Single Jersey Knit Research Articles

Life Cycle Assessment (LCA) of Single Jersey Knitted Fabrics Containing Recycled Cotton Fiber and Fabric Performance

This study investigates the life cycle assesment of single jersey knitted fabrics containing recycled cotton and their some performance properties. In the yarn production stage fibers obtained from waste through mechanical recycling (pre-consumer recycle) were used in blends at 10%, 15%, and 20% to produce knitted fabrics. Some performance properties such as fabric stiffness, air permeability, and dimensional change, which are important in the usage properties of jersey knitted fabrics, were compared. Within the scope of the study, the environmental impact of the use of recycled raw materials was evaluated with LCA. According to the Life Cycle Analysis (LCA) results, the use of recycled cotton with contributions ranging from 10% to 20% instead of 100% original cotton demonstrated significant improvements in resource depletion (fossil fuels), global warming, ozone layer depletion, toxic impact on human life, toxic impact on freshwater life, toxic impact on terrestrial life, and total water usage.

Fibre fragment pollution: source directed intervention through design

This study analyses the difference in fibre fragment pollution generated during the laundering of woven and knit fabrics for clothing and the influence of fabric parameters on the amount of pollution released. 100% polyester single jersey knit and 2/2 twill woven fabrics were created and washed according to AATCC TM212-2021. Results indicated more tightly woven structures released over three times less pollution than looser knit structures, releasing 6.41 mg of fibre fragments per kg of woven fabric (mean ± 1.50 SD, n = 8) compared to 21.21 mg of fibre fragments per kg of knit fabric (mean ± 1.80 SD, n = 8). The first wash for both knit and woven fabrics shed significantly more fibre fragments than subsequent washes. By the fifth wash both fabrics released under a tenth of the amount of pollution released in the first wash. To mitigate fibre fragment pollution that is released by fabrics designed for clothing this work recommends designing out pollution using more tightly constructed fabrics. Furthermore, the implementation of technology in fabric and garment manufacturing processes (e.g. fibre catching devices) should be utilised specifically during first washes allowing pollution to be filtered from the wastewater to stem the flow of contaminants into the environment.

Prediction of Thermal Conductivity of Elastic Single Jersey Knitted Fabric

ABSTRACT This work aims to derive a mathematical model that describes the thermal conductivity of the elastic single jersey knitted fabric (SJKF) based on the loop geometry and the yarn and fibers inclination on the direction of heat flow, and to assist the manufactures of elastic SJKF to predict the thermal conductivity from the fabric construction parameters. The main fabric construction parameters in this model are yarn count, loop length, and spandex weight percent. To validate the proposed model, elastic SJKF samples were produced at two different counts and five levels of loop length and spandex weight percent. The thermal conductivity of these samples was measured and compared to the predicted values from the new model rather than the previous three models (Maxwell – Eucken 2, Schuhmeister, Militky models). From the results, it could be concluded that the values of thermal conductivity from the model are very closed to the experimental values; therefore, the new model could be used to predict the thermal conductivity of elastic SJKF.

Designing out microplastic pollution released from textiles and apparel during laundering

Abstract The washing of synthetic materials has been named as the largest contributor of microplastic pollution to our oceans. With the consumption of petrochemical-based synthetic materials expected to grow, due to an increased demand, the release of microplastic fibres to our environments is expected to also accelerate. To combat microplastic fibre release, this study explores source-directed interventions within the design and manufacturing process of textiles to reduce the amount of pollution released from the surface and the edges of the fabric structure. Using standardised wash tests and polyester fabric swatches that were created in-house with systematic structural adjustments, single jersey knit fabrics were shown to release over three times more microplastic pollution than twill woven fabric. This illustrates that increasing the tightness of a fabric could be implemented within the design of fabrics for environmental benefits. Additionally, the laser cutting technique reduced microplastic fibres released by over a third compared to scissor cutting and overlock serging, showing that the edge of the fabric is a significant source of microplastic pollution released during laundering. This research highlights the adaptable and innovative eco-design approaches to clothing production which is necessary to help the sector reach international sustainability targets and regulations.

