Fabrication Quality Research Articles

Improvement of quality indices of leather fabrics of fur skins

The article is devoted to research on improving the quality indices and elastic-plastic properties of leather fabric of fur skins. An improved method and operative parts were developed that help ensure high elastic-plastic properties of leather fabrics of fur skins after mechanical processing. The design and geometric parameters of the operative parts of the improved design were studied and analyzed. It was determined that when using the recommended operative parts, the required quality of leather fabrics of fur skins is achieved by increasing the contact points between the operative parts and the processed material.

Displacement of the selvage of the fabric on shuttless looms as a factor in optimizing the silk fabric production process

One of the main weaving defects that reduces the quality of solid fabrics is streaks that appear after stopping the machine. These bands differ from shortcuts in that they only form when the machine is put into operation. The reason for the formation of boot bands can be due to the characteristics of both the elastic feeding system and the design of the main machine parts involved in the fabric formation process: batons, waste, feeding devices material for the machine with the base. and discard the finished fabric. On textile machines, for ease of maintenance, the machines are stopped and started in a stagnant position, and with each subsequent start of the machine, the baton and together with the reed do not have time to gain inertial force. that they have when the machine is running. As a result, the strength of the reed waves may not be enough, leading to the formation of shear lines (release strips). The main controller of a nonclosing loom does not control the tension of the sole after stopping the machine. Warp tension due to warp yarn slackening and fabric changes, resulting in a change in tension at the first pass. On a weaving machine, the elastic fabric forming system (ESFF) consists of two heterogeneous warp and fabric systems, with different stretch characteristics, and when the weaving machine is stopped, the relative lengths of the warp and fabric as well as the total The tension of the elastic system changes the formation of the fabric. In this case, the total length of the elastic tissue formation system does not change.

Modeling of Release Mechanism of Sage (Salvia fruticosa Miller) Phenolics Encapsulated in Alginate Capsule: Physicochemical Properties

Alginate capsules are promising delivery systems for encapsulation and release of phenolics since they can be fabricated from food‐grade biopolymers using mild processes. On the other hand, knowing the release kinetic of the phenolic in the capsules is critical for capsule fabrication and product quality improvement This study is aimed at mathematically modeling the transfer of encapsulated sage (Salvia fruticosa Miller) phenolics in alginate particles to water and to determine some physicochemical properties of capsules containing different concentrations of phenolics. The water activity values (aw) of the capsule varied between 0.9976 and 0.9990. Sphericity factors of 1 (37.5 ppm), 2 (75 ppm), 3 (150 ppm), 4 (300 ppm), and control (0 ppm) samples were determined as 0.042, 0.044, 0.043, 0.273, and 0.039, respectively. The yellowness (+b ∗) value of the samples increased significantly as the added sage extract concentration increased. While the phenolic content of the samples was determined between 0.174 and 1.1831 mg/kg GAE, the antioxidant activity values were determined between 0.9602 and 6.6930. To understand the mechanism of phenolic release from the capsules, six different mathematical models were used (First Order, Higuchi, Korsmeyer-Peppas, Hixson and Crowell, The Peppas-Sahlin, and Gompertz). The highest R2 (0.9952‐0.9979) and the lowest RMSE (1.0171‐1.7032) values were calculated in The Peppas‐Sahlin among the six models. The Peppas‐Sahlin model kinetic parameters indicated the dominance of Fickian diffusion and the minor effect of relaxation process in the mechanism of phenolic release.

Supervised and unsupervised techniques in textile quality inspections

Quality inspection is a critical step in ensuring the quality and efficiency of textile production processes. With the increasing complexity and scale of modern textile manufacturing systems, the need for accurate and efficient quality inspection and defect detection techniques has become paramount. This paper compares supervised and unsupervised Machine Learning techniques for defect detection in the context of industrial textile production, in terms of their respective advantages and disadvantages, and their implementation and computational costs. We explore the use of an autoencoder for the detection of defects in textiles. The goal of this preliminary work is to find out if unsupervised methods can successfully train models with good performance without the need for defect labelled data.

