Kinds Of Fabrics Research Articles

Fabric Defect Detection in Real World Manufacturing Using Deep Learning

Defect detection is very important for guaranteeing the quality and pricing of fabric. A considerable amount of fabric is discarded as waste because of defects, leading to substantial annual losses. While manual inspection has traditionally been the norm for detection, adopting an automatic defect detection scheme based on a deep learning model offers a timely and efficient solution for assessing fabric quality. In real-time manufacturing scenarios, datasets lack high-quality, precisely positioned images. Moreover, both plain and printed fabrics are being manufactured in industries simultaneously; therefore, a single model should be capable of detecting defects in all kinds of fabric. So training a robust deep learning model that detects defects in fabric datasets generated during production with high accuracy and lower computational costs is required. This study uses an indigenous dataset directly sourced from Chenab Textiles, providing authentic and diverse images representative of actual manufacturing conditions. The dataset is used to train a computationally faster but lighter state-of-the-art network, i.e., YOLOv8. For comparison, YOLOv5 and MobileNetV2-SSD FPN-Lite models are also trained on the same dataset. YOLOv8n achieved the highest performance, with a mAP of 84.8%, precision of 0.818, and recall of 0.839 across seven different defect classes.

Dyeing of advanced denim fabrics (blend of cotton/bicomponent polyester filaments) using different processes and artificial intelligence method

Denim clothes are the must-have items of clothing around the world. This kind of fabrics is evolving with the increasing consumer demand in order to keep its place as a versatile article. In this context, this paper contributes to the development and dyeing of a new blend fabric made of cotton fibers and bicomponent polyester filaments (PET/PTT). A comparative study between the mechanical and thermal properties of this fabric and conventional fabrics has confirmed the great interest to use bicomponent (PET/PTT) filaments in the manufacture of denim fabrics; these bicomponent filaments allow to give to wearer the desired elasticity and comfort. For dyeing (cotton/bicomponent polyester filaments) blend fabric, three different processes, using reactive and disperse dyes, were tested and analyzed. These dyeing processes are: two-baths/two-phases, one-bath/two-phases, and one-bath/one-phase processes. In addition, in order to obtain uniform shades between cotton fibers dyed with reactive dyes and bicomponent polyester filaments dyed with disperse dyes, an ant colony algorithm was elaborated to predict the optimal dye recipes. By observing obtained results, the developed algorithm is very effective; it allows to find the combination of reactive dyes necessary to achieve the same shade obtained by the disperse dyes with very small color differences between the two components and without having to make corrections mainly for the one-bath/two-phases process. Indeed, dyeing using the two processes (two baths/two phases and one bath/two phases) presents the best values of color yield (K/S) with almost similar results (ΔECMC(2:1) < < 1). For the one-bath/one-phase process, it presents less significant results; We can observe ΔECMC(2:1) greater than 1 in certain shades. This is due to the strongly pH value (basic pH of 11) of reactive dyeing.

Pixel-level pruning deep supervision UNet++ for detecting fabric defects

Due to the complexity of fabric texture and the diversity of defect types, fabric defect detection is quite challenging. At present, fabric defect detection algorithms based on deep learning have achieved good detection results, but there are still some key issues to be solved. First, the existing network models remain unchanged once they have been built. When they are used to detect defects of different kinds of fabrics, the network model cannot be adjusted flexibly according to the characteristics of the fabrics, which reduces the efficiency of algorithm detection. Second, the imbalanced category of fabric defect samples makes model training more challenging. Moreover, the number of defective pixels is very small compared with the number of pixels in the whole image, which further increases the difficulty of fabric defect detection methods. To solve these problems, we propose a pixel-level pruning end-to-end deep supervision DSUNet++ architecture for fabric defect detection. The DSUNet++ architecture consists of an encoder, a decoder, and a series of cascade operations for fusing the detailed features of the shallow layer and the abstract features of the deep layer. The deep supervision is embedded into the outputs of different depths in the DSUNet++, which can prune the network reasonably according to the characteristics of different kinds of fabrics, so as to balance the depth, speed and precision of the network. Furthermore, the cross-entropy loss function weighted by the median frequency CEloss_MFB is introduced to overcome the problem of imbalanced fabric defect sample categories and detection rate decrease of small pixel defects. The experimental results show that the average detection rate of the method is 97.68% and 99.01% in the defect detection of raw fabric and patterned fabric, respectively.

