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This study is based on environmental sustainability and aims to explore the preparation and evaluation of biodegradable bio-fibre materials using discarded bougainvillaea, loofah, and aloe. After sorting and analyzing the existing literature, it is found that research on bougainvillaea, loofah, and aloe primarily focuses on environmental science, horticulture, biology, light industry, and pharmacy, while research on bio-fabric combining bougainvillaea, loofah, and aloe in two or three combinations remains unexamined. This study adopts both observational and experimental methods to identify candidate varieties suitable for natural dyeing by observing the characteristics of bougainvillaea and by preparing and testing bio-fibre materials through experimentation. Notably, the beet pigment found in bougainvillaea serves as a natural dye, the α-cellulose and hemicellulose in loofah sponge provide strong hydrophilicity, and the caffeic acid and rhamnolipids in aloe exhibit antioxidant and antibacterial properties, thereby improving the fabric’s safety. Experimental results and final bio fibre performance tests indicate that fibres made from these three plants have a stable internal structure, abrasion resistance of over 30,000 cycles, colour fastness concentrated at level 4, and a contact angle of less than 90°, thereby showing good stability, abrasion resistance, colour fastness, and hydrophilicity. Consequently, this study finds that bio-fibres prepared from bougainvillaea, loofah, and aloe demonstrate promising performance and are expected to contribute to the development of sustainable fibres in the future.

Consumers recognize the appearance and texture of fabric through viewing photographic images on E-commerce. However, the relationship between evaluations of the actual fabric and its image remains unclear. To understand the evaluation difference between actual fabric and its image, we investigated the relationship of visual evaluations including the price evaluation between actual white fabrics used for dress shirts and their photographic images concerning the online purchase of items presented by their photos. Participants evaluated the impressions of 24 white fabrics (actual fabrics and their images), comparing them with a standard white fabric. Participants also estimated the prices of shirts hypothetically made from different fabrics. We compared the difference between the results for actual fabrics and images. We also carried out a principal component analysis of those impressions and examined the relationship among principal component analysis results, weave structure, and fabric materials and price estimation. In a comparison of actual fabric and image evaluations, the impression of glossiness and brightness differed, with the actual fabrics being rated significantly higher in terms of glossiness and brightness. These differences are due to the difference in media (i.e., direct viewing versus screen display), although the visual environment of the lighting and displays may have had an effect. In principal component analysis, the first principal components were Delicateness and Glossiness for both actual fabrics and their images. The second principal components were Lightness and Coolness for the images of fabrics and Lightness, Coolness, and Softness for the actual fabrics. Fabrics evaluated highly in the first principal component had high price estimations. Thus, it is clear that Delicateness and Glossiness affected the price evaluation for both actual white fabrics and their images. Fabrics with a high value of Delicateness and Glossiness were a poplin made of at least 95% cotton. In contrast, fabrics containing linen and having a small repeating dobby pattern with roughness were evaluated as having low Delicateness and Glossiness and were assessed at a lower price. Additionally, even in the case of blended fabrics such as a cotton–polyester fabric, the expected price was high for diagonal patterns such as stripes and checks. These results will be helpful in the procurement of fabrics with which to make clothing and in the marketing of clothing for E-commerce.

The shortcomings of traditional pile fabric design and simulation in simulating clustered structures are addressed in this study by proposing a new three-dimensional (3D) simulation method. To accurately capture the details of clustered pile fabrics, a fine geometric model of a single pile loop is first established, and a novel geometric transformation algorithm, combined with rotational transformations and trigonometric calculations, is employed to achieve the natural aggregation of pile fibers, resulting in a highly realistic clustered structure. Additionally, to enhance design flexibility and accuracy, a pile design pattern is introduced, and for the first time, a Depth-First Search (DFS) algorithm is utilized for precise pattern recognition and determination of the directions of pile fibers, effectively solving the challenges of clustered area identification. To enhance the visual realism of the simulation, the Phong illumination model is adopted to simulate the lighting effects on the fabric surface, and blurring processes are applied to eliminate sharp edges and noise, resulting in a softer and more natural simulation output. Based on the recognition results from the DFS algorithm, the directions of the pile fibers are finely adjusted to achieve a realistic simulation of clustered pile fabrics. Experimental validation demonstrates that the proposed method produces 3D simulation results that closely resemble actual pile fabrics, demonstrating significant practical value and innovation.

A finite element analysis model was employed to analyze the heat conduction behavior of glass fiber/metal (stainless steel, aluminum, or oxygen-free copper) composite materials under a constant thermal load of 100°C on the metal surface, i.e., the temperature distribution after reaching thermal equilibrium. By comparing and analyzing the effects of different metal materials, different air convection heat transfer capabilities, and different metal phase thicknesses, the heat transfer mechanism is elaborated. The results indicate that the metal with stronger heat conduction capacity induces more uniform temperature distribution, while the temperature uniformity on the fiber is relatively worse. Besides, with the increase of the air convection heat transfer coefficient, the temperature on the fiber phase shows a significant downward trend, however, the impact on the metal phase remains limited. In addition, the metal thickness primarily affects the weight or rigidity of the composite material, with minimal impact on temperature distribution.

The fashion and textile industry significantly contributes to environmental degradation through unsustainable manufacturing and waste disposal practices, particularly in South Africa's retail sector. This study examines the retail merchandise cycles of two prominent clothing retailers based in Cape Town, South Africa to identify stages that generate substantial fashion and textile waste and proposes a model to enhance sustainability within the industry. Adopting a qualitative, interpretive research paradigm, data were collected through purposive sampling and in-depth interviews with key personnel, primarily buyers, within the selected companies. The research involved mapping and analyzing each retail cycle phase to identify excessive waste generation points. The findings revealed that retailers produce considerable amounts of waste (pre- and post-consumer) due to fast fashion practices and insufficient recycling systems. While both companies acknowledged the importance of sustainability, there was a notable lack of concrete policies and limited visibility into supplier processes concerning environmental impact. The study identified specific departments and operations within the retail cycles responsible for significant waste production, highlighting the need for systemic changes. Based on these insights, an improved retail cycle model was developed emphasizing waste reduction through sustainable sourcing, enhanced recycling initiatives, and stricter supplier compliance measures. The proposed model aims to minimize environmental harm by integrating sustainability into all aspects of the retail process.