LIGHTING CONSIDERATIONS FOR A FASHION HOUSE

The study investigated the use of lighting in Nigerian fashion houses. This is built on the observation that most fashion houses are not purpose built. This leads to poor use of day light usage; necessitating the use of artificial lighting which often increases their cost of production. Aside from the effect of poor utilization on the operational cost of fashion houses, it has consequential effect on the wellbeing of staff as well as the quality of materials produced. In view of these shortcomings, the study adopted a case study approach to examine how fashion houses in developed economies have been able to incorporate day light strategies in their construction plans. The study examined three global fashion houses namely; Vionnet’s historic building, CafèModa, and Monsoon Flagship Store. From the analysis, it found that the use of day light strategies improved users experiences as well as reduce operational cost at Vionnet’s historic building. Similarly, the louvre system adopted at CafèModa enhanced users’ ability to control the light penetration depending on times and demands. This enhanced staff productivity as well as reduced expenses on electricity bills. Lastly, at Monsoon Flagship Store, it was found that skylight strategy was used. In as much as it guaranteed the penetration of solar energy, it was found that it could generate heat which could threaten the quality of fabrics used in clothe production. From these findings, the study concluded that Day light not only offers an aesthetically pleasing effect within a space but it also allows for interiors to be well lit free of charge throughout most parts of the day according to the seasonal variations. However, its usage must be within the ambience of industry and environmental regulations.

Extra thin sidelight-emitting polymer optical fiber narrow fabrics for UV structural adhesive joints: design, preparation and performance experiments

Ultraviolet (UV) bonding technology is widely used across industries. As the curing reaction is initiated via an external light source, the use of fast-curing structural UV acrylates has so far been limited to joint designs with at least one transparent joining part. By introducing a side-emitting polymer optical fiber textile into the adhesive layer, which acts as an embedded light source, the technology can be made accessible for applications with nontransparent substrates such as metals. This paper describes the development of extra thin polymer optical fiber narrow fabrics designed to enable curing of structural adhesive joints. Polymer optical fibers (warp) were combined with different low-titer polyester weft yarns in two fabric design types with different primary out-coupling mechanisms: undulation and surface modification of the polymer optical fibers. The effect of yarn properties, thread densities and weave on fabric quality, geometry and lateral light intensity of each type were investigated. Results showed that narrow fabric production within the tight geometric limits required is feasible. Fabrics manufactured with nontextured yarns at low titers and low weft densities exhibited the highest lateral light intensities for the surface modification type fabric. To compensate for intensity loss over fabric length, investigating light coupling from both sides is recommended for this fabric type. For the undulation type fabric, the lateral light intensity characteristics indicated that the high tenacity yarns are promising candidates for the fabrication of low sidelight attenuation fabrics through modulation of the weft density.

Improving the Production Quality and Competitiveness of Housewife Weaving through the Acquisition of Intellectual Property Rights in the Innovation of Sekir Handloom and Weaving Handloom in Balla Tumuka Village

Housewives weavers in Balla tumuka Village, as the main partners in this activity, carry out weaving activities in a traditional way using godokan tools. This has implications for the low quality of woven fabrics and a long time to make woven products. In addition, Balla Tumuka village is included in the category of very underdeveloped villages, so it also has implications for marketing methods that are not effective and efficient. The second partner in this activity is Bumdes Balla tumuka with the problem of Bumdes activities as a grocery store, so has implications for the lack of development of bumdes. Then, through the nation's vocabulary programme implemented according to the needs of the weaving group of housewives and bumdes, to increase the competitiveness of their respective products through intellectual property, namely trademarks on products owned by Bumdes and Weavers, and Copyright by the Weaving Group on Motifs.

Impact of Tie-Dye Techniques on the Durability and Aesthetic Appeal of Textiles

Abstract This study aims to investigate the influence of tie-dye techniques on the durability and aesthetic appeal of textiles. To address the issues of textile damage and visual aesthetics during usage, researchers conducted comparative experiments using five tie-dye fabric techniques and a wax-resist technique. The experimental results revealed that textiles processed through the folding and clamping dye method exhibited notable resistance to breakage in terms of durability. Textiles treated with the stitch and bind dye method demonstrated significant advantages over other processing methods in terms of colorfastness, fabric luster, and visual attractiveness. The study findings indicate a positive impact of tie-dye techniques on the durability and aesthetic appeal of textiles. By employing tie-dye techniques, the durability of the textiles remained uncompromised while enhancing their aesthetic appeal. This technique is suitable for everyday use, and it also improves the visual quality of textiles, making them more competitive in the market. Therefore, tie-dye techniques offer an effective and promising improvement method for the textile industry, with wide potential applications in practical production.

