Yarn Samples Research Articles

Investigation of effect of recycled polyester ratio and draw frame passages on flame retardancy of chenille fabric properties

PurposeIn this study, both flame retardancy and sustainability properties were combined in the chenille yarn so that functional and sustainable upholstery fabrics can be produced with optimum energy consumption. The chenille yarn samples were produced from recycled polyester (rPET)-blended binder yarns and fully drawn yarn (FDY) polyester pile yarn. While the pile component of the chenille samples was kept constant, the lock yarns were manufactured as 50% r-PET-50% virgin polyester (PES), 100% r-PET and 100% PES. The binder yarns were also produced in two groups. In the first group, a 2-passage draw frame was used, while a 3-passage draw frame was used in the second group. The chenille yarn samples were applied flame-retardant (FR) finishing.Design/methodology/approachThe knitted upholstery fabric samples were produced from chenille yarn samples via flat knitting machines. The knitted fabrics were applied flame retardancy, bursting strength and abrasion resistance tests according to related standards.FindingsThe test results were analysed, and so the effect of r-PET ratio and draw frame passage number on upholstery fabric flame retardancy, bursting strength and abrasion resistance performance properties were revealed. It was concluded that the number of draw frame passages and the recycled fibre content have no important effect on the flame retardancy. On the other hand, it has been observed that the bursting strength decreases as the recycled fibre content increases and bursting distention results are close to each other. It was seen that the draw frame passage number has no significant effect on both bursting strength and distention. It was revealed that both r-PET fibre content and draw frame passage number have significant effect on abrasion resistance. The samples with 2 draw frame passages provide higher abrasion resistance compared to those with 3 draw frame passage. The lowest abrasion resistance was obtained with 100% r-PET fibre content and the highest abrasion resistance was obtained with 50% r-PET-50% PES.Originality/valueThe results will provide enough knowledge for sustainable chenille yarn design. The recycled fibre content and draw frame passage number can be optimised, and so sustainable chenille yarns can be produced with less energy consumption. Future studies will involve producing chenille yarns with different linear densities and varying draw frame combinations, such as 1, 2 and 3 passages.

Imbalanced segmentation for abnormal cotton fiber based on GAN and multiscale residual U-Net

The scale of white foreign fibers in bobbin yarn is small, resulting in multiple types of data imbalance in the dataset. These imbalances include a severe imbalance of foreign fiber pixels compared to background pixels and an imbalance in the size target scale. Consequently, conventional semantic segmentation networks struggle to segment these fibers effectively. First, in tackling the scarcity of white foreign fiber instances within bobbin yarn samples, this research utilizes original foreign fiber images to train the DCGAN and generate adequate training samples. Secondly, a multiscale residual U-Net is constructed to extract foreign fiber features from different scales. The network is encouraged to learn semantic features at each scale and each layer of the decoding stage. This overcomes the problem of scale imbalance in the foreign fiber dataset and enhances the model's capability to extract weak semantic information from small targets. Thirdly, a weighted binary cross-entropy loss function is integrated into the network's training phase to rectify the class imbalance and refine segmentation performance. This function adjusts the weighting of foreign fiber pixel data, thereby addressing the disproportionate distribution between foreign fibers and background pixels within the dataset. Finally, the proposed method is experimentally validated using a dataset of white foreign fibers. The experimental results show that the proposed method achieves better results in the critical evaluation metrics, as evidenced by the accuracy of 97.52 %, the MIoU of 95.26 %, the DICE coefficient of 81.29 %, and the F1 Score of 84.92 %. These statistics demonstrate the method's efficacy in achieving high-precision segmentation of white foreign fibers.

Opportunities to reduce environmental burden by recycling fabric waste in a woollen fabric company