Abstract Textile electrode is capable of measuring the myoelectric potentials of skeletal muscles such as electromyography (EMG), owing to their outstanding low weight, flexibility, breathability, and comfort properties. Nonetheless, textile surfaces often exhibit intermittent adhesion between the electrode surface and the skin, which can result in fluctuations in electrical resistivity due to the inherent characteristics of textiles. This study aimed to suggest the solutions to improve adhesive of textile electrode for the improvement of electrode performance with high quality signal by minimizing these intermittent contacts. For this, an adhesive intermediate, two different conductive materials, between the skin and the textile electrode was introduced to improve the instability skin contact, respectively. To assess the impact of various adhesive intermediates on knitted electrodes, two different types of adhesive intermediates were utilized: a conductive hydrogel-based adhesive intermediate and a conductive paste-based adhesive intermediate. Moreover, the durability of knitted electrodes with adhesive intermediate was evaluated by assessing the changes of signal quality during drying time for 180 min. As a results of sEMG measurement, it was confirmed that the sEMG signal was stably detecting by applying the adhesive intermediate. Both types of adhesive intermediate significantly increased the signal acquisition performance of knitted electrodes by more than threefold. After five washing cycle, the knitted electrodes with two types of adhesive intermediate maintained approximately 80% of their initial SNR values. Therefore, the use of the adhesive intermediate presented in this study not only improves the performance of the electrode but also ensures reusability.

This article delves into the application of Morris' semiotics in innovative clothing design, specifically focusing on constructing a model for the translation and regeneration of cultural symbols in ski wear. By meticulously examining the semantics, syntactics, and pragmatics of cultural symbols, it derives essential styling elements, structural components, and functional attributes for the design. Notably, the study also highlights the gap in research regarding the fusion of local elements into foreign-introduced products, such as ski wear. By exploring the current research status and development trends of cultural symbol theory within the context of innovative ski wear design, this study not only expands the scope of ideas for personalized innovative design of ski wear products but also discusses the potential for extending these conclusions to other types of clothing, thereby contributing to a broader understanding of innovative design practices across the apparel industry.

Abstract The surface area of the working electrode plays a crucial role in determining the sensor’s performance, especially in enzymatic sensors. Increasing the surface area of the working electrode has a significant impact on the sensor’s functionality. This research focused on developing textile-based sensors using a multi-layer concept, employing the direct coating method. Two different sensors which are multilayer textile-based sensor (MTBS) and single-layer textile-based sensor (STBS) were prepared, while commercial screen-printed carbon electrode (SPCE) was also used as a comparison. The measurements were carried out using potassium ferricyanide solutions with concentrations of 0.01 M, 0.02 M, 0.03 M, 0.04 M, and 0.05 M at a voltage of 1 V, with a maximum duration up to the end of the measurement and a time interval of 0.5 s. According to the research findings, the fluid spreading speed of the SPCE is the lowest when compared to the spreading speeds of the MTBS and STBS. Specifically, the fluid spreading speed of the SPCE is 4.3 times slower than that of the STBS and 51 times slower than that of the MTBS. Utilizing a multi-layer concept with specific coatings can lead to better-performing sensors in terms of stability and sensitivity. The MTBS exhibits the greatest sensitivity, as indicated by its linear equation slope of 717.230 µA µM−1 cm−2.

This study analyzes the production process of traditional Chinese velvet flowers and their cultural inheritance and innovative applications. Through literature review, case studies, and field research, it explores the historical evolution of velvet flower craftsmanship, its technical characteristics, and its application in modern design. The research shows that velvet flower craftsmanship has been revitalized with the help of intangible cultural heritage protection and modern design, demonstrating new vitality in the fashion and home decor fields. This paper proposes strategies for promoting the global dissemination and sustainable development of velvet flower craftsmanship, guiding the modernization of traditional handicrafts.

The quantitative determination of wool and cashmere mixed fiber is an indispensable quality control link in the textile industry, crucial for improving international trade status, ensuring product quality, and safeguarding consumer rights. Therefore, the goal of this study is to develop a reliable method for estimating fiber contents in wool–cashmere blends based on near-infrared (NIR) spectroscopy. A total of 210 mixed samples of 21 different proportions of cashmere and wool are prepared in the experiment, and data are collected in the NIR spectral band of 1,000–2,500 nm. Convolution Savitzky–Golay (S–G) combined with the second-order derivative is then used for spectral preprocessing. The variable iterative space shrinkage approach (VISSA) optimizes the characteristic wavelengths, and 339 wavelength points are selected. The prediction model of the least squares support vector machine (LSSVM) is established by particle swarm optimization (PSO), fast positioning, and analysis of key information related to the target in complex spectral data. Finally, the training set and the prediction set are divided according to the ratio of 8 : 2. Experiments show that in terms of modeling and prediction, the PSO-LSSVM model based on the wavelength selected by VISSA has a prediction determination coefficient R-squared of 0.9821, a prediction root mean square error of 1.1263, and an mean absolute error of 0.6527. The hybrid modeling method of VISSA, PSO, and LSSVM based on NIR spectroscopy (VISSA–PSO–LSSVM) can provide a more accurate and stable method for the non-destructive detection of cashmere and wool blended fiber content.

Abstract This study investigated the antimicrobial efficacies of fabrics (100% cotton and 100% silk) dyed with an ethanol extract of Gardenia jasminoides (G. jasminoides). More specifically, these fabrics were dyed using a G. jasminoides extract with a dye bath ratio of 1:20 at 40–60 °C for 60 min, followed by post-mordanting. The concentrations of the aluminum sulfate, copper sulfate, and ferrous sulfate mordants were each set to 3% (o.w.f.). The samples were mordanted using a mordant bath ratio of 1:30 at 40 °C for 20 min. The iron mordant slightly increased the dye uptake (K/S) of the cotton fabric but did not increase the dye uptake (K/S) of the silk fabric. The antimicrobial efficacies of the dyed fabrics against methicillin-resistant Staphylococcus aureus (MRSA) ATCC 33591 were determined to be 99.8 and 87.8% for the cotton and silk fabrics, respectively. The inhibitory effects of the cotton and silk fabrics against MRSA were 30.5 × and 167.3 × the inoculum size, respectively, indicating the superior inhibitory effect of the dyed cotton fabric. These results suggest that the fabrics dyed with G. jasminoides extract may possess antibacterial activity against antimicrobial-resistant bacteria.

The clothing industry is often perceived, particularly in the European context, as a declining, traditional, labour-intensive industry. Nonetheless, in recent years in Poland, after over three decades of steady shrinkage, though the average scale of operations has continued to decline, the number of firms in the sector has been much more stable. In their analysis of the locations of apparel producers on the national level, the authors point to the changing geography of the sector in terms of its increased or diminishing relative presence in some areas. The links between location tendencies among firms in the clothing industry and other fashion-related institutions and initiatives are noted, as are new firms in the creative sector. The spatial patterns observed point to the ability of the resized sector to leverage emerging market opportunities and upgrade selectively, and to its broader evolution from a traditional towards a creative industry.