Properties of graphene composite fiber seamless knitted fabric and its application in boxing training

In boxing, the wrong training methods can easily cause physical injury, so many sports protective clothing will use new materials to reduce the impact of boxing training. The aim of this paper is to design a boxing suit based on graphene composite fiber seamless knitted fabric, so as to reduce the injury of boxers during training. In this paper, the head yarn, inner yarn and knitting structure of graphene composite fiber seamless knitted fabrics are discussed, and nine kinds of fabrics are determined by orthogonal matrix method; then, a comprehensive evaluation of the wear resistance of fabrics was proposed based on sequence entropy weight technology, and the ideal solution similarity (TOPSIS) method was used to calculate the wear resistance; finally, this paper designed the boxing protective suit according to the best combination of performance. The experimental results in this paper showed that the veil of sample No. 7 is 70D/48F graphene nylon, the inner yarn is 30D graphene spandex/70D graphene nylon covered yarn, and the fabric with the knitted structure of 1 + 3 false rib has the best comprehensive performance and the highest relative proximity, reaching 0.862. The actual wearing test proves that the comfort of anti-impact boxing suit is slightly better than that of ordinary boxing suit. The clothing designed in this paper has good anti-impact effect. Therefore, on the whole, the boxing suit with graphene composite fiber seamless knitted fabric has good protective effect and can be used for boxing training.

Phosphorylated Cotton Cellulose as a Matrix for Generating Chlorine Dioxide.

Currently, developing disinfectant materials is of utmost importance. A significant advantage of our fabric is its reusability. The disinfectants based on a natural polymer of cellulose have been barely investigated. Our work presents a modified cellulose material, and the data obtained for the first time on the chlorine dioxide generation process when treating the material with a sodium chlorite alcohol solution. A method of applying NaClO2 onto the fabric by impregnating it with a solution sprayed by an aerosol generator is proposed. This kind of fabric is capable of withstanding multiple usages after pre-washing and rinsing. The lowest alcohols-methanol, ethanol and isopropanol-are proposed as optimal solvents. It was shown that the phosphorylated cotton cellulose fabric impregnated with this solution generates chlorine dioxide during the first 25-35 min. Neither humidity nor expedites improve the process of releasing the chlorine dioxide, but high moisture content in the air causes the complete absorption of ClO2 by microdrops and its removal from the gas environment. A promising technique for removing the excess ClO2 by the means of UV treatment is proposed: after 15 min of treating ClO2 in the gas phase, it disappears entirely. These materials could be used as disinfectants in different industries, such as food and industrial manufacturing.

Study on the shear-pretension coupling behavior of 3D uniform and variable thickness woven fabrics

Pretension is regarded as an effective way to suppress the draping defects caused by the excessive shearing deformation of preforms during the manufacturing of woven composites. However, the research of shear-pretension coupling behavior on the 3D woven fabric uniform and variable thickness structures has not been carried out. In present study, the behavior of the two kinds of woven fabric structures is investigated. The picture frame shear test for fabrics are conducted with applied pre-tension for the work. The relationship between shear stress and shear angle under different pre-tension levels of the two kinds of fabrics is analyzed. Furthermore, the detailed comparison of shear-pretension coupling behavior between the two kinds of woven fabric structures is also analyzed. Finally, the effect of variable thickness condition on the in-plane shear properties for woven fabric variable thickness structure is investigated. The research provides experimental data support for the forming design of preforms of heterogeneous 3D composite structures.

Assessment of bioagents against cotton diseases under South Gujarat of India

Cotton (Gossypium spp.) is one of the most important economic products of the group of fibres due to volume and value of production. Its cultivation is also of great social importance, due to the number of jobs generated directly or indirectly. The fibre, the main product of cotton has many industrial applications. The manufacturing of yarn for weaving of various kinds of fabrics, cotton batting for hospital use, felt clothing, blankets and upholstery, photographic films and plates for radiography among others. Here in this experiment, different bioagents were evaluated against the cotton foliar disease. This experiment engage the total nine treatments including control from which, treatment T5 (14.50 PDI) (Seed and soil application Pf CICR i.e., seed application: 108cfu/g @10g per kg of seed soil application: 2.5 kg/ha at 30 and 60 DAS) followed by T8 (18.33 PDI) significantly recorded minimum bacterial leaf blight infection in comparison to the treatment T9 i.e. control (42.33 PDI) in RCH 2 BG II hybrid. For Alternaria leaf spot disease, treatment T8 (8.17 PDI) (Seed treatment with Pseudomonas fluorescens CICR (2 x 108cfu/g) @ 10 g/kg seed + soil application of Trichoderma viride TNAU1 (2 x 106 cfu/g) @ 2.5 kg/ha in 250 kg of vermicompost and sprays of Kresoxim methyl (0.0443%) followed by Captan 70% + Hexaconazole 5% WP @ 1.5 g/l) were recorded significantly minimum Alternaria leaf spot disease in RCH 2 BG II hybrid as compared to the T9 i.e. control (19.33 PDI) followed by T7 (9.83 PDI) and T3 (10.50 PDI) treatment. The highest seed cotton yield was recorded in the treatment T5 (2606.00 kg/ha) followed by treatment T8 (2335.33 kg/ha) and treatment T7 (2275.67 kg/ha), respectively.

Persian and Russian Names of Textiles Imported to Russia from Iran in the First Half of the 17th Century, as Listed in the Inventories of Goods and Diplomatic Gifts

The question of the origin and ways of borrowing into the Russian language of the names of oriental fabrics, which were imported in large quantities into Russia in the 17th century, has been attracting attention of scholars for a long time, but synchronous bilingual Persian Russian sources were hardly involved in the study of this issue. The article examines a number of such sources stored in the Russian State Archive of Ancient Acts: these are lists of goods and gifts brought from Safavid Iran by trade and diplomatic representatives of Shah Safi I (1629–1642), accompanied by a Russian translation and stored in f. 77 “Relations between Russia and Persia”. The study of these materials makes it possible to determine the range of fabrics imported on behalf of the Shah, to clarify the meaning and scope of use of a number of Russian and Persian terms, as well as the time of penetration of some borrowed Iranisms into the Russian language. The terms borrowed from Persian and other foreign languages were previously correlated by researchers with specific samples of textiles stored in museum collections. Thanks to this, having established synchronous lexical correspondences, it is possible to more accurately determine what kind of fabrics with what technological features were designated by Persian terms, the definitions of which in the explanatory dictionaries of the Persian language are often contradictory.

Antibacterial fabrics based on synergy of piezoelectric effect and physical interaction

Antibacterial clothes play a key role in reducing the spreading threat of bacteria, thus protecting people’s health. In this work, several kinds of fabrics with high antibacterial efficiency have been demonstrated based on piezoelectric effect of ZnO nanowire (NW) arrays and their physical interaction with bacteria. Piezoelectric effect of NWs under bending can generate interface electrons, and electrons transfer between the bacteria and the NWs can hinder growth of bacteria and cause bacteria death. Electron transfer accounts for about 70 % of bacteria death, while residual 30 % of death is due to the puncture of NWs. The fabrics show remarkable antibacterial properties against Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli), with the bactericidal rate of 99.99 %, promising their practical applications. The antibacterial fabrics demonstrated in this work lay a solid foundation for antibacterial clothes.

Exploring &lt;i&gt;Lannea coromandelica&lt;/i&gt; Leaves as a Renewable Sources of Natural Dye for Textile Applications

Dyes derived from plants have emerged as an important substitute to synthetic dyes. However, total share of natural dyes in textile sectors is very minimal due to certain technical and sustainability issues involved in their production and use. Inconsistent supply of raw material is one among them that is hampering the desired pace of their production and applications. Therefore, exploration of increasingly new plant sources of natural dye is warranted. The present investigation was aimed at introducing natural dye extracted from the leaves of Lannea coromandelica for dyeing different kinds of fabrics. Natural dye was extracted from the leaves by aqueous extraction and dyeing performance on silk, wool, and cotton fabrics under post mordanting condition were evaluated in terms of CIE L* a* b* values and fastness properties of the dyed fabrics using standard methods according to international standards. Majority of dyed fabric samples exhibited colour fastness in the range of very good to excellent. The study leads to the conclusion that dye extracted from L. coromandelica leaves can be used as colorant for textile dyeing thus establishing the plant leaves as a feasible and promising source of natural dye