Statistical Study on the Effect of Yarn Fineness on Heat and Mass Transfer Properties of Single Jersey Knitted Fabrics

Abstract Heat and mass transfer properties of textile fabrics determine thermal comfort. This paper introduces a statistical study on the contribution of yarn fineness to the heat and mass transfer properties of single jersey cotton and polyester fabrics through relevant measurements. It is observed that yarn fineness affects those properties at different levels in differing fiber types.

Eco-friendly materials knitting by different yarn ply for high-performance garments

Purpose Synthetic materials have many drawbacks in high-performance garments because they absorb less moisture and cause allergies to sensitive individuals. Cotton materials cannot satisfy all the requirements and cannot provide the required high performance. This study aims to use eco-friendly materials with a common structure to analyse their suitability for high-performance garment application. Design/methodology/approach This study used two eco-friendly yarns (bamboo, modal and bamboo: modal 50:50) and yarns per needle (two- and four-ply yarns). with a single jersey knit construction and gauge of 7. The physical, mechanical, appearance, comfort, thermal and ultraviolet protection factor (UPF) protection characteristics were evaluated using 15 tests. Findings The produced knitted fabrics showed high performance for use as garments with physical, mechanical, appearance, comfort, thermal and UPF protection characteristics that were achieved, tested and analysed. The highest-achieved samples with a good UPF (<15) were made from bamboo material, which has other high-performance characteristics such as antibacterial characteristics, a soft surface, thermal insulation and others. Research limitations/implications The single jersey structure was used for producing fabrics as it is the common structure in the garment. Also, only gauge 7 was used for its economics and ease of production.

Theoretical Porosity of Elastic Single Jersey Knitted Fabric Based on 3D Geometrical Model of Stitch Overlapping

ABSTRACT To improve the dimensional stability of weft knitted fabrics, spandex yarns are incorporated with the base yarn by the plaiting technique. Adding spandex leads to stitch overlapping, increases the fabric thickness, and affects the pore’s size and distribution. This in turn affects the geometrical and physical properties of weft knitted fabrics such as air permeability. In this paper, the theoretical 3D modeling of stitch overlap, maximum set, and open structures is presented by using AutoCAD software. Fabric thickness was divided into several sections, and the theoretical porosity at each section was analyzed and calculated. Furthermore, single jersey knitted fabrics SJKF with and without spandex were produced to obtain overlapping (by using spandex weight percent, SWP 8%), and open structures. The calculated and theoretical overall porosity were calculated and compared. The study showed the influence of stitch overlapping on fabric porosity. Moreover, the results show that the proposed model captured to some extent the change in fabric porosity as its structure changes.

Factors Influencing Bursting Strength of Single Jersey Knitted Fabrics

The purpose of this article is to assist engineers in making quick decisions to improve the strength of single jersey knit fabric. This article focused on the different parameters of the single jersey knit fabrics (like stitch length, yarn count, GSM, tightness factor, and fabric thickness) are considered to know their influence on the bursting strength. Five hypotheses have been developed for plain, pique, and fleece knits. Analyses of Variance (ANOVA), correlation coefficient, and regression analysis are executed using the STATA 14.1 program to test the hypotheses at a 5% level of significance. Three of the five hypotheses are rejected. This study supports that the bursting strength of the fabric is dependent on the tightness factor, stitch length, and count of the single jersey knitted fabrics. Here, the stitch length, count, and tightness factor are inversely proportional to the bursting strength. The GSM and fabric thickness have less impact on the bursting strength.

Quality of Cotton and cotton/elastane Single Jersey Knitted Fabrics before and after Softening and in Situ Synthesis of Cu-based Nanoparticles

ABSTRACT The quality of cotton and cotton/elastane single jersey knitted fabrics before and after softening was evaluated through their mechanical properties, pilling, and volume electrical resistivity. Elastane-containing fabrics have higher bursting elongation and stiffness, lower bursting strength, the same or higher pilling grade, and 23–27% lower electrical resistivities compared to 100% cotton due to the increased compactness that enables better contact between the loops, and easier flow of charge through them. Softening does not affect or slightly improves the fabric pilling (up to 1000 cycles); it decreases fabrics’ stiffness and increases their bursting strength and electrical resistivities. The last one was significantly decreased after the in situ synthesis of Cu-based nanoparticles on fabrics’ surfaces. Namely, fabrics were first treated with sodium alginate whose carboxylate groups crosslinked Cu2+-ions (from CuSO4 solution) that were further reduced with ascorbic acid. In situ synthesis of Cu-based nanoparticles (detected by FESEM) improves the fabrics’ quality and enables obtaining multifunctional fabrics having 3.4–9.6 times lower resistivities, which are in line with the content of Cu after reduction (determined using ICP-OES), up to 2.5 times higher antioxidant activity and provided maximum microbial reduction for E. Coli, S. aureus, and C. albicans.

