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Artigos de revistas sobre o assunto "Textile industry – Classification"
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Hermawan, Iwan. "ANALYSIS OF THE IMPACT OF MACROECONOMIC POLICIES ON TEXTILE INDUSTRY AND ITS PRODUCTS IN INDONESIA". Buletin Ekonomi Moneter dan Perbankan 13, n.º 4 (28 de junho de 2011): 357–90. http://dx.doi.org/10.21098/bemp.v13i4.398.
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Textile and textile’s product play an important role in the Indonesian economy. During the last five years, however, share of these industries and commodities to gross domestic product tend to decrease. The objectives of this study are to analyze factors affecting Indonesian textile and textile’s product, and the prospect of Indonesian textile and textile’s product in the future. Results of the study show that domestic textile production was affected by world cotton price and wage rate, while the domestic garment production was affected by wage rate in the garment sector. Indonesia’s textile export to world market was influenced by domestic textile price, and Indonesia’s export garment was influenced by exchange rate (Rp/US$). Indonesian textile demand was affected by wage rate and domestic garment demand was affected by income per capita of Indonesia. In general, the prospect of Indonesian textile and textile’s product seems not too good. In fact, Indonesian textile and textile’s product had depended on high import cotton, investment, and exchange rate. So why, economy policies are still needed to accelerate Indonesian textile and textile’s product developmentJEL Classification: C53, E60, F43, and F4.Keywords: export, open economy, forecasting, simulation, textile and textile’s product.
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Harmsen, Paulien, Michiel Scheffer e Harriette Bos. "Textiles for Circular Fashion: The Logic behind Recycling Options". Sustainability 13, n.º 17 (30 de agosto de 2021): 9714. http://dx.doi.org/10.3390/su13179714.
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For the textile industry to become sustainable, knowledge of the origin and production of resources is an important theme. It is expected that recycled feedstock will form a significant part of future resources to be used. Textile recycling (especially post-consumer waste) is still in its infancy and will be a major challenge in the coming years. Three fundamental problems hamper a better understanding of the developments on textile recycling: the current classification of textile fibres (natural or manufactured) does not support textile recycling, there is no standard definition of textile recycling technologies, and there is a lack of clear communication about the technological progress (by industry and brands) and benefits of textile recycling from a consumer perspective. This may hamper the much-needed further development of textile recycling. This paper presents a new fibre classification based on chemical groups and bonds that form the backbone of the polymers of which the fibres are made and that impart characteristic properties to the fibres. In addition, a new classification of textile recycling was designed based on the polymer structure of the fibres. These methods make it possible to unravel the logic and preferred recycling routes for different fibres, thereby facilitating communication on recycling. We concluded that there are good recycling options for mono-material streams within the cellulose, polyamide and polyester groups. For blended textiles, the perspective is promising for fibre blends within a single polymer group, while combinations of different polymers may pose problems in recycling.
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Angelova, Yordanka, Silvija Mežinska e Lyubomir Lazov. "INNOVATIVE LASER TECHNOLOGY IN TEXTILE INDUSTRY: MARKING AND ENGRAVING". Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 3 (15 de junho de 2017): 15. http://dx.doi.org/10.17770/etr2017vol3.2610.
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The advent of laser technology in textiles industry has established a new innovative solution, which successfully prevents some of the weaknesses in the conventional technologies. Lasers are being used in Laser Marking (Only the surface of fabric is processed, fading), Laser Engraving (Controlled cutting to depth). It has been used extensively as the replacement of some conventional dry processes like sand blasting, hand sanding, destroying, and grinding etc., which are potentially harmful and disadvantageous for the environment.
The article considers some innovative laser technologies, such as marking and engraving on various textile materials. The laser applications for leather and textile processing were analysed. The report overviews systems and ways of laser marking and engraving implementations. Classification of markings was proposed. The advantages of laser marking and engraving technologies in textile fields were pointed.
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Zhang, Jianlei, Lin He e Longdi Cheng. "Is China’s Textile Industry Still a Labour-Intensive Industry?" Fibres and Textiles in Eastern Europe 29, n.º 1(145) (28 de fevereiro de 2021): 13–16. http://dx.doi.org/10.5604/01.3001.0014.5038.
