Yarn Linear Density Research Articles

A COMPARISON OF THE THREE TECHNIQUES IN PREDICTING BREAKING STRENGTH OF COTTON AND BLENDED WOVEN FABRICS

With the development of technology, artificial intelligence applications in the textile industry are increasing. The uses of these methods present very good results in cases where statistical methods are lacking in the accurate evaluation and analysis of the past data of the enterprises and the estimation of their future situations. In this study, some models are developed, based on this relationship, to estimate the breaking strength of cotton woven fabrics and polyester/viscose blended woven fabrics separately. Breaking strength is considered one of the most important performance characteristics of woven fabrics. It is mostly determined by the structural elements of the fabric. Multiple linear regression, artificial neural networks and random forest algorithms are employed to perform statistical and stochastic analyses on these elements by using industrial data. A total of 147 fabric data sets in warp and weft directions were used for training and test data in cotton fabrics, and 53 fabric data sets in warp and weft directions in blended fabrics. Appropriate models are generated by using Minitab Statistics and Matlab software. Yarn linear densities, yarn production methods, twist amounts, fabric densities, crimp ratios, unit area weights, various weave factors and fabric structure factors were selected as variables of the models estimating the breaking strength of fabrics in both warp and weft directions. These factors were included in the models separately, and the subset that gave the best results was selected and the models were revised. For the three models created, it was seen that the regression models and models based on artificial neural networks performed well in both cotton fabrics and blended fabrics, while random forest algorithms were not very accurate in estimating the breaking strength.

Porosity determination of textile fabrics: A novel mathematical approach and experimental validation

Porosity is a crucial parameter that regulates permeability, comfort, and pathogen barriers in textile materials. A fabric with greater porosity allows for greater moisture exchange but is less effective as a pathogen barrier. So engineering the fabric to meet both comfort and barrier properties are essential. Various methods (airflow, liquid penetration, and Image processing) are used to determine the fabric's porosity after fabric manufacturing. The mathematical calculation of fabric porosity before fabric manufacturing will become very helpful for precise fabric development. This research paper introduces an innovative and customized mathematical model designed to determine the porosity and pore size of fabrics, utilizing essential parameters such as areal density, thickness, yarn diameter, and yarn linear density. The effectiveness of the modified equation for fabric porosity is tested by using twelve different fabric samples with different areal densities in experiments. The comprehensive testing conducted provides evidence of the adaptability and resilience of the suggested model, highlighting its potential for wider utilization within the sector. The pore size of the prepared fabrics is measured by a capillary flow poro-meter (CFP), and porosity is measured by image analysis using Python programming. A perfect positive correlation has been observed between calculated and experimental porosity values.

Geometrical modeling and experimental validation of 3D woven honeycomb fabric for lightweight aircrew helmet liner manufacturing

This research focused on the development of a honeycomb fabric by predicting the areal density suitable for aircrew helmet liner. The aim was to fulfill the requirements for the lightweight and mechanical properties of composite liner. The model was based on the structural characteristics of the preform, including the weave design and geometric parameters. The predicted areal density, based on varying yarn linear density and the number of picks in the free and bonded wall, was compared to experimental results and showed good agreement. A geometric model was derived to predict the areal density of 3D woven honeycomb preforms for producing the composite liner of aircrew helmet. The model was validated using experimental data from a variety of 3D woven honeycomb preforms, showing that it accurately predicts the areal density and can be used as a tool to design 3D woven honeycomb preforms for advanced composites.