PurposeWool fiber is accepted as one of the natural and renewable sources and has been used in the apparel and textile industry since ancient times. However, wool fiber has the highest global warming potential value among conventional fibres due to its high land use and high methane gas generation. This study aimed to recycle the wool fabric wastes and also to create a mini eco-collection by using the produced yarns.Design/methodology/approachThis manuscript aimed to evaluate the fabric wastes of a woolen fabric producer company. Fabric wastes were opened with two different opening systems and fiber properties were determined. First, conventional ring yarns were produced in the company’s own spinning mill by mixing the opened fibres with the long fiber wastes of the company. In addition, opening wastes were mixed with different fibres (polyester, long wool waste, and Tencel fibres) between 25% and 70% in the short-staple yarn spinning mill and used in the production of conventional ring and OE-rotor yarns. Most of the yarns contained waste fibres at 50%. Recycled and virgin yarns were used as a weft and warp yarn and a total of 270 woven fabric samples were obtained and fabric properties were examined. Also, a fabric collection was created. A life cycle assessment (LCA) was made for one of the selected yarns.FindingsAt the end of the study, it was determined that it was possible to produce yarn and fabric samples from fiber blends containing high waste fiber ratios beyond 50%. All the woven fabric samples produced from conventional ring and OE-rotor yarns gave higher breaking, tearing and stitch slip strength values in the weft and warp direction than limit quality values of the company. In addition, abrasion resistance and WIRA steam stability properties of the fabric samples were also sufficient. Environmental analysis of the recycling of the wastes showed a possible decrease of about 9940034.3 kg CO2e per year in the global warming potential. In addition, fiber raw material expenses reduced yarn production cost about 50% in case of opened fabric waste usage. However, due to insufficient pilling resistance results, it was decided to evaluate the woven fabrics for the product groups such as shawls and blankets, where pilling resistance is less sought.Originality/valueThe original aspects of the article can be summarized under two headings. First, there are limited studies on the evaluation of wool wastes compared to cotton and polyester fibres and the number of samples examined was limited. However, this study was quite comprehensive in terms of opening type (rag and tearing), spinning systems (long and short spinning processes), fiber blends (waste 100% and blends with polyester, long wool waste and Tencel fibres) and yarn counts (coarser and finer). Recycled and virgin yarns were used as a weft and warp yarn and a total of 270 woven fabric samples were obtained using different colour combinations and weave types. All processes from fabric waste to product production were followed and evaluated. Life cycle assessment (LCA) and cost analysis was also done. The second unique aspect is that the problem of a real wool company was handled by taking the waste of the woolen company and a collection was created for the customer group of the company. Production was made under real production conditions. Therefore, this study will provide important findings to the research field about recycling, sustainability etc.

Investigating the impact of fiber and yarn structure on yarn tensile properties: A computational approach with artificial neural networks

The properties of yarns strongly depend on the fibers and spinning techniques used to manufacture them. It is imperative to investigate the influence of diverse fibers and yarn structures on the tensile properties of the yarns. Simultaneously, it is equally important to forecast these properties to mitigate costs, reduce waste, prevent faults, and achieve the desired performance in the final products. This study used three different fibers, namely conventional polyester, coolmax, and thermolite, and four different spinning techniques, namely conventional ring, compact, siro, and siro-compact spinning, to develop ring-spun yarns. The effect of fiber and spinning technique was investigated on lea strength (usually taken as count of yarn × lea strength (CLSP)), single yarn strength, and breaking elongation of the developed yarns. An artificial neural network model (ANN) was designed to predict the properties of the yarns using varying fiber types and spinning techniques. The yarns made of conventional polyester fibers resulted in the highest strength of the yarns, whereas coolmax fibers imparted maximum breaking elongation to the yarn compared with other fibers. Conventional ring spun yarns showed minimum strength, whereas siro yarns showed the highest strength among all the yarn samples. The ANN model predicted the CLSP, single yarn strength as well, and breaking elongation of the yarn with the highest accuracy as indicated by the R2-value, which suggests the model can be used reliably and accurately for the prediction of tensile properties of the yarns for different fibers and yarn structures.

Investigating Carded Yarn Quality through Cross-Doubling in the Draw frame: A Comprehensive Analysis

A carding machine's performance has an impact on the quality of the carded sliver, which in turn affects the quality of the carded yarn produced. Several factors can influence a machine's efficiency, resulting in fluctuations in the slivers generated over time. To achieve consistent and reproducible quality levels, slivers from all carding machines must be blended homogeneously. This blending process is vital for achieving homogeneity in the final product and maintaining a high quality standard. This can be achieved by cross-doubling. In this technique, carded slivers are arranged into categories of good, medium and low quality based on the nep removal efficiency of the carding machine behind the breaker draw frame. This is a specific type of doubling process. The focus of this research was the effectiveness of the aforementioned practice. Three carding machines were selected out of seven based on the quality level of the produced carded sliver, which was measured by nep removal efficiency. Yarn samples of 29.5 tex were produced from the slivers of the individual carding machines and by cross-doubling them at the breaker draw frame. Samples were collected at each stage of processing and tested. The results showed that cross-doubling significantly reduced variation in the imperfection level and yarn strength, but had very little effect on the mass variation level of the strands. Furthermore, the categorization of the four samples for selection was carried out using the Analytic Hierarchy Process method. This study will provide a guideline for new spinners to enhance yarn quality through cross-doubling on a draw frame machine.