Study on Single Jersey Knitted Fabrics Made From Cotton/ Polyester Core Spun Yarns. Part II: Moisture Management Properties

This paper discusses the influence of core sheath ratio, twist and loop length on the moisture management properties of cotton/polyester core spun knitted fabrics. Box behnken, a three level- three variable factorial design was used to study the interactive effects of the dependent variables. Fifteen single jersey fabrics were knitted according to the statistical run and tested for physical and moisture management properties. Increase in polyester percent increases the moisture management properties which decreases the fabric weight and dries quickly. High twisted and tight structured fabrics hold moisture and spread more. The wetting time of all the knitted structures at the top and bottom surface were rated as fast (i.e. 3 to 5). Absorption rate of all the fabrics at the top and bottom surface were graded as medium range. Maximum wetted radius at the top and bottom surface were graded as very large (i.e. >22). Spreading speed of the top and bottom surface were rated as very fast (i.e. >4). 100% cotton knitted fabrics showed excellent (i.e. >400) accumulative one-way transport index and remaining samples were rated as very good (i.e. 200-400). The overall moisture management capacity of the 100% cotton knitted fabrics were rated as excellent compared to core spun knitted fabrics which were graded as very good.

Effect of Elastane Plating on Physical & Thermal Comfort Properties of Lyocell Single Jersey Knit Fabric with Different Loop Length

ABSTRACT Elastic weft knitted single jersey fabrics are produced by plating of elastane (elastomeric polyurethane) yarn with lyocell yarn in a circular knitting machine with positive feeder. This type of fabrics and their cloths have great response in the market as they have the tendency to re-gain their original size and shape due to physical extension by any part of human body. This research analyzed the effect of elastane plating on the physical and thermal comfort properties such as GSM, thickness, stitch density, air permeability, water vapor transmission rate, thermal conductivity and thermal resistivity of lyocell single jersey knitted fabrics by varying the loop length. The work revealed that the physical properties like stitch density, thickness and GSM increased with increase in elastane content and decrease in increasing of loop length. The air permeability, water vapor transmission rate and thermal resistivity of the fabrics decreased with increasing of elastane plating and increased with increasing of loop length. The thermal conductivity values of the fabrics are not much significant at 95% significance level.

DEVELOPMENT OF MULTIFUNCTIONAL YARN FROM THE FUNCTIONALIZATION OF ORGANIC RAW COTTON FIBERS WITH ZINC NANOPARTICLES

The emergence of increasingly contagious diseases in these days, such as COVID-19, increased the need to develop more effective personal protection equipment’s (PPEs). Therefore, the goal is to create textile materials capable to act against bacteria, virus or fungi, with a long-lasting performance but, at the same time, that could be comfortable and safe for their users. In this sense, based on the advantages of nanotechnology, the aim of this work was to functionalize organic raw cotton fibers with zinc nanoparticles (NPs) and previously tretated with NaOH, for the further production of multifunctional yarns with antimicrobial activity. Thereby, the fibers functionalization was tested using 1% w/w and 2% w/w of zinc NPs aqueous dispersion, being subsequently evaluated their distribution, chemical nature and zinc concentration by SEM/EDS and Atomic Absorption Spectroscopy, respectively. Subsequently, using the functionalized fibers, a yarn was spinned and their structural, mechanical and moisture management properties determined. Also, to assess the influence of the produced yarn on the properties of a fibrous structure, a single jersey knit sample was further produced and evaluated regarding their mechanical, moisture management and antibacterial properties. Based on the methodology used it was possible to develop a yarn with a tenacity 24% higher and a knit sample 28% more breathable and with a water evaporating ratio 37% higher than the one without any treatment or functionalization, but mainly with a strong antibacterial activity against both gram-negative (Klebsiella Pneumoniae) and gram-positive (Staphylococcus Aureus) bacteria, presenting therefore potential to be used in the production of effective PPEs.