Textile industry has a significant water footprint (WF), leading to various sustainability challenges. This article discusses key findings on the WF and outlines potential solutions. The industry’s WF includes three types: green, blue, and grey. Textile manufacturing is water-intensive, with stages like pretreatment, dyeing, printing, and finishing. This can contribute to water scarcity in some regions. Water pollution is another critical challenge, as the industry generates considerable wastewater containing diverse pollutants which can harm ecosystems and pose risks to public health. Different treatments to reduce the pollutants in water are studied. We have grouped innovations into five major categories for water conservation efforts in the textile industry: To address these sustainability challenges, several solutions are proposed. Each category offers a pathway to reduce its environmental footprint through water conservation. The adoption of water-efficient technologies, such as low-water dyeing and wastewater recycling, can reduce water consumption. Stricter policies for pollution control, along with incentives for sustainable practices, can encourage industry-wide change. Collaboration among stakeholders, including industry, government, and environmental groups, is also crucial for promoting sustainability and reducing the industry’s environmental impact. These approaches can help the textile industry move toward a more sustainable future. Further research needed is suggested.

This research endeavors to analyze the dynamic characteristics of the dobby, particularly the influence of a modulator on the dynamic response of the heald frame. By constructing precise kinematic and dynamic mathematical models and employing efficient computational algorithms, this study delves into the motion behavior of dobby. Component elastic deformation is considered, and a detailed analysis of the heald frame’s vibrational properties is conducted. With the establishment of dynamic and kinematic equations, coupled with Taylor series expansion and partial derivative techniques, the displacement errors were accurately calculated. The implementation of the fourth-order Runge–Kutta method facilitated numerical simulation, allowing for the analysis of the effect of cam profile errors on vibrational characteristics. The findings indicate that cam profile machining and system errors significantly influence the vibration amplitude under high-speed conditions. Consequently, this research highlights the imperative to control operating speeds in the design and operation of dobby and enhance vibration stability through precise machining of cam profiles, using high-precision equipment, and regular maintenance, which are essential for optimized design and improved stability and reliability.

The textile and clothing industry is undergoing a shift towards a circular business model, driven by new European Commission regulations, which mandates that by 2030, textile products available on the European Union (EU) market must be recyclable and sustainable. To facilitate data collection, storage, and sharing throughout the entire product lifecycle and ensure product traceability and sustainability, the use of Digital Product Passports (DPPs) will be required. This article presents an analysis of the most commonly known digital data technologies from the perspective of their use in digital garment labelling, describing their advantages and limitations. The analysis is complemented by practical insights gathered from semi-structured interviews with garment producers in the Baltic Sea region. The survey revealed that producers prioritise sustainability and are prepared to digitise product information but are awaiting EU’s clear guidance. Despite the challenges posed by DPP implementation from the global, producer, and customer perspectives, upcoming regulations are seen as providing new competitive opportunities for products and services. Both the technology analysis and the expert survey indicate that QR (quick response)-based smart tags are potentially the most straightforward solution for the initial phase of DPP implementation.

The current study aims to explore the representative and typical female body shapes through in-depth observation and analysis of the diversity in Malaysian female body shape characteristics across different ethnic and age groups, which assists in facilitating the establishment of accurate apparel size standards. This study was conducted in Selangor, which is the most populous and developed Malaysian state. The data were collected via a highly systematic approach. The K-mean clustering method was applied to synthesise and analyse the collected data, which classified the body types into five major clusters. The results not only revealed significant differences in the distribution of body shapes across ethnic and age groups but also highlighted the limitations of the various sizing systems currently employed by the Malaysian apparel industry to fulfil the requirements of the diverse Malaysian market. The findings provided practical implications for apparel manufacturers and retailers with concrete evidence to support improved product design and enhance customer satisfaction. A deeper understanding and categorisation of Malaysian females’ body types could also assist the apparel industry in developing more tailored sizing systems. Resultantly, an improved system minimises return rates, optimises inventory management, and supports environmental and sustainability goals by reducing overproduction.

In order to derive the structural properties and deformation behavior of the weft-knitted transfer fabric, a multilayer spring-mass geometric circle model with weft-knitted transfer loop is provided in conjunction with the fabric samples’ image. Eight type-value points were utilized to control the transfer loop’s morphological structure. Connections between the type-value points and the particle system were established. Non-uniform rational B spline curves and texture mapping were utilized to create the three-dimensional impression of the weft-knitted transfer loop. By measuring the offset of the type-value points in conjunction, the actual deformation of the weft-knitted transfer fabric was determined. Utilizing a cylindrical envelope box for collision detection, the possible unreasonable interpenetration phenomenon in the simulation was solved, and thus a stable weft-knitted transfer loop structure was obtained. Using Microsoft Visual Studio and C#, the deformation of the weft-knitted transfer fabric was simulated, the simulated weft-knitted transfer fabric’s deformation pattern accurately depicts the fabric’s three-dimensional structure and deformation behavior while also matching the structural characteristics of the fabric sample. The findings demonstrate that the theoretical structural model of weft-knitted transfer fabric constructed can accurately represent the loop’s structure, and the actual deformation of the simulated weft-knitted transfer fabric is consistent with the deformation characteristics of the fabric sample. Weft-knitted transfer fabric’s deformation behavior may be effectively reflected by the multilayer spring-mass geometric circle model, allowing for the modeling of the fabric’s morphology and 3D structure.

Weft-knitted jacquard plush fabrics are widely used and have a wide variety of varieties, but the design and production process is complicated, time-consuming, and labor-intensive. To reduce the time and cost of fabric sampling and production, a method for designing and simulating these fabrics is proposed based on an analysis of their structural characteristics. Following the design principles of weft-knitted jacquard plush fabrics, mathematical models for pattern design and structural design were established sequentially, leading to the generation of a mathematical model for the knitting diagram. Arrays for raw material editing and threading editing were created to set various parameters. Second, loop models were established based on plush loop shapes, including a forming loop model, a U-shaped loop model, a Henkel plush loop model, a “8”-shaped plush loop model, and a O-shaped plush loop model. Finally, the effects of lighting and number of segments were investigated in THREE.Tube Geometry on the simulation’s effectiveness and speed. By comparing actual fabric images with simulation images, the feasibility of the design and simulation method was verified. This resulted in a computer-aided design process for weft-knitted jacquard plush fabrics, providing an effective method for their design and simulation. The proposed method holds significant theoretical and practical values.