Taguchi-TOPSIS based optimization of comfort in compression stockings for vascular disorders

Compression stockings/socks are one of the most essential materials to treat vascular disorders in veins. However, the comfort of wearing such stockings over prolonged period of time is a major problem. There is limited research in the area of comfort optimization while retaining the compressional performance. The current work is carried out with an aim to determine the optimum level of the input factors e.g., knitting structure, plaiting yarn linear density and main yarn linear density for achieving desired stretch recovery percentage and thermo-physiological comfort properties of compression socks used in treatment of vascular disorders. Their optimum combination was determined by using Taguchi based techniques for order of preference by similarity to ideal solution i.e., TOPIS. In this study, thickness, areal density, air permeability, thermal resistance, over all moisture management capacity (OMMC), stretch and recovery % were optimized simultaneously by using Taguchi-TOPSIS method. The results showed that linear density of plaiting and main yarn has significant influence on all the comfort related properties for compression stockings/socks. The optimum sample had linear density 20 denier for Lycra covered by 70 denier of nylon 66 in the plaiting yarn. It also suggested 120 denier nylon 66 in the main yarn knitted into a plain single jersey structure. The percentage contribution of the factors i.e., structure, plaiting yarn linear density and main yarn linear density was obtained by using ANOVA which are 7%, 31% and 42% respectively. It is worth mentioning that in case of compression stockings, the main yarn linear density has more significant effect on comfort properties as compared to other independent parameters. The results were verified by experiment, and the accuracy was relatively high (maximum error 8.533%). This study helped to select suitable knit structure with the change of linear densities of plaiting yarn and main yarn for comfortable compression stocking/sock and will fulfill the potential requirement for treatment of venous/vascular disorders. The novel methodology involving TOPSIS method helped in analyzing the cumulative contribution of the input parameters to achieve optimum compression as well as comfort performance. This modern approach is based on contemporary scientific principles and statistical approximations. This study may provide benchmark solutions to complex problems involving multiple interdependent criteria.

The energy consumption prediction of the direct cabling machine based on balloon theory

When the direct cabling machine produces cord, the active yarn feeder is usually used to control the balloon shape to reduce the energy consumption in the process of twisting. In order to rationally allocate the resources in the production workshop of direct cabling machine, the work proposed a prediction method of energy-consumption reduction for direct cabling machines based on balloon theory. The energy consumption of direct cabling machine with different balloon configuration parameters can be obtained. The prediction method consists of three main steps: (1) Analyze yarn force under the high velocity based on yarn balloon kinematics. (2) Take the energy consumed by the direct cabling machine corresponding to a balloon shape as the energy consumption benchmark. (3) Compare balloon shapes that need to be predicted with the referenced balloon shape to obtain the energy consumption prediction in a ratio. A mathematical balloon model was established on the MATLAB platform to test the influences of different working conditions on the prediction method. The simulation results showed that the influences of the yarn linear density, twist, and spindle speed on the method could be neglected. An experimental platform was built to test the energy consumption of the direct cabling machine under different working conditions and verify the rationality of the method. The results showed that the difference between the predicted energy consumption and the experimental results is acceptable.

The Effect of Ambient Humidity on the Performance of a Wearable Textile Triboelectric Generator

Research on the triboelectric phenomenon and its use in so‐called triboelectric generators (TEG) has often led scientists to study the various parameters involved in the production of electricity induced by the contact and friction of textile structures. Although the use of textile materials and structures to build textile‐based TEGs is of particular interest, thanks to the advantages they can offer, however, the parameter of ambient humidity acts intensively on triboelectricity, affecting their electric power outcomes. This study investigates the performance of purely textile‐based materials used in a TEG measuring device which combines vertical and sliding modes as if they are part of a wearable garment. Six single jersey‐knitted textile samples, of identical yarn linear densities, are prepared. One material (para‐aramid) is used as the reference sample and it is paired with the rest (cotton, modal, polyester, wool, and acrylic). Consequently, five material combinations are available for measuring under various relative humidity conditions. Through these test series which reflect how a textile‐based TEG would operate under real conditions when embedded in a garment, the results reveal the big impact of ambient humidity on the triboelectric voltage outcome.

