Denim Fabric Research Articles

Comparison of temporal cavity indicators when firing “FORT 12R” and “AE 790G1” into a non-biological body simulator

Gunshot injuries are extremely dangerous due to the extremely unpredictable compliance of ammunition after contact with the body. One of the key elements that takes place in this case is the formation due to high kinetic energy of a temporary cavity, which, despite its existence for a fraction of a second, causes severe damage to the tissues of the human body. The study of this phenomenon is one of the central elements of ballistics and requires an experiment on optically transparent media. The purpose of the study is to compare the parameters of the temporal cavity when fired from the “FORT 12R” and “AE 790G1” pistols into a non-biological simulator of the human body. To achieve the goal, 120 gelatin blocks were produced according to the generally accepted method, which were to be shot at close range, 25 and 50 cm. The blocks were left bare before shooting, or covered with cotton fabric, denim fabric or leatherette. After firing, transverse sections of the blocks were made in order to further measure the parameters of the temporary cavity formed as a result of the firing, according to generally accepted methods. The results of the analysis of the received data regarding the indicators characterizing the dimensions of the temporary cavity at different depths of the wound channel revealed a number of significant differences (p<0.05-0.01) between the studied pistols (in almost all cases, “AE 790G1” had larger values), groups of blocks covered with different types of fabrics, bare blocks (in almost all cases, the clothing had protective properties and reduced the size of the temporary cavity) and allowed to establish that during shots from the “FORT 12R” there was a sharp increase in the size of the temporary cavity with its sharp decrease at the end of the wound channel, while with shots from the “AE 790G1” the temporary cavity gradually increases, reaching a maximum at half the depth and then just as gradually decreases. Thus, when comparing the “FORT 12R” and “AE 790G1” pistols, differences in the features of the formation of the temporary cavity were revealed, which in turn is of interest not only for forensics, ballistics and forensic medicine, but also for clinical medicine.

Effect of Different Weft Yarns, Twill Direction, and Washing Methods on Objective Hand Values of Denim Fabrics

ABSTRACT Denim fabrics are products that provide durability and ease of use, and are used by young people or people of all ages who prefer comfortable wear in daily life. In this study, the objective hand values of denim fabrics with three weft yarn types (100% cotton elastane, 85% cotton 15% Modal elastane, and 85% cotton 15% Tencel elastane), two twill directions (3/1 Z and S), and four washing processes (bleach, enzyme, rinse, and stone) were investigated. For this purpose, the compressibility, overall flexural rigidity, drape, surface roughness, and shear rigidity values of industrial washed denim fabrics were measured. It was found that there was no statistically significant effect of weft yarn type on objective hand values, and washing differences were statistically significant on the objective hand values of the denim fabrics. The results showed that enzyme-washed fabrics show better hand and lower hardness properties; stone-washed fabrics have a higher fluffy feel, bleach-washed fabrics have worse hand, and rinse-washed fabrics have stiffer and rougher surfaces. It was also observed that the twill direction affects only the shear rigidity values of the denim fabrics.

Investigation of the effect of preparation processes on CO2 laser-faded denim fabric quality

Purpose In the denim industry, enzyme washing and its combination with stone washing are generally used to get the desired worn-out look. However, these conventional methods include high water, energy and time consumption. Nowadays, laser fading, which is a computer-controlled, dry, ecological finishing method, is preferred in the denim fading process. The purpose of this study is to observe the effects of chemical pretreatment applications on laser-faded denim fabric in terms of color and mechanical properties. To eliminate the enzyme washing process in denim fading and to minimize the disadvantages of laser fading, such as decreased mechanical properties and increased fabric yellowness, various chemical pretreatment applications were applied to the denim fabric before laser fading, followed by simple rinsing instead of enzyme washing. Design/methodology/approach Two different indigo-dyed, organic cotton denim fabrics with different unit weights were exposed to pretreatment processes and then laser treatment, followed by simple rinsing. Polysilicic acid, boric acid, borax and bicarbonate were used for pretreatment processes, and laser treatment was carried out under optimized laser parameters (40 dpi resolution and 300 µs pixel time). Tensile strength was tested, and color values (CIE L*, a*, b*, ΔE*, C* and h), color yield (K/S), yellowness and whiteness indexes were measured to identify the color differences. Findings Before laser fading, 30 g/L and 40 g/L polysilicic acid pretreatments for sulfur-indigo-dyed fabric and a mixture of 10 g/L boric acid and 10 g/L borax pretreatments for the fabric only indigo-dyed were recommended for the laser fading with sufficient mechanical properties and good color values. Originality/value With the chemical pretreatments defined in this study, it was possible to reduce yellowness and maintain the mechanical properties after laser fading, thus minimizing the disadvantages of laser treatment and also eliminating enzyme washing.

