Journal articles on the topic 'Textile industry Automation'

With technical means of continuous improvement and the widespread use of information technology,automatic control technology are constantly generated and development in textile machinery. The larger of the textile machinery manufacturing industry and the wider the range of products produced, the higher the internal automation technology and information technology and more automation products. This paper analyzes the means of automation technology, Dong-guan textile industry machinery used in the automation and control technology and automation control technology trends preliminary summary, and the paper also discusses the technical updates on our inspiration..

Für die mittelständisch geprägte Textilbranche ist eine am Kosten-Nutzen-Verhältnis orientierte Investitionstätigkeit im Zuge der Transformation zur Industrie 4.0 unverzichtbar. Der Fachbeitrag beschreibt zunächst Charakteristika der textilen Wertschöpfungskette im Bereich der Weberei und zeigt in diesem Kontext die zunehmende Bedeutung der operativen Planung auf. Ergebnis sind konkrete nutzenorientierte Ansätze für Investitionen in den Bereichen Digitalisierung sowie Automatisierung.   It is vital for the medium-sized characterized textile industry to focus investment activity on the cost-benefit ratio when transforming for Industry 4.0. This article works out the characteristics of the textile value chain concerning weaving and how planning quality at the operational level affects concrete examples. On this basis, concrete proposals for investments in digitization and automation are deduced and their value benefits highlighted.

Indonesia’s textile industry has been successfully being the fifth ranked textile product exporter country by contributed Gross Domestic Bruto (GDP) which is 9% in non-oil industry. As the rapid development of technology, its encouraging textile industry to be able to implement it into the production process, its automation system regarding can improve the productivity. PT. Buana Intan Gemilang is one of textile industry which manufactures greige, sajadah, and curtains fabric within various pattern. Increasing demand regarding pattern therefore company should intensify productivity of machine, operator, and system in order to produce pattern card called jacquard card in thousand amounts. The Problem statement which showed is the manufacturing process is still manual rely on recur the operator’s activities, inconsistent cycle time that occurs on incapacity production target. Automation system design on punching machine using a Programmable Logic Controller (PLC) as the primary controller with using User Requirement Spesification (URS) for providing the solution in designing automated system implemented to solve the problem. According to conducted research it can be conclude that, automation system design for jacquard on punching machine at PT.Buana Intan Gemilang has been accomplished and decrease the cycle time around 10 seconds/card. By using automation system on jacquard card production is expected to increase the production capacity and eliminate the workload of operator therefore offer benefit and productivity of company.

Continuous development and automation has improved the production of Indian textile industry. As a result, more and more raw materials demands have adversely affect the environment. In this study the effects of Indian textile industry on environment and human health are reviewed and concluded that textile mechanical process mainly affects the environment of the workplace by the way of producing heavy noise and cotton dust. While fiber formation and chemical processing has vast negative impact on outside world that pollutes land, water, air and emits hazardous byproduct which indirectly promotes acid rain and global warming.

Purpose – Fabric defects detection is vital in the automation of textile industry. The purpose of this paper is to develop and implement a new fabric defects detection method based on adaptive wavelet. Design/methodology/approach – Fabric defects can be regarded as the abrupt features of textile images with uniform background textures. Wavelets have compact support and can represent these textures. When there is an abrupt feature existed, the response is totally different with the response of the background textures, so wavelets can detect these abrupt features. This method designs the appropriate wavelet bases for different fabric images adaptively. The defects can be detected accurately. Findings – The proposed method achieves accurate detection of fabric defects. The experimental results suggest that the approach is effective. Originality/value – This paper develops an appropriate method to design wavelet filter coefficients for detecting fabric defects, which is called adaptive wavelet. And it is helpful to realize the automation of textile industry.

In order to improve the level of production management and information development of textile industry, firstly the paper analyzed the hardware and software structure of jet loom monitoring system, then carried out related research on the information management of textile industry, introduced the related techniques, implemented the real-time monitoring and control based on CAN bus, data gathering and Winsock technology. The practice has proved that the loom network monitoring information system based on the industrial Ethernet has improved greatly the efficiency of production, and building network is simple, the development and maintenance are easy, and the performance is good and so on, which can provide better realistic instructions on realizing the standardization of communication, automation and information of the textile industry.

For the loom production management in textile enterprises is lack, and data collection of the looms production process need solve, then textile industry requires the automation of data management, then a card read-write facility has been developed based on USB. The paper introduces the process that Card uses the bus to read and write, and demonstrates the communication process between USB bus and personal computer. It is found that the communication method can obviously improve the speed of data gathering between computer and Card, which guarantees the reliability and stability of system.

SUMMARY Will new technologies cause industries to shed jobs, requiring novel policies to address mass unemployment? Sometimes productivity-enhancing technology increases industry employment instead. In manufacturing, jobs grew along with productivity for a century or more; only later did productivity gains bring declining employment. What changed? The elasticity of demand. Using data over two centuries for US textile, steel and auto industries, this paper shows that automation initially spurred job growth because demand was highly elastic. But demand later became satiated, leading to job losses. A simple model explains why this pattern might be common, suggesting that today’s technologies may cause some industries to decline and others to grow. Automation might not cause mass unemployment, but it may well require workers to make disruptive transitions to new industries, requiring new skills and occupations.

Rather than appearing full-blown in the 1970s, flexible production techniques were developed gradually in the Japanese automobile industry. After World War II, drawing on indigenous expertise derived from the cotton textile and aircraft industries, pioneering automakers Nissan and Toyota adapted Western-style automation technology, particularly transfer machines, to local conditions. In addition to building flexibility into as many aspects of this inherently inflexible technology as possible, manufacturers also worked to adapt labor and supplier relations to the needs of the new technology within the constraints of the local environment.