Three-dimensional orthogonal woven hybrid fabrics in X band frequency region for electromagnetic shielding effectiveness

The three-dimensional fabric structures with metallic yarns and different fibers offer additional opportunities to enhance the electromagnetic shielding potential. This study involves the manufacturing of a Three-Dimensional Orthogonal Woven (3DOW) hybrid conductive fabric to be potentially used in an electromagnetic shielding field. 3DOW fabric consisting of copper filament-based core-sheath hybrid yarn in the weft direction has been manufactured to obtain maximum shielding effect. Hybrid yarns were produced using the DREF-III spinning technique, having copper filament in the core and sheathing by Polyphenylene Sulfide (PPS) staple fibers. The experiment was designed using Box-Behnken method. The orthogonal fabric samples are tested in an electromagnetic frequency region of 8-12 GHz using Free Space Measurement System (FSMS) to estimate absorbance, reflectance, and transmittance. Hybrid yarn parameters such as PPS fiber diameter, copper filament diameter, and yarn linear density considerably affect electromagnetic shielding. 3DOW fabric’s electromagnetic shielding effect increase with the diameter of the copper core filament, as does PPS yarn’s diameter, showing a promising trend towards shielding. The findings of orthogonal structure can be further extended in other Three-Dimensional structures like multi-layer, angle interlock, draperies, and tops for civilians and soldierly applications.

Mathematical model of multisegment balloons in ring spinning

High-speed ring spinning is limited by issues such as yarn quality and yarn breakage, and the spinning tension significantly affects yarn breakage and winding speed. The shape of the balloon in ring spinning is closely related to the distribution of tension within the yarn. In this study, a force analysis of the balloon yarn was conducted focusing on the balloon section during ring spinning, and a mathematical model of the balloon was established. The model included factors such as the centrifugal force, Coriolis force, and the air resistance of the yarn. Suitable parameters were then selected to extract the balloon trajectory curve and compare it with simulations to validate the model. The model was used to analyze the effects of balloon speed, yarn linear density, balloon bottom radius, balloon height, and yarn tension at the top of the balloon on the yarn tension at the bottom of the balloon, and the overall shape of the balloon. The balloon model established in this study could also be used for the study of balloon yarn tension in other processes. The effects of the main parameters influencing the yarn tension of the multi-balloon can provide a theoretical reference for enhancing the design of high-speed ring spinning.

Effect of Yarn Linear Density on Static and Dynamic Mechanical Properties of Jute Yarn Reinforced Epoxy Composites

Effect of Yarn Linear Density on Static and Dynamic Mechanical Properties of Jute Yarn Reinforced Epoxy Composites

Investigation of comfort properties of knitted fabrics made of core-spun vortex yarns

Different yarn spinning methods with different fiber combinations provide an optimization for the consumer requests of durability, functionality, comfort, and price. Vortex yarns and the fabrics produced from these yarns have aroused interest for the last years owing to lower yarn production cost and the satisfying fabric comfort properties. Within this work, core-spun vortex knitted fabrics of three different yarn count (400, 300, and 200 dtex) with six different core yarn type (70 dtex Polyvinyl alcohol, 110/36 dtex/filament polyester yarn, 80/36 dtex/filament polyester yarn, 110/333 dtex/filament micro polyester yarn, 50/96 dtex/filament, 120 dtex staple polyester vortex yarn) and two different sheath sliver types (100% viscose, polyester-viscose blended sliver) were studied. Moisture management transport property (MMT), water vapor permeability, and air permeability properties of those knitted fabrics were evaluated comparatively. Obtained results were statistically evaluated using three-way ANOVA test. It was determined that core yarn type, sheath sliver type, and yarn linear density were generally influential factors on MMT, water vapor permeability, air permeability properties of the core-spun vortex fabrics at significance level of 0.05. Correlation analyses between yarn hairiness and water vapor permeability as well as between yarn hairiness and air permeability were indicated. The conducted work provides an initial phase toward a better understanding of influence of some core-spun vortex yarn parameters on comfort properties of knitted fabrics.