Effect of Lycra Weight Percent and Loop Length on Thermo-physiological Properties of Elastic Single Jersey Knitted Fabric

Abstract The aim of this work is to estimate the effect of loop length and Lycra weight percent (Lwp) on the geometrical and thermo-physiological comfort of elastic plain knitted fabric. Fifty single jersey knitted fabric samples were produced at five levels of Lycra weight percent (Lwp) (4%, 5%, 6%, 7%, and 8%) and loop length (2.7 mm, 2.9 mm, 3.1 mm, 3.3 mm, and 3.4 mm) with full plaited (fp) and half plaited (hp) of bare Lycra. The thermo-physiological comfort properties (thermal conductivity, absorptivity, and water vapor permeability), air permeability, and geometrical properties were measured at standard of each one. The results showed that the elastic single jersey knitted fabric thickness ranged between 3.12 times and 4.2 times of the yarn diameter (d). The fabric thickness increased when loop length is increased and decreased when Lwp is increased. The thermal conductivity, absorptivity, and water vapor resistance (WVR) decreased with Lwp increasing.

Modelling the Effect of Resin-Finishing Process Variables on the Dimensional Stability and Bursting Strength of Viscose Plain Knitted Fabric Using a Fuzzy Expert System

The application of cross-linking resin is an effective method for improving and controlling dimensional stability, such as the shrinkage of viscose single jersey knits. However, such treatment often leads to a significant deterioration in the bursting strength of treated fabrics. In this regard, resin treatment using a softening agent can be an additional potential solution for retaining the bursting strength of treated fabrics. Resin treatment is one kind of chemical finishing process that inhibits cellulosic textile fibre swelling during wetting, provides fibre resistance to deformation and prevents shrinkage. The key objective of this study was to model the effect of resin-finishing process variables for predicting the shrinkage control and bursting strength of viscose single jersey knitted fabrics. The MATLAB (Version 8.2.0.701) fuzzy expert system was used to model the optimum resin and softener concentrations, as well as the best curing time for the prediction of maximum shrinkage control with a minimum loss in fabric bursting strength. The optimal process variables were found to be a resin concentration of 75 g/l, a softener concentration of 45 g/l and a curing time of 225 seconds. The fuzzy expert model developed in this study was validated using experimental data. It was found that the model has the ability and accuracy to predict fabric shrinkage and bursting strength effectively in the non-linear field.

Effects of yarn size and blood drop size on wicking and bloodstains in textiles.

Bloodstain pattern analysis (BPA) for stains found on non-porous surfaces has matured into a powerful forensic science tool based on fluid mechanics principles. The same cannot be said when bloodstains are found on porous substrates, such as textiles. This is partially due to the complex nature of textiles with tens of thousands of different materials in addition to unknown wear characteristics. In this study, three single jersey knit fabrics were manufactured from 100% cotton ring-spun yarns of linear densities of 12, 20, and 30 Ne (492, 295, and 197 dtex, respectively) and nearly identical twist multipliers. Single drops of porcine blood of 2, 10, 30, and 60µL were allowed to fall 1cm (to eliminate the impact of blood velocity) onto each fabric to understand the effects of yarn size on wicking and bloodstains. The size of the stain was then measured and compared for different fabrics and blood drop sizes. Wicking of blood into the fabric was fastest for the largest yarn fabrics, but more extensive wicking occurred on finer yarn fabrics resulting in much larger stains. All stains were highly altered due to wicking of blood. The findings from this paper might help the forensic scientists in understanding wicking in textiles and comparing stains on different textiles to gain a better understanding of bloodstains on textiles.