Ceramized Fabrics and Their Integration in a Semi-Pilot Plant for the Photodegradation of Water Pollutants

The use of nano-photocatalysts for the water/wastewater purifications, particularly in developing regions, offers promising advantages over conventional technologies. TiO2-based photocatalysts deposited on fabrics represent an efficient solution for obtaining heterogeneous photocatalysts, which are easily adaptable in the already installed water treatment plants or air purification systems. Despite the huge effort spent to develop and characterize novel nano-photocatalysts, which are especially active under solar light, knowledge gaps still persist for their full-scale application, starting from the reactor design and scale-up and the evaluation of the photocatalytic efficiency in pre-pilot scenarios. In this study, we offered easily scalable solutions for adapting TiO2-based photocatalysts, which are deposited on different kinds of fabrics and implemented in a 6 L semi-pilot plant, using the photodegradation of Rhodamine B (RhB) as a model of water pollution. We took advantage of a multi-variable optimization approach to identify the best design options in terms of photodegradation efficiency and turnover frequency (TOF). Surprisingly, in the condition of use, the irradiation with a light-emitting diode (LED) visible lamp appeared as a valid alternative to the use of UV LED. The identification of the best design options in the semi-pilot plant allowed scaling up the technology in a 100 L pilot plant suitable for the treatment of industrial wastewater.

Weaving and mechanical properties test of polylactic acid/ramie composite fabric

In view of the weak mechanical properties of polylactic acid fiber, the excellent mechanical properties of ramie fiber are selected to enhance the performance of polylactic acid fiber, thereby forming a composite fabric, and weaving plain weave fabric, twill weave fabric, satin weave fabric and square plain fabric by weaving method., Twill change fabric and satin change fabric six kinds of fabrics. Electronic thickness meter, electronic strength meter, and electronic bursting tester were used to test the thickness, tensile fracture and burst performance of 6 kinds of fabrics, and the reasons for the differences between the fabrics were discussed. The research results show that the mechanical properties of composite fabrics are better than those of pure polylactic acid fabrics. In addition, in terms of tensile fracture performance, the satin weave fabric is the strongest, and the satin weave is the strongest in burst performance. In terms of fabric thickness, the lowest thickness value is plain weave, but the thickness value, tensile breaking and bursting properties of square flat fabrics are ranked second, so the overall performance is always the strongest.

Combination of silk fabric and natural rubber for the development of green composites: Influence of curing on mechanical and thermal properties

Unmodified natural rubber is not suitable for any elstomeric applications. Therefore, it is appropriate to modify natural rubber chemically to enhance the stability, which can be termed as vulcanization. Incorporation of fibers/fabrics is a common method to increase the stability of natural rubber along with chemical modification. Natural rubber-based composites have been prepared by the addition of silk fabric into natural rubber. The matrix material for the composite is glutaraldehyde cured natural rubber. Silk is an ecofriendly and biodegradable material with excellent tensile strength. When such kind of fabric is introduced into the vulcanized rubber as the matrix, all the physical properties were found to be enhanced considerably. Tensile properties in terms of ultimate tensile strength, elongation at break, and modulus of elasticity are measured for the composites of natural rubber/silk fabric at various glutaraldehyde concentrations. Thermogravimetric analysis and temperature scanning stress relaxation techniques are employed to evaluate the thermal stability of the resulting composites. Effects of glutaraldehyde addition on the physical properties of the composite were studied in detail. Considerable enhancement in the stability of natural rubber in terms of tensile properties, thermal stability, and solvent resistance is noticed up on the incorporation of silk fabric as well as glutaraldehyde curing.