Abstract This study aims to explore effective dust removal methods for the improvement of clothing care systems by analyzing the fabric movement caused by the twist motion and examining its influence on dust removal performance. The finite element method simulation was used to model the tension at different vertical and horizontal positions of the fabric as a spring array, to calculate the fabric movements at each position over time when a twisting force was applied and enable comparison with experiments. When observing the fabric movement due to the twist motion with actual fabrics, silk showed the greatest movement, followed by cotton and linen. Cotton experienced decreasing force from the top to the bottom, with increased amplitude at the bottom due to fluttering caused by the bottom not being fixed. When examining the fabric movement according to the velocity, slower velocity did not effectively transmit twist force to the bottom, while faster velocity resulted in more small movements. The analysis revealed that greater force at faster velocity led to better dust removal performance. Therefore, for efficient dust removal, the force transmitted to the fabric should be increased. Most dust is removed within the first 10 min, so exerting a strong force for a short duration is important.

Abstract Fit sessions are essential in making well-fitted clothing. During these sessions, apparel fit is determined iteratively by a team of designers, technical designers, fit models, and merchandisers. With the advent of the digitalization of new product development processes in the fashion industry, fit sessions have been seen as a bottleneck for they are still held in person. However, the process is currently still irreplaceable, and what makes the feedback provided by fit models important is an area that has never been tapped. Therefore, the present study aimed to understand fit models’ role in fit sessions as well as how they assess the fit of garments and deliver their feedback. On-site observation during fit sessions and individual interviews with fit models were conducted. It was found that fit models gave comfort, fit, and tactile comments by testing garments while standing and moving between several postures. They had knowledge that overlapped with those of technical designers and designers and this empowerment enabled them to take part in the decision-making process in fit sessions. It also was found that fit models’ feedback on garments was essential as they were the first people to try on the garments and present the customers’ points of view.

Most of the sports underwear available is sewn using cutting and sewing techniques. During the exercise process, it is easy to cause discomfort to the skin due to repeated friction at the seam, and at the same time, it is also a waste of manpower and raw material costs. In order to address these issues present in existing sports underwear, during its design and development, combined with fully forming knitting technology, construction process model, so as to realize the integrated knitting of sports underwear. First of all, through the characteristics of the local style of sports underwear, the key points of its prototype were probed. Second, on this basis, its process model was established, including the forming methods and knitting rules of the body, shoulder collar, and bottom circumference. Finally, the feasibility of the technological model is proved by the braiding of a fully formed sports underwear. The change in the body size can be achieved by using the two-side braiding transfer method. The curve contour of the shoulder and neck can be obtained by using the triangular polyline segmentation method. The bottom part is divided into a cylinder part and a supporting part. The local braiding method is used to achieve the knitting. This study puts forward a process model and application method of fully formed sports underwear, which provides a certain method and reference for the design and production of fully formed sports underwear.

Abstract This study investigates the impact of 3D printed midsoles with biomimetic structures of varying densities on plantar pressure during static and dynamic motions. The midsoles were designed with three densities of Tyson polygon (TS) structures: 1TS, 2TS, and 3TS. Plantar pressure tests were conducted on midsoles during static and dynamic motions such as walking, running, and jumping. The data were analyzed based on hypotheses related to samples, motions, and 10 plantar pressure zones. As results, for static motion, all midsoles improved pressure distribution and reduced peak pressure compared to barefoot conditions, with 1TS being the most effective. During dynamic motions, 1TS and 2TS effectively distributed plantar pressure in the midfoot and heel areas, while 3TS provided better support and stability during high-intensity activities like jumping. Statistical analysis revealed that 1TS offered comfort and flexibility but lacked support, 2TS balanced support and cushioning, and 3TS provided superior support and stability but reduced elasticity during jumps. In dynamic motions, 1TS excelled in walking, and 2TS performed best in high-intensity activities such as running and jumping. In the meta areas (M2 and M3), 1TS reduced pressure by over 30% during walking and nearly 40% during running, while 3TS showed similar reductions during jumping, with BF showing higher pressures compared to running. Thus, this study highlights the effectiveness of 1TS and 2TS in reducing pressure in the meta and midfoot areas, emphasizing the importance of selecting the right midsole density for optimal comfort and performance across different activities.

Multifunctional composites and smart textiles are an important advancement in material science, offering a variety of capabilities that extend well beyond traditional structural functions. These advanced materials are poised to revolutionize applications across a wide range of industries, including aerospace, healthcare, military, and consumer electronics, by embedding functionalities such as structural health monitoring, signal transmission, power transfer, self-healing, and environmental sensing. This review, which draws on insights from various disciplines, including material science, engineering, and technology, explores the manufacturing techniques employed in creating multifunctional composites, focusing on modifying textiles to incorporate conductive fibers, sensors, and functional coatings. The various multifunctional capabilities that result from these modifications and manufacturing techniques are examined in detail, including structural health monitoring, power conduction, power transfer, wireless communication, power storage, energy harvesting, and data transfer. The outlook and potential for future developments are also surveyed, emphasizing the need for improved durability, scalability, and energy efficiency. Key challenges are identified, such as ensuring material compatibility, optimizing fabrication techniques, achieving reliable performance under diverse conditions, and modeling multifunctional systems. By addressing these challenges through ongoing research and further innovation, we can significantly enhance the performance and utility of systems, driving advancements in technology and improving quality of life.

Composites of textile fabrics and 3D-printed layers have been investigated thoroughly during the last decade. Usually, material extrusion such as the fused deposition modeling (FDM) technique is used to build such composites, revealing challenges in preparing form-locking connections between both materials due to the highly viscous polymer melt, which can hardly be pressed into textile fabrics. Resins used for 3D printing by vat photopolymerization, i.e., for stereolithography (SLA), are less viscous and can thus penetrate deeper into textile fabrics; however, fixing a textile on the printing bed that is fully dipped into the resin is more complicated. Here, we present one possible solution to easily fix textile fabrics for SLA printing with consumer printers according to the digital light processing (DLP) sub-method. Also, we show the results of a study of the mechanical properties of the resulting textile/polymer composites, as revealed by three-point bending tests.