Investigation of the fastness properties and color strength of dry and wet reeled Tasar silk yarns

Tasar silk is extremely sought-after due to its natural beauty, toughness, sustainability, and cultural significance. Despite the historical need for Tasar textiles in their natural hue, weavers have created a limited number of unique designs and variants of Tasar silk. Since the younger generation requires 100% Tasar fabric in a range of items with diverse patterns and color combinations, it has become more vital to dye the Tasar yarn a distinct color. The fastness characteristics and color strength of Acid, Reactive, and Lanaset dye on dry reeled and wet reeled Tasar silk yarns were compared in this paper. In order to assess the yarn samples' color intensity and resistance to rubbing, sweat, washing, and light, they were treated appropriately. The findings of the fastness test showed that, in comparison to other yarns, acid and reactively colored yarns had lower washing and sweat fastness, respectively. Better light fastness was seen in fibers colored with Lanaset. Comparing reactive dyeing to acid and Lanaset dyeing, the former demonstrated a stronger color.

Cellulose-Based Waste in a Close Loop as an Adsorbent for Removing Dyes from Textile Industry Wastewater

In an attempt to reuse fibrous textile waste and, at the same time, to address dye pollution in textile wastewater, waste cotton-based yarn was utilized as a cheap and sustainable adsorbent, as well as a row material for carbon adsorbent production. Unmodified yarn and cotton-based carbon adsorbents were used as adsorbents for dye removal from water. Cotton and cotton/polyester yarn samples underwent thermal modification through carbonization followed by chemical activation with KOH. Various techniques, including scanning electron microscopy, Fourier transform infrared spectroscopy, nitrogen adsorption–desorption isotherms, and surface charge determination, were employed to analyze the morphological and surface characteristics of the cotton-based adsorbents. Adsorption properties were evaluated by testing the removal of selected cationic and anionic dyes from water. The impact of temperature, initial pH and concentration of the dye solution, and contact time on adsorption were investigated, and experimentally obtained data were analyzed using theoretical models. While carbonization alone did not significantly enhance adsorption properties, activated samples exhibited high efficacy in removing both cationic and anionic dyes from water. Despite the negative influence of the polyester component in the carbon precursor on the efficiency of activated samples in removing methyl orange, the results indicated that activated cotton and cotton/polyester yarn could be used to prepare highly efficient adsorbents for the rapid removal of methylene blue from real wastewater samples.

Comparison of gas sensing performances in various yarn types coated with polyaniline

Polyaniline (PANI)-coated yarn samples were performed by dip coating method and characterized. Structural and morphological properties were investigated by FTIR and FESEM, respectively. Gas sensor applications of PANI-coated yarns were performed in a uniquely designed gas detection and control system. The usability of PANI-coated yarn samples as gas sensors was evaluated and the performances of different yarn types were compared. Conductivity changes of PANI-coated yarns exposed to CO and NH3\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$_3$$\\end{document} gases were measured and the effects of these changes on gas sensing capabilities were analyzed. In CO gas applications, the responses of PANI-coated yarn samples in 400 ppm, 600 ppm, and 800 ppm were examined and it was determined that the polyamide yarn sample exhibited a significant conductivity increase. In NH3\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$_3$$\\end{document} gas applications, the response times and recovery times of different yarn types in 400 ppm were evaluated and it was observed that cotton yarn sensors had high response times, though acrylic yarn sensors offered fast response times in general. The study demonstrates the potential of PANI-coated different yarn samples as gas sensors for wearable technology.