Although textile production is heavily automation-based, it is viewed as a virgin area with regard to Industry 4.0. When the developments are integrated into the textile sector, efficiency is expected to increase. When data mining and machine learning studies are examined in textile sector, it is seen that there is a lack of data sharing related to production process in enterprises because of commercial concerns and confidentiality. In this study, a method is presented about how to simulate a production process and how to make regression from the time series data with machine learning. The simulation has been prepared for the annual production plan, and the corresponding faults based on the information received from textile glove enterprise and production data have been obtained. Data set has been applied to various machine learning methods within the scope of supervised learning to compare the learning performances. The errors that occur in the production process have been created using random parameters in the simulation. In order to verify the hypothesis that the errors may be forecast, various machine learning algorithms have been trained using data set in the form of time series. The variable showing the number of faulty products could be forecast very successfully. When forecasting the faulty product parameter, the random forest algorithm has demonstrated the highest success. As these error values have given high accuracy even in a simulation that works with uniformly distributed random parameters, highly accurate forecasts can be made in real-life applications as well.

Automation of assembly operations throughout the textile industry requires the development and implementation of new quality monitoring systems. A beta-particle transmission gauge using a 90Sr source is investigated as a potential on-line seam inspection technique. The fundamentals of beta-particle transmission radio gauges are discussed in the context of their applicability to textile materials, and preliminary results are obtained with a laboratory prototype device. Unknown sample thicknesses for a variety of woven and knit fabrics are determined from the counting rate intensities of radiation transmitted through the fabric and the experimentally derived areal density. Single-fold knit hems and felled denim seams are evaluated by the gauge system. Results indicate that the number of layers present within the hem or seam can be rapidly and accurately determined to assess seam quality.

Purpose of the study: Lean manufacturing is perceived to be a significant competitive advantage of firms as it removes waste from manufacturing operations with innovations in products and processes. This research aims to know the impact of lean manufacturing practices of textile firms on their operational efficiency. Methodology: For this study, questionnaires were electronically sent to operation/ production managers of 122 textile firms using lean manufacturing technologies in Pakistan. Based on the literature review, nine lean manufacturing practices and five operational performance measures were included in the questionnaire survey. Just 91 operation managers replied, a response rate of 74%. Multiple regression analysis was performed to test the hypotheses of the study. Main findings: The results of regression analysis show that lean manufacturing practices significantly impact the operational performance of textile firms. The study's findings suggest that the involvement of customers, suppliers, and employees causes an increase in the operating performance of firms. Moreover, it is established that some lean manufacturing practices such as 5S, automation (Jidoka), Justin time (JIT), equipment layout, and continuous improvement (Kaizen) have a significant and positive effect on the operational performance of firms. Application of the study: The lean manufacturing practices save money for businesses and increases overall productivity by reducing waste. These are also helpful in increasing consumer loyalty and employee productivity. The study's results show that lean production methods can be adopted to improve operating performance and competitiveness. Originality/ Novelty: This study adds a piece of first-hand evidence by establishing a significant effect of lean manufacturing practices of firms on their operational performance in Pakistan, where most of the firms so far are using traditional techniques due to lack of financial resources.

Fabric defect detection is a crucial quality control step in the textile manufacturing industry. In this article, a machine vision system based on the Sylvester Matrix-Based Similarity Method (SMBSM) is proposed to automate the defect detection process. The algorithm involves six phases, namely, resolution matching, image enhancement using Histogram Specification and Median–Mean-Based Sub-Image-Clipped Histogram Equalization, image registration through alignment and hysteresis process, image subtraction, edge detection, and fault detection by means of the rank of the Sylvester matrix. The experimental results demonstrate that the proposed method is robust and yields an accuracy of 93.4%, a precision of 95.8%, and computational speed of 2275 ms.

Multi-robot System (MRS) for intelligent creel consists of automatic winder, transferring, transiting and supplying robot and provides the possibilities of the flexibility and automation of textile industry workshop. Based on the principle of centralized management and distributed control the system and designs distributed control system (DCS) of Multi-robot for intelligent creel based on CAN bus. Layered architecture is established consisting of main control layer, communication layer, synchronous coordination layer and execution layer. According to the complex characteristics of the system, a synchronous controller is designed to allocate and coordinate task,improving the intelligence of the system. Coordination controller also realizes function of CAN Bridge.

Textile and apparel manufacturing industry of India is second highest employment generator sector and largest contributor to India’s GDP. Unfortunately, it lacks behind in innovations and adoption of technology to meet the challenges. The basic problem remains as how to bring varied designs to market quickly with less efforts and cost. The adoption of CAD technology offering enormous benefits to apparel manufacturers in India. It makes quick and efficient revisions in apparel design changes including colour adjustments on fabric pattern and resizing garments. CAD system enable designers to produce more accurate designs with less chance of mistakes by saving cost and time. Its integration with CAM offers many advantages during manufacturing process and makes the apparel production faster with consistent and accurate results every time. As all information related to design and production are stored in file format, it makes very easy to produce the same design again without repetition of previous activities. The introduction of CAD technology in the industry resulted to improved efficiency of the design process due to automation of routine design tasks, increased employee productivity and shortened lead time in the product development process. This study highlights on adoption of CAD technology, limitations and its impact on business.