This research developed shoe soles using a biodegradable and renewable composite made of King Oyster mushroom mycelium. An exploratory approach was used to develop biodegradable shoe prototypes using the mushroom mycelium composite as the midsoles. An online survey was conducted to evaluate the consumer acceptance of the shoe prototypes and a wear test with undergraduate college students was conducted to evaluate the consumer acceptance, wearability, and comfort of the shoe prototype. The survey results indicated that consumers liked the new sustainable footwear and were likely to purchase it. Indian consumers liked the new shoes more and would be more willing to purchase the new shoes than the U.S. consumers. The young age group would be more willing to buy this sustainable shoe prototype than the old age group. The consumers who were frequent consumers of sustainable products, willing to pay more for an environmentally friendly product, and cared about the environment were more likely to purchase this sustainable shoe prototype. The wear test with a small sample of four college students had split opinions on the comfort and wearability of the shoes. Still, all of them liked the concept of shoe materials and biodegradable shoes made from renewable materials.

Abstract Astronauts wear liquid perfused garments inside their outer spacesuits for regulating body temperature. The present study explored relationships between local heat production from the upper arm and body morphology while wearing liquid perfused sleeve. Heat extraction from the upper arm of 19 subjects (8 males and 11 females) during three different exercise modes (running at 6–8 km∙h−1, cycling at 40–55 W, and arm ergometer at 10–20 W) and rest has been investigated. The total body fat (27.5 ± 7.2%), body mass index (24.4 ± 2.7 kg·m−2), arm surface area (589 ± 90 cm2), and arm volume (1300 ± 300 mL) were considered as covariates. Subjects wore a liquid perfused sleeve over the upper arm (left) with the water inlet temperature of 24.0 ± 0.3 °C and the heat extraction was calculated using the water flow rate and temperature differences. Heat extraction from the upper arm showed no significant differences among the three exercises. During cycling, there was a negative relationship between heat extraction and total body fat (r = − 0.527, P

Abstract In order to optimize the design of three-dimensional tubular woven (3DTW), a design method and matrix model of 3DTW were proposed based on normal loom, where 3D woven was used as tube wall and the weaving method of tubular fabric was applied. Herein, 3D woven was used as the tube wall to obtain the face weave diagram, and the back weave diagram was subsequently obtained by the “negative flip” method. According to the method of layering weaving, the structure diagram of 3DTW could be determined. In order to obtain back weave matrix, the elements in the face weave matrix were replaced and reordered by MATLAB function, and Kronecker product operation was used to achieve the proportional embedding of the face and the back weave matrix and the assignment of the face warp by lifting point elements when weaving the back weft. Finally, the weave matrix of 3DTW was obtained. The proposed design method and matrix model can improve the design efficiency and reduce weaving cost of 3DTW, which could provide a reference for the design and preparation of 3DTW.

Abstract Recently, interest has surged in glove-type assistive devices for relieving hand muscle stiffness caused by brain lesions. This study aims to develop an ergonomic method for drafting glove patterns intended for hand-assistive devices. To facilitate pattern development, we acquired three-dimensional (3D) scan data from the four hemiplegic patients while their hands were in a relaxed posture, which was subsequently transformed into two-dimensional (2D) data. Based on the 3D shape data, we analyzed the finger joint range of motion (ROM) and change ratio of skin surface length resulting from flexion and extension movements of the paralyzed hand. Incisions were strategically applied to regions displaying significant variations in these parameters. These flattened 2D patterns were then integrated into revised pattern blocks to enhance the shading data related to the 3D shape, resulting in the development of four glove patterns. We found that gloves prototyped using this innovative pattern-drafting method did not impede joint ROM when worn. Changes in clothing pressure inside the glove at the joints corresponded to the bending angles of the fingers, and the pressure did not exceed the discomfort threshold during hand flexion and extension movements. Importantly, participants provided positive subjective feedback concerning the comfort of the gloves. Our findings yield fundamental data for developing a foundational glove design for hand-assisted devices for patients with paralysis, achieved through the utilization of this novel ergonomic glove pattern-drafting method.

Painted during the Yuan Dynasty, Taoist Celestial Beings Worshiping is a Taoist propaganda painting. It is one of the largest surviving ancient murals worldwide, featuring a variety of images of these beings dressed in costumes that vividly illustrate the blend of religious and artistic values in Chinese culture. To record and present the mural more intuitively and improve the study of Taoist Celestial Beings Worshiping, this article takes the example of five goddesses centered Queen Mother of the West in the mural and analyzes the styles, structures, colors, and patterns of the costumes from the perspective of costume engineering. Human models are established and the costumes at multiple levels are reconstruction by means of 3D virtual simulation technology. The display images are accompanied by QR codes, which can be scanned to view the 3D model. Finally, the Fuzzy Analytic Hierarchy Process was used to comprehensively evaluate the reconstruction effect of clothing, and the result was “good.” The resulting digital figure can realize the “revitalization of cultural relics” and provides a new perspective for the digital exhibition of murals, which is conducive to the development of digital tourism and promotes the development of traditional culture.

The advent of 3D printing (3DP) has garnered significant interest from both academia and industry due to its potential to revolutionize engineering, manufacturing, and through its utilization of advanced materials. Even though the application of 3D printing in footwear design and manufacture is quite appreciated, academic discourse on the subject relative to footwear design and manufacture is rather scarce compared to other fields such as pharmaceuticals, electronics and food. The purpose of this review is to explore the techniques, the application trends and the impact of 3D printing technology concerning footwear design and manufacture. Using relevant data from many relevant sources, this study uncovered that 3D printing has significantly impacted shoe design and manufacture by enhancing production efficiency, environmental sustainability, material innovation and Inter-Industry Collaborative Projects among others. Most of the major players in the footwear industry such as Nike, Adidas, Reebok and New Balance already have many footwear releases based on 3D printing. Also discussed are some specific areas in which 3D printing is being applied in footwear design and manufacture. These areas include but are not limited to the design of smart shoes, shoe lasts, complex shoe geometries, avant-garde concept shoes and so on. This study is of particular importance to stakeholders in the footwear research and design industry as it provides important information about the current trends as well as the impact of 3D printing technology on the sector.

Factors influencing the comfort and performance of knitted fabrics can be investigated to enhance the understanding and development of functional accessories. Issues related to the thermal regulation and moisture management of these materials are systematically explored in this research. Additionally, the effects of fibre type, yarn properties, fabric variables, and finishing methods are examined through the evaluation of physical properties relevant to the comfort of rib knit structures, particularly in sportswear design. 1x1 Rib knit 1structures were created using polyester spun, cotton spun, polyester filament, and viscose filament yarns with varying linear densities employing a KH-323N computerized flatbed knitting machine. Evaluations of physical properties, thermal characteristics, air permeability, antibacterial efficiency, and hydrophilic finish were conducted following ASTM standards and specific testing methods to thoroughly assess the quality and performance of the fabric. Significant insights into the physical and comfort properties of the fabrics were provided by the results. Varying thermal and air permeability characteristics were demonstrated by polyester-cotton and viscose-cotton fabrics. Thermal resistance and conductivity are influenced by filament denier, loop length, and knit structure, while these same factors affect air permeability. Air permeability is also impacted by finishing treatments, thereby highlighting the complex interplay between fabric properties and comfort. Advanced finishing techniques and novel fibre blends could be explored in future research to further optimize fabric comfort properties.

