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Autex Research Journal
Journal Prestige (SJR): 0.448  Citation Impact (citeScore): 1 Number of Followers: 1  Open Access journalISSN (Print) 1470-9589 - ISSN (Online) 2300-0929 Published by Sciendo  [389 journals]
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- Tie-dyeing pattern fast-generation method based on deep-learning and
digital-image-processing technology
Abstract: Contingency and uniqueness are regarded as typical artistic characteristics. To accomplish the realistic effect of each tie-dyeing pattern artwork, we propose a digital tie-dyeing pattern fast-generation algorithm based on auxiliary-classifier deep-convolution generative adversarial network (AC-DCGAN) and image-processing technology. To apply this algorithm, the designer first draws the planar layout diagram of the tie-dyeing patterns. The diagram consists of a white background and polychrome circles, and the regional-connectivity algorithm is used to extract information on all the circle positions as well as the pattern categories in the diagram. Then the AC-DCGAN-generated background image is color-corrected to stitch and complete its construction. The AC-DCGAN-generated tie-dyeing pattern image is also color-corrected and is then segmented and copied to the circle area. Mean filtering creates the final digital tie-dyeing patterns. Results show no obvious color difference in generated patterns, splicing edges show uniform transition, and unique patterns exhibit tie-dye characteristics, achieving realistic artistic effects.
PubDate: Wed, 01 Mar 2023 00:00:00 GMT
- Single-sided Jacquard knit fabric development and seamless ski underwear
zoning design based on body mapping sportswear
Abstract: In order to meet the functional requirements of professional skiers for ski underwear, such as warmth, breathability, moisture absorption, sweat drainage, and stretch elasticity, six single-sided jacquard knit fabric structures were designed and then knitted with polyester and DRYARN. Then, 12 fabrics were acquired and ranked comprehensively by the one-way analysis of variance and grey correlative analysis based on entropy. According to the fabric properties and sweat distribution on the human skin surface, the professional ski underwear was zoning designed and the wearing experiment and evaluation were carried out on the “Newton” sweated manikin system. The analysis results show that the fabric with DRYARN® material has better air permeability and moisture permeability. Thermal resistance, Clo value, and permeability play important roles in comprehensive evaluation. The results of wearing experiment show that the seamless professional ski underwear woven based on body mapping sportswear has superior function and reasonable design, which can provide technical support for the design of professional seamless ski underwear.
PubDate: Wed, 28 Dec 2022 00:00:00 GMT
- Wearable design for occupational safety of Pb water pollution monitoring
based on fluorescent CDs
Abstract: The indiscriminate discharge of industrial and domestic wastewater leads to the pollution of production, living, and landscape waters with heavy metals, including Pb2+. To protect people working in environments with risk of water pollution by Pb2+, the Pb2+ chemosensor based on fluorescent carbon dots (CDs) was designed in this study. Based on quenching of the fluorescence of CDs via electron or energy transfer between Pb2+ and CDs, the sensor induces a significant “dark blue to light blue” fluorescence burst color change under the naked eye. Results suggest that the fluorescence intensity of CDs positively correlated with the concentrations of Pb2+ (R2 = 0.823–0.986), which is conducive to the detection of Pb2+-containing wastewater by CDs. On this basis, we integrated CD fluorescent sensors into wearable gloves via a mediated coating method. With no additional burden (off-site, long lead times, high cost, etc.), the designed wearable gloves enable front loading of the detection window for Pb2+-contaminated water to protect the wearer from poisoning. Eight watershed environmental occupants reported a 57.42% reduction in occupational anxiety after using our safety gloves. We believe that the proposed flexible and stable wearable sensing system will not only have great potential applications in Pb2+ field detection but also stimulate the development of other environmental pollution sensing devices.
PubDate: Fri, 23 Dec 2022 00:00:00 GMT
- Non-planar 3D printed elements on textile substrate using a fused filament
fabrication 3D printer
Abstract: Adhesion between additively printed elements on textiles is one of the most important quality characteristics. Applied elements must form very good adhesion with the textile substrate in order to produce functional textiles. The request for non-planar printing directly on textiles is growing, especially in the fields of orthopaedic engineering and protective clothing. This new printing technique can open up new areas of application. For such a production of non-planar elements on textiles, new test methods have to be developed, as the current adhesion tests (180° peel test) are not applicable to non-planar prints on textiles. For non-planar additive printing on textiles, a cylindrical print bed for a fused filament fabrication printer was developed and modified accordingly in the first step. In the next step, a new measurement method was developed to investigate the adhesion between the textile and the non-planar three-dimensional-printed element. The study shows the challenges and the adhesion differences of non-planar printed objects on pre-stretched textiles on a cylindrical print bed. Several factors influencing adhesion were identified. The alignment of the printing nozzle to the textile substrate is the key factor influencing adhesion. The alignment also has a significant influence on the visual print quality.