Dye Analysis of a 17th-Century Mattens Workshop Tapestry Based on Raphael’s Drawing, The Miraculous Draught of Fishes

This paper describes the identification of dyes on fifty yarn samples from a tapestry created by the well-known 17th-century Flemish workshop of the Mattens family. The design of the tapestry is based on the first of ten drawings known as the Acts of the Apostles by the famed 16th-century Italian painter Raphael. The drawings were commissioned by Pope Leo X and translated into tapestries by Pieter van Aelst; these original tapestries are still in the collection of the Vatican Museums. The present work was reproduced over a century later from the original drawing and is one in a possible set of nearly fifty known copies of the original tapestry cycle. Most of the Mattens yarn samples were found to be dyed by weld, indigo, and madder, as well as a few using brazilwood and lichen, but no insect dyes were detected. A significant finding in the present study was the detection of the dye component pseudoindirubin 1, alongside indigotin and indirubin, as well as yarns that only yielded the latter two dyes. The implication of using this new marker as objective evidence of the use of both woad and most likely Asian indigo is explored. The historical and conservation significance of the dyestuffs identified is also discussed.

Modification of cotton yarns utilizing graphene ink to functionalized as conductivity

In this study, the oxidation and reduction method was combined with chemical and hydrothermal method to prepare graphene ink for high electrical conductivity. The prepared ink samples were subsequently analyzed using a scanning electron microscope (SEM) and an X-ray dispersion spectrometer (EDS). The resulting samples displayed a deposition of extremely thin slices and consistent geometric shapes with a thickness from 3 to 1 nm. Moreover, the weighty and atomic ratios of carbon and oxygen in the samples were 48.75 and 36.59%, respectively; the carbon ratio was higher than the oxygen ratio. Open-end, carded, and combed cotton yarn samples were coated using the surface coating technique. The tensile strength of the treated cotton yarns was tested and analyzed. On the open-end yarn sample’s surface, thin slices of graphene were densely present. Additionally, the open-end yarn’s atomic ratios of carbon and oxygen were 5.4 and 7.3%, respectively. Sample’s electrical resistance was constant even after 12 washes; the open-end yarn had the lowest electrical resistance. The suitability of the treated yarns for use in heat generation applications was studied. As a result, by increasing the applied voltage and the number of graphene ink layers, the open-end yarn temperature rises to 55 °C. The open-end yarn temperature was increased by increasing the number of applied graphene layers. This finding suggests that these yarns could be used in wearable smart textiles that generate heat.

A Comprehensive Investigation of Woolenization Process Effect on Jute Yarn Quality

Jute, a renowned biodegradable and sustainable textile fibre, plays a pivotal role in environmentally conscious textile production. The purpose of this study was to investigate the effects of the woolenization process on the qualitative attributes of jute yarn, such as yarn evenness, and tensile and functional properties, with a special focus on the development of wool-like properties. Yarn samples were meticulously prepared from white jute fibre, categorized into three distinct count groups (C8, C10, and C12), and subjected to four treatment categories: untreated (U), woolenized (W), bleached (B), and dyed (D). The results showed that the woolenization process impoverished yarn evenness, with a significant 15.2% increase in CVm for WC8, 74% and 88.6% increase in Thin (-50%)/Km and Thick (+50%)/Km, respectively, for WC10. For tensile properties, a 27% reduction in tenacity and 176.5% remarkable elongation improvement were noted for samples WC10 and WC12, respectively. Furthermore, the development of wool-like properties was noteworthy in functional properties, including a 38.8% increase in Specific Volume Index (SVI), and a 12.8% reduction in moisture content was marked for WC8. The woolenization process also had an adverse effect on jute yarn count and quality ratio, with a deterioration of 12.5% and 32.2% marked for sample WC10, respectively. The results suggest that the bleaching process performed after woolenization negatively impacts yarn evenness. However, dyeing after woolenization and bleaching can enhance overall yarn quality. The outcome of this study will promote the use of natural fibre, and jute over synthetic and natural wool fibres.

The Interconnecting Process and Sensing Performance of Stretchable Hybrid Electronic Yarn for Body Temperature Monitoring.