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Is China’s textile industry (CTI) still a laboor-intensive one? To answer this question, this study measures the capital-labour intensity and technology intensity of CTI and its sub-sectors during 2006-2018, then applies factor intensity classification and cluster analysis to identify their industrial attributes. The results show that CTI and its sub-sectors are still the labour- and non-technology-intensive. All the indexes of capital-labour intensity and technology intensity of CTI and its sub-sectors are below 100, lower than the average of industry sectors, indicating that they are not separate from the category of labour-intensive industry and still heavily dependent on labour. And cluster analysis verifies the industrial classification results. So CTI still needs to keep on increasing its capital intensity and technology intensity to achieve the goal of industrial transformation and upgrading in the future.
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Riba, Jordi-Roger, Rosa Cantero, Pol Riba-Mosoll e Rita Puig. "Post-Consumer Textile Waste Classification through Near-Infrared Spectroscopy, Using an Advanced Deep Learning Approach". Polymers 14, n.º 12 (17 de junho de 2022): 2475. http://dx.doi.org/10.3390/polym14122475.
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The textile industry is generating great environmental concerns due to the exponential growth of textile products’ consumption (fast fashion) and production. The textile value chain today operates as a linear system (textile products are produced, used, and discarded), thus putting pressure on resources and creating negative environmental impacts. A new textile economy based on the principles of circular economy is needed for a more sustainable textile industry. To help meet this challenge, an efficient collection, classification, and recycling system needs to be implemented at the end-of-life stage of textile products, so as to obtain high-quality recycled materials able to be reused in high-value products. This paper contributes to the classification of post-consumer textile waste by proposing an automatic classification method able to be trained to separate higher-quality textile fiber flows. Our proposal is the use of near-infrared (NIR) spectroscopy combined with a mathematical treatment of the spectra by convolutional neural networks (CNNs) to classify and separate 100% pure samples and binary mixtures of the most common textile fibers. CNN is applied for the first time to the classification of textile samples. A total of 370 textile samples were studied—50% used for calibration and 50% for prediction purposes. The results obtained are very promising (100% correct classification for pure fibers and 90–100% for binary mixtures), showing that the proposed methodology is very powerful, able to be trained for the specific separation of flows, and compatible with the automation of the system at an industrial scale.
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Yao, Gui Fen. "Quality Evaluation for Automobile Seat Woven Fabric". Advanced Materials Research 1004-1005 (agosto de 2014): 1427–31. http://dx.doi.org/10.4028/www.scientific.net/amr.1004-1005.1427.
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Industrial textiles is designed with engineering structure textiles. Transportation textiles is one of the main types of industrial textiles. Automobile seat fabric is one of the decorative materials in automobile textile fabrics. The fabric should have soft handle, good air permeability, coordinate color, luxury and generous pattern, wear-resisting, anti-fouling, flame retardant, certain friction factor and antistatic property. In recent years, requirements for automobile textiles of safety, health, environmental protection is more and more high. In order to evaluate the automobile seat woven fabric quality, need to have a simple and effective standard. Quality indexes should be comprehensive. The test method of quality index should be operable. In the existing relevant standards, the test content is not consistent. The existing relevant standards are national standards, textile industry standards and automotive industry standards. Within textile industry standard FZ/T 24005-2010 wool textiles for chair, the technical requirements include safety specification, classification rules, physical quality rating, internal quality rating, appearance quality rating. For flame retardant performance, must meet the following requirements: damaged length ≤200mm, afterflame time ≤15s. Within national standard GB 8410-2006, flammability of automotive interior materials, for flame retardant performance, must meet the following requirements: burning rate ≤100mm/min. Within automotive industry standard QC/T 633-2009 the seats of passenger vehicles, for safety specification, seat fabric must meet the B grade in GB 18401. Based on some effective standard, established suitable standard for automobile seat woven fabric. The standard covers quality evaluation content, performance levels and the methods of test to be used to determine these performance levels.
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Cao, Fei, Jian Ping Shi, Xian Yan Liu e Chang Sheng Zhang. "Modern Home Textiles Database Query System". Advanced Materials Research 175-176 (janeