (184 to 199 g/m2), strength (almost 19 times in weft direction), drape (0.655% to 0.789%), and flexural rigidity (almost double). On the other hand, increasing comfortability properties with the proportion of cotton components in fabrics improve air permeability (139.85 to 159.58 cc/s/cm2), abrasion (only 3.036% mass loss), and pilling resistance (grading 4 after 2000 cycles).Highlights Composite yarns made of cotton and polyester provide a method of improving fabric properties for better performance. Higher proportions of cotton make clothes more breathable and less likely to pill and wear out. Polyester parts make fabrics stronger, more durable, and less likely to wear out. Cotton‐polyester composites are ideal and have potential for various textile applications. Blending natural and synthetic fibers composite allows for customized fabrics that meet specific performance needs without compromising comfort.

Opportunities to reduce environmental burden by recycling fabric waste in a woollen fabric company

PurposeWool fiber is accepted as one of the natural and renewable sources and has been used in the apparel and textile industry since ancient times. However, wool fiber has the highest global warming potential value among conventional fibres due to its high land use and high methane gas generation. This study aimed to recycle the wool fabric wastes and also to create a mini eco-collection by using the produced yarns.Design/methodology/approachThis manuscript aimed to evaluate the fabric wastes of a woolen fabric producer company. Fabric wastes were opened with two different opening systems and fiber properties were determined. First, conventional ring yarns were produced in the company’s own spinning mill by mixing the opened fibres with the long fiber wastes of the company. In addition, opening wastes were mixed with different fibres (polyester, long wool waste, and Tencel fibres) between 25% and 70% in the short-staple yarn spinning mill and used in the production of conventional ring and OE-rotor yarns. Most of the yarns contained waste fibres at 50%. Recycled and virgin yarns were used as a weft and warp yarn and a total of 270 woven fabric samples were obtained and fabric properties were examined. Also, a fabric collection was created. A life cycle assessment (LCA) was made for one of the selected yarns.FindingsAt the end of the study, it was determined that it was possible to produce yarn and fabric samples from fiber blends containing high waste fiber ratios beyond 50%. All the woven fabric samples produced from conventional ring and OE-rotor yarns gave higher breaking, tearing and stitch slip strength values in the weft and warp direction than limit quality values of the company. In addition, abrasion resistance and WIRA steam stability properties of the fabric samples were also sufficient. Environmental analysis of the recycling of the wastes showed a possible decrease of about 9940034.3 kg CO2e per year in the global warming potential. In addition, fiber raw material expenses reduced yarn production cost about 50% in case of opened fabric waste usage. However, due to insufficient pilling resistance results, it was decided to evaluate the woven fabrics for the product groups such as shawls and blankets, where pilling resistance is less sought.Originality/valueThe original aspects of the article can be summarized under two headings. First, there are limited studies on the evaluation of wool wastes compared to cotton and polyester fibres and the number of samples examined was limited. However, this study was quite comprehensive in terms of opening type (rag and tearing), spinning systems (long and short spinning processes), fiber blends (waste 100% and blends with polyester, long wool waste and Tencel fibres) and yarn counts (coarser and finer). Recycled and virgin yarns were used as a weft and warp yarn and a total of 270 woven fabric samples were obtained using different colour combinations and weave types. All processes from fabric waste to product production were followed and evaluated. Life cycle assessment (LCA) and cost analysis was also done. The second unique aspect is that the problem of a real wool company was handled by taking the waste of the woolen company and a collection was created for the customer group of the company. Production was made under real production conditions. Therefore, this study will provide important findings to the research field about recycling, sustainability etc.

Investigating the impact of fiber and yarn structure on yarn tensile properties: A computational approach with artificial neural networks

The properties of yarns strongly depend on the fibers and spinning techniques used to manufacture them. It is imperative to investigate the influence of diverse fibers and yarn structures on the tensile properties of the yarns. Simultaneously, it is equally important to forecast these properties to mitigate costs, reduce waste, prevent faults, and achieve the desired performance in the final products. This study used three different fibers, namely conventional polyester, coolmax, and thermolite, and four different spinning techniques, namely conventional ring, compact, siro, and siro-compact spinning, to develop ring-spun yarns. The effect of fiber and spinning technique was investigated on lea strength (usually taken as count of yarn × lea strength (CLSP)), single yarn strength, and breaking elongation of the developed yarns. An artificial neural network model (ANN) was designed to predict the properties of the yarns using varying fiber types and spinning techniques. The yarns made of conventional polyester fibers resulted in the highest strength of the yarns, whereas coolmax fibers imparted maximum breaking elongation to the yarn compared with other fibers. Conventional ring spun yarns showed minimum strength, whereas siro yarns showed the highest strength among all the yarn samples. The ANN model predicted the CLSP, single yarn strength as well, and breaking elongation of the yarn with the highest accuracy as indicated by the R2-value, which suggests the model can be used reliably and accurately for the prediction of tensile properties of the yarns for different fibers and yarn structures.