Flexible and stretchable electronic yarn containing electronic components (i.e., hybrid electronic yarn) are essential for manufacturing smart textile garments or fabrics. Due to their low stretchability and easy interconnection fracture, previously reported hybrid electronic sensing yarns have poor mechanical durability and washability. In order to address this issue, a stretchable hybrid electronic yarn for body temperature monitoring was designed and prepared using a spandex filament as the core yarn and a thin enameled copper wire connected with a thermal resistor as the wrapping fiber. The temperature sensing performance of different hybrid electronic yarn samples was evaluated using the following three types of interconnection methods: conductive adhesive bonding, melt soldering, and hot pressure bonding. The optimal interconnection method with good sensing performance was determined. Furthermore, in order to improve the mechanical durability of the hybrid electronic yarn made using the optimal interconnection method, the interconnection area was encapsulated with polymers, and the effect of polymer materials and structures on the temperature-sensing properties was evaluated. The results show that traditional wrapping combined with hot pressing interconnection followed by tube encapsulating technology is beneficial for achieving high stretchability and good temperature-sensing performance of hybrid electronic yarn.

Experimental investigation of mechanical and comfort properties of banana/cotton blended woven fabrics

Purpose Through this study, four different types of woven fabric structures were created by using cotton/banana blends with a 70:30 ratio by varying the weaving specifications. This study aims to investigate the comfort and mechanical properties of these woven materials. Design/methodology/approach Taguchi L16 experimental design (5 factors and 4 levels) with response surface methodology tool was used to optimize mechanical and comfort characteristics. The yarn samples used in this study are cotton/banana with a blend ratio of 70:30. Fabric type (A), grams per square metre (GSM; B), yarn count (C), fabric thickness (D) and cloth cover factor (E) are the chosen process characteristics. Findings The highest tensile strength and tearing strength of the cotton/banana blended fabric samples were obtained as 326.3 N and 90.3 k.gf/cm, respectively. Similarly, the highest thermal conductivity and overall moisture management capacity values were found to be 0.6628 and 3.06 W/mK X10−4, respectively. The optimized process parameters for obtaining maximum mechanical properties were using canvas fabric structure, 182 GSM, 36s Ne yarn count, 0.48 mm fabric thickness and 23.5 cloth cover factor. Similarly, the optimized process parameters for obtaining maximum comfort properties were achieved using a twill fabric structure, 182 GSM, 32s Ne yarn count, 0.4 mm fabric thickness and 23 cloth cover factor. Originality/value In contrast to synthetic fabrics, banana fibre and its blended materials are significant ecological solutions for apparel and functional clothing. Products made from banana fibre are a sustainable and green alternative to conventional fabrics. Banana fibre obtained from the pseudostem of the plant has an appearance similar to ramie and bamboo fibres. Numerous studies showed that banana fibre could absorb significant moisture and be spun into yarn through ring and rotor spinning technology. On the other hand, this fibre can be easily combined with cotton, jute, wool and synthetic fibre. The present utilization of pseudostem of banana plant fibre is very minimal. This type of research improves the usability of bananas their blended fabrics as apparel and functional wear.

Neural inverse procedural modeling of knitting yarns from images

We investigate the capabilities of neural inverse procedural modeling to infer high-quality procedural yarn models with fiber-level details from single images of depicted yarn samples. While directly inferring all parameters of the underlying yarn model based on a single neural network may seem an intuitive choice, we show that the complexity of yarn structures in terms of twisting and migration characteristics of the involved fibers can be better encountered in terms of ensembles of networks that focus on individual characteristics. We analyze the effect of different loss functions including a parameter loss to penalize the deviation of inferred parameters to ground truth annotations, a reconstruction loss to enforce similar statistics of the image generated for the estimated parameters in comparison to training images as well as an additional regularization term to explicitly penalize deviations between latent codes of synthetic images and the average latent code of real images in the encoder’s latent space. We demonstrate that the combination of a carefully designed parametric, procedural yarn model with respective network ensembles as well as loss functions even allows robust parameter inference when solely trained on synthetic data. Since our approach relies on the availability of a yarn database with parameter annotations and we are not aware of such a respectively available dataset, we additionally provide, to the best of our knowledge, the first dataset of yarn images with annotations regarding the respective yarn parameters. For this purpose, we use a novel yarn generator that improves the realism of the produced results over previous approaches.