Air Permeability and Water Vapor Resistance of Differently Finished Cotton and Cotton/Elastane Single Jersey Knitted Fabrics

ABSTRACT This study investigates the knitted fabrics’ air permeability and water vapor resistance as complex phenomena of the interaction between the fiber nature, fabric structural characteristics and, different wet processes. Bleaching and dyeing together with the content of elastane are the main factors determining fabric structural characteristics. 100% cotton fabrics have a higher intensity of warm/cool feeling since they have higher air permeability than elastane containing fabrics. The air permeability and water vapor resistance of elastane containing fabrics decreased after the wet processes, whereby the bleached knitted fabrics showed higher air permeability and lower water vapor resistance than dyed. Decreased air permeability and increased water vapor resistance of softened elastane containing fabrics are governed by the cationic softener pick-up mechanism. Namely, the cationic softener is deposited on the yarns’ surfaces; its hydrophobic carbon ends repel from each other. This acts as a barrier for air which contributes to an increase in the fabric water vapor resistance. The softened dyed knitted fabrics have lower air permeability and slightly higher water vapor resistance than softened bleached fabrics which may be attributed to the interaction between reactive dyestuff and cationic softener. The comfort properties quality of finished knitted fabrics decreased with elastane incorporation and with softening.

Mathematical Modeling to Predict the Geometrical Properties of Float Stitches in Single Jersey Knitted Fabrics

This paper presents a novel mathematical model of float stitches in single Jersey knitted fabrics. The mathematical model has been used to deduce the fabric geometrical relationships that can be useful for predicting the properties of the fabric. Using AutoLISP and AutoCAD software, a program has been designed to simulate the surface appearance of knitted fabrics. The program inputs and outputs are also displayed with each type of float stitches. The proposed program and mathematical model demonstrated their effectiveness in using a wide range of yarn count, number of wales and courses, and predicting the different geometrical properties.

Comprehensive Assessment of the Properties of Cotton Single Jersey Knitted Fabrics Produced From Different Lycra States

Abstract This research aims to evaluate the properties of cotton single jersey knitted fabrics (SJKF) produced from cotton/spandex yarns at different Lycra states. So, four different SJKF were produced, namely 100% cotton, cotton with additional Lycra (full-platted), core, and dual-core-spun (DCS) yarns with the same loop length. The thermal comfort properties, fabric recovery, total hand value (THV), moisture management parameters, and air permeability were measured. The experimental results showed that the use of DCS yarns in the SJKF improves the fabric elastic recovery by 100%. The obtained values of air permeability, THV, and overall moisture management capacity of stretched SJKF are lower than 100% cotton fabric sample. Thermal absorptivity of core and dual-core samples increased by 27% and the water vapor permeability decreased by 18% compared to 100% cotton fabric sample.

Temperature Regulation in Colored Infrared-Transparent Polyethylene Textiles

Summary Effectively regulating heat flow between the human body and its environment not only increases thermal comfort but also presents a novel and potentially cost-effective approach to reducing building energy consumption. Infrared property-engineered textiles have been shown to passively regulate radiative heat dissipation for effective cooling and warming of the human body. However, a lack of dyes that can tune the textile color without compromising the infrared properties remains a major impediment to textile commercialization. Here, we report a new strategy utilizing inorganic nanoparticles as a coloring component for scalable brightly colored, infrared-transparent textiles. The as-fabricated composite textiles not only show a high infrared transparency of ∼80% and a passive cooling effect of ∼1.6°C–1.8°C but also exhibit intense visible colors with good stability against washing. This facile coloration approach will promote the commercialization of radiative cooling textiles in temperature-regulating wearable applications for effective energy savings.

Assessment of Knitted Fabric Smoothness and Softness Based on Paired Comparison

The purpose of this study is to conduct an in-depth analysis of customer preferences for single jersey knit fabrics regarding the attributes of smoothness and softness, in order to build up a holistic picture of purchase preferences. A paired comparison test was conducted for the subjective human assessment of single jersey knitted fabrics which were designed to differ in a single factor only. A sample of 140 evaluators were recruited and assigned into seven demographic groups according to age, gender and education level, with 20 evaluators in each group. It was shown that fabrics produced of viscose and polyester or with addition of elastane yarn are perceived smoother than 100 % cotton fabrics without elastane. Regarding the gender groups, the discrepancy is seen between the results obtained for smoothness and softness, especially within the male evaluators. Also, it was shown that evaluators with completed secondary education do not make higher differences in the perception of attributes, both smoothness and softness.