An application of cold spray additive manufacturing for thermoelectric generator thermal interfacing

The influence of thermal interface resistance is an important design problem for the optimisation of heat transfer systems. For thermoelectric generators (TEG), it can limit the ability to convert thermal energy directly to electrical energy. This paper describes an experimental and numerical study of the influence of thermal interface resistance on TEG module performance. A test apparatus was constructed to evaluate TEGs under varying temperature and heat source/sink conditions. The effect of heat source/sink interface finish grades, corresponding to medium quality (N8-N6) and very fine (N5-N4) surface finishes, at varying clamp forces, is evaluated. Then the application of cold spray additive manufactured copper, as a novel method of TEG module thermal interfacing is explored. Experimental data is accompanied with numerical analysis using TEG ideal equations and the effective material properties approach with the incorporation of temperature dependency and fabrication quality factors to improve modelling accuracy. A system of simultaneous heat flow equations is then established to numerically solve for the presence of thermal interface resistance. The results show that high clamp forces (3600 N) and very fine finish grades were sufficient to minimise thermal interface resistance to the range 0–5.98 ×10−5m2KW−1, representing a loss of 0–9.9% in maximal achievable power. For the cold spray thermally interfaced TEG module, resistance estimates were lower and in the range 0–5.4 ×10−6m2KW−1, corresponding to a 0–1.0% loss in power.

Changes in Mechanical Properties of Fabrics Made of Standard and Recycled Polyester Yarns Due to Aging.

Over the years, the demands on the durability and quality of polyester fabrics used for sportswear have increased, as these fabrics contribute to athletes' performance. At the same time, the use of recycled polyester material is increasingly being promoted for environmental reasons. This study focused on investigating the properties of standard and recycled polyester fabrics before and after aging according to the developed aging protocol. The surface morphology, thickness, elongation at break, force at break, bursting force, mass loss due to abrasion and moisture management of the fabrics were tested. The results showed that the aging process had no influence on the surface changes in the fabrics. More specifically, there were neither surface cracks on the fibre surface nor chemical changes. The highest decrease in force at break for standard polyester fabrics with elastane was up to 26%, and up to 15% for fabrics made of recycled polyester. The loss of mass due to abrasion was greater for recycled polyester than for standard polyester fabrics. The average ability of the fabrics to absorb moisture decreased by up to 23% after aging, while the wetting time increased by up to 30%, with the highest increase observed in recycled fabrics.

Pengembangan Kewirausahaan Ecoprint Berbasis Smart Steamer Machine Guna Meningkatkan Kualitas Produk dan Efisiensi

Ecoprint, a fabric printing and dyeing technique utilizing natural dyes with leaves, is currently experiencing a surge in demand and becoming a trend among fashion entrepreneurs and textile craftsmen. The unique patterns created from leaves distinguish ecoprint from traditional batik designs in the market, making it highly appealing. Apietz Craft, a Small and Medium Enterprise (SME), was established at the beginning of 2020 during the Covid-19 pandemic. Mostly operated by residents of Jl. Hasyim Ashari II, Sepanjang Village, Gondanglegi District, Malang Regency, the business faced challenges during the ecoprint fabric steaming process. The issues stemmed from the small size of the steaming pot and the lack of temperature control, leading to a decline in fabric quality. These obstacles hindered the ecoprint production process, resulting in suboptimal outcomes. In response to these challenges, this PKM program proposes a solution by introducing a technology transfer initiative. A smart steamer machine will be implemented, designed to accommodate a larger capacity and capable of monitoring temperature within the machine. This advancement aims to enhance production quality and improve production efficiency. The initiative is expected to address the current issues faced by our partner, enabling them to achieve optimal ecoprint fabric production.
 Keywords: Smart Steamer Machine, Ecoprint, Development Entrepreneurship

Novel MobileNet based Multipath Convolutional Neural Network for defect detection in fabrics

Automatic fabric defect detection and classification is the most important process in the textile industry to ensure the fabric quality. In the existing systems, a learning based method is used for detecting defects in plain weave fabrics. In this paper, a novel MobileNet based Multipath Convolutional Neural Network (MMPCNN) architecture is proposed for detection and classification of simple and complex patterned fabric defects. In the proposed MMPCNN architecture, MobileNet model is used in the first path. In this, Gabor filter bank is used instead of conventional filters in the first convolution layer. A simple convolutional neural network architecture with Gray Level Co-occurrence Matrix (GLCM) features as an input is used in the second path of the MMPCNN architecture. Gabor filters are more useful for analyzing the texture with different orientations and scales. Each Gabor filter parameter has its own impact on analyzing the texture and extracting the information from the texture. Therefore, in this paper, the use of Gabor filter parameters in MMPCNN architecture is analyzed. The proposed model is experimented on the TILDA textile image database and it is able to achieve 100% accuracy with reduced trainable parameters for fabric defect detection and classification.

