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Relevant bibliographies by topics / Textile industry Automation

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Academic literature on the topic 'Textile industry Automation'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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Journal articles on the topic "Textile industry Automation"

1

Li, Long Gen. "The Research on NC Evolution and Prospects of Textile Machinery in Dong-Guan." Applied Mechanics and Materials 416-417 (September 2013): 743–47. http://dx.doi.org/10.4028/www.scientific.net/amm.416-417.743.

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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..

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Papoutsidakis, Michail, Dimitrios Piromalis, and Georgios Priniotakis. "ADVANCED AUTOMATION IN TEXTILE INDUSTRY PRODUCTION LINES." International Journal of Engineering Applied Sciences and Technology 04, no. 05 (October 1, 2019): 504–7. http://dx.doi.org/10.33564/ijeast.2019.v04i05.073.

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Clauß, M., N. Göhlert, M. Bojko, and E. Prof Müller. "Weberei 4.0*/Weaving 4.0 - Competitive through smart planning." wt Werkstattstechnik online 107, no. 04 (2017): 261–65. http://dx.doi.org/10.37544/1436-4980-2017-04-65.

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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.

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Hakim, Luqman Abdul, and Rino Andias Anugraha. "Perancangan Sistem Otomasi Untuk Kartu Tekstil Jacquard Pada Mesin Punching Untuk Di PT Buana Intan Gemilang." Jurnal Rekayasa Sistem & Industri (JRSI) 4, no. 01 (July 19, 2017): 68. http://dx.doi.org/10.25124/jrsi.v4i01.249.

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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.

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Hasanuzzaman and Chandan Bhar. "Indian Textile Industry and Its Impact on the Environment and Health." International Journal of Information Systems in the Service Sector 8, no. 4 (October 2016): 33–46. http://dx.doi.org/10.4018/ijisss.2016100103.

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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.

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Wen, Zhijie, Junjie Cao, Xiuping Liu, and Shihui Ying. "Fabric defects detection using adaptive wavelets." International Journal of Clothing Science and Technology 26, no. 3 (May 27, 2014): 202–11. http://dx.doi.org/10.1108/ijcst-03-2013-0031.

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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.

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Li, Xin Qiang, Xian Hui Duan, Guo Dong Han, and Xu Ning Liu. "Design and Implementation of Jet Loom Network Monitoring Information System." Applied Mechanics and Materials 543-547 (March 2014): 1587–90. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.1587.

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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.

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Zhang, Gen Shan, Jie Zhu, and Wei Hua Chen. "Design and Implementation of Intelligent Card of Jet Loom." Applied Mechanics and Materials 380-384 (August 2013): 652–55. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.652.

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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.

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9

Bessen, James. "Automation and jobs: when technology boosts employment*." Economic Policy 34, no. 100 (October 1, 2019): 589–626. http://dx.doi.org/10.1093/epolic/eiaa001.

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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.

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10

Daito, Eisuke. "Automation and the Organization of Production in the Japanese Automobile Industry: Nissan and Toyota in the 1950s." Enterprise & Society 1, no. 1 (March 2000): 139–78. http://dx.doi.org/10.1017/s1467222700015627.

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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.

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Dissertations / Theses on the topic "Textile industry Automation"

1

Hashimura, Kanzunori. "Investigation of service-machine time requirements for automated yarn creeling." Thesis, Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/16731.

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Ward, P. T. "Visual inspection, its automation and application in the textile industry." Thesis, De Montfort University, 1986. http://hdl.handle.net/2086/10675.

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Lima, M. F. de A. G. de. "Automatic handling of knitted outwear garments." Thesis, Loughborough University, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383907.

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Tröger, Ralph. "Supply Chain Event Management – Bedarf, Systemarchitektur und Nutzen aus Perspektive fokaler Unternehmen der Modeindustrie." Doctoral thesis, Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-155014.