PubDate: Fri, 23 Dec 2022 00:00:00 GMT
- Automatic recognition of density and weave pattern of yarn-dyed fabric
Abstract: Under the production mode of small-batch and multi-item, the recognition of yarn-dyed fabric patterns is a crucial task in the textile industry. In this article, an automatic recognition system based on pixel-level features is proposed to recognize the density, the weave pattern, and the color pattern. In this system, the fabric images are captured by a scanner. First, a method based on the Hough transform is used to correct the skew of the yarns, including warp and weft. Second, the yarns and nodes are located in the enhanced images with a brightness-projection method. The density can be calculated by using the results. Then, the type of each node is identified based on the boundary information. We can obtain the weave pattern after knowing the type of each node. Finally, the fuzzy C-means algorithm is used to determine the color of each node, and thus we obtain the color pattern of the yarn-dyed fabric. Experimental results demonstrate that the proposed recognition system is effective for detecting the structural parameters of yarn-dyed fabric.
PubDate: Thu, 22 Dec 2022 00:00:00 GMT
- A review of textiles reflecting FIR produced by the human body
Abstract: The human body constantly produces thermal electromagnetic radiation with a maximum of about 10 µm. This thermal radiation has a number of positive effects on the human body and, in addition, allows the insulation under clothing to be improved under extreme climatic conditions, causing a significant reduction in ambient temperature. With so-called far-infrared (FIR) textiles, it is possible to ensure the reflection of thermal radiation back to the human body. In the first part of this review, the generation of heat by the human body and its propagation by radiation through the skin are comprehensively explained. The thermal characteristics of the individual skin layers as an emitter of infrared radiation are given. The second part discusses the basic preparation methods of FIR textiles. Suitable particle systems are described based on metals and their oxides, porous carbon, and special ceramics. Modification of the fiber phase (especially the fineness of the fibers and the porosity of the fabric) in combination with the surface coating of metals is also used for their health-promoting effects. The main manufacturers of FIR textiles and their typical products are mentioned.
PubDate: Thu, 15 Dec 2022 00:00:00 GMT
- State of the art of presentation of clothing textiles in E-commerce with
size matching issues
Abstract: “According to Lingaro’s analysis, the return of a product generates 5 times more CO2 than the purchase itself. Thus, the optimization of online e-commerce purchasing processes is a serious challenge not only for business, but mainly for the protection of the environment and our global health.” Presentation of textiles and clothing in e-commerce in Poland has remained unchanged since the beginning of e-commerce (the setup of Allegro auction site in the early 2000s) until now with little exceptions of new technology trends powered by EU funds. In Poland, WearFits introduces an R&D solution in the form of a virtual fitting room presented in augmented reality (AR) view to decrease returns of textile clothing bought online. It uses an avatar of human size and shape of the customer’s body for fitting the three-dimensional models in AR view. The purpose of the article is to review the state of the art of presentation of clothing textiles in e-commerce in the world and in Poland for selling textiles online and to emphasize the problem of size matching in the context of returns.
PubDate: Tue, 06 Dec 2022 00:00:00 GMT
- Computer geometric modeling approach with filament assembly model for 2 ×
1 and 3 × 1 twill woven fabric structures
Abstract: A new computer geometric modeling approach for 2 × 1 and 3 × 1 twill woven fabric structures is proposed. The precise geometrical description is presented by taking the skewness property into account. In the 2 × 1 and 3 × 1 twill weaves, the twill fabrics are formed of asymmetric floatings in which the length of floating sections was not equal on both surfaces and therefore the equilibrium condition was different from symmetric floatings. The proposed algorithm has three main parts: the first part describes the two-dimensional model of yarn cross-section for twill woven fabric structure, the second part consists of a modeling method for a three-dimensional model in warp/weft yarn, and the third part contains the CAD model. Examples of this approach are demonstrated and compared with a single line of yarn path model and the filament assemble model that excludes the skewness property. The model simulated in this study can improve the visual simulation of the real twill woven fabric and also this geometric model necessary as an input to many computational models for the prediction of the properties of the fabrics.