Effect of structural parameters on tensile properties of alumina fabrics

Alumina fabrics is a high temperature resistant textile material, and its mechanical tensile were studied in this work. The effect of fabric weaves, yarn linear densities and weft counts on the tensile breaking strength of alumina fabrics was analyzed. The results show that the tensile strength of fabric increases in the order of plain, twill, rearranged twill and satin weave. The number of interweaving points of the warp and weft yarns are the main reason for this difference. In addition, with the weft count as the invariant, when the weft count is small, the fabric strength gradually increases as the linear density of the yarn increases from 440 to 660 tex and then to 880 tex, but the growth rate gradually decreases. When the weft count increases to 7 number/1 cm, the fabric strength first increases and then decreases as the yarn linear density increased from 440 to 660 tex and then to 880 tex. When the yarn linear density is invariant, the fabric strength gradually decreases as the weft count increases from 5 to 6 to 7 number/1 cm, and the decrease rate increases gradually with the increase of the yarn linear density. The above results expose the relation between strength efficiency of warp yarn and the mechanical properties of the fabric. This study provides a theoretical basis for the weaving process of alumina fabrics.

Acoustic Characteristics of Woven Jute Fabric

The noise optimization using suitable absorbing materials is imperative due to significant impact on living beings by influencing various physiological and psychological factors. The research investigating the acoustic characteristics of woven fabrics compared to nonwoven and other fabrics are very limited. This research investigates the acoustic characteristics of woven jute fabric in relation to fabric structural variables. The research is designed to fulfil the existing gap on acoustic characteristics of woven jute fabrics. The focus was on the effect of woven jute fabric structural parameters such as weft yarn linear density, weft density and number of weft float over warp on sound absorption coefficient and noise reduction coefficient. The sound absorption coefficient was measured using impedance tube method as per ASTM E1050 standard. Noise reduction coefficient was measured from the mean value of sound absorption coefficient observed at 250 Hz, 500 Hz, 1000 Hz and 2500 Hz. A Box–Behnken experimental design was adopted for research design and woven jute sample planning. The experimental work revealed that the plain woven jute samples prepared with 40 tex weft yarn consisting of 8 weft threads/cm showed higher mean values of sound absorption coefficient and noise reduction coefficient compared to twill and satin weave. The experimental results and statistical analysis showed that the effect of number of weft yarn float over warp and weft yarn linear density is significantly influencing sound absorption coefficient and noise reduction coefficient whereas the effect of weft density is found not significant.

Finite element analysis of biaxial tensile mechanical properties and burst properties of woven fabric for layflat hose

AbstractThis paper explores the effects of woven fabric structures on the biaxial tensile mechanical properties and burst properties of woven fabric for layflat hose. A repeat unit cell finite element modeling for woven fabrics for layfalt hose is adopted. To investigate the effects of fabric structure, two parameters are studied: warp yarn spacing and weft yarn linear density. The mechanical response outcomes such as stress distribution, intensity, breaking elongation, and burst properties such as burst pressure, burst direction, are defined and the effects of structure parameters studied on these outcomes are studied. The effects of the warp yarn spacing and the weft yarn linear density on the biaxial tensile mechanical properties and the burst properties of woven fabric for layflat hose are determined. Moreover, the results suggest finite element method exhibits high accuracy in predicting the burst pressure of layflat hose.

Material and Structural Functionalization of Knitted Fabrics for Sportswear.

Comfort is an important quality criterion, especially for sportswear. It influences well-being, performance and efficiency. The necessary dissipation of heat and air flow, at high metabolic rates, must be designed and planned in advance. The influence of structure, density, mass and thickness of fabric were considered as well as yarn material composition, yarn linear density, yarn evenness and yarn hairiness. The influence of the mentioned parameters on thermal properties and air permeability was calculated. From the correlation analysis, it can be concluded that yarn’s linear density, yarn short fibers hairiness, and mass per unit area of knitted fabric has the greatest impact on heat resistance. The yarn linear density, the yarn hairiness of the longer protruding fibers, and the thickness of the knitted fabric have the greatest impact on air permeability. A statistically significant model of multiple linear regression equations was offered to predict the thermal comfort of knitted fabric.

