Abstract: The sustainability of technical textiles has gained considerable attention owing to the rising demand for eco-friendly materials and resource-efficient production methods. This paper explores innovative techniques to enhance sustainability in technical textiles by integrating biodegradable materials, optimizing production processes, and minimizing environmental impacts. It provides an extensive summary of developments in sustainable fibers, recycling technologies, and energy-efficient production methods. The results emphasize effective strategies for minimizing the carbon footprint of technical fabrics without compromising their performance and durability. The study provides a framework for adopting environmentally friendly practices in the technical textile sector, facilitating the development of more sustainable production and consumption models.

Abstract: Biotextronics is a new field of knowledge that may help in treatment of lower uri-nary tract inflammations. Such solution is a mobility form of a steam baths and it was called BioTexPants. It is an underwear with a biotextronics 4-layer insert with applied essential oil with antibacterial and anti-inflammatory activity. It has many advantages, e.g. ensures mobility while using, it is easy to use and contains natural materials. Bio-TexPants was designed and created to be controlled via an app by the user, however the doctor can have access to monitor the therapy and its frequency. It is possible to use indi-vidual functions in the application tabs: calendar, history, and online preview of work. The antibacterial activity of designed insert was proved in previous research.

Abstract: The textile dyeing industry is a crucial sector in global manufacturing, but it is also one of the most resource-intensive, consuming significant amounts of water, energy, and chemicals. This research paper presents an experimental evaluation of various dyeing techniques aimed at improving efficiency while minimizing environmental impact. Laboratory tests were conducted on low-liquor ratio dyeing, ultrasonic and plasma-assisted dyeing, enzymatic treatments, and digital printing. The study compares these techniques based on dye uptake, water and energy consumption, and environmental impact. The findings suggest that advanced dyeing technologies significantly reduce resource usage while maintaining fabric quality. The paper concludes by recommending sustainable practices and future directions for enhancing dyeing efficiency.

Abstract: In this study, supercritical carbon dioxide (scCO₂) was evaluated as a sustainable medium for cotton yarn sizing and desizing, eliminating the need for water and organic solvents. Cellulose acetate was applied as the sizing agent, with acetone serving as a co-solvent, achieving a 10 % add-on comparable to conventional starch-sized yarns. Trials con-ducted at pressures of 15–20 MPa and temperatures of 40–60 °C demonstrated uniform size deposition and effi-cient removal during desizing, as confirmed by weight-gain distribution and friction testing. Mechanical characteri-zation revealed that scCO₂-sized yarns exhibited tensile strength and break elongation comparable to industry standards. The process also enabled near-complete recovery and reuse of acetone and CO₂, significantly reducing effluent generation and solvent consumption. These findings establish scCO₂-based sizing as a viable, eco-friendly alternative for the textile industry, offering both performance parity and enhanced sustainability.

Abstract: Short‑time (0 < t < 20s) heat transfer between human skin and textiles is critical to thermal perception, yet classical models predicting a √t surface‑temperature rise often fail to capture measured behaviour during the first seconds after contact. This study investigates the early‑time transient response of a fingertip in contact with various woven and knitted fabrics under a constant heat‑flux step. Experiments were conducted in controlled environmental conditions using a fine‑gauge thermocouple at the skin–fabric interface, with temperature recorded for 0–20 s. Laplace‑domain analysis of the data revealed early‑time power‑law exponents significantly lower than 0.5 on some fabrics, mainly corresponding to t1/6 and sometimes to t1/4 and t1/10 behaviours in the time domain. Heat conduction model was applied to interpret these deviations, introducing two characteristic times: τq for heat flux and τT for temperature gradient. The dimensionless ratio Z = τT / τq emerged as the governing parameter controlling the slope of the Laplace‑domain response. Model curves with realistic Z values reproduced the experimentally observed exponents without requiring additional empirical terms. The findings indicate that short‑time thermal response is sensitive to textile structure, including thickness and porosity, and can be tuned via material design. This approach provides a quantitative link between fabric properties and perceived warm–cool feel, offering a framework for designing textiles with targeted thermal comfort characteristics.

Abstract: Classification is a crucial task for reintroducing end-of-life fabrics as raw materials in a circular process, thus reducing reliance on dyeing processes. In this context, this review explores the evolution of automated and semi-automated colour classification methods, emphasizing the transition from deterministic techniques to advanced methods, with a focus on machine learning, deep learning, and particularly Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs). These technologies show potential for improving accuracy and efficiency. The results highlight the need for enriched datasets, deeper AI integration into industrial processes, and alignment with circular economy objectives to enhance sustainability without compromising industrial performance. Tested against a case study, the different architectures proved to be effective in classification with better performance reached by CNN-based methods, which consistently outperforms other methods in most colour families, with an average accuracy of 86.1%, indicating its robustness and adaptability for this task.