Enhancing Textile Cotton Yarn Sizing: Investigating Factors Impacting Breaking Strength, Pick-Up Percentage, and Elongation Loss

ABSTRACT The paper investigates the effect of machine setting on breaking strength, breaking elongation, and pick-up percentage of sized yarn properties. The factors considered are concentration of size solution, squeezing pressure and counts of yarn, the aim to develop a regression model that shows the effect of factors on size pick-up percentage, breaking strength regain, and loss in breaking elongation. The experiment is conducted by using 16 Ne and 21 Ne of cotton yarn, 3 Bar and 5 Bar of squeezing pressure, and 1.9% and 6% of size concentration with maize starch as sizing agent. A factorial design with two factors and 5 replicants has been used to design the experiment and analyze the results. The result showed that a slight change in squeezing pressure and concentration significantly affects the pick-up percentage, breaking strength regain and breaking elongation loss while a change of yarn count would not have a significant effect on the pick-up percentage of sized yarn. Furthermore, for achieving optimum properties of the sized yarn the pressure of squeezing, the count of the yarn and the concentration of the solution should be adjusted, and a regression model is developed to investigate the properties of the sized yarn by considering considered factors.

Investigate the Effects of Different Yarn Counts on the Properties of Kevlar 29 for Multifunction Applications

Investigate the Effects of Different Yarn Counts on the Properties of Kevlar 29 for Multifunction Applications

The Effect of Production Parameters Of Face to face Warp Velvet Fabric on Abrasion Resistance and Colour Properties.

Nowadays, velvet fabrics are widely used in upper clothing, curtains and especially upholsteries. One of the most important problems encountered in them is the distancing of the piles from the surface of the fabric and the other is discoloration over time. In addition to the fabric properties, yarn and fiber properties also affect this situation. In this article, the effect of fabric abrasion on the production parameters was investigated in face to face warp velvet fabrics. The abrasion resistance of 100% cotton (10, 15, and 20 thousand rpm (rotation per minute)) and 100% polyester (30, 45, and 60 thousand rpm (rotation per minute)) velvet fabrics has been tested. The fabrics were produced using 3 different weft yarn counts (150, 300, and 450 deniers for polyester and 6, 12, and 20 Ne for cotton), 3 different weft densities (20, 22, and 24 picks/cm for polyester and 11, 13, and 15 picks/cm for cotton), 3 different pile heights (2, 3, and 4 cm) and two different pile connection types (V and W), and the abrasion of the fabrics was tested with a Martindale device. The results were analyzed. In addition, The effects of production parameters on fabric color were investigated in face to face warp velvet fabrics. Cotton fabrics were dyed with reactive blue, yellow and red, while polyester fabrics were dyed with disperse blue, yellow and red. Color properties and gloss have been tested and the results were analyzed. According to the test results, the increase in weft yarn count (increasing denier/decreasing Ne) causes an increase in abrasion resistance, while the increase in pile height reduces the abrasion resistance. The W bonded fabrics were found to be more resistant to abrasion than the V bonded fabrics. The color properties of the fabrics produced were tested in spectrophotometer test devices and the effects of production parameters were analyzed. It was determined that deep colors such as blue and red have an effect on color properties, while light colors such as raw fabric and yellow velvet fabric do not have a significant effect. It was also detected that raw and yellow velvet fabrics have more gloss than blue and red velvet fabrics.

Investigation of the French Terry structure characteristics on sport-veiling using sustainable eco-materials

Purpose This paper aims to produce sustainable sport-hijab or veiling using cotton and bamboo as renewable and eco-material blending with polyester. Due to the unique characteristics of the knitting fabrics, the research focused on constructing the proposed samples using a circular knitting technique with a French terry structure, to achieve comfort, ease of care, good appearance and sustainability in different climatic conditions. Design/methodology/approach The researchers formed three different knitted samples using yarn count 30/1Ne for cotton and bamboo and 70 dens for polyester yarn, using the same blending ratio of 50:50% (cotton/polyester, bamboo/ polyester and cotton/ bamboo). They tested several mechanical and physical properties (weight, thickness, air permeability, water permeability, electrostatic charges, ultraviolet protection factor, stiffness, pilling resistance and bursting strength). Findings Using different tools, the researchers statistically analyzed the influence of variables on sample properties, including a Chart line, ANOVA test at p-value = 0.05 and the least significant differences values to identify the effect significantly as well as demonstrate the interaction among the samples at each tested property. Finally, radar chart areas to clarify the preferable sample performance. Originality/value The findings declared that blending materials used significantly affected most properties of the produced samples, except for the water permeability and an electrostatic charge. Furthermore, the findings pointed out that blending (cotton or bamboo/polyester) is more efficient and desirable than blending (cotton/ bamboo). Additionally, based on radar charts analysis, the cotton/polyester knitted outperforms other blended materials samples in producing sport-hijab or veiling fabric.