DEVELOPMENT OF OPTICAL TRANSDUCER ON FABRICS FOR THE APPLICATION OF LIQUID CLUSTERING USING REFLECTANCE SPECTROSCOPY

Recently, usage of fabrics as wearable device, along with their applications are increasing, one example being the detection of bio-analyzes such as blood or sweat. One method used to observe the properties of the material of a fabric is to use the Refcletance Spectroscopy, in which excitation of monochromatic light with a specific wavelength is given to a fabrics. Intensity value is then processed using the PCA method in order to obtain the pattern of the difference between each substrate. The proposed transducer optic system consists of 405nm blueviolet laser as the light source, biconvex lens, Adafruit AS7262 light detector, and Arduino. This system can only detect the difference in substrate content from the occurring light scatter. This system can be applied to various kinds of fabric wearable material with differing scatter intensity values depending on the kind of fabrics. Softer kind of fabric is proposed as material for the wearable device because it gives a high scatter intensity value and constant values in every repetation which results in better data reading.Keywords: clustering, optical, reflectance, spectroscopy, transducer, wearable.

Identification and Analysis of GhEXO Gene Family Indicated That GhEXO7_At Promotes Plant Growth and Development Through Brassinosteroid Signaling in Cotton (Gossypium hirsutum L.)

Brassinosteroids (BRs), an efficient plant endogenous hormone, significantly promotes plant nutrient growth adapting to biological and abiotic adversities. BRs mainly promote plant cell elongation by regulating gene expression patterns. EXORDIUM (EXO) genes have been characterized as the indicators of BR response genes. Cotton, an ancient crop, is of great economic value and its fibers can be made into all kinds of fabrics. However, EXO gene family genes have not been full identified in cotton. 175 EXO genes were identified in nine plant species, of which 39 GhEXO genes in Gossypium hirsutum in our study. A phylogenetic analysis grouped all of the proteins encoded by the EXO genes into five major clades. Sequence identification of conserved amino acid residues among monocotyledonous and dicotyledonous species showed a high level of conservation across the N and C terminal regions. Only 25% the GhEXO genes contain introns besides conserved gene structure and protein motifs distribution. The 39 GhEXO genes were unevenly distributed on the 18 At and Dt sub-genome chromosomes. Most of the GhEXO genes were derived from gene duplication events, while only three genes showed evidence of tandem duplication. Homologous locus relationships showed that 15 GhEXO genes are located on collinear blocks and that all orthologous/paralogous gene pairs had Ka > Ks values, indicating purifying selection pressure. The GhEXO genes showed ubiquitous expression in all eight tested cotton tissues and following exposure to three phytohormones, IAA, GA, and BL. Furthermore, GhEXO7_At was mainly expressed in response to BL treatment, and was predominantly expressed in the fibers. GhEXO7_At was found to be a plasma membrane protein, and its ectopic expression in Arabidopsis mediated BR-regulated plant growth and development with altered expression of DWF4, CPD, KCS1, and EXP5. Additionally, the functions of GhEXO7_At were confirmed by virus-induced gene silencing (VIGS) in cotton. This study will provide important genetic resources for future cotton breeding programs.

Visualization of latent fingermarks on fabric using multi-metal deposition (MMD)—A preliminary study

Multi-metal deposition (MMD) is a versatile fingermarks detection technique adapted from the colloidal gold biolabeling. However, the tedious procedures of MMD makes it receive little attention compared with other methods. The aim of this study is to evaluate the efficacy of MMD technique on several common fabrics, which is considered notoriously challenging for latent fingermark detection. Four different MMD formulations were examined to process fingermarks deposited on nylon taffeta, polyester taffeta, polyester pongee and cotton sateen to determine the most suitable one and the influence of aging and water immersion were also determined through subsequent experiments. It was found that MMD I outperformed other three formulations and obtained excellent results on nylon taffeta, polyester taffeta and satin ribbon, with polyester taffeta and satin ribbon providing more than 30% of identifiable marks even for fingermarks aged over 28 days. Cotton sateen and oxford cloth failed to produce ridge details but evidence of “touch” were successfully visualized, which may contribute to further DNA extraction. Water immersion did have some observable influence on the quality of detected marks as part of the MMD reactant within fingermarks lost during immersion, but the result from nylon taffeta and satin ribbon is still satisfying with the percentage of marks scored 3 and 4 reached 30%. The result of this study confirmed the capability of MMD I in treated with fingermarks on several kinds of fabrics, and shows potential to promote this non-instrumentation dependent technique.