With the rise of labor costs and the advancement of automation in the textile industry, fabric defect detection has become a hot research field in recent years. We proposed a learning-based framework for automatic detection of fabric defects. Firstly, we use a fixed-size square slider to crop the original image to a certain step and regularity. Then an improved histogram equalization is used to enhance each cropped image. Furthermore, the Inception-V1 model is employed to predict the existence of defects in the local area. Finally, we apply the LeNet-5 model, which plays the role of a voting model, to recognize the type of the defect in the fabric. In brief, the proposed framework mainly consists of two steps, namely local defect prediction and global defect recognition. Experiments on the dataset have demonstrated the superior performance in fabric defect detection.

Picking clothing has always been a great challenge in laundry or textile industry automation, especially when some clothes are of the same colors, material and entangled with each other. In order to solve the problem, we present a grasp pose determination method to pick towels placed in a laundry basket or on a table. In our method, it is not needed to segment towels into independent items and the target towels are not necessarily distinguishable in color. The proposed algorithm firstly segments point clouds into several convex wrinkles, and then selects the appropriate grasp point on the candidate convex wrinkle. Moreover, we plan the grasp orientation with respect to the wrinkle which can effectively reduce the grasp failure caused by the inappropriate grasp direction. We evaluate our method on picking white towels and square towels, respectively, and achieved an average success rate of about 80%.

Recently, Internet of Things (IoT) and artificial intelligence (AI), led by machine learning and deep learning, have emerged as key technologies of the Fourth Industrial Revolution (4IR). In particular, object recognition technology using deep learning is currently being used in various fields, and thanks to the strong performance and potential of deep learning, many research groups and Information Technology (IT) companies are currently investing heavily in deep learning. The textile industry involves a lot of human resources in all processes, such as raw material collection, dyeing, processing, and sewing, and the wastage of resources and energy and increase in environmental pollution are caused by the short-term waste of clothing produced during these processes. Environmental pollution can be reduced to a great extent through the use of recycled clothing. In Korea, the utilization rate of recycled clothing is increasing, the amount of used clothing is high with the annual consumption being at $56.2 billion, but it is not properly utilized because of the manual recycling clothing collection system. It has several problems such as a closed workplace environment, workers’ health, rising labor costs, and low processing speed that make it difficult to apply the existing clothing recognition technology, classified by deformation and overlapping of clothing shapes, when transporting recycled clothing to the conveyor belt. In this study, I propose a recycled clothing classification system with IoT and AI using object recognition technology to the problems. The IoT device consists of Raspberry pi and a camera, and AI uses the transfer-learned AlexNet to classify different types of clothing. As a result of this study, it was confirmed that the types of recycled clothing using artificial intelligence could be predicted and accurate classification work could be performed instead of the experience and know-how of working workers in the clothing classification worksite, which is a closed space. This will lead to the innovative direction of the recycling clothing classification work that was performed by people in the existing working worker. In other words, it is expected that standardization of necessary processes, utilization of artificial intelligence, application of automation system, various cost reduction, and work efficiency improvement will be achieved.

Textile-and-garment industry is one of the largest economic sectors in Vietnam, with 4000 enterprises and a turnover of 20 billion USD/year. Therefore, designing and manufacturing are essential tasks for roll fabric cutting machines to serve the textile and garment industry. First of all, theoretical calculations are formulated for an automatic roll cutting machine. Then, simulations are conducted by a combination of MITcalc and Catia software. A prototype of a fabric cutting machine is manufactured and experiments are implemented. The experimental results show that the machine stably works and overcomes the disadvantages of the popular cutting machines with the core-free roll on the market. The results also found that the size tolerance is achieved about ± 0.5 mm, and this ensures good working quality. The designed machine has a significant contribution to the textile and garment area in decreasing the cost of the cutting process. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.

The process of moving goods from locations with the weakest rotation to those with high rotation in order to speed up the process of disposing of inventory in the entire retail network can be described as an assignment of goods. This process is particularly important in the textiles- based fashion industry, where external purchases for the retail network are often made once and the goods have shallow stocks. In order to optimise the stream of materials, the use of an integrated IT system is essential. Therefore, the main purpose of this publication is to show how IT solutions can be used to simplify the automation and optimisation of the process of generating proposals for goods reallocation within the retail network. The study covered selected companies from the textiles- based fashion industry.

The Draper Company's commitment to research and development was unparalleled among other nineteenth-century American manufacturers in older industries. This innovative drive, coupled with a strategy of patent defense and control, carried the firm to the top of the cotton textile machine industry by the end of the century. The company's 1907 decision to follow a less innovative path seemed sensible in light of its secure position in a volatile market, but the costs in long-term competitive strength were high.

<p>The first number of JARTE, one step forward.</p><p>It is difficult to find a single sector that is not agitated by the technological changes that are taking place. The development of Science and Technology is advancing by leaps and bounds, scientific discoveries along with the development of new products, new manufacturing techniques, improved communications, increasing industrial automation, among others are fundamental elements for economies worldwide to advance and develop better services that meet the needs of people.</p><p>The Alcoy Campus of the Polytechnic University of Valencia is committed to the great challenge of integration towards the knowledge society. New knowledge is being generated on the campus, obtaining numerous results in research and transfer projects, together with the development of practical applications in companies and industrial sectors in the areas of chemical, electrical, manufacturing, materials, mechanical and textile engineering. These results and knowledge need an agile channel to reach potentially interested companies and researchers. The central objective of this international journal is to provide a venue for the dissemination of high quality, cutting edge research and technological developments in engineering, targeting a wide audience ranging from academia to industry.</p><p>The production, exploitation and diffusion of knowledge are indispensable for the growth of society, that is why the journal JARTE becomes the appropriate alternative to publicize the projects developed both by the members of the Alcoy Campus and by any member of the scientific and industrial communities who wish to publicize their work.</p><p>JARTE journal intends to become a reference in the diffusion in the fields of engineering and technology. The journal has a policy of quality articles, based on peer review by experts in the field. Two issues will be published annually, the first one in January and the second one in July. The issues of JARTE will offer a selection of original articles with a broad vision of the latest trends in engineering and technology.</p><p>All articles published by JARTE are under the Creative Commons Attribution 4.0 International License in accordance with the framework proposed by the European Union. There is no charge for readers or authors due to institutional collaborations which promote open access papers in order to obtain widespread dissemination of the works.</p><p>Finally, I would like to thank all the researchers and colleagues who worked to make the JARTE project a successful reality, both those who worked to turn their research into articles and those who have collaborated in the development of the journal in tasks such as editing, peer review, planning and layout so that the works could be published, and I encourage them to continue in this arduous task of disseminating the knowledge developed.</p>