Abstract: The concern about environmental sustainability has gained global reach and focus in recent times, and with such focus, the textile industry has recently been espoused as a problem area. The aim of this study is to utilize neem extract (Azadirachta indica) on textiles as a natural dye and deodorizer, possessing sweat-resistant antimicrobial qualities. Neem is reported to exhibit strong antibacterial activity which can mitigate the population of body-odor-causing bacteria in textiles. The present research focuses on utilizing neem extract for the coloration of cotton and polyester fabrics and its antibacterial properties. We conducted color fastness, retentions, and antimicrobial tests against Staphylococcus aureus and Escherichia coli on neem-treated fabrics. The results obtained from the study suggest that neem extract can be utilized as a natural dye, while at the same time having high bacterial adhesive properties hence foul smells in the fabrics are minimized. This remarkable dual functionality enables neem extract to effectively replace synthetic colorants and treatments, which helps in making the textile manufacturing processes more environmentally friendly. In the end, this study illustrates the possibilities of utilizing neem extract in improving the performance of garments while making them more eco-friendly.

Abstract: This study presents a comparative investigation of the mechanical performance of epoxy-based composites reinforced with ±45° multiaxial non-crimp fabrics (NCFs) made from natural flax fibers and conventional glass fibers. Flax fibers, despite their attractive sustainability profile and favorable specific mechanical properties, are typically processed into twisted yarns for textile reinforcement, which compromises fiber alignment and reduces composite performance. A novel yarn-free flax NCF was developed using false twist stabilization of aligned slivers to eliminate the negative effects of yarn twist. Composite laminates were manufactured via vacuum-assisted resin infusion (VARI) and tested for tensile, compressive and flexural behavior. The results show that, although glass fiber composites exhibit superior absolute strength and stiffness, flax-based NCF composites offer competitive specific properties and benefit significantly from improved fiber alignment compared to yarn-based variants. This work provides a systematic comparison under standardized conditions and confirms the mechanical feasibility of flax NCFs for semi-structural lightweight applications.

Abstract: The textile industry is one of the largest polluters in the world, with textile dyeing and fin-ishing being particularly harmful to the environment. Major concerns include the use of toxic chemicals and the large volumes of water required to add colour to fabrics. This has led to increasing demand for sustainable and eco-friendly methods of dyeing and printing textiles using natural dyes and processes. This study aims to explore the use of natural dyes extracted from red rose petals, eucalyptus leaves, and yellow onion skins to print on cotton, polyamide, and silk fabrics. Two different techniques were applied to achieve suc-cessful botanical prints, employing conventional mordants: copper sulphate and iron ox-ide. The printed samples were evaluated for colour fastness to washing and dry rubbing. Both botanical printing techniques proved to be suitable for eco-friendly applications. Fabrics printed with onion skin dye demonstrated the best results in terms of washing fastness and aesthetic quality. Polyamide samples exhibited the highest colour intensity with all the natural dyes used. While the mordants had no significant effect on fastness properties, they enhanced colour yield on cotton and silk fabrics.

Abstract: Smart textiles are also referred to as electronic textiles or e-textiles, which have emerged as any enabling technology dealing with active electronic elements integrated into conventional textile materials in several industries. This review article describes recent development about smart textiles toward their materials, applications, and challenges with respect to their development. Further synthesis of the findings from different research papers has established that smart textiles have huge potentials with regard to use cases in healthcare, sports, fashion, and environmental monitoring. It concludes by pointing out the likely future direction of research and development in this ever-changing field.