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Supply Chain Event Management (SCEM) bezeichnet eine Teildisziplin des Supply Chain Management und ist für Unternehmen ein Ansatzpunkt, durch frühzeitige Reaktion auf kritische Ausnahmeereignisse in der Wertschöpfungskette Logistikleistung und -kosten zu optimieren. Durch Rahmenbedingungen wie bspw. globale Logistikstrukturen, eine hohe Artikelvielfalt und volatile Geschäftsbeziehungen zählt die Modeindustrie zu den Branchen, die für kritische Störereignisse besonders anfällig ist. In diesem Sinne untersucht die vorliegende Dissertation nach einer Beleuchtung der wesentlichen Grundlagen zunächst, inwiefern es in der Modeindustrie tatsächlich einen Bedarf an SCEM-Systemen gibt. Anknüpfend daran zeigt sie nach einer Darstellung bisheriger SCEM-Architekturkonzepte Gestaltungsmöglichkeiten für eine Systemarchitektur auf, die auf den Designprinzipien der Serviceorientierung beruht. In diesem Rahmen erfolgt u. a. auch die Identifikation SCEM-relevanter Business Services. Die Vorzüge einer serviceorientierten Gestaltung werden detailliert anhand der EPCIS (EPC Information Services)-Spezifikation illustriert. Abgerundet wird die Arbeit durch eine Betrachtung der Nutzenpotenziale von SCEM-Systemen. Nach einer Darstellung von Ansätzen, welche zur Nutzenbestimmung infrage kommen, wird der Nutzen anhand eines Praxisbeispiels aufgezeigt und fließt zusammen mit den Ergebnissen einer Literaturrecherche in eine Konsolidierung von SCEM-Nutzeffekten. Hierbei wird auch beleuchtet, welche zusätzlichen Vorteile sich für Unternehmen durch eine serviceorientierte Architekturgestaltung bieten. In der Schlussbetrachtung werden die wesentlichen Erkenntnisse der Arbeit zusammengefasst und in einem Ausblick sowohl beleuchtet, welche Relevanz die Ergebnisse der Arbeit für die Bewältigung künftiger Herausforderungen innehaben als auch welche Anknüpfungspunkte sich für anschließende Forschungsarbeiten ergeben.

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Lai, Jian-Wang, and 賴建旺. "Improvement of Paper Tube Production Automation for Textile Industry: A Case Study of Chang Shouh Company." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/xama6n.

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碩士
亞洲大學
EMBA高階經理碩士在職學位學程
107
Due to the large expansion of factories in China and South Korea, the large-scale and low-price competition also cause large decline in the Taiwans textile industry total output value. In recent years, Taiwan’s manufacturers have made breakthroughs in differentiation, refinement and flexible customization, even apply innovative fibers and high quality development to improve product competitiveness. As the upstream of the textile industry chain, the chemical fiber industry has strong industrial relevance, while the paper tube industry (chemical fiber-specific paper tube) has rigorous requirements on product control, even temperature and pressure will be paper tube quality’s uncertainties. This study collected the literatures such as "SWOT analysis" and "automation" and selects Changshuo Co., Ltd. as a research case, then gather various materials to explore how to use industrial automation to improve the efficiency and quality of the production supply chain. In order to achieve customers diverse needs, quantity and refinement, the case company use automation to complete semi-finished storage racks and automatic cutting tables’ combine and a combination of coilers and automatic ovens. Thus, customer needs, quality, reduce manpower and energy costs may achieve at the same time.

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Jordaan, Jacoba Frederica. "Rekenaarvisie in die tekstielbedryf." Thesis, 2012. http://hdl.handle.net/10210/7345.

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M.A.
This dissertation comprises an in-depth investigation into the domain of computer vision, with specific reference to the textile industry. The study consists of three main sections. In the first section, the computer-vision process is scrutinised in its entirety. Attention is given in this regard to what computer vision is, where it originated from, how it compares with human vision and what the motivations are for its implementation. Following, the computer-vision process is divided into four main components, namely image acquisition, image processing, image analysis and image interpretation. Subsequently, each component is discussed in greater detail, as well as aspects such as the hardware used in the course of the process, the algorithms that are implemented and the specific applications used for the process of analysis. In the second section, the focus is shifted to the textile industry, where our main focus lies. In this regard, examples are examined of the successful implementation of computer-vision technologies in the textile industry. In the third section, an investigation is launched into the specific problem for which a solution needs to be found in the present study, namely to determine whether computer vision constitutes a cost-effective way in which to locate broken thread during the spinning process. A wide range of algorithms has been applied for this purpose, whereafter the results of these experiments are announced.

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Books on the topic "Textile industry Automation"

1

Vassiliadis, S. G. Automation and the textile industry. Guimares: EUROTEX, 1996.