Functionalization of All-Oxide Ceramic Matrix Composites Elements Using Three-Dimensional Braiding and Pressure Slip Casting for Composite Processing: Approaches to Reduce the Filter Effect of Dense Reinforcement Textiles

Abstract A key element for the transition to sustainable energy lies in the transformation of the power plant fleet, which is dominated by fossil fuels, toward sustainable energy production from renewable energy sources. An increase in efficiency and reduction of exhaust gas emissions, especially the minimization of CO2 emissions, is possible through the use of new turbine materials, which can withstand higher temperature levels. Oxide ceramics are well known for their high stability in aggressive environments, low density, high melting point, high stiffness, and great creep resistance, but their brittleness has strongly limited their number of applications. Therefore, the implementation of fiber reinforcement using the three-dimensional (3D) braiding process shows great potential to increase the damage tolerance of ceramic matrix composites (CMC) and consequently the performance of thermal machines significantly. Currently, the impregnation of 3D braids for the reinforcement of ceramic composites poses a challenge due to the high packing density of the textiles. In order to enable a homogeneous impregnation of the fiber structures using highly viscous ceramic slurries, the CMC research group at RWTH Aachen University's Institute of Textile Technology (ITA) is investigating the combination of 3D braiding and pressure slip casting for an economical production of all-oxide CMCs. To increase the impregnation quality of dense textiles, this paper describes approaches to reduce the filter effect of braids. The results of an initial investigation into the functionalization of two-dimensional braided reinforcement structures by using support structures and flow aids are described. The effectiveness of the impregnation ability is assessed by evaluating the residual porosity of generated green compacts via μCT analysis.

Near-zero-adhesion-enabled intact wafer-scale resist-transfer printing for high-fidelity nanofabrication on arbitrary substrates

There is an urgent need for novel processes that can integrate different functional nanostructures onto specific substrates, so as to meet the fast-growing need for broad applications in nanoelectronics, nanophotonics, and flexible optoelectronics. Existing direct-lithography methods are difficult to use on flexible, nonplanar, and biocompatible surfaces. Therefore, this fabrication is usually accomplished by nanotransfer printing. However, large-scale integration of multiscale nanostructures with unconventional substrates remains challenging because fabrication yields and quality are often limited by the resolution, uniformity, adhesivity, and integrity of the nanostructures formed by direct transfer. Here, we proposed a resist-based transfer strategy enabled by near-zero adhesion, which was achieved by molecular modification to attain a critical surface energy interval. This approach enabled the intact transfer of wafer-scale, ultrathin-resist nanofilms onto arbitrary substrates with mitigated cracking and wrinkling, thereby facilitating the in situ fabrication of nanostructures for functional devices. Applying this approach, fabrication of three-dimensional-stacked multilayer structures with enhanced functionalities, nanoplasmonic structures with ∼10 nm resolution, and MoS2-based devices with excellent performance was demonstrated on specific substrates. These results collectively demonstrated the high stability, reliability, and throughput of our strategy for optical and electronic device applications.

Experimental characterization and modal analysis for woven composite high aspect ratio beam

In modern engineering applications such as aerial vehicles, composite structures are widely implemented due to their high structural stiffness and very low weight-to-lift ratio. They also enable designers to control their mechanical properties as well as the manufacturing method and fabrication quality to achieve the required structural performance. However, various manufacturing methods and the fabrication process can be considered production imperfections. In this study, an assessment of the fabrication quality for a typical composite structure is implemented. As considered for airplane wings and helicopter blades, a high aspect ratio structure is implemented as a case study. This structure is composed of laminated woven carbon fiber/epoxy resin fabricated using the vacuum bagging production method. To characterize the mechanical properties of the proposed structure, a mechanical tensile test is carried out. An experimental modal analysis via roving hammer test is implemented to examine the dynamic behavior of the proposed structure. To assess the quality of manufacturing and fabrication quality, the obtained natural frequencies are compared with the ones computed using a numerical technique using the Finite Element Method (FEM). The analytical problem using MATLAB had been established to emphasize the experimental results. Results showed that good manufacturing quality is achieved by using the vacuum bagging production method. Also, the experimental results agree well with both the numerical and theoretical results, Which indicates good manufacturing quality.