Abstract: Bangladesh has been an important part of the Ready-Made Garment industry since 1978. The ready-made Garment (RMG) industry in Bangladesh has emerged as a cornerstone of the nation's economy, contributing significantly to employment, exports, and industrial growth. This thesis embarks on a comprehensive exploration of the intricate landscape of Bangladesh's RMG sector, elucidating the array of opportunities and challenges it encounters in the global trade arena. Through a meticulous examination of market trends, trade policies, and economic dynamics, this research delineates the evolving opportunities within the global garment market, highlighting avenues for Bangladesh to enhance its competitiveness and expand its market share. Furthermore, the thesis delves into the challenges besetting the RMG sector, including labor rights issues, environmental sustainability concerns, and supply chain vulnerabilities, among others. Drawing upon empirical evidence, case studies, and theoretical frameworks, this study provides a nuanced understanding of the factors shaping Bangladesh's RMG industry. It endeavors to offer actionable insights for policymakers, industry practitioners, and academia, aiming to inform strategic decision-making and foster sustainable development in Bangladesh's RMG sector. By navigating the intricate interplay of opportunities and challenges, this research aspires to contribute to the resilience and prosperity of Bangladesh's garment trade in the global arena. However, the report mentions many problems that could stop the country from growing, like not enough skilled workers, bad roads and buildings, running out of energy, banks charging too much interest, taxes being too high, rules being too hard to follow, people protesting against the government, not enough different things to buy and sell, pressure to follow rules from other countries, and not working well with others.

Abstract: The textile industry continually seeks environmentally friendly and sustainable practices to reduce its ecological footprint. This study investigates the effects of enzymatic wash treatments on denim fabric using both conventional and sustainable machine processes. Enzymes, known for their eco-friendly characteristics, are employed to enhance the aesthetic appeal of denim while minimizing the environmental impact associated with traditional finishing methods. The research involves the application of various enzymes, including Enzymatic DM8639B, Enzymatic DM8642, on denim fabric. Conventional washing machines, commonly used in the textile industry, are compared with innovative sustainable machines designed to optimize water and energy consumption. The study assesses the effectiveness of enzymatic treatments in terms of Washing, Rubbing, and Saliva, Tensile Strength, crucial factors influencing denim quality. Additionally, the environmental impact of both processes is analyzed, considering water usage, energy consumption, and chemical waste generation. Sustainability metrics such as carbon footprint and water footprint are employed to evaluate the eco-friendliness of each method. The findings aim to provide insights into the feasibility of integrating sustainable machine processes into denim production, offering a potential avenue for reducing the environmental impact of garment finishing. This research contributes to the ongoing efforts to develop sustainable practices within the textile industry, aligning with global initiatives for a more environmentally conscious and responsible approach to manufacturing.

Abstract: The textile sector is experiencing revolutionary change towards sustainability, resulting from environmental concerns and the desire for eco-friendly products by consumers. Sustainable finishing techniques better textile functionality without doing a lot of damage to the environment, proving to add value in regards to superior performance, durability, and market appeal. Six important finishing methods for achieving sustainability are discussed in this article, which include anti-microbial finishes using natural ingredients, plasma treatment technology, nanotechnology, bioprocessing using enzymes, ultraviolet (UV) radiation technology, and ultrasound-based finishing. Each of the techniques is appraised in terms of value addition, environmental impact, and feasibility in the textile industry in the text.

Abstract: The Ready-Made Garments (RMG) industry in Bangladesh stands as the backbone of the national economy due to its strong GDP contribution and its workforce of more than 4 million workers. Competitiveness abroad of Bangladesh's RMG sector faces threats from quality control inconsistencies and supply chain inefficiencies, and high defect rates. The investigation shows how Artificial Intelligence (AI) and Internet of Things (IoT) can revolutionize quality assurance (QA) administration in Bangladesh’s Ready-Made Garments (RMG) sector. Through AI-based analytics and IoT real-time network systems, manufacturers can boost operational efficiencies and reduce production errors, and foster environmental sustainability. This article uses literature review methods together with case studies and analysis of existing implementations to show strategic recommendations and opportunities, along with challenges for implementing these technologies in Bangladesh's RMG industry.

Abstract: As part of an implementation in the Peruvian textile industry, the use of different sources to obtain blue hues in Alpaca fiber has taken on a prominent role. The present study investigated the optimization of the dyeing process of Alpaca fibers using indigo carmine as dye. The methodology was based on a Central Composite Design (CCD) and The Response Surface Methodology (RSM) and color strength (K/S) as a response variable. The results demonstrate that the independent variables significantly affected the color strength (K/S). In this context, higher increase in both mordant concentration (3.9887 g/L) and dyeing temperature (95 °C), coupled with lower exhaust time (30.0019 min), enhances higher levels of superficial dye adsorption. Additionally, color fastness properties provided tolerable values according to the gray scale. In conclusion, the optimization of the dyeing process of Alpaca fibers using indigo carmine enabled the achievement of a blue shade with satisfactory fastness properties in the fiber yarns.