The commonly employed textile wet processing methods are singeing, de-sizing, scouring, bleaching, mercerising, dying, printing, and finishing. However, these methods are more time-consuming and require a lot of energy, manpower, and chemicals. Therefore, this research aims to develop a semi-continuous processing route that minimizes these problems. In this study, two dying routes were employed. The first is a control group, which was done by conventional mercerisation and dyeing procedures, whereas the second is a semi-continuous experimental group, which has been employed by mercerisation followed by wet-on-wet (WOW) reactive dying. That is, after mercerisation, the fabric, which contains the optimum alkali concentration, goes to dyeing without washing. Washing and titration were performed to determine the optimum alkaline concentration in the fabric at a specific washing cycle. Fabrics that were washed at different cycles after mercerisation were dyed, and their washing fastness, degree of dye exhaustion, fixation, and colour strength were evaluated, and they had a slightly greater colour strength than conventionally dyed fabrics. This is because with a wet-on-wet dyeing procedure, the fabric is relaxed after mercerisation, which allows it to absorb more dye, and the leftover alkali in the fabric is used to fix the dye to the cellulose. The study shows that the optimal washing cycle for passing the optimum alkali concentration is one. Furthermore, the optimal amount of alkali remaining in the fabrics is 3–3.5%. As compared to the conventional dyeing process, this process is economical.

Textiles are composed of different types of fibers; thus, different processes for end-of-life recovery are currently applied. After collection, a prior sorting process is essential to classify the textiles and assess their quality in order to ensure that the best available technology is selected, with mechanical recycling being the most widespread and mature. Nevertheless, it still has important limitations as it is not suitable for the treatment of all fibers, especially those of non-organic origin and blends. On the other hand, chemical recycling appears to be a necessary technology to valorize the fibers that cannot be reused or mechanically recycled and to avoid landfilling. This article aims to provide an overview of the available technologies in the field of textile waste recycling, including collection, pretreatment, and mechanical and chemical recycling processes. Each technology is described identifying pros and cons, and a techno-economical assessment is presented including technology readiness levels (TRLs), investments, and costs. European and Spanish regulations and policies on textile waste are analyzed to identify the trends and directions the sector is moving towards.

The increasing demand for environmental and sustainable materials has motivated efforts to fabricate biocomposites as alternatives to conventional synthetic fiber composites. However, biocomposite materials have some drawbacks such as poor mechanical resistance, fiber/matrix incompatibility, low thermal resistance and high moisture absorption. Extensive research has been conducted to address these challenges, in terms of the sustainable production, serviceability, reliability and properties of these novel biocomposites. Silk fibers have excellent biocompatibility and biodegradability along with moderate mechanical properties, while flax fibers have a high specific strength and modulus. The combination of the silk fiber with moderate modulus and stiffness with flax fibers with high specific strength and modulus allows the modulation of the properties of silk using the intra- and inter-hybridization of both fibers. In this study, silk and flax fibers are combined in different arrangements, totaling eight different composites; the quasi-static mechanical properties and dynamic mechanical thermal analysis are discussed, focusing on the structure versus relationship properties, with the aim of corroborating the freely available data from literature. The main findings indicated that the synergic effect of the flax fiber and silk fiber leads to a tailormade composite with a low cost and high performance.

The helmet shell material featuring a gradient in bending is urgently required for the next-generation integrated helmet system. However, achieving a bending gradient design for orthogonal woven composites on a 3D shell surface is a significant challenge. Here, nonorthogonal woven composites at 30°, 45°, and 60° were fabricated, and their bending properties are discussed. Furthermore, their bending properties are compared to those of plain off-axis woven composites, which indicates that the bending linearity trend of nonorthogonal woven composites is evident. Notably, the bending strength of the 30° and 60° nonorthogonal woven composites is 66.9 and 67.4% higher, respectively, than that of the plain off-axis woven composites, and the bending modulus is 169.8 and 196.9% higher, respectively. Finally, a finite element analysis of the bending properties of nonorthogonal woven composites was conducted, and a stress analysis of the inner layers was also conducted. This work paves the way for designing gradient materials for helmet shells.

Abstract The advancement in the internet and mobile technologies has substantially altered information diffusion in modern society, creating a diverse environment for generating and sharing various forms of information. Specifically, the emergence of new information sources, such as influencers and online communities, has significantly influenced the formation of consumer opinion. We highlight the changes that have occurred in the diffusion of fashion trend information. To do this, we conducted data mining, which involved three main steps: data preprocessing, specifically converting image data (including images from the 2022 F/W season runway collection, fashion influencer outfits, and best items from online fashion retailers) into textual data; data mining analysis (quantitative analysis); and data post-processing. As a result, we found that even items with low or no appearance on the runway held significance in the best item data or fashion influencer outfits. Specifically, the best items on online fashion retailers, reflecting popular fashion trends, had greater similarity to fashion influencer outfits. However, similarities in silhouette attributes were found among runway collections, fashion influencer outfits, and best items data. This study holds great significance because it focuses on fashion items genuinely consumed by the mainstream consumers rather than only focusing on the four major runway collections. Furthermore, these findings offer valuable insights for merchandising and trend forecasting, emphasizing the importance of selectively utilizing fashion trend information in the planning of fashion products.

Globally, the textile industry plays a significant role in production but faces many challenges that affect its operation and sustainability. Product quality remains an essential concern despite technological advancements and quality control measures. Raw materials, production methods, and skills differ, resulting in customer dissatisfaction and damage to reputation. A quality management strategy is necessary to overcome these problems and promote quality improvement. This includes the implementation of the Lean Six Sigma approach. This article focuses on improving textile quality by developing the Six Sigma DMAIC method. An analysis of three months' data from a textile company shows that an increase in the Outgoing Quality Level (OQL) from 3% to 6% resulted in significant economic losses, amounting to PKR-240,000 due to rework, residual costs, customer returns, and lost sales time. By utilizing Six Sigma tools, the company reduced OQL from 6% to 4%, thus lowering product losses and increasing operational efficiency. As a result of these findings, the textile industry can improve quality and profitability through a Lean Six Sigma approach.