Citric-acid anchored silver nano-finishing of commercially dyed denim fabric for potential non toxic antibacterial surgical gowns

Purpose Present study aimed to nanosilver-treat some commercially dyed denim fabric using an eco-friendly cross-linker of citric acid for possible application in the fabrication of sustainable antibacterial and nontoxic surgical gowns. Design/methodology/approach The conventional untreated surgical gowns are prone to bacterial attack making them unprotective and infection carriers. Thereby, nanosilver finishing of the surgical-grade dyed denim fabric was achieved via citrate cross-linking under the pad-dry-cure method. The hence treated denim fabrics were characterized for surface chemical, crystalline, textile, color and antibacterial attributes using both conventional and advanced analytical approaches. Findings The results expressed that the prepared denim specimens contained surface roughness at the nanoscale besides some alterations in their textile and color parameters. Both textile and comfort properties of the finished fabric remained in the acceptable range with effective antibacterial activity. Practical implications The silver nano-finished dyed denim expressed broad-spectrum antibacterial activity and qualified as a potential substrate in the fabrication of surgical gowns. Such sustainable application of nanosilver finishing could be perused for industrial implications. Originality/value This study presents citric acid as a crosslinking agent to impregnate the commercially dyed denim fabric for potential application in the fabrication of surgical gowns. The application of nanosilver on prior citrated dyed-grown fabrics could be a novel approach. This study used approximately all the reagents and auxiliaries as bio-based to ensure the nontoxicity and sustainability of the resultant fabric.

In situ synthesis and deposition of AgNPs on the alkali-pretreated cotton/flax blended denim fabric for antibacterial efficacy

In situ synthesis and deposition of AgNPs on the alkali-pretreated cotton/flax blended denim fabric for antibacterial efficacy

Effect of Different Crushed Stone on Denim & Knit Fabric to Ensure Sustainability

A type of construction aggregate known as crushed stone or angular rock is typically created by mining a suitable rock deposit and then using crushers to reduce the removed rock to the required size. To comply with future sustainability, this study aims to reuse crushed stone in a factory that washes clothing. The research team therefore used crushed stone from Bangladesh (gathered from a washing factory). Crushed stone is recognized globally in 13 (Thirteen) grades. The research team chose purposes 2, 3, and 5 for the final test due to the availability and capacity limitations of washing machine facilities in factories. The variation between the fabric compositions after and before washing was addressed in this study using 06 (six) different types of denim fabric. The results of a test for color fastness to washing, rubbing, perspiration, and a shade variation were conducted after the sample denim fabrics had been cleaned. An ISO standard is followed for every washing machine test. For industrial use, the results were adequate. The research team has, at the end, provided buyers, factory owners, and future crushed stone businessmen with some recommendations that will guarantee sustainability in factories.

Citric acid-crosslinked nanosilver finishing of indigo-dyed denim for potential surgical gowns

Purpose This paper aims to develop an indigo-dyed denim fabric treated with a nanosilver colloid in the presence of a natural crosslinker of citric acid for possible surgical gown fabrication applications. Design/methodology/approach A bleached denim fabric was dyed with the sustainable indigo dye followed by silver nanofinishing through citric acid crosslinking under the pad-dry-cure method. The prepared denim samples were analyzed for chemo-physical, textile, dyeing, antibacterial and finish release properties. Findings The results demonstrated that the comfort and textile characteristics of nanosilver-treated/indigo-dyed cellulosic fabric were affected due to the crosslinking, surface amphiphilicity and air permeability. These properties were, still, in the acceptable range for the fabrication of naturally dyed and antibacterial nanofinished denim gowns. Practical implications The dyeing of denim with synthetic dyes may cause harmful effects on the skin and health of the wearer, and the authors present an eco-friendly sustainable approach. Originality/value The authors used the fabric substrate, natural indigo dye and reducing/crosslinker agent of citric acid, all being bio-based, in the fabrication of antibacterial dyed fabric for health care garments.