Fuzzy logic model expansion and optimization for predicting polyester cut-pile carpet thickness-loss

Thickness-loss is the most common problem in carpet after static and dynamic loading. Pile yarn properties as well as carpet structural parameters are mainly responsible for carpet thickness-loss. In the present research, an advanced version of recently developed fuzzy logic model is introduced. The model is able to predict thickness-loss of polyester carpets based on carpet pile density, pile height, and pile yarn count. Experimental work was performed to provide data for model knowledge base. Genetic algorithm was employed to optimize the fuzzy logic model parameters. Finally, lowest possible thickness-loss value together with corresponding values of carpet and pile yarn parameters bring this result was defined, using developed model. Modeling results showed that the model attained correlation coefficients as 0.9932, 0.9911, 0.9950, and 0.9957 between predicted and experimental values of carpet thickness-loss after low and high dynamic loading and static loading with short and long relaxation times, respectively. On the other hand, model predictions in four new unsighted conditions have brought correlation coefficients as 0.82, 0.89, 0.88, and 0.90 for low and high dynamic loading and static loading after short and long relaxation times, respectively. These results denote acceptable reliability of new developed model. Eventually, it is defined that levels of 850, 7.5, and 957.5 for carpet pile density, pile height, and pile yarn linear density, respectively, bring minimum carpet thickness-loss.

Effect of the Imperfection of Open-End Yarn (Thin, Thick, and Nep Place) on Air Permeability of Plain Woven Fabric

Wearing clothes is an intermediate channel by exchange of air released from human bodies and environments to bring breathing stability and to control body temperature. Air permeability is an expression describing the properties of a fabric that permit the passage of air through the fabric’s interstices. It has been found that there are many factors that can affect the air permeability of a fabric comfort. Several early studies of air permeability of different materials showed that different factors affect air permeability and breathability of fabrics, and some of them are imperfections of yarns (thick, thin, and nep place) which are introduced on the surface of the fabric that originated from the appearance of the yarn. In this experiment, the yarn and fabric samples are collected from five different spinning mills which have an identical warp yarn linear density of 20 Ne regardless of the weft linear density, and the fabric was constructed from those selected yarns by using the thread set of 28 ends per centimeter and 20 picks per centimeter. The experiment was conducted by measuring the imperfection of each code of yarn on USTER statistics and air permeability of the fabric with respect to the thin, thick, and nep place/km of the yarn and fabric cover. The impacts of each factor were analyzed, and the relationships of each parameter were stated on the graph. The results were discussed by using the design of the experiment by quadratic and linear models to the response of air permeability and fabric cover, respectively, and the results showed that there is a direct impact of thin, thick, and neps of the yarn on the ability of the fabric to permeate air.

Modeling for the Prediction and Evaluation of the Crimp Percentage of Plain Woven Fabric Based on Yarn Count and Thread Density

Nowadays, modeling is used for evaluating and controlling the weft crimp percentage before and after manufacturing plain woven fabrics. Also, modeling assists in estimating and evaluating crimp percentage without complex and time-consuming experimental procedures. The purpose of this study is to develop a linear regression model that can be employed for the prediction and evaluation of the weft crimp percentage of plain woven fabric. For this study, nine plain woven fabrics of 100% cotton were produced with three different wefts thread densities and weft yarn linear densities. From the findings, the effects of weft count and weft density on the weft crimp percentage of the fabrics were found to be statistically significant with a confidence interval of 95%. The weft crimp percentage showed a positive correlation with weft count and weft density. The weft count and weft density have multicollinearity in the model because the variance inflation factors (VIFs) values are greater than one, which are 1.70 & 1.20, respectively. The model was tested by correlating measured crimp percentage values obtained with a crimp tester instrument to the crimp percentage values calculated by a developed linear model equation. The result disclosed that the model was strongly correlated, with a confidence interval of 95% (R² of 0.9518). Furthermore, the significance value of the t-test is not significant for both the measured weft crimp percentage values and the calculated weft crimp percentage values, which means that they do not differ significantly. Crimp percentage is impacted by fiber, yarn, fabric structural parameters and machine setting parameters. This makes the crimp percentage difficult to control and study, but this developed model can be easily used by manufacturers or researchers for controlling and studying purposes. Thus, the model can be used to produce a fabric with a pre-controlled weft crimp percentage. It can also be used to evaluate and predict the weft crimp percentage before and after fabric production.