Abstract The 4th industrial revolution brings in a transformation of the traditional supply chain towards a digital supply chain. The machines will be able to use algorithms that will enable them to automate the supply chain formation process and to quickly react to disruptions. The current approach proposes a mechanism based on a message passing inference scheme in order to address the automated supply chain formation problem in a closed-loop supply chain by integrating forward and reverse supply chains. Forward supply chain imply a series of activities required to produce new products from virgin materials and distribute them to consumers while reverse supply chains require collecting used products from consumers and reprocessing them to either recover their leftover market values or dispose of them. It has become common for companies involved in a forward supply chain to also carry out collection and reprocessing of used products. Strict environmental regulations and diminishing raw material resources have intensified the importance of reverse supply chains at an increasing rate. The proposed mechanism is evaluated using two type of supply chain configurations from textile and automobile industry, demonstrating that automated integration of reverse supply chains along with forward supply chains, lead to benefits for the participants in the supply chain.

It is difficult to introduce highly versatile automation using robots to handling deformable objects such as thread, cloth, wire, long beams, and thin plates in plant production processes, compared to the handling of rigid objects. Office equipment handles deformable objects such as paper and plastic. Problems unique to these objects is caused by speeding up such equipment and demand for upgrading its accuracy. In agriculture and medical care, automatic, intelligent handling of deformable objects such as fruit and animals has long been desired and practical systems sought. Deformable objects whose handling should be versatiley and accurately automated are classified into two groups based on handling: (A) Flexible, mostly thin, fine objects capable of elastic deformation (B) Soft objects easily crushed, such as soft fruits or animals The problem in handling the first group is controlling object deformation of an infinite degree of freedom with a finite number of manipulated variables. In contrast, a significant problem in handling the second group is often how to handle them without exerting excessive stress and how to handle them safely and reliably. The handling of these two groups differ greatly in mechanics and control theory, and this special issue focuses on the first group — flexible objects — mechanical collection and transport studies, control, and software. Recent studies on their handling are classified into four groups for convenience based on handled objects and types of handling task: (a) Control of deformation, internal force, and vibration or path planning of flexible objects (mainly thin plates and beams) using single or multiple manipulators. (b) Task understanding in insertion of elastic into rigid parts and vice versa, and the study of human skills to help robots accomplish these task. (c) Approaches on improved accuracy, intelligent control, and vibration damping in handling and transfer of sheets and strings with low flexural rigidity, represented by paper or wire. (d) Strategies for grasping and unfolding sheets such as cloth whose flexural rigidity is almost nil. For (a), studies are active on deformation control by two robot hands attempting to grasp cloth. 1-3) In the automobile industry, so-called flexible fixtureless assembly systems are advancing in which two robots process or assemble parts in mid-air without a fixed table to reduce lead time and cost. These systems are mostly developed assuming handled parts are rigid. Nguyen et al. work assuming parts such as sheet metal whose deformation must be taken into consideration.1) Nakagaki et al. propose form estimation that considers even plastic deformation in wire handling by robots, in connection with the development of robots for electric wire installation.4) Many studies cover flexible wire as elastic beams,3-9) but comparatively few focus on bending deformation of thin plates. This special edition includes a paper by Kosuge et al. on thin-plate deformation control. Vibration control of grasped objects becomes important as speed increases. Matsuno kindly contributed his paper on optimum path planning in elastic plate handling. In controlling the deformation of elastic bodies, the mechanics of objects handled is often unknown. This special issue features a paper by Kojima et al. on an approach to this problem by adaptive feed-forward control. For (b), we consider three cases: (1) A cylindrical rigid body inserted into a hole on an elastic plate. (2) An elastic bar inserted into a hole on a rigid body. (3) A tubular elastic body put on a cylindrical rigid body. This special issue carries papers on these problems by Brata et al., Matsuno et al., and Hirai. For (2), a paper by Nakagaki et al.10) covers electric wire installation. For (3), the paper by Shima et al.11) covers insertion of a rigid axis into an elastic hose. Robot skill acquisition is an important issue in robotics in general, and the above papers should prove highly interesting and information because they treat studies by comparing robot and human skills in accomplishing work and acquiring concrete skills knowledge. For (c), attempts are made to theoretically analyze sheet handling mechanisms and control developed based on trial and error, and to structure design theory based on such analysis. These attempts are related to the increased accuracy and speed and enhanced intelligence of sheet-handling office automation equipment such as printers, facsimile machines, copiers, and automated teller machines. Yoshida et al. conducted a series of studies on the effects of guides forming paper feed paths and of inertia force of paper by approximating sheets with a chain of discrete masses and springs.12-14) This special edition also features a study on sheet sticking and jamming. Okuna et al. handles a system of similar nature, mechanical studying the form of paper guides.15) Introducing mechanisms to control the positioning of sheets is effective in raising sheet transfer accuracy. Feedback control that regulates feed roller skew angle as a manipulated variable is proposed.16) Increased reliability in separating single sheets from stacked effectively reduces the malfunction rate in sheet-handling equipment. Ways of optimizing the form of sheet-separation rollers17) and estimating frictional force between separation gates and sheets 18) are also proposed. This special issue contains a proposal by Nakazawa et al. of a mechanism that uses reactive sheet buckling force, made in connection with development of a newspaper page turner for the disabled as technology for separating single sheets. Dry frictional force is most widely used for transporting sheets, but is not stable and may even act as an obstacle to improving accuracy. Niino et al. propose a sheet transfer mechanism that uses electrostatic force.19) For improving the accuracy of flexible wire transmission, this special issue carries a study on transporting flexible thin wire through tension control at