Kavitasyon İşleminin Denim Kumaşların Termal Konfor Özelliklerine Etkisi

The process, which is defined as ultrasonic treatment or cavitation, ensures that the dirt is removed from the surfaces without damaging the fabric surface. There are studies on the ultrasonic washing processes of denim fabrics in the literature, but there is no study on the effect of the cavitation process on the thermal comfort of denim fabrics. For this purpose, denim fabrics were treated at three different times, 15, 30, and 45 minutes, and at two different frequencies 8khz and 16khz in the ultrasonic homogenizer test device. It was observed that the applied cavitation process reduces the air permeability, thermal conductivity, and thermal absorptivity values. On the other hand, the cavitation process increased the water vapour permeability value by cleaning the materials such as dirt and oil on the surface. It can be concluded that the applied cavitation process provides comfort by enabling quick throwing of the sweat to the outer surface, provides less heat conduction from the fabric, and the denim fabric felt warmer after the cavitation process.

Appraisal of hand value of denim fabrics

Purpose Denim fabric has become a wardrobe staple due to its versatility to be worn in a variety of fashions. This paper aims to study denim fabrics to understand their unique hand by developing a hand evaluation system using computational method. Also, the effect of various washes was studied on the hand and surface morphology of denim fabrics. Design/methodology/approach Five different denim samples were manufactured with various washing treatments. The Kawabata Evaluation System was used to measure the low stress mechanical properties. Computation method was used to develop hand equations using multiple regression technique in the MS Excel software. The correlation coefficient analysis was done to determine the authenticity of the developed equations. Five primary hand attributes such as softness, smoothness, fullness, flexibility and stretchability were shortlisted by a panel of judges that influence the fabric handle. Findings The correlation coefficient between subjective and computational total hand values with thermal properties and without thermal properties was 0.88 and 0.85, respectively. The enzymatic wash fabric has the highest total hand value followed by the acid, bleach and stone-washed fabrics. Originality/value Although the hand evaluation system is available for conventional textiles like suiting and shirting fabrics, the method to predict fabric hand of non-conventional textiles such as denim fabrics remains an unexplored topic. The stresses acting on denim fabrics are completely different. Therefore, to the best of the author’s knowledge, a novel attempt has been made in this research work to develop a computational model to predict the total hand value of denim fabrics.

Predicting quality parameters of denim fabrics using developed ANN based Artificial Bee Colony algorithm

Denim is a special fabric preferred by all segments of society. Many production factors affect the properties, performance levels and quality of denim products. In today’s textile manufacturing management, quality parameter prediction is very important. In the context of this work, a new prediction model has been introduced for calculating denim fabric quality parameters. The meta-heuristic combination of Artificial Neural Network (ANN) and Artificial Bee Colony (ABC) algorithm is the proposed in this study. The proposed hybrid model was evaluated using data on production parameters acquired from a significant Turkish manufacturer of denim fabric. The denim fabric quality parameters results obtained from the ANN and the proposed ANN based ABC (ABC-ANN) algorithms were compared with the results of all models on test data. The performances of the measured quality values were evaluated and compared in terms of Mean Absolute Percentage Error (MAPE), Root Mean Squared Error (RMSE), and Receiver Operating Characteristic (ROC) curve analysis. According to the comparison results, the proposed ANN-based ABC algorithm is superior in predicting the mechanical properties of denim fabric from the production parameters.

Prediction of parameters in the laser fading process of denim using convolutional neural networks

Laser technology has been widely used in ecological fading of denim. However, the setting of parameters in the laser fading process mainly depends on the subjective experience of workers. After many attempts, an approximate effect can hardly be obtained. There are various defects in this way such as low fading efficiency, poor fading effect and high production cost, etc. This study proposed a novel method for predicting the parameters of the denim laser fading process using convolutional neural network technology. It starts from data collection, and uses laser technology to select different combinations of laser parameters to conduct laser fading experiments on 100% cotton indigo denim fabrics, and obtains denim image datasets of different laser fading effects. The prediction model of parameters in the laser fading process of denim was established by learning from the dataset with the convolutional neural network. The model could intelligently generate the approximation parameter group according to the fading image and performed well on the validation dataset with finite prediction error. Based on the obtained parameters, it could be effectively used and dramatically reduced the manpower and material resources in setting up a denim laser fading process.