Characterization of tensile creep behavior of fabric-reinforced PVC flexible composites

This paper presents an experimental study on the tensile creep behaviors of PVC flexible composites reinforced with both polyester warp-knitted biaxial fabrics and woven fabrics, and their viscoelastic properties under different temperatures (20 °C, 40 °C, 60 °C) were explored after 24 h creep with 10% stress. The results showed that all the samples presented the typical viscoelastic behavior, and their creep rates could reach to 90-97% after 7 h creep, and then being steady up to 24 h. Moreover, the strength retention enhancement of PVC flexible composites by warp-knitted fabrics was higher than that of PVC flexible composites enhanced by woven fabric. The Findley model was utilized to describe the creep behavior of PVC flexible composites enhanced by two kinds of fabrics. Through fitting of experimental data with the model, the anti-creep behavior of PVC flexible composites enhanced by biaxial warp-knitted fabric was superior than that of one improved by woven fabrics. The characterization of tensile creep behavior has great application potential in predicting the long-term performance of fabric-reinforced PVC flexible composites.

Effect of Knitting and Finishing Parameters on the Initial Young’s Modulus and Tensile Strength for Polyester Weft Knitted Interlock Fabric

75D/72f and 100D/96f polyester yarns were knitted to develop three kinds of fabrics with different densities (large, medium and small) on circular knitting machine (gauge E18). It was found that the strength of the fabrics increased with the increase of loop density, and the initial modulus of the fabrics also increased. In order to obtain better strength and lower initial modulus, the washing and heat setting process of the fabric were studied and explored. The strength and initial modulus of the three density fabrics of the two yarn specifications decreased after pre-washing. Finally, the lowest initial modulus (0.36 MPa at warp direction and 0.22 MPa at weft direction) were found in sample (sample no. 3–3) made of 75D filament in longest loop length under 140 °C heat setting. The weft strength and warp strength were 9.54 MPa and 5.28 MPa respectively.

Research on the conductivity of circuit on fabrics based on inkjet printing and electroless deposition technology

Traditional silicon semiconductor substrate based electronic manufacturing has the shortcomings of non-bending, poor biocompatibility, and high cost. Fabric is more suitable for wearable electronic substrate due to its advantages of flexibility, air permeability, and skin-friendliness. We studied the manufacture of the conductive circuit based on inkjet printing and electroless deposition technology and got excellent conductivity and high dimensional accuracy circuit on fabric substrates. Three kinds of commonly used fabric materials cotton, polyester/cotton and polyester are selected to study the key work of surface pre-treatment, inkjet printing circuit pattern, and electroless deposition. The synergetic effect of SU-8 and P4VP (poly-4-vinylpyridine) on fabric ensures that the pattern retains its original size rather than diffusing. The distance between adjacent electric lines is no less than 0.3mm. With the extension of copper deposition time, the copper deposition layer becomes more and more uniform and dense. Sheet resistance reached 0.01Ω after 2 hours of copper deposition. The performance of all three kinds of fabric is similar. And cotton fabric had the best water lock performance. This technology has great potential for promotion and development in the application of intelligent textiles in the future.

Research on the Inheritance Status and Countermeasures of Weishan Fisherman Hutou Clothing in Shandong Province

Weishan Fishman Hutou clothing is a kind of fabric that spreads around Weishan Lake, which is the inheritance and development of ancient tiger culture. Weishan Fishman Hutou clothing is a traditional handicraft that integrates folk painting, embroidery, paper-cutting, pasting, digging and mending. Its making technique is complex and has high practical value and artistic value. It has special ideological connotation and shows unique folk art style. In 2009, Weishan fisherman hutou clothing was listed in the upgrading intangible cultural heritage list project by Shandong Provincial People's Government. In this paper, the inheritance status and countermeasures of hutou clothing, a fisherman, are studied, with a view to making beneficial exploration on the inheritance and development of excellent traditional culture.