Abstract Herein, we investigate the effects of 3D printed electrodes on electrophysiological signals and identify the important design elements required for manufacturing better electrodes for high body adhesion for smart wear. Ten electrodes of different shapes (plain, check, stripe, circular, radial cut-out) and thicknesses (0.5 mm and 1.0 mm) were manufactured. The electrodes were evaluated by testing on 20 healthy individuals (10 men and 10 women). To measure the electroencephalogram (EEG) of the participants, we used BIOS-S8 (BioBrain Inc., Korea), an 8-channel polygraph for multibody signal measurement. Data were analyzed using the SPSS 26.0 statistical program. The EEG values were significantly activated according to gender. For the male participants, relative alpha (RA), relative slow theta (RST), relative mid theta (RMT), and the ratio of SMR-mid beta to theta (RSMT) values were highly activated and for the female participants, RA, relative fast alpha (RFA), and relative slow theta (RSA) values were highly activated. There were no significant gendifferences in the EEG of both genders for the 10 types of electrodes. However, for the female participants, the ‘RA’ indices showed a significant difference based on electrode shape on the right temporal lobe (T4), but there was no significant difference based on the thickness. There was a significant difference in the subjective preference of the electrodes also. In the subjective evaluation, it was found that the differences based on the shape and thickness of the electrodes were sensitively recognized.

Abstract This study aimed to improve the flame retardancy and mechanical properties of bacterial cellulose (BC) by introducing cereal proteins, namely zein and gluten. The production conditions were determined by observing residual masses of samples at 1000 ℃ using thermogravimetric analysis (TGA). According to the TGA results, the optimized production conditions for the BCs with zein and gluten were combined solvent exchange and entrapment of 20 weight% (wt.%) of zein, and entrapment of 40 wt.% of gluten, respectively. Surface characterization of BC prepared with zein and gluten under the optimal conditions confirmed that the cereal proteins were incorporated into the BC nanostructures via solvent exchange and/or entrapment and the original chemical and crystal structures of BC were not significantly changed. Limiting oxygen index (LOI) analysis confirmed that cereal proteins improved the flame retardancy of BC. In particular, the LOI of BC entrapped with gluten was 50%, which was better than that of cowhide leather. Char morphology analysis confirmed that the as-produced BCs with cereal proteins exhibited condensed-phase flame-retardant mechanism by forming intumescent chars. Analysis of the mechanical properties confirmed that compared with cowhide leather, as-produced BCs with cereal proteins possessed high tensile strength and dimensional stability, making them suitable leather substitutes.

Electronic textiles (e-textiles) merge textiles and electronics to monitor physiological and environmental changes. Innovations in textile functionalities and diverse applications have propelled e-textiles’ popularity. However, challenges like connection with external devices for signal processing and reliable interconnections between flexible textiles and rigid electronic circuits persist. Wearable connectors enable the effective communication of e-textiles with external devices. Factors such as electrical functionality and mechanical durability along with textile compatibility are crucial for their performance. Merging the rigid connectors on the flexible textiles requires conductive and flexible interconnects that can bridge this gap between soft and hard components. This work focuses on designing two-part detachable mechanical snap connectors for e-textiles. The textile side connectors are attached to the data transmission cables within the textiles using three interconnection techniques—conductive epoxy, conductive stitches, and soldering. Three types of connectors were developed that require three detaching or unmating forces (low, medium, and high). All connectors were subjected to 5000 mating–unmating cycles to evaluate their mechanical durability and electrical performance. Connectors with low and medium unmating forces exhibited a stable performance, while those with high unmating forces failed due to wear and tear. Conductive stitches maintained better conductance as compared to conductive epoxy and soldering methods.

Due to the continuous optimization of cutting plans, the cotton scrap size resulting from the cutting of components for clothing production (post-industrial residues) is often considered insufficient to obtain fibres with the proper length to produce a new yarn through mechanical recycling processes; so it is important to search for other applications for these wastes. In this context, small pieces of cotton were submitted to a shredding process to obtain recycled fibres. Cotton small pieces and recycled fibres were then submitted to a refining process to achieve refined fibres. Using these materials alone and in blends with refined and unrefined bleached eucalyptus kraft pulp (BEKP), wet-laid nonwovens were developed and characterized. An analysis of the results revealed that the replacement of unrefined BEKP by 70% cotton waste fibres in wet-laid nonwovens, reducing the use of virgin raw material, enhances the structures’ mechanical properties by 80% and 14%, for small pieces or recycled fibres, respectively. Additionally, refining small pieces of cotton seems to be more promising than refining recycled fibres, because less steps are required to obtain wet-laid nonwovens with better mechanical properties. These results highlight the potential of this approach to be explored further for different products and end applications.

The Turkish textile and clothing (TTC) industries, which are mainly made of small and medium enterprises (SMEs), are the main source of export for the Turkish economy since the end of 1980s. The introduction of digital technologies has changed the competition for the TTC industries and this change has been accelerated after the covid-19 pandemic. Digitalization of SMEs is accepted as a social and technical process in which organizational learning is the main actor and therefore, the aim of this research is to explore the relation between organizational learning, digitalization, and internationalization for TTC industries. A parallel-results convergent mixed method approach in which qualitative and quantitave analysis are performed seperately and integrated later is applied in this research. The data of the research were collected by semi-structured interviews and survey questionnaires, which are analyzed in MAXQDA and analysis of moment structures.

Abstract To realize the three-dimensional structure simulation and dress simulation of the fully-fashioned knitted skirt, based on the study of the structural characteristics of the fully-fashioned knitted skirt, the mathematical model of the knitted skirt pattern, the loop geometry mathematical model and the loop mesh model were established by the method of mathematical modelling. The spatial transformation relationship of each pair of triangles in the plate model and the three-dimensional surface model was calculated by using the spatial matrix. To draw a loop on the surface model's triangular patch, spatial transformation was used to calculate the grid point positions and obtain three-dimensional coordinates of the loop-type value points. Based on C# programming language, the human body model in the database was matched with the knitted skirt surface model, and the three-dimensional graphics library Open-GL and loop drawing method were used to realize the simulation of the knitted skirt dress based on the loop structure. The simulation method was tested by the dressing effects of hip skirts and umbrella skirts with different postures. The results showed that the spatial transformation could realize the fast transformation and calculate the coordinates of the loop-type value points. The C# programming language and Open-GL technologies realized the visual simulation of the fully-fashioned knitted skirt and the multi-pose dressing simulation based on the loop structure.