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NATO, Advanced Study Institute on Advancements and Applications of Mechatronics Design in Textile Engineering Side 1992 Antalya Turkey). Mechatronic design in textile engineering. Dordrecht: Kluwer Academic Publishers, 1995.

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3

Ward, P. Tamar. Visual inspection: Its automation and application in the textile industry. Leicester: Leicester Polytechnic, 1986.

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4

Wilke, Kai. Warenwirtschaftssysteme im Textileinzelhandel: Konzeptionelle Ansätze zur Gestaltung warenwirtschaftlicher Informationssysteme unter besonderer Berücksichtigung der Einkaufsplanung. Münster: Lit, 1989.

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5

Vsesoi͡uznai͡a, nauchno-prakticheskai͡a konferent͡sii͡a Problemy sozdanii͡a avtomatizirovannykh tekstilʹnykh predprii͡atiĭ (1990 Moscow R. S. F. S. R. ?). Materialy Vsesoi͡uznoĭ nauchno-prakticheskoĭ konferent͡sii Problemy sozdanii͡a avtomatizirovannykh tekstilʹnykh predprii͡atiĭ: 26-28 senti͡abri͡a 1990 goda. Moskva: [s.n.], 1990.

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6

Khavkin, V. P. Robotizat͡s︡ii͡a︡ tekhnologicheskogo oborudovanii͡a︡ legkoĭ promyshlennosti. Moskva: Legprombytizdat, 1987.

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7

Walter, Lutz, George-Alexander Kartsounis, and Stefano Carosio. Transforming clothing production into a demand-driven, knowledge-based, high-tech industry: The leapfrog paradigm. New York: Springer, 2009.

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8

Mousa, Mohamed Abass Zaghloul. Entwicklung einer CIM-Struktur für Textilbetriebe in Entwicklungsländern. München: C. Hanser, 1990.

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9

Baril, Diane. Nouvelles technologies, contrôle de la force de travail et autonomie des salariés: Étude empirique dans l'industrie textile. Laval: Département des Realtions Industrielles, Université Laval, 1992.

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Baril, Diane. Nouvelles technologies, contrôle de la force de travail et autonomie des salariés: Étude empirique dans l'industrie textile. Sainte-Foy, Québec, Canada: Département des relations industrielles, Université Laval, 1992.

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Book chapters on the topic "Textile industry Automation"

1

Bolz, Roger W. "2C Industry Applications Textile Automation." In Manufacturing Automation Management, 34–36. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2541-3_7.

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Lopera, Olga Lucía Lopera, and Juan Velez-Ocampo. "Automation Adoption in the Textile Industry of an Emerging Economy." In The Palgrave Handbook of Corporate Sustainability in the Digital Era, 55–73. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42412-1_3.

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Choudhury, Dilip k., and Sujata Dash. "Defect Detection of Fabrics by Grey-Level Co-Occurrence Matrix and Artificial Neural Network." In Advances in Computational Intelligence and Robotics, 285–97. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2857-9.ch014.

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The class of Textiles produced from terephthalic acid and ethylene glycol by condensation polymerization has many end-uses for example these are used as filter fabric in railway track to prevent soil erosion, in cement industry these are used in boiler department as filter fabric to prevent the fly-ash from mixing in the atmosphere. Presently, the quality checking is done by the human in the naked eye. The automation of quality check of the non-Newtonian fabric can be termed as Image Analysis or texture analysis problem. A Simulation study was carried out by the process of Image Analysis which consists of two steps the former is feature extraction and the later part is recognition. Various techniques or tools that are presently studied in research for texture feature extraction are Grey level co-occurrence matrix(GLCM), Markov Random Field, Gabor filter. A GLCM matrix with 28 Haralick features were taken as input for this chapter.

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Linke, M., C. Greb, J. Klingele, A. Schnabel, and T. Gries. "Automating textile preforming technology for mass production of fibre-reinforced polymer (FRP) composites." In The Global Textile and Clothing Industry, 171–95. Elsevier, 2012. http://dx.doi.org/10.1533/9780857095626.171.

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Gordon, Robert B., and Patrick M. Malone. "Work in Factories." In The Texture of Industry. Oxford University Press, 1994. http://dx.doi.org/10.1093/oso/9780195058857.003.0016.

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Factories, and the factory system, are at the heart of the American industrial experience. Since the 1790s, Americans have developed many different types of factories and varieties of work within each of them. It is a terrible mistake to think of factory workers as simply automatons who do some type of mindless, repetitive task, day in and day out. The average American has never been in a factory and knows very little about what actually goes on there. Typically, there are dozens of employee classifications in one of these highly organized and hierarchical workplaces. A person employed in a factory might be a sweeper, vatman, machine operator, machine fixer, machinist, toolmaker, millwright, stockroom supplier, shipper, overseer, foreman, draftsman, electrician, or engineer. Machine operation, only one form of factory work, requires widely varying levels of skill, depending on the type of machine and the pace of production. Some jobs are routine and undemanding, but others challenge the intellect and manual dexterity of even the most skilled and experienced employees. There are tasks to be performed by one person as well as group activities that require extensive social interaction. The work culture of the factory is, and has always been, far more complex and dynamic than an organizational chart would imply. Although factory work frequently included operations done by hand and processes that did not require any motive power, all true factories used some power-driven machinery. Mechanization was a key element in the development of the factory system. Additionally, the owners of many factories followed the principle of uniformity, aiming to make standardized products from parts that were, to some degree, interchangeable. The first American factories, as we have seen in Chapter 8, were textile mills; but soon after Americans began to make yarn in places like the Slater Mill, they were also shifting the manufacture of products such as clocks, firearms, and edge tools from craft shops to factories. In the 1790s, Samuel Slater’s youthful operatives tended a sequence of special-purpose machines powered by a waterwheel.

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Dubey, Shiv Ram, and Anand Singh Jalal. "Automatic Fruit Disease Classification Using Images." In Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies, 82–100. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6030-4.ch005.

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Diseases in fruit cause devastating problems in economic losses and production in the agricultural industry worldwide. In this chapter, a method to detect and classify fruit diseases automatically is proposed and experimentally validated. The image processing-based proposed approach is composed of the following main steps: in the first step K-Means clustering technique is used for the defect segmentation, in the second step some color and texture features are extracted from the segmented defected part, and finally diseases are classified into one of the classes by using a multi-class Support Vector Machine. The authors have considered diseases of apple as a test case and evaluated the approach for three types of apple diseases, namely apple scab, apple blotch, and apple rot, along with normal apples. The experimental results express that the proposed solution can significantly support accurate detection and automatic classification of fruit diseases. The classification accuracy for the proposed approach is achieved up to 93% using textural information and multi-class support vector machine.

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Conference papers on the topic "Textile industry Automation"

1

Hu, Xudong, Yanhong Yuan, and Weiping Shen. "Weaving Loom Integration in Textile Enterprise." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-41661.

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Weaving technique represents the development of textile industry. After 25 years of open gate and reform of industry construction, textile manufacturing in China has been developed to a higher level. China had imported many modern weaving machines from Italy, Switzerland, Belgium, Japan, and other countries. The domestic textile machine manufacturers and research institutes developed and manufactured many kinds of shuttleless looms. According to the statistical calculation, the total number of shuttleless looms is more than shuttle looms in use in China currently [1]. The wide use of the shuttleless loom demonstrates a strong technical support to the modernization of textile industry in China. These kind of shuttleless looms are equipped with advanced mechanisms like electronic let-off motion, electronic shedding motion, computer based monitoring, electronic dobby and jacquard machine. They are modern textile machines. Due to the labor denseness of the textile industry and unbalanced development of information technology (IT) in China, the manufacturing organization mode of textile is still old fashioned. Modern machines did not get the most economic and technical benefits. This situation was called “Automation Island”. In this paper, the author will describe his research in the integration of weaving machines through a local net. In the author’s project, which is being supported by the Natural Science Foundation of Zhejiang in China, a research team tries to reform the original computer-based loom controller. The required hardware modification and software programming was added. All looms of the workshop were linked to a central control computer through PROFIBUS to make a local net. Now weaving information of every single loom can be monitored through this central computer. Weaving machine integration is very important textile enterprises. There are a lot of applications using this technology. Web-based (mass customization, MC) customized produce is the future of advanced manufacture. An integrated workshop is a good platform for the enterprisers to expose their business to worldwide market. In this article, the author will discuss effort in this area, including experiments and results.

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2

Xue, Ming, and Changjun Zhu. "The Development and Implementation of Household Textile Industry ERP System Based on B/S." In 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009. IEEE, 2009. http://dx.doi.org/10.1109/case.2009.171.

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Jun Li, Qing Li, Jian Zhou, and Richard Martin. "Performance evaluation for Industrial Automation System Integration based on enterprise architecture standards and application in Cotton Textile Industry." In 2011 International Conference on System Science, Engineering Design and Manufacturing Informatization (ICSEM). IEEE, 2011. http://dx.doi.org/10.1109/icssem.2011.6081272.

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Kabir, Shabrina, Md Esrafil Hossain Riyad, Umama Tasnim Tanisha, Md Harunur Rashid Bhuiyan, Tarik Reza Toha, and Shaikh Md Mominul Alam. "Automatic Fire Monitoring System in Textile Industry." In 2020 11th International Conference on Electrical and Computer Engineering (ICECE). IEEE, 2020. http://dx.doi.org/10.1109/icece51571.2020.9393112.

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5

Thomas, Thierry, and Michel Cattoen. "Automatic inspection of simply patterned material in the textile industry." In IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, edited by Benjamin M. Dawson, Stephen S. Wilson, and Frederick Y. Wu. SPIE, 1994. http://dx.doi.org/10.1117/12.171200.

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6

Taur, Ke-Haur, Xiang-Yun Deng, Mi-Huo Chou, Jing-Wei Chen, Yi-Hsiu Lee, and Wen-June Wang. "A study on Machine Learning Approaches for Predicting and Analyzing the Drying Process in the Textile Industry." In 2019 International Automatic Control Conference (CACS). IEEE, 2019. http://dx.doi.org/10.1109/cacs47674.2019.9024364.

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Khan, Mohammad Badhruddouza, Pranto Soumik Saha, and Amit Dutta Roy. "Automatic Segmentation and Shape, Texture-based Analysis of Glioma Using Fully Convolutional Network." In 2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI). IEEE, 2021. http://dx.doi.org/10.1109/acmi53878.2021.9528282.

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Kimmer, C. J., and C. K. Harnett. "Combining Strings and Fibers With Additive Manufacturing Designs." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59569.

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High tensile strength cables, low-resistance motor windings, and shape memory actuators are common examples of technical fibers used in robots and other electromechanical assemblies. Because properties like tensile strength, crystal structure, and polymer alignment depend strongly on processing history, these materials cannot be 3D printed with the same properties they have on the spool. Strings and fibers are inserted in mechanical parts at the end of the manufacturing process for these assemblies. When the fibers take complex paths, the installation is often done by hand. This activity can dominate the process time, increase its human labor and reduce its social sustainability [1]. This paper applies the non-traditional approach of machine embroidery to insert sheets of patterned fibers in layered additive manufacturing processes such as 3D printing and lamination. Fibers are aligned with features in laser-cut or printed parts without the manual labor of hand threading. We demonstrate that water-soluble stabilizer materials originally designed for textiles can hold hard mechanical parts in a machine embroidery hoop with enough strength and rigidity to withstand sewing through pre-existing holes in the part. Alignment to within 250 microns has been demonstrated with a sub-$300 consumer embroidery machine. Case studies in this paper include a cable-driven mechanism, a soft-to-hard electronic connection, and an electromechanical sensor. Process-compatible and commercially available materials that can be embroidered include conductive threads, shrinking threads, water-soluble threads and high tensile strength fibers. The biggest hurdle for a user interested in this automated fiber installation process is linking the existing design file with an embroidery machine file. There is a much larger user base for 2D and 3D computer-assisted design (CAD) software than for expensive and proprietary embroidery digitizing software. We take the route chosen by the laser cutter industry, where the user produces a CAD file in their preferred editor, and makes annotations that communicate where and how densely to stitch. Translation software scans the file for a particular line style and generates stitch coordinates along it. Development is done in Jupyter/iPython notebooks that allow end-users to inspect, understand, and modify the conversion code. The intent is for users of existing planar fabrication technology (whether laser, printed circuit board, or micro/nano) to apply this method to their own CAD files for a versatile and straightforward way to put advanced materials in their devices without adding manual labor. This general approach can solve a class of assembly problems relevant to underactuated tendon-driven robotics and other electromechanical systems, expanding the range of devices that can be put together using automation.

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Deilamsalehy, Hanieh, Timothy C. Havens, and Pasi Lautala. "Sensor Fusion of Wayside Visible and Thermal Imagery for Rail Car Wheel and Bearing Damage Detection." In 2017 Joint Rail Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/jrc2017-2284.

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Two major components of rolling stock that are always of great interest when it comes to maintenance and safety related issues are car wheels and bearings. Rail car wheels are subjected to a variety of damage types due to their interaction with the track and brakes. It is important for the rail industry to detect these defects and take proper action at an early stage, before more damage can be caused to the train or possibly the track and to prevent possible safety hazards. Different inspection sensors and systems, such as wheel impact monitors, wheel profile detectors, hotbox detectors and acoustic detection technologies, are employed to detect different types of wheel and bearing defects. Usually no single sensor can accurately detect all kinds of damages and hence a combination of different sensors and systems and manual inspection by experts is used for wheel maintenance purposes and to guarantee train safety. The more complete and accurate the automatic defect detections are, the less manual examination is necessary, leading to potential savings in inspection time/resources and rail car maintenance costs. Wayside thermal and visible spectrum cameras are one option for the automatic wheel and bearing inspection. Each of these sensors has their own strengths and weaknesses. There are some types of defects that are not detectable at an early stage in the images taken by a vision camera, however these defects generate a distinctive heat pattern on the wheel or bearing that is clearly visible in the thermal imagery. On the other hand, other damages might be detectable from the visible spectrum image, but not necessarily have a distinguishable heat pattern in the thermal imagery. Since a thermal image is basically built of solely temperature data, it excludes other critical information, such as texture or color. This makes thermal and visible spectrum imagery complementary and if the images are fused the result will benefit from the strengths of both sensors. In this paper, wavelet decomposition is employed to extract the features of the thermal and vision imagery. Then the two images are merged based on their decompositions and a fused image is composed. The resulting fused image contains more information than each individual image and can be used as an input for image-based wheel and bearing defect detection algorithms. To verify the proposed method and to show an example of this application, it is demonstrated on a real data set from a Union Pacific rail line to identify sliding wheels.

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Reports on the topic "Textile industry Automation"

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Niebler, Rebecca. Abfallwirtschaftliche Geschäftsmodelle für Textilien in der Circular Economy. Sonderforschungsgruppe Institutionenanalyse, September 2020. http://dx.doi.org/10.46850/sofia.9783941627833.

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This master thesis explores the challenges for waste management business models in the field of textiles regarding the requirements of the circular economy, as well as improvement potentials in the current framework conditions. It is concerned with the research question: "Is it advisable to change the frame-work conditions at meso or macro level, with regard to business models for waste management companies in the textile sector that are oriented towards the requirements of the circular economy, and - if so - in what way?” The approach of the study is based on the delta analysis of the e Society for Institutional Analysis at the Darmstadt University of Applied Sciences. It compares the target state of the normative requirements with the actual state of the textile and waste management framework conditions and attempts to identify the gaps (the delta). Based on the delta, it develops approaches that are intended to help reduce the gaps. The thesis develops three business models for the target year 2025 in different areas: an exchange platform for sorters, recyclers and designers, an automatic sorting plant and a plant for fibre-to-fibre recycling of mixed materials. It is becoming clear that these business models cannot meet the target requirements for the circular economy. The analysis identifies the remaining gaps in the framework conditions as the main problem. For example, insufficient innovation impulses and the lack of competitiveness of secondary raw materials inhibit the actors from applying and using new technologies and business models. Restricted access to knowledge and information, as well as a lack of transparency between the actors, also prove to be problematic. In order to answer the research question, the study recommends altering the framework conditions at meso and macro level. It proposes a platform for cooperation between designers, the introduction of a material declaration system and an eco-design guideline for textiles as possible development options. In addition, this work offers a matrix of criteria to help the actors test and improve their new waste management business models regarding their suitability for the circular economy. The analysis is carried out from an outsider's perspective on the entire textile industry. It therefore cannot cover and deal with all aspects and individual circumstances of each player in detail. The necessary changes in the framework conditions that have been identified can therefore be used as a basis for further investigations.

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