Chitosan Films Prepared with Low Nanometal Content for Developing Protective Denim Fabrics

At this study; Chitosan was obtained from crayfish and identified by X-ray diffraction (XRD), molecular weight and elemental analyses. Later, it was coated on fabrics alone and in combination with nano-metal.The protective properties of the coated fabrics was investigated by UV protection and antibacterial analyses. Crayfish chitosan had low crystallinity (72%), low molecular weight (Mw) (11.2 kDa) and low degree of deacetylation (DD) (16%). When used together, nano-TiO2 reduced the UVprotection of the crayfish chitosan in both dyed and undyed denim fabrics.Chitosan+Nano-Ag coated fabric had the highest antibacterial activity (Antibacterial activity value (A): 4.27) against Staphylococcus aureus while chitosan+Nano-TiO2 coated fabric did not show any antibacterial efficiency (A: 1.89). Afterwashed, the chitosan coated and the chitosan+Nano-Ag coated fabrics retained their antibacterial efficiency.

Production of Cellulase from the Municipal Waste Residue by a Novel Cellulolytic Fungi

Cellulases catalyze the hydrolysis of 1,4-β-D-glycosidic linkages in cellulose and play a significant role in nature by recycling polysaccharide debris. This enzyme has enormous potential in industries such as textile wet processing, bio-stoning of denim fabric, biopolishing of textile fibres, softening of garments and removal of excess dye from the fabrics. Therefore, the research focused on obtaining new cellulose-producing microorganisms with higher specific activities and greater efficiency. By identifying a good strain, improving the production medium and using an alternative carbon source such as waste residue, this study aimed to lower the manufacturing cost of cellulase. This study was designed to assess the cellulase production by fungi isolated from water, soil, straw, dung, leaf and goat manure. In the present research, cellulase-producing fungal isolates obtained from waste samples were identified by morphological and microscopic features. On Congo red test, the largest zone of hydrolysis was found as 1.2 cm. From the morphological and microscopic test, the fungal strain was expected as Aspergillus sp. The assay of the enzyme cellulase was performed by measuring the release amount of reducing sugar. Optimization of process parameters was carried out for the isolate to maximize enzyme yield. On optimization, isolated fungal species showed maximum enzyme activity at a temperature of 30 °C and pH 6. Under optimized conditions of temperature and pH, agitation at 200 rpm with a 1 L/m air flow rate showed better cellulase activity. Cellulase production from Aspergillus sp. can be an advantage as the enzyme production rate is normally higher as compared to other fungi.

Unsupervised defect segmentation on denim fabric via local patch prediction and residual fusion

Deep learning-based defect inspection has gained popularity in recent years. The dataset requirements for the supervised learning-based method are currently high, but the types of defects are numerous and difficult to gather. This work proposes a local image reconstruction-based unsupervised fabric defect segmentation method to address this problem. Cyclic structures make up the normal portion of the fabric image, whereas the defects are anomalous and minor in comparison. As a result, the defect will be recreated as a normal texture utilizing the information from its surrounding areas, and the defect information will be preserved in the residual image. By masking the same area with various shapes, different reconstruction outcomes and residual images can be achieved. The signal of the defect will be amplified and the noise will be decreased due to the random distribution when the generated residual pictures are fused, which can effectively identify the defect from the noise and lower the false detection rate. On the denim fabric dataset, the proposed unsupervised method can achieve high precision fabric defect segmentation, with the defect detection rate and detection precision reaching at least 85% and 89%, respectively, with high efficiency (approximately 60 m/min inspection speed), outperforming other fabric defect segmentation methods.