Inspection of Cotton Woven Fabrics Produced by Ethiopian Textile Factories Through a Real-Time Vision-Based System

ABSTRACT Fabric is produced by the weaving process through the interlacement of warp and weft yarn or knitting process through the loop formation of yarn. During these processes, there is a possibility of fabric defect formation which hinders the acceptability by the fabric consumers. Ethiopian textile factories practiced a human inspection system, a traditional means of detecting fabric quality, for monitoring textile fabric defects. Manual fabric defect detection helps to instantly correct small defects, but it is time-consuming and results in human error due to fatigue and lack of concentration. Moreover, the accuracy of recognizing the defect highly depends on the mental status of the person that checks the defects. This initiated the development of a better fabric defect identification system that helps textile experts to detect fabric defects with better precision and speed. This study proposes a vision-based fabric inspection system for plain woven gray fabrics with a uniform texture. Accordingly, a comprehensive Fabric Defect Detection Database (FDDD) is constructed. The fabric significant features were calculated using a convolutional neural network (CNN) which is a state-of-the-art technology in image processing and task analysis. The experimental result of this study shows an average accuracy of about 89% in fabric defect recognition.

ResNet50: Automated Fabric Defect Detection and Classification based on a Deep Learning Approach

"The demand for an intelligent computer-based system for visual inspection is on the rise in the textile business, especially among those who place a premium on textile quality. In this research, we present a fully automated AI-driven algorithm for defect detection in fabric, one that makes use of deep neural network models that have already been pre-trained. In order to train the networks, the fabric images go through a series of pre-processing steps where typical image processing techniques are applied. In order to train and categorize various fabric flaws, we use Deep Convolutional Neural Networks (DCNNs) and the pre-trained ResNeT network. The system obtains a best classification accuracy of 96.40% in simulations utilizing preexisting textile datasets. This model's detection and classification system can help human operators spot flaws in the fabric manufacturing process with this degree of precision."

Towards smart scanning probe lithography: a framework accelerating nano-fabrication process with in-situ characterization via machine learning

Scanning probe lithography (SPL) is a promising technology to fabricate high-resolution, customized and cost-effective features at the nanoscale. However, the quality of nano-fabrication, particularly the critical dimension, is significantly influenced by various SPL fabrication techniques and their corresponding process parameters. Meanwhile, the identification and measurement of nano-fabrication features are very time-consuming and subjective. To tackle these challenges, we propose a novel framework for process parameter optimization and feature segmentation of SPL via machine learning (ML). Different from traditional SPL techniques that rely on manual labeling-based experimental methods, the proposed framework intelligently extracts reliable and global information for statistical analysis to fine-tune and optimize process parameters. Based on the proposed framework, we realized the processing of smaller critical dimensions through the optimization of process parameters, and performed direct-write nano-lithography on a large scale. Furthermore, data-driven feature extraction and analysis could potentially provide guidance for other characterization methods and fabrication quality optimization.

Super-resolution three-dimensional structured illumination profilometry for in situ measurement of femtosecond laser ablation morphology

Femtosecond laser ablation has found wide-ranging applications in the surface structuring of nanoelectronics and nanophotonics devices. Traditionally, the inspection of the fabricated three-dimensional (3D) morphology was performed using a scanning electron microscope or atomic force microscopy in an ex situ manner after processing was complete. To quickly monitor and efficiently optimize the quality of surface fabrication, we developed an in situ method to accurately reconstruct the 3D morphology of surface micro-structures. This method is based on a triangulation optical system that utilizes structured illumination. The approach offers a super-resolution capacity, making it a powerful and non-invasive tool for quick in situ monitoring of surface ablation structures.

3D-printed triaxial nozzles fabricated by stereolithography to prevent backflow in soft matter biofabrication

Three-dimensional (3D) bioprinting has a significant influence on tissue engineering by virtue of its capacity to produce complicated structures with complex geometries that are challenging to recreate using conventional manufacturing methods. However, the nozzle design and fabrication remain a limitation within extrusion-based 3D bioprinting, restricting and compromising the overall potential of this technology. The proposed nozzle design combines three Luer-Lok compatible inlets and an outlet within the printed body, eliminating manual assembly and enhancing fabrication consistency and quality. Furthermore, a finite element analysis of the fluid flow in the nozzle demonstrated the effectiveness of the nozzle to minimize backflow, in comparison with a traditional nozzle design. The tetrameric IIZK (Ac-Ile-IIe-Cha-Lys-NH2) and IIFK (Ac-Ile-IIe-Phe-Lys-NH2) peptide bioinks were used to 3D-print a variety of 3D scaffolds of varying complexity, with good resolution and gel continuity. Our work successfully demonstrated the fabrication of a novel design and its potential, and by means of 3D bioprinting, we assessed the biocompatibility and cell viability of the cell-laden constructs. This study highlights the capability of the novel design, which aids the field of tissue engineering, allowing 3D extrusion-based bioprinting to be utilized in the production of cell-incorporated constructions or scaffolds.