multiple points, from a study by Morimitsu et al. on optical fiber installation. The thickness of wire used in equipment is becoming increasingly slim and flexible, along with the equipment it is used in. Tension control in the production process is an important factor in the manufacture of such thin wire. Production efficiency constantly calls for increased transfer speed. It has thus become important to estimate air resistance and inertia and to measure and control the tension of running wire. Studies20,21) by Batra, Fraser, et al. which deal the motion of string in the spinning process provide good examples for learning analytical techniques for air drag and inertia. In string vibration where inertia dominates, attempts are made to control vibration by boundary shaking22,23) and feed-forward/back control.24) For (d), highly versatile robots for handling cloth are being developed, and the software technology for automatic cloth selection and unfolding by robot hands is a popular topic.25-27) Ono et al. comment on the nature of problems in developing intelligent systems for handling cloth and similar objects whose bending rigidity is low and which readily fold and overlap—a paper that will prove a good reference in basic approaches in this field. Mechanical analyses are indispensable to studies on (a) through (c). In contrast, information technology such as characteristic variable measurement, image processing, and discrimination, rather than mechanical analyses, play an important roles in studies on (d). This special issue features a study by Hamashima, Uraya et al. on cloth unfolding as an example of such studies. Studies up to now largely assumed that properties of grasped objects did not change environmental influences such as temperature and humidity. Such influence is often, however, a major factor in handling fiber thread and cloth. This special issue has a paper contributed by Taylor, who studies handling method to prevent influence by such environmental factors. The objective of this special issue will have been achieved if it aids those studying the handling of flexible objects by providing approaches and methodologies of researchers whose target objects differ and if it aids those planning to take up study in this field by providing a general view of this field. References: 1) Nguyen, W. and Mills, J., ""Multi-Robot Control For Plexible Fixtureless Assembly of Flexible Sheet Metal Auto Body Parts,"" Proceedings of the 1996 IEEE International Conference on Robotics and Automation, 2340-2345, (1996). 2) Sun, D. and Shi, X. and Liu, Y., ""Modeling and Cooperation of Two-Arm Robotic System Manipulating a Deformable Object,"" Proceedings of the 1996 IEEE International Conference on Robotics and Automation, 2346-2351, (1996). 3) Kosuge, K., Sakaki, M., Kanitani, K., Yoshida, H. and Fukuda, T., ""Manipulation of a Flexible Object by Dual Manipulators,"" IEEE International Conference on Robotics and Automation, 318-323, (1995). 4) Nakagaki, H., Kitagaki, K., Ogasawara, T. and Tukune H., ""Handling of a Flexible Wire -Detecting a Deformed Shape of the Wire by Vision and a Force Sensor,"" Annual Conference on Robotics and Mechatronics (ROBOMEC'96), 207-210, (1996). 5) Wakamatsu, H., Hirai, S. and Iwata, K., ""Static Analysis of Deformable Object Grasping Based on Bounded Force Closure,"" Trans. of JSML, 84-618 (C), 508-515, (1998). 6) Katoh, R. and Fujmoto, T., ""Study on Deformation of Elastic Object By Manipulator -Path Planning of End -Effector-,"" J. of the Robotics Society of Japan, 13-1, 157-160, (1995). 7) Yukawa, T., Uohiyama, M. and Inooka, M., ""Stability of Control System in Handling a Flexible Object by Rigid Arm Robots,"" JSME Annual Conference on Robotics and Mechatronics (ROBOMEC'95), 169-172, (1995). 8) Yukawa, T., Uohiyama, M. and Cbinata, G., ""Handling of a Vibrating Flexible Structure by a Robot,"" Trans. JSME, 61-583, 938-943, (1995). 9) Sun, D. and Liu, Y., ""Modeling and Impedance Control of a Two-Manipulator System Handling a Flexible Beam,"" Trans. of the ASME, 119, 736-742, (1997). 10) Nakagaki, H., Kitagaki, K. and Tukune, H., ""Contact Motion in Inserting a Flexible Wire into a Hole,"" Annual Conference on Robotics and Mechatronics (ROBOMEC'95), 175-178, (1995). 11) Shimaji, S., Brata, A. and Hattori, H., ""Robot Skill in Assembling a Cylinder into an Elastic Hose,"" Annual Conference on Robotics and Mechatronics (ROBOMEC'95), 752-755, (1995). 12) Yoshida, K. and Kawauchi, M., ""The Analysis of Deformation and Behavior of Flexible Materials (1st Reprt, Study of Spring-Mass Beam Model of the Sheet,"" Trans. of JSME, 58-552, 1474-1480, (1992). 13) Yoshida, K., ""Analysis of Deformation and Behavior of Flexible Materials (2nd Report, Static Analysis for Deformation of the Sheet in the Space Formed by Guide Plates),"" Trans. JSME, 60-570, 501-507, (1994). 14) Yoshida, K., ""Dynamic Analysis of Sheet Defofmation Using Spring-Mass-Beam Model,"" Trans. JSME, 63-615, 3926-3932 (1997). 15) Okuna, K., Nishigaito, T. and Shina, Y., ""Analysis of Paper Deformation Considering Guide Friction (Improvement of Paper Path for Paper-Feeding Mechanism),"" Trans. JSME, 60-575, 2279-2284, (1994). 16) Fujimura, H. and Ono, K., ""Analysis of Paper Motion Driven by Skew-Roll Paper Feeding System,"" Trans. JSME, 62-596, 1354-1360, (1996). 17) Shima, Y., Hattori, S., Kobayashi, Y. and Ukai, M., ""Optimum of Gate-Roller Shape in Paper Isolating Methods,"" Conference of Information, Intelligence and Precision Equipment (IIP'96), 61-62, (1996). 18) Suzuki, Y, Hattori, S., Shima, Y. and Ukai, M., ""Contact Analysis of Paper in Gate-Roller Handling Method"", Conference on Information, Intelligence and Precision Equipment (IIP'95), 19-20, (1995). 19) Niino, T., Egawa, S. and Higuchi, T., ""An Electrostatic Paper Feeder,"" J. of the Japan Society for Precision Engineering, 60-12,1761-1765, (1994). 20) Batra, S., Ghosh, T. and Zeidman, M., ""An Integrated Approach to Dynamic Analysis of the Ring Spinning Process , PartII: With Air Drag,"" Textile Research Journal, 59, 416-424, (1989). 21) Fraser, W., Ghosh, T. and Batra, S., ""On Unwinding Yarn from a Cylindrical Package,"" Proceedings of Royal Society of London, A, 436, 479-438, (1992). 22) Jacob, S., ""Control of Vibrating String Using Impedance Matching,"" Proceedings of the American Control Conference (San Francisco),468-472, (1993). 23) Lee, S. and Mote, C., ""Vibration Control of an Axially Moving String by Boundary Control,"" Trans. of the ASME, J. of Dynamic Systems, Measurement, and Control, 118, 66-74, (1996). 24) Ying, S. and Tan, C., ""Active Vibration Control of the Axially Moving String Using Space Feedforward and Feedback Controllers,"" Trans. ASME, J. of Vibration and Acoustics, 118, 306-312, (1996). 25) Ono, E., Ichijo, H. and Aisaka, N., ""Flexible Robotic Hand for Handling Fabric Pieces in Garment Manufacture,"" International Journal of Clothing Science and Technology, 4-5,18-23, (1992). 26) Paraschidis, K., Fahantidis, N, Petridis, V., Doulgeri, Z., Petrou, L. and Hasapis, G, ""A Robotic System for Handling Textile and Non Rigid Flat Materials,"" Computers in Industry, 26, 303-313, (1995). 27) Fahantidis, N., Paraschidis, K, Petridis, V., Doulgeri, Z., Petrou, L. and Hasapis, G., ""Robot Handling of Flat Textile Materials,"" IEEE Robotics & Automation Magazine, 4-1, 34-41, (1997).