Effect of Stretching on Thermal Behaviour of Electro-Conductive Weft-Knitted Composite Fabrics.

This experiment presents a study carried out on the electric charge passing textiles for heat production in compression weft-knitted composite fabrics used for medical purposes. The aim was to flourish compression support of knitted structure with integrated highly sensitive metal (silver) coated polyamide multifilament yarns and to evaluate its heat origination attributes after stretching in different levels as well as changes of the temperature during the time. A flat double needle-bed knitting machine was utilized to fabricate the selected specimens together with elastomeric inlay-yarn incorporated into the structure for compression generation and silver coated polyamide yarn laid as ground yarn in a plated structure for heat generation. Six different variants depending on the metal coated yarn amount used and the fabric structure along with two types of the conductive yarn linear density were fabricated for this research work. Scanning electron microscope (SEM) images were preoccupied to show the morphology of conductive yarn and thermal pictures were captured to study the evenness of the heat over the surface of composite fabrics depending on conductive yarn distribution in the pattern repeat. The temperature profile of fabricated composite fabrics and comparison of the heat generation by specimens after stretching in different levels was studied

Optimization of electromagnetic shielding of three-dimensional orthogonal woven hybrid fabrics in ku band frequency region by response surface methodology

Electromagnetic shielding (EMS) has become the necessity of the present era due to enormous expansion in electronic devices accountable to emit electromagnetic radiation. The principal target of this paper is to originate three-dimensional (3D) orthogonal fabrics with conductive hybrid weft yarn and to determine their electromagnetic shielding. DREF-III core-spun yarn using copper filament in the core and polyphenylene sulfide (PPS) fiber on the sheath and fabric constructed of such yarn has a promising electromagnetic shielding characteristic. Box–Behnken experimental design has been employed to prepare various samples to investigate the electromagnetic shielding efficiency of 3D orthogonal woven structures. The orthogonal fabric samples were tested in an electromagnetic Ku frequency band using free space measurement system (FSMS) to estimate absorbance, reflectance, transmittance, and electromagnetic shielding. The increase in copper core filament diameter and hybrid yarn linear density enhances the EMS of orthogonal fabric. Statistical analysis has been done to bring out the effect and interaction of various yarn and fabric variables on EMS. Metal filament diameter, orientation, sheath fibers percentage, and fabric constructional parameters significantly affected electromagnetic shielding efficiency. The inferences of this study can be applied in other 3D structures like angle interlock, spacer fabrics for curtains, and coverings for civilians and military applications.

Crimp of yarn in the fabric and weaving machinery transportation

Crimp is one of the key parameters, which allows assessing, as a first approximation, the conditions of fabric production on a weaving machine. The raw materials consumption is determined based on crimp. Raw material type, yarn linear density, its interlacing, binding, warpwise and weft density, phase structure system, parameters of cloth threading and production on a loom, yarn physical-and-mechanical, and rheological properties influence crimp. Therefore, the crimp of yarn can be accepted as the criterion of assessment of the fabric structure. As the result of work, based on the mechanical model, the crimp of the yarn in fabric formulas, considering the time of load application to material and the time of relaxation of the fabric warp and weft yarn are determined. Comparative study of crimp of the yarn in fabric and machinery transportation, calculated based on the geometrical and mechanical model, are reported. The influence of yarn relaxation and fabric formation speed on the crimp of the warp and weft yarn in a fabric is determined. Relationships of warp and weft yarn crimp depending on relaxation time are defined.