Abstract: To address the problems of limited basic tissue loops and insufficient control of floating-length threads in WCAD and other programs, the YWCAD system for fabric tissue design was developed by adopting the directional and non-directional dual-path generating mechanism of yarn, the multi-structural generating mode of tissues, and the algorithm of preferential selection of floating-length threads. The directional mode of yarn generates the target yarn based on the fractional structure, and the non-directional mode randomly combines the decomposition conditions through the algorithm to realize the exponential expansion of yarn morphology; the weave generates and builds the single/multi-structure dual mode, with the single structure supporting the manual or random setting of the number of flights, and the multi-structure integrating the three elements of yarn selection, alignment ratio and number of flights to break through the technological bottleneck of the poor diversity of the weave; and at the same time, it introduces three-fold optimization of the maximal floating length, the average floating length and the uniformity of the distribution of the weave points. Simultaneously, the maximum floating length, average floating length, and uniformity of tissue point distribution are introduced as triple optimization indexes, and the intelligent screening algorithm solves production problems such as fabric arching and uneven tension. Experiments show that this system significantly improves fabric tissue diversity while guaranteeing the rationality of the process, and provides a new intelligent solution for the digital generation of fabric tissue.

Abstract: This research presents a comprehensive experimental investigation into the incorporation of recycled denim fibers into concrete as a sustainable reinforcement alternative. With the fashion industry generating substantial volumes of denim waste annually, particularly from post-consumer garments, the need for eco-conscious reuse strategies has become critical. Recycled denim fibers, rich in cellulose and blended synthetics, offer tensile properties that may enhance concrete’s mechanical behavior. Concrete mixes were prepared with incremental fiber dosages (0%, 0.5%, 1.0%, and 1.5% by weight of cement) and tested for workability, compressive strength, flexural strength, and durability through a battery of standardized tests. The findings indicate that denim fiber reinforcement improves the flexural strength and crack resistance of concrete, especially at 1.0% fiber content, with acceptable compromises in workability. This approach supports circular economy goals and presents a novel route for textile waste valorization in construction.

Abstract: This study evaluates the ballistic performance of composites reinforced with aramid fibers, focusing on the comparison between artisanal twill-structured fabrics (SKRC) and commercial plain-weave fabrics (TLRC). The composites were manufactured using a compression molding technique and subjected to ballistics tests with expansive hollow-point bullets, based NIJ 0108.01 standard. Key parameters analyzed included projectile deformation, delamination behavior, and the coverage factor of the fabrics. The SKRC composite exhibited superior ballistic performance, attributed to its higher coverage factor and enhanced interaction with primary yarns, resulting in greater energy absorption and bullet deformation. Conversely, the TLRC composite demonstrated limited resistance, with reduced delamination and inefficiency in dissipating kinetic energy. MO revealed distinct deformation profiles of the projectiles and delamination zones, correlating these behaviors with the reinforcement structure's mechanical response. These findings highlight the potential of artisanal twill-structured fabrics for ballistic applications, emphasizing the importance of reinforcement content and fabric architecture in improving composite performance. This study contributes to the advancement of terminal ballistics and the development of lightweight, high-performance materials for protective equipment. Future research should explore optimization of stacking sequences and reinforcement content to further enhance ballistic protection.

Abstract: Extensive research into sophisticated surface modification techniques has been prompted by the growing demand for high-performance fabrics with improved mechanical, thermal, and interfacial qualities. This study examines how novel techniques, such as chemical vapor deposition (CVD) and cold plasma treatment, affect the structural and functional properties of textile materials, especially blends of cotton and nylon. The study looks at how different treatments affect the fabric's tensile strength, adhesion, durability, elongation, and resistance to environmental influences. Significant gains in surface energy, fiber-matrix bonding, and overall performance are shown by comparing untreated and treated samples. The improved mechanical integrity and functional adaptability of the changed fabrics are confirmed by experimental results from surface roughness measures, scanning electron microscopy (SEM), and tensile testing. The study's conclusions provide fresh perspectives on how to best utilize textile materials for high-performance uses in sectors like technical textiles, sportswear, and protective apparel.

Abstract: Combining several fibers enhances the strength, elongation, and homogeneity of yarn. This study investigates how yarn performance is affected by the blending of cotton (CO) with nylon (PA). In yarn constructions that were stiff, core-spun, and dual-core-spun, different blend ratios were evaluated. According to the findings, adding more nylon increases the yarn's strength, elongation, and durability while decreasing its unevenness and flaws. Greater elongation and flexibility were demonstrated by core and dual-core-spun yarns, which made them perfect for high-performance uses including industrial textiles and sportswear.