The expansion of the electronic industry and the extensive use of electronic equipment in communications, computations, automations, biomedicine, space, and other purposes have led to problems such as electromagnetic interference of electronic devices and health issues. For reasons given above, a demand for protection of human being, sensitive electronic and electrotechnic appliances against undesirable influence electromagnetic signals and troublesome charges raised. This paper presents the present state of a fabrication and characterization of multifunctional metal hybrid fabrics with increased resistivity to electromagnetic smog at conserving basic properties of textile structures designated for clothing purposes. The parameters influencing electromagnetic (EM) shielding properties of the hybrid fabrics were investigated. It was shown that the EM shielding effectiveness of the fabrics could be tailored by modifying the metal content, metal grid size and geometry. Furthermore, correlation between electrical properties and EM shielding effectiveness and comfort properties was studied.

The development of advanced materials is increasingly leading to integration of functions into materials and components. This drive in technological innovation is strongly felt in many traditional fields, like textiles or ceramics. Over the last twenty years, the so-called "traditional" ceramics industry for tile production has undergone a profound technological reorganization, both in production technologies and automation of the different production phases, but new products and possible new applications are still needed, thereby opening up new markets. In this paper a critical review of the industrial and scientific effort to obtain antibacterial and self-cleaning coating for ceramic tiles is reported. The main patents and scientific papers in the field are reported as well as some final results obtained by the authors on the evaluation of the durability of photocatalytic coating deposited on industrial ceramic tiles.