PECULIARITIES OF ADDITIONAL SHOT FACTORS DEPOSITION WHEN FIRING FROM «FORT 9R» AND «FORT 17R» PISTOLS

Additional factors of the shot are one of the key pieces of physical evidence that are investigated in the case of a gunshot injury in order to establish the distance and identify the weapon of the shot, as evidenced by the results of numerous scientific works. However, publications related to the study of non-lethal firearms are isolated cases and incomplete both in the world and in the domestic scientific literature.
 The purpose of the work is to investigate the deposition of additional factors of the shot on different cover materials and bare blocks, which are imitating the tissues of the human body at different shot distances, using «Fort 9R» and «Fort 17R» pistols.
 Material and methods. In order to achieve the goal, 120 gelatin blocks covered with different fabrics or left without a coating were fired. The shooting was carried out using «Fort 9R» and «Fort 17R» pistols. The fired blocks were examined for the presence of soot using a descriptive method and microscopic examination, and subsequently using a chromatographic-mass spectrometric method of examination and infrared microscopy on a combined IR-Fourier spectrometer in order to detect diphenylamine and centralite.
 Results. When shooting from «Fort 9R» and «Fort 17R», the deposition of soot was observed at a distance of a shot at close range and 25 cm on all studied blocks, and also when shooting from «Fort 17R» on blocks covered with cotton fabric and in bare blocks, soot was detected microscopically on shot distance 50 cm; diphenylamine and centralite was observed when firing from «Fort 9R» in bare blocks (close and 25 cm) and blocks covered with leatherette (25 cm), while when firing from «Fort 17R» it was detected only at a shot distance of 25 cm on blocks covered with denim fabric.
 Conclusions. The presence of clothing and the peculiarities of the material of its manufacture fundamentally change the macro, microscopic and laboratory picture of the deposition of additional factors of the shot at different distances, using the «Fort 9R» and «Fort 17R» pistols, with the exception of the soot deposition when firing from the «Fort 9R» pistol.

PECULIARITIES OF SOOT DEPOSITION, TEARING OF CLOTHING AND HUMAN BODY SIMULATOR DURING SHOOTINGS FROM «FORT 12R» AND «AE 790G1» PISTOLS

The study of macroscopic features of the clothing damage or the damage to the human body, the presence of additional factors of a shot on it – is one of the basic methods of analysis used in medical forensics. The appearance of new types of firearms requires the appropriate conduct of experimental research in order to update the theoretical database of experts.
 The purpose of the work to investigate the features of soot deposition, tearing of clothing and a human body simulator when using «FORT 12R» and «AE 790G1» pistols.
 Material and methods. For the study, 120 gelatin blocks were used, which later remained bare or were covered with one of the fabrics: cotton, denim or leatherette. After that, shots were fired from close range, 25 and 50 cm using «FORT 12R» and «AE 790G1» pistols, with subsequent analysis of macroscopic soot deposition around the entrance firing hole and the number of ruptures in clothing or a human body simulator, if the shot was fired at a bare block.
 Results. When analyzing soot deposition, it was reliably established (p<0.0070) or a tendency (p=0.0763, only for leatherette) towards its macroscopic detection when shots were fired at close range in all studied groups of bare blocks and blocks covered with clothing when shots were fired from a distance of 25 cm and the absence of the soot when fired from a distance of 50 cm when fired from both pistols. When comparing the data on the number of ruptures between the «Fort 12R» and «AE 790G1» pistols, reliably (p<0.01-0.05) higher values were found when firing with the «AE 790G1» from a close distance into blocks covered with cotton and denim fabric, when shot from 25 cm into the blocks covered with cotton fabric and a slight tendency (p=0.095) to higher values when shot with the «AE 790G1» from a close distance into the blocks covered with leatherette.
 Conclusions. When using the «FORT 12R» and «AE 790G1» pistols, practically no differences in soot deposition was found, however, when analyzing the number of ruptures in clothing and the human body simulator, higher values were found when using the «AE 790G1» pistol.

Low-bagging (growth) stretch denim yarn production by spinning optimization of cotton-wrapped dual-core elastane and T400 multifilament

Cotton-wrapped elastane core yarns have been widely used in producing stretch denim fabrics due to their comfortable stretching and recovery, but they suffer from undesirable fabric growth under prolonged or repeated stress. To reduce that problem, an additional semi-elastic multifilament has been incorporated with the elastane core, called dual-core yarn. Herein, it was intended to produce well-engineered dual-core yarns possessing high elasticity with low bagging. Twenty types of cotton-wrapped elastane/T400 multifilament dual-core yarns with different combinations of elastane and T400 tension draft were produced on industrial scale in a spinning mill. Structural parameters, tensile properties and elastic recovery behavior under cyclic loading of the yarns were thoroughly studied. For an optimum combination of elastane/T400 draft, the dual-core yarn attained excellent tenacity and elongation with significantly low evenness, imperfections and hairiness values. More importantly, the results of the cyclic loading study explicitly revealed a remarkable reduction in plastic deformation and stress decay indicating low growth and high resilience of yarn after deformation. The dual-core yarn containing high strength, high elongation and low growth obtained here can have durable stretch jeans with high body movement comfort and long-lasting shape retention.