Based on the current process of clothing design and development, as well as research and analysis of domestic and foreign literature, this article guides the current digitalization status of the front-end and back-end of the clothing industry and proposes the research problem of this topic. Through clothing design modeling (physical model and design of fabrics, collision detection analysis between human body and fabrics, clothing fabric rendering, and flexible 3D clothing simulation model) and dynamic virtual display of clothing, an effective method to solve the problem is constructed. It has been found that during the design phase, the real effect of clothing fabrics can be realistically restored, and the development speed can be improved, reducing labor costs. At the same time, dynamic simulation display can be used to solve the cost waste problem of sample materials. It can also improve the product selection rate and design level, and solve cost and time problems at the source.

The article presents a procedure for assessing and selecting the shape of the ring spinner spindle head that is optimum for yarn manufacturing using the balloonless system, considering multiple criteria. This procedure consists of two stages: the Pareto-optimal method and the distance function method. Twelve spindle head variants were designed and manufactured of 100Cr6 bearing steel composed of C (0.93–1.05%), Si (0.15–0.35%), Mn (0.25–0.45%) along with aluminium alloys EN AW-6060 (AlSi1MgMn) containing Si (0.70–1.3%), Mg (0.6–1.2%), Mn (0.4–1.0%) and EN AW-6060 (AlMgSi) containing Si (0.30–0.60%) and Mg (0.35–0.60%). The shapes of the heads were developed on the basis of the design solutions used previously by the leading ring-spinning machine and spinning spindle manufacturers. Four design variants of spindle heads, made of AlMgSi wrought aluminium alloy, have a unique shape that enables shaping their teeth (notches) by extrusion on a hydraulic press. The assessment criteria were production cost per unit, head weight, maximum surface hardness HV0.1, and four yarn technological quality criteria: maximum yarn tension values during the formation of the base, body and head of the package, and the tension amplitude. The assessment values for the criteria obtained through calculations and measurements were normalized. Then, a set of Pareto-optimal solutions was determined using seven criteria. Due to the fact that this set consisted of six variants, the distance function was used to select the best one. The best design variant of the head is the one corresponding to the lowest distance function value. In our case, the variant is a unique shape, made of AlMgSi alloy, with teeth thickened on the outer diameter of the head, ensuring the lowest yarn tension value at the height during the formation of the package.

The article aims to identify the effect of body postures and air ventilation rates on the volume and thickness of the air gap under air ventilation garments (AVGs). The geometric models of the human body and clothing were obtained by using a 3D body scanner. Then the distribution of air gap volume and thickness for five postures (standing, arm flatting, arm lifting, sitting, and trunk bending) and three air ventilation rates (0L/S, 12L/S, 20L/S) were calculated by Geomagic software. The results showed that both body postures and air ventilation rates significantly influenced the air gap entrapped. Among the five postures selected, the air gap thickness (AGT) in the arm lifting posture is always in a thicker state, and when the air ventilation rate reaches high speed (20L/S), the maximum AGT in the chest is 0.086 m, and the maximum AGT in the waist is 0.092 m. This research provides an improved comprehension of the distribution of air gap entrapped in AVGs.

Disperse dyes, primarily used for dyeing synthetic fibres like polyester, are characterized by their poor solubility in water, which necessitates the use of dispersing agents; however, environmental concerns arise due to their low biodegradability and potential toxicity, thus posing significant challenges in waste management and pollution control. This study explores the dyeing performance of knitted polyester with dispersed dyes, employing natural auxiliaries as substitutes for conventional commercial chemicals to promote an environmentally friendly approach. Citric acid (derived from lemon), sodium citrate (prepared from citric acid and sodium bicarbonate), and glucose (extracted from date fruits) replace commercial acetic acid, dispersing agent, and hydrolyze. Dyeing is conducted using the high-temperature and high-pressure methods with consistent parameters. A comparative study of the dyeing performance of the natural auxiliaries with the existing commercial chemicals was assessed concerning colour strength, different fastness properties, and the FT-IR diagram. Proton NMR is utilized for the structural determination of date fruit and lemon components. UV-Vis spectral data show that adding sodium citrate to the dispersed dye solution drops the absorbance value from 1.1457 to 0.58916, confirming sodium citrate's efficacy as a dispersing agent. With lower recipe costs, the environmentally friendly approach using natural auxiliaries exhibits comparable dyeing performance and excellent fastness properties, providing a sustainable alternative to traditional methods.

Abstract Smart technology has become an increasingly prominent feature in the fashion apparel industry. However, small retailers still face challenges while trying to adopt such innovative smart technologies to increase consumer interaction and sales. By applying the Technology, Organization, and Environment (TOE) framework, the aim of this study is to understand small independent fashion retail owners’ and employees’ thoughts on innovative retail technologies and their reactions to the currently available new technology. A qualitative research method of in-depth interviews with 11 participants working in fashion companies was used. The themes that emerged in this study represent criteria to be met prior to adopting new technology for small fashion retailers, including transparency, consistency, and integration of technology. While there were concerns regarding the cost and timing of adopting smart technology, they all expressed unanimous agreement that these advancements would become the next major trend in fashion retail, enhancing consumer connectivity. In particular, the smart technology they plan to adopt must possess the capability for reciprocity between consumers and the company. This will motivate a resurgence of innovative technologies in the less advanced fragment of small independent fashion retailers. Future research can focus on analyzing how the implementation of new smart technologies affects these types of businesses and their customer satisfaction.

The investigation of novel strategies to combat harmful bacteria is warranted given the serious threat that antimicrobial resistance poses to world health. Out of all of these, treating textile materials with antimicrobial compounds has attracted a lot of attention due to its potential to stop the spread of infectious diseases. The goal of this study was to evaluate how silk and lyocell materials' inherent antibacterial qualities might be improved by giloy dyeing and lemon mordanting. The goal of mordanting was to improve dye adhesion by using only natural ingredients such as citrus lemon extract. Using dye from Azadirachta indica, which was made by aqueous boiling, Lyocell and Silk materials were dyed under various circumstances. Following Giloy dyeing and Lemon mordanting, the antibacterial efficiency significantly improved, notably against common infections like Klebsiella pneumoniae and Staphylococcus aureus, according to the results. Furthermore, the study assessed washing and perspiration fastness capabilities, which yielded positive results and confirmed the method's feasibility. This method has the potential to considerably improve infection control measures in textiles, particularly in fields focused on public health and cleanliness. Given the serious issue of antimicrobial resistance, adopting new textile treatments like this can help to build effective and sustainable solutions. Future studies can investigate further uses and adjustments, assuring its adaptability and wider adoption across many environments.