Purpose Most researchers have neglected the effect air-drag force on yarn tension during rotor spinning. This paper aims to study the effect of rotor air-vacuum pressure in conjunction with opening roller speed and yarn linear density on the yarn tension generated during the rotor spinning, which has established their significant influences on both the mean and the peak tension.This is the first of one-of-a-kind experimental study being reported to demonstrate the influence of air-drag force on yarn tension during the rotor spinning under dynamic condition. Design/methodology/approach The dynamic measurements on yarn tension at the exit of the doffing tube were carried out by using an electronic capacitive yarn tension meter during rotor spinning. The derived experimental data were fitted into equations to construct the response equations and to work out the coefficients of multiple correlation between the data and the predicted equation for both the mean and the peak tension. Various surface plots were constructed by using those response surface equations, so as to study the effect of variables on yarn tension generated during the rotor spinning. Findings The study has established that the rotor vacuum is responsible in causing a change in yarn tension, it increases with the decrease in air-vacuum inside the rotor. The involvement of the opening roller speed in altering yarn tension during rotor spinning has been proved. As the opening roller speed changes, so does the air stream surrounding the opening roller speed with consequent alteration of the centrifugal force generated due to the rotation of the rotor. The centrifugal force and, hence, the yarn tension generated in the rotor will be simultaneously affected by both the rotor relative vacuum and the opening roller speed. Research limitations/implications This is a structured experimental study to verify the influence of air-drag force generated during rotor spinning on yarn tension. Very limited theoretical work has been carried out in this direction as reported in the introductory part of the paper. The result of the present study will encourage future researchers to revisit the theory on generation of air-drag force during rotor spinning and work out a new formula. Practical implications Next only to the conventional ring spinning system, the rotor spinning holds the second place in the share of global yarn production. Because of its advantage of lower cost of production and amenability to automation, the rotor spinning has gained acceptance in spun yarn production, particularly for spinning coarse and medium counts of yarns. Currently, it has acquired about 25 per cent share in the world’s spun yarn production. As many of the rotor machine variables significantly affect fibre configurations and, subsequently, the yarn properties by influencing the airflow characteristics inside the rotor unit, the study of yarn tension during rotor spinning and its analysis assumes a significance. Social implications Rotor spinning is a relatively new and faster method of conversion of discrete fibres into continuous staple yarn and, subsequently, various textiles and garments. Its yarn is distinct and a bit different compared to the conventional ring yarn. It has got wide acceptance in the market and fashion. As such, the spinning sector that converts fibres into yarns is an important industry world over, providing employment to many. Besides, being the basic operation in the fibre value chain, it supports many downstream activities, including human clothing and fashion. Thus, the research on rotor spinning, particularly the yarn engineering to produce better products will be helpful to strengthen and grow the textile value chain. Originality/value This is an original research study. The magnitude and the direction of the air drag on the yarn during rotor spinning is very difficult to assess. Thus, most researchers for the sake of simplicity in analysis have neglected its effect on yarn dynamics, but a few of them have taken note of it in their theoretical propositions. However, no experimental result has been reported so far in the literature, supporting the influence of such air-drag force on yarn tension in the rotor spinning. In fact, none of the above studies have considered the induced effect of centrifugal force caused because of the rotation of the opening roller on the airstream that flows from the transfer channel inlet into the rotor because of its partial vacuum, causing consequential effects on air-drag force and tension in the yarn inside the rotating rotor. This is the first of one-of-a-kind experimental study being reported to demonstrate the influence of air-drag force on yarn tension during the rotor spinning under dynamic condition.

Due to the growing usage of industrial textiles (e.g. glass fiber, carbon fiber, aramid fiber) production sites in the automotive, aerospace, defense and wind power industry are equipped with automatic knife cutting systems. Energy efficient cutting is necessary to manufacture high quality and cost-competitive lightweight products. Therefore, the energy consumption of an automatic knife cutting system was analyzed in this paper using a flexible energy metering equipment. Based on the results different technical measures to reduce the energy consumption were developed and assessed for their economic viability.Total energy saving potentials of up to 29.1% were identified. Yet, the example of the automatic knife cutting system also showed that the energy saving potentials and the economic viability of their implementation do not always correlate.

Electroflocculation is a technique for liquid effluent treatment that has been widely used due to simplicity in operation and to the possibility of application in different types of effluents. This study aimed to evaluate the electroflocculation treatment efficiency, monitoring and controlling an effluent automatically from the textile industry, also considering a feasibility study to photovoltaic generation application. The electrofloculation tests were performed with raw effluent, in a batch reactor containing aluminum electrodes and glass vat. Sensors and a microcontroller make up the electronic system, which monitors and controls voltage, temperature, and time variables and also processes and sends the data to the computer. The tests consist of applying 1 and 2A current in a 3 liters volume taking aliquots in 5, 10, 15 min. The parameters analyzed were: pH, conductivity, turbidity, Chemical Oxygen Demand, and absorbance sweep in 200 to 800 nm range. The samples presented in the visible region a band with the maximum absorbance at 670nm; thus, it was decided to evaluate the system at this wavelength. The results of the electroflocculation tests showed that the best removal of turbidity, COD, and absorbance at 670nm occurred in the conditions of 2A / 10min, with average efficiency above 70%. A photovoltaic system was projected to meeting the demand for the energy electroflocculation system, whose analysis found that the best strategy is connecting the photovoltaic system to the electric power grid. Through financial simulation, It was identified as a significant energy-saving which offsets costs related to system installation. in conclusion, the system developed is efficient in textile effluent treatment and that the photovoltaic system meets the demand for energy from the electroflocculation system, ensuring project sustainability.

For Many years, the application of automation has resulted in significant benefits to industrial world. High levels of consistency and precision in work pieces and high levels of repeatability and accuracy in manufacturing equipment have been required. Economic Justification can be shown only for large quantities of production. To achieve this, we need adaptive manipulation systems having some robotics mechanisms. Robotics is no longer a restricted field; it is a universal subject! As a result, the application of robotics in the industrial world as well as the textile industry has resulted in significant benefits. Application of robotics in textile industry is directed at minimizing human efforts in labour-intensive processes. Today automation in textile industry is often to be synonymous with Robotics. Since computer plays a key role in robotics, the word robot has a specific meaning and it has an emphasis in industry specially related to textiles.