PubDate: Tue, 06 Dec 2022 00:00:00 GMT
- Investigating textile-based electrodes for ECG monitoring in veterinary
clinical practice
Abstract: There is an increasing interest in long-term electrocardiography (ECG) monitoring in veterinary clinical practice. ECG is the most essential physiological signal in diagnosing and managing heart diseases both in humans and animals. Electrodes are the main components that affect the quality of the acquired signal. This study focuses on the development of silver-coated textile electrodes for veterinary ECG testing (particularly for dogs). Silver printed polyester, embroidered, and silver-plated conductive hook textile electrodes were used for ECG measurement in dogs. This is an important validation for the use of textile ECG sensors in combination with hairy skin. ECG signals were collected while the animal was in a static position and walking on a smooth surface. The ECG signals collected from the dog using the silver printed polyester and embroidered textile electrodes with slight skin preparation have identifiable P, QRS, and T waveforms and were comparable with signals from standard silver/silver chloride (Ag/AgCl) electrodes. Results revealed that these textile electrodes can be used for ECG monitoring in a dog to avoid associated problems with commercially used crocodile clamps and standard Ag/AgCl electrodes. The hook electrodes show promising results when placed on the hairy regions of a dog without any skin preparation.
PubDate: Mon, 05 Dec 2022 00:00:00 GMT
- Animal fiber recognition based on feature fusion of the maximum
inter-class variance
Abstract: Cashmere and wool are common raw materials in the textile industry. The clothes made of cashmere are popular because of the excellent comfort. A system that can quickly and automatically classify the two will improve the efficiency of fiber recognition in the textile industry. We propose a classification method of cashmere and wool fibers based on feature fusion using the maximum inter-class variance. First, the fiber target area is obtained by the preprocessing algorithm. Second, the features of sub-images are extracted through the algorithm of the Discrete Wavelet Transform. It is linearly fused by introducing the weight in the approximate and detailed features. The maximum separability of the feature data can be achieved by the maximum inter-class variance. Finally, different classifiers are used to evaluate the performance of the proposed method. The support vector machine classifier can achieve the highest recognition rate, with an accuracy of 95.20%. The experimental results show that the recognition rate of the fused feature vectors is improved by 6.73% compared to the original feature vectors describing the image. It verifies that the proposed method provides an effective solution for the automatic recognition of cashmere and wool.
PubDate: Mon, 05 Dec 2022 00:00:00 GMT
- Identification of metal threads from Croatian fabrics
Abstract: This article deals with the analysis of metal threads in weaving from historical Croatian textiles, liturgical vestments, and folk costumes from the seventeenth to the twentieth century. The independent narrow stripes, wires, and the srma that was formed by a combination of metal thread wrapped around a non-metal textile yarn were collected and analysed. Using physicochemical method scanning electron microscopy with energy-dispersive X-ray spectroscopy (SEM-EDX), the metal composition and content in the threads were analysed. By cross-sectional analysis of metal threads by the SEM-EDX method, it was determined whether the metal threads were homogeneous, gilded, or silver-plated. The composition and structure of non-metal textile yarns were determined by light microscopy. Metal threads were primarily made of gold, silver, or copper and their alloys, but recently less valuable metals having a similar shine have generally been used. Non-metal textile threads in srma are most often made of silk, cotton, and linen. The aim of this study was to determine which type and composition of metal threads were used in different regions of Croatia, which can serve as a database for the restoration and conservation of valuable historical textiles. Also, according to the composition of metal threads, the technology of production threads can be determined and the temporal and spatial dating of textile objects can be determined approximately.
PubDate: Mon, 05 Dec 2022 00:00:00 GMT
- Investigation of Surface Geometry of Seersucker Woven Fabrics
Abstract: Seersucker woven fabrics are characterized by their unique structure and properties. Surface topography is a crucial feature of the seersucker woven fabrics. It influences the appearance and performance of fabrics. Till now, no testing method has been developed to assess the seersucker woven fabrics from the point of view of their surface geometry and to quantify the seersucker effect. In the present work, the non-contact optical method has been used to determine the parameters and functions characterizing the surface geometry of the cotton seersucker woven fabric. The aim of this work was to analyse the possibility of use of the MicroSpy® Profile profilometer in complex characterization of the investigated fabric and separately the flat and puckered areas of the fabric. The obtained results confirmed that the selected surface parameters and functions are able to distinguish both phases of the seersucker woven fabric: flat and puckered. The results are the starting point for further investigations of the seersucker woven fabrics in order to quantify the seersucker effect.
PubDate: Fri, 18 Nov 2022 00:00:00 GMT
- Liquid Moisture Transport in Stretched Knitted Fabrics
Abstract: Transport of moisture is an important aspect of physiological comfort of clothing usage. The moisture originating from sweat can be in the form of vapour or liquid. Sweat in the form of liquid occurs, whereas the sweat in the form of vapour cannot be efficiently evaporated to the environment. For the stretchable fabrics, it is important to know the influence of stretching on their liquid moisture transport performance. The aim of the present work was to analyse the liquid moisture transport in knitted fabrics at varying degrees of stretch: 0, 15, 20 and 20%, and to assess the effect of stretch ratio on the ability of fabrics to transport the liquid moisture. Measurement was done using the M290 Moisture Management Tester supplemented with the MMT Stretch Fabric Fixture device. The obtained results confirmed that the stretching influences the values of the parameters characterizing the knitted fabrics from the point of view of their ability to transport liquid moisture.
PubDate: Fri, 18 Nov 2022 00:00:00 GMT
- Thermal Resistance of Gray Modal and Micromodal Socks
Abstract: Men's socks were produced on a Lonati circular knitting machine in 18 different combinations in multi-plated plain jersey from basic modal and basic micro modal yarn with the addition of cotton or PA multifilament yarn and elastane yarn in the sock cuff. The modal and micromodal yarns were ring-spun, rotor-spun and air-spun; they consist of 38 mm long staple fibres with a fineness of 1.3 and 1.0 dtex respectively. Thermal resistance was determined by use of the thermal foot. The thermal resistance values for all socks samples range from 0.0091 to 0.01586 m2 °C W−1. The highest thermal resistance per groups of basic modal fibres was obtained in the samples made of air-jet spun yarn of 0.0132 m2 °C W−1 and the lowest in samples of rotor yarn of 0.0109 m2 °C W−1. The highest thermal resistance in all groups of basic micromodal samples made of ring yarn (0.0132 m2 °C W−1) and the lowest in the samples made of air-spun yarn (0.0099 m2 °C W−1). At low levels of thermal resistance, as the thickness of the sample of basic modal and micro modal fibres of ring and rotor yarns increases, the thermal resistance of socks increases with a correlation coefficient of 0.711. The tested sock samples have low thermal resistance, i.e. they can conduct heat better than the sock leg, thus achieving cooling and comfort, which is important for wearing socks in warm weather.
PubDate: Sat, 01 Oct 2022 00:00:00 GMT
- Design of Clothing with Encrypted Information of Lost Children Information
Based on Chaotic System and DNA Theory
Abstract: The encryption design is partly based on the fractional chaotic system and DNA theory. First, the dynamic characteristics of the newly proposed fractional Lü chaotic system are analyzed, and based on the analysis, a multi-image encryption algorithm is proposed. That is, the Arnold scrambling algorithm is used to scramble the image matrix, and then the DNA encryption theory is used to diffuse the image matrix. Among them, the scrambling step and the diffusion step are based on the chaotic sequence, and the encrypted image is finally obtained. Finally, the new encryption algorithm is evaluated, and the results show that the key space of the new encryption algorithm is further expanded and is very sensitive to key changes. The algorithm can effectively destroy the correlation of the original image, and can resist various cracking attacks. In summary, the multi-image encryption algorithm proposed in this paper has good encryption performance and provides a theoretical basis for practical applications. By reading those labels, children's identity and other relevant information can be acquired. This method may help police to obtain information on lost children and find their family rapidly.
PubDate: Sat, 01 Oct 2022 00:00:00 GMT
- Current Development and Future Prospects of Designing Sustainable Fashion
Abstract: In recent years, the entire fashion industry has been striving to develop in a more sustainable way. As the starting and crucial link of fashion product development, the process of design plays a decisive role in creating a healthier fashion supply chain. In this sense, the current work discusses from the design point of view the status quo and future direction of the development of fashion sustainability. The paper first describes the concept, the historical development, and the multi-angled significance of sustainable fashion design. Then, the current development of sustainable fashion design is studied by investigating the various ideas and approaches that are popular nowadays for the designing of eco-friendly and waste-free clothing. On this basis, the current work digs into the existing problems and finally points out the future prospects for the development of sustainable fashion design by putting forward some innovative and promising ideas and instructive “future-making” techniques.
PubDate: Sat, 01 Oct 2022 00:00:00 GMT
- Study on Process Optimization and Wetting Performance of
Ultrasonic-Oxidized Wool Fiber
Abstract: As lightweight and comfortable wool products have become the mainstream of the market, the surface treatment technology of wool fiber has been widely observed. Here, we treated wool fibers by ultrasonic bath and oxidation in a composite method that was better able to improve the wetting properties of wool fiber. Using this approach, we investigated the main factors influencing the effect of treatment and established the regression equations of multiple indices on processing conditions; after testing and optimization, the optimum technological parameters were obtained and experimentally verified. In addition, test results revealed that the ultrasonic-oxidation treatment in the optimum process led to the disulfide bonds (S-S) of wool fiber breaking and being oxidized, but showed less effect on the fiber's supramolecular structure; the wool fiber surface became smoother and more uniform, which resulted in a greatly increased wettability; there was a remarkable decrease in contact angle, and the rate of moisture absorption and desorption was enhanced in response to optimal treatment. These findings are significant for the potential industrial application of wool fiber as a moisture-absorbing material in textile products.
PubDate: Thu, 22 Sep 2022 00:00:00 GMT
- Application of Spectral Analysis in Spinning Measurements
Abstract: The presented analysis concerns the problem of irregularity in the mass distribution in linear textile products, its impact on the quality of flat products, and the methods of assessment. Based on the model of the ideal fiber stream, the purpose of the spectrogram has been justified, the characteristic form of the spectrogram for the yarn, roving, and sliver has been presented, and the impact of spinning machines on the form of the spectrogram has been described. The paper evaluates also the selected aspects of spectral analysis of the yarn and spinning semi-finished product irregularities.
PubDate: Thu, 22 Sep 2022 00:00:00 GMT
- Investigating the Effect of Recycled Cotton Included Fabrics on the
Thermal Behaviour by Using a Female Thermal Manikin
Abstract: In recent years, with the increase in global awareness of environmental problems, the term “sustainability” became more important for apparel manufacturers and consumers. Therefore, recycling of wastes plays a significant role in environmental sustainability by converting the wastes into raw materials. This study focused on recycled cotton-included fabrics, to evaluate the effect of these fabrics on thermal comfort properties. In this context, first, the 45% recycled cotton/55% polyester blended yarns and 50% virgin cotton/50% blended yarns were obtained. Afterwards, single jersey and rib-structured fabrics were knitted using these yarns. The thermal comfort tests were performed on the fabrics and four long sleeve rounded neck shirts then were manufactured using these fabrics to test by the thermal manikin method. Results showed that the yarns including recycled cotton led to a decrease in the values in air permeability of the fabrics and in the effective clothing insulation of the garments. In contrast, it was observed that, including recycled cotton increased the thermal resistance values of the fabrics.
PubDate: Mon, 12 Sep 2022 00:00:00 GMT
- The Effects of Sensory Marketing on Clothing-Buying Behavior
Abstract: Nowadays, intensive rivalry forces enterprises and brands to strive for differentiation. Use of marketing strategies, which can allure the consumers, effectively is one of the ways of differing oneself from one's rivals. Sensory marketing strategy, which affects the buying behavior and perception of consumers by alluring their senses, is one the marketing strategies whose importance and use have increased in recent years. This strategy also has been intensively used by enterprises that produce and market clothing products, which are one of the basic needs of consumers. In this context, this research study aims to analyze the effects of sensory marketing on clothing-buying behavior. The research aims to reveal how consumers in Turkey, which is one of the leading global clothing exporters and at the same time which is one of the significant markets, are affected by sensory marketing factors during the clothing purchase process. In accordance with the aim of the research, a survey was conducted of consumers who live in the three biggest cities of Turkey and whose ages are 18 and over. The data, which were obtained from field research, were analyzed statistically and suggestions are made to enterprises and brands that produce clothing products and/or market clothing products, on the basis of the study's findings.
PubDate: Wed, 27 Jul 2022 00:00:00 GMT