Carbon Comforts: The Next Frontier in Thermotherapy Yarns

Thermotherapy is a therapeutic approach aimed at alleviating pain, reducing inflammation, and facilitating the wound-healing process through the controlled administration of heat via diverse methodologies. In addition to conventional hot packs and warm water compresses, a myriad of alternative heat modalities is available for therapeutic purposes. Carbon yarn is a nanofiber material that has low density high strength-to-weight ratio. The microscopic crystals of carbon bonded together in an alignment of parallel to the axis. The carbon has unique characteristics of heat resistance and electric conductivity that makes another added use of carbon yarn for thermal therapy for relieve of pain and certain inflammations by allowing the free flow of blood at the applied area. Thus, carbon also has different grades of yarn with differences in their properties and behavior on which our studies have performed for best grade selection. Carbon yarn of 12k and 24k of different lengths have undergone test for their performance. Given the equivalence in functional characteristics between electrical and thermal conductivity, our material selection approach places paramount importance on factors such as electrical efficiency and resistance to high temperatures. This meticulous consideration ensures the creation of an unparalleled and exemplary thermal therapy product. The test outcomes for these carbon yarn samples under various power supply settings have yielded divergent results, yet a notable trend emerges an accelerated heating rate with an increase in current (Amp) while maintaining a constant voltage. The temperature at constant voltage remains the same with the fluctuations of ± 2॰C/min. The objective is to identify a material characterized by minimal electricity consumption and concurrent high-temperature release. Another remarkable attribute of this material is its exceptional ability to rapidly cool to room temperature upon the removal of the power supply. The heat transfer mechanisms, both convective and radiative, exhibited a diminishing trend as the length and number of tows of the simulated carbon fibre electric heating wire increased. Particularly noteworthy was the substantial dominance of convective heat transfer over radiative heat transfer, unequivocally highlighting convective heat transfer as the primary mode for dissipating heat in the carbon fibre electric heating wire.

EXPERTISE OF PYRAMID TEA BAGS BY OPTICAL MICROSCOPY AND FTIR-SPECTROSCOPY METHODS. MICROPLASTICS FORMATION IN BREWED TEA

Eight brands of pyramid tea bags on the Ukrainian market were studied: Sun Gardens (1), Lovare (2), Curtis for Mc Donalds (3), Curtis (4), Lipton (5), Premiya (6), Sonnet (7) and Loyd (8). Using FTIR spectroscopy, it was found that the pyramids of the bags are made of thermoplastic polymers polyethylene terephthalate (samples 1-7) and polylactic acid (sample 8). The threads attached to the pyramids are made of thermoplastic polymers polypropylene (samples 1,2,4-7), polyethylene terephthalate (sample 4) and polylactic acid (sample 8). The specific optical rotation of polylactic acid [α]D25 is about -150° (c=1, CHCl3), which refers to poly(L-lactic acid). Using optical microscopy, it was established that the structure of the pyramids are divided into those made of plain woven fabrics (samples 1-3) and heat-bonded nonwoven fabrics (samples 4-8). The tea bags (samples 1-3) exhibit a well patterned net structure (mesh) with the pores perceived to be uniform and regular. The tea bags made of nonwoven materials have an irregular network consisting of compact and random arrangement of fibers. The fibers are pleated randomly, generating irregular pores. Nonwoven fabrics are made from fibers with a diameter of 12-18 µm, woven fabrics are made from fibers with a diameter of 48-54 µm. The area density of nonwoven fabrics is 18.5-20.3 g/m2, the area density of woven fabrics is 22.0-22.7 g/m2. The threads are made by twisting several single-twisted yarns. The structure of threads are a cabled yarn from three 2-ply yarns (samples 1,8), 4-ply yarn (samples 2-4,6,7) and 4-ply multyfilament yarn (samples 5). The final twist of the plied yarn/cord is S-twist. The primary structural element of threads in the case of samples 1-4, 6-8 are staple fibers, of sample 5 are multyfilament fibers. Each empty pyramids and thread was steeped at 95oC for 5 min in 10 mL of water. It has been established that the shape of microplastic particles formed in beverages during tea brewing is determined by the primary structure of tea bags. Both pyramids and threads release irregularly shaped microplastic particles.