Electrochemical technologies are a promising alternative for the treatment of wastewaters containing organic pollutants. The main advantages of these processes include environmental compatibility, versatility, energy efficiency, safety, selectivity, amenability to automation and cost effectiveness. However, the effectiveness of the electrochemical approaches depends strongly on electrode materials and cell parameters (mass transport, current density, water composition, etc.). Then, the use of high performance anodic materials can achieve high efficiency and lower the operating cost. Therefore, several research groups are recently studying the applicability of the electrochemical technologies for treating real domestic and industrial effluents, with the aim of that a diversification of techniques must be sought, adapting the treatment to each situation, as much as possible. In this context, this paper presents an overview of the application of electrochemical technologies to treat industrial effluents in the northeastern region of Brazil, emphasizing the use of direct and indirect electrochemical oxidation processes as an alternative to pollution abatement of effluents generated by textile and petrochemical industries.

Purpose This study aims to investigate the hierarchical relationship between industry-specific attributes of supply chain (SC) strategies and information technology (IT) to improve the performance of firms in textile industry in Pakistan. Design/methodology/approach This study presents a mix of enablers through literature review and experts’ opinions. Next, the driving and dependence powers of enablers were identified, using the interpretive structural modeling (ISM) approach. Findings The ISM model suggests eight levels, with customer satisfaction at the top of the model. Process automation and TQM are placed at second and third level, respectively, whereas flexible sourcing and flexible capacity are positioned at fourth level. The key enablers of IT have high driving power, hence positioned at the bottom of ISM model. Originality/value This study has value for firms in garment manufacturing and exporting industry to invest into IT and sustainable SC design for competitive performance. The theoretical and managerial implications are provided.

Purpose In 1978, the once powerful US apparel industry was on the cusp of change, and the consulting firm KSA conducted a Delphi survey of apparel executives’ predictions into the 2000s. The purpose of this paper is to compare actual changes over the subsequent decades with these 1978 expert predictions and explore the accuracy/inaccuracy of these “educated guesses” (KSA, 1978, p. 1). Design/methodology/approach The chorographic method was used to analyze the report and document historical data. Chorography is “concerned with significance of place, regional characterization, [and] local history […]” (Rohl, 2012, p.1) and includes contextual settings and researcher input. Primary data were examined during each decade and included: industry literature, government documents and labor data. The researchers used content analysis to reduce and organize data. Findings Findings cover three decades of Southeast US apparel industry data including imports, employment, number of plants, size of plants and productivity. Predictions were inaccurate about imports, predicted to be minor in comparison with domestic production, which they actually surpassed. Predicted decrease in employment was similar to actual decrease but reasons were inaccurate. Change in number and size of plants were over-predicted and under-predicted. Reasons given by experts were automation and government intervention; in actuality, limited automation occurred with insignificant impact in contrast to outsourcing, which decimated employment in US plants. Steady increase in productivity was predicted when productivity often decreased. Originality/value Previous studies focus on the textile sector; studies of the apparel sector tend to be regional or topical. This study is more expansive and provides insight into predictions and changes made in the US apparel industry at a critical time in its near demise. With the current climate of global change and increased market uncertainty, insights from this study may provide direction for rethinking of the domestic apparel industry for the USA and other developed countries.

To improve the effectiveness of industrial robots in the textile and garment industry, it is necessary to expand the application range of electrostatic adsorption end effectors and solve the problem of automatically grasping and transferring fabrics during garment processing. Taking weft-knit fabric as an example, this paper begins by analyzing the factors that influence the electrostatic adsorption capacity, and then constructing an electrostatic adsorption capacity model based on the fabric characteristics. Next, the shape arrangement and structural parameters of the electrode plate are optimized by taking the electrostatic adsorption force model and maximizing the adsorption force per unit area. Finally, the adsorption effect of the electrostatic adsorption end effector is verified by simulation and experiment. The verification results show that the electrode with a comb-shaped arrangement and optimized structural parameters can adsorb clothing fabric well and meets the requirements of clothing automated production lines. This study provides a new method for solving the problem of automatically grasping and transferring fabrics and provides technical support for improving automation in the garment industry.

In this paper we can employ automatic garment size measuring in textile industry. Textile industry is necessary and wants to be advanced in manufacturing of garments without defects. So that measuring the sizes of garments in industry is still a manual process which affects the precision of measurement. Hence the development of machine vision in image processing technology is used. To improve the automatic measurement a switching median filter is used. It remove the noises in the images. After that boundarylocalization algorithm is used to detect the boundaries of the garment. Then K-means clustering algorithm based edge detection helps to measure the number of pixels occupied in the garment and size of garment is measured from the count of pixels. This garment size measurement is implemented in MATLAB 2014a.

It is a global challenge in the textile and apparel industry to grasp and separate fabric pieces automatically using mechanical devices. This paper summarized studies on grasping a textile cutting piece by different principles and mechanical systems, and focused on bionic soft fingers made of silica gel. In the study, we first tested single-point grasping to explore the factors that influence the grasping effects of soft fingers, and found that (a) the grasping margin is a crucial factor that influences the effect of grasping, (b) the sides and the directions of a piece play important roles in grasping, and a reverse side and a vertical direction often bring better results of grasping, and (c) although the opening distance of a soft finger is significant to the result of grasping, successful grasping is a joint result of the grasping margin and the opening distance. We then experimented with the arrangement of soft fingers, and discovered that (a) the shape and the area of a cut piece are the determinants for the number of soft fingers that have to be used, (b) a soft finger is needed at the intersections of a piece to guarantee unfolded grasping and transferring, and (c) the number of soft fingers to be used for a specific grasping task can be estimated after major factors are determined. The conclusion we proposed is easy to understand and is convenient for training or application in an industrial production. In the future, it is expected to be applied to the intelligent production of clothing.