Nanocellulose reinforced lightweight composites produced from cotton waste via integrated nanofibrillation and compounding

Cotton is a natural fiber containing more than 95% of cellulose. With worldwide cotton consumption continuously increasing, the amount of cotton waste generated is enormous. Most of the cotton waste ends up in landfill or incinerators, resulting in a huge waste of this excellent natural resource. In this project, cotton waste was recycled to produce polypropylene nanocomposites. Instead of using the traditional two-step nanofiber extraction and compounding technique, an integrated process was adopted to combine nanofibrillation and compounding into one step. Results showed that cotton fibers with a slight prefibrillation and hydrophobic surface modification were successfully fibrillated into tens to hundreds of nanometers in width during compounding. The nanofibers reinforced polypropylene composites exhibited significantly enhanced tensile and flexural strength and moduli. For instance, when 30% fibers from bleached white and indigo-dyed denim fabrics were introduced, the tensile moduli of the resultant composites reached 4.57 and 4.59 GPa, respectively, compared to 1.60 GPa, the modulus of neat PP. Meanwhile, denim fabrics had a remarkable reinforcing effect on the composites’ impact strength attributing to the hydrophobic indigo dyes that improved the interfacial bonding between cotton fibers and the matrix. The highest impact strength of denim reinforced composites was 4.96 kJ/m2 with 20% fiber loading; while the impact strength of neat polypropylene was 2.46 kJ/m2. The low water uptake of the composites further indicated the excellent adhesion at the filler/matrix interface. In general, a very promising processing technique to recycle cotton waste for high-value products was demonstrated.

Design of Hybrid Yarn with the Combination of Fiber and Filaments and Its Effect on the Denim Fabric Performance

Abstract Consumer choice and behavior are changing and focusing on comfortable clothing along with fitting. Elastic yarn or fabric is necessary to achieve this comfortableness. By making elastic yarn and using elastic material in fabric production, elastic cloths are produced with proper stretchability and recovery. For that, core-spun yarn was used, but due to a lack of recovery performance, dual core-spun yarn has been developed. Different elastane ratios, linear density, and filaments were used in the dual core-spun yarn according to achieve desired stretchability. In this study, denim fabric performances were evaluated by designing different composite/hybrid dual core-spun yarn with a combination of cotton fiber and filaments. Different elastane linear densities with different filaments, PET/PTT, PTT, and PET, were used, and it was found that using finer elastane in dual core-spun yarn, strength, and unevenness are increased, and elongation decreased. Using PET/PTT filament increases hairiness, and using PTT filament increases elongation. For fabrics, coarser elastane in the dual core-spun yarns has higher stiffness, elasticity, and shrinkage. Fabric with PTT showed higher weight change and stiffness, whereas PET filament-based fabric samples have good strength and low stiffness. In addition, a multiple regression analysis was carried out for yarn and fabric properties, and mathematical models were developed.

Strength and Elasticity Properties of Denim Fabrics Produced from Core Spun Yarns

In parallel to the development of new fiber and yarn technologies, different fibers and yarns have been used in denim fabric production and breaking the market dominance of 100% cotton yarn in the denim market. In recent years, the use of elastane fibers for denim fabric production has rapidly increased thanks to their movement comfort. This study examines the strength and elasticity properties of denim fabrics containing core yarns. For this purpose, different weft yarns were used in the production of denim fabrics. While 100% cotton ring yarn was used as warp for all fabrics, cotton ring, cotton OE-rotor, cotton / PBT-elastane dual-core, cotton / elastane core and cotton-PET / elastane core yarns were used as weft. Within the scope of the study, tensile strength, tearing strength and bursting strength tests were carried out on denim fabrics. In addition, denim fabrics contain core spun yarns were tested for elasticity in the weft direction, which is the direction of core yarns used. When the results were examined, it was seen that tensile strength and breaking elongation are higher for the fabrics containing core yarn in general. Fabrics produced with dual-core yarns have the highest tearing strength values. In addition, the bursting strength values of fabrics containing core yarn are higher than fabrics without core yarn. It was seen that the elasticity values of denim fabrics produced using core yarn are generally above 50%. However, the highest growth values were seen in the fabrics with the highest elasticity.