Design and properties of shape memory sports bras for comfortable pressure based on ergonomics

To improve the difficulty in wearing and uncomfortable pressure of the sports bra, shape memory polyurethane filaments (SMPUFs) were used to prepare seamless sports bras in this study. Five fabric samples with different stitch structures and yarn were prepared. Then shape memory sports bras were designed based on the properties of the different fabric samples and female body characteristics. SMPUFs were characterized by differential scanning calorimetry for the thermal properties. Shape memory properties and mechanical properties of the SMPUFs, covered yarn and fabric samples were measured. Besides this, the moisture absorbency, permeability and thermal resistance of fabrics were tested. A pressure test system was set up and the pressure of the sports bras was investigated at different temperatures. The results showed that the transition temperature ( Ttrans) of the SMPUF was 27.33°C, which could be triggered by human skin temperature. The best shape fixity ratio of the fabric sample was 82.5% and the shape recovery ratio was 94.4%. The comfortable pressure of the shape memory sports bra at the mean human skin temperature of 34°C was 1.6–5.6 kPa.

Degradation of Poly(ε-caprolactone) Resorbable Multifilament Yarn under Physiological Conditions.

Poly(ε-caprolactone) (PCL) is a hydrophobic, resorbable aliphatic polymer recognized for its low tenacity and extensive elongation at break, making it a popular choice for fabricating biodegradable tissue engineering scaffolds. PCL's slow degradation rate typically results in a complete resorption period of 2 to 3 years. While numerous studies have examined the degradation of PCL in various forms such as films and webs, no study to date has investigated its physiological degradation in multifilament yarn form. In this study, we subjected PCL multifilament yarn samples to physiological conditions in phosphate-buffered saline (PBS) maintained at a consistent temperature of 37 ± 2 °C and agitated at 45 rpm for a period of 32 weeks. We retrieved samples at five different intervals to analyze the degradation profile of the multifilament yarn. This allowed us to estimate the complete resorption time and rate under these in vitro conditions. Over the 32-week period, the multifilament yarn's mass decreased by 4.8%, its elongation at break declined by 42%, the tenacity dropped by 40%, and the peak load at break fell by 46.5%. Based on these findings, we predict that a scaffold structure incorporating PCL multifilament yarn would undergo complete resorption in approximately 14 months under physiological conditions, such as in PBS solution at a pH of approximately 7 and a temperature of 37 °C.

Eco-friendly dyeing of fabric and wool yarn samples with Morus nigra leaf extracts

Morus nigra L. is a biologically important plant. In addition to the biological importance of the extracts obtained from its various parts, it is used as a material in various fields. In this work, dyeing properties of the cotton fabrics and the wool yarns with Morus nigra L. leaf extracts were investigated. In dyeing studies using Morus nigra L. leaf extracts, yellow tones were obtained in dyeing cotton fabrics, and green and yellow tones were obtained in dyeing wool yarns. Washing, rubbing and light fastness of dyed textile products were examined. According to the results, cotton fabrics showed better dyeing potential than wool yarns. As a result, Morus nigra L. leaf can be used as a natural dyeing agent in the dyeing of textile products.

A sustainable approach to manufacture mélange yarn from waste jute fiber and pre-consumer cotton fabric waste using I-optimal mixture design

Today, the exploitation of recycled fibers emanating from textile waste has substantially increased owing to the growing environmental consciousness, legal sustainability mandates, and escalating raw material expenses. Herein, for the very first time, an innovative and sustainable approach was employed to utilize the dyed waste jute fibers accumulated beneath the jute weaving machines to create mélange yarns. Recycled cotton was used as well to reduce the amount of virgin cotton in mélange yarn. First-time, a precise prediction of mixing proportions in mélange yarn was yielded by using an I-optimal mixture design, a part of response surface methodology. The design recommended performing 16 experimental runs with 3 mixing components: dyed waste jute fiber (5–30%), recycled cotton (5–15%) and virgin cotton (55–80%), resulting in the production of 16 distinct yarn samples. Surface response models such as special quartic, special cubic, linear, and quadratic were developed for predicting the yarn unevenness, imperfection, hairiness, strength, and elongation. All the models were found to be statistically significant with p-values below 0.0500. Using desirability functions based on the response models, the optimized mixture components in the yarn were derived to be 15.8% dyed waste jute, 7.4% recycled cotton, and 76.8% virgin cotton fibers. This formulation was used to produce an 18 Ne mélange yarn whose quality parameters closely matched the predicted values, substantiating the effectiveness of the response model in navigating and predicting the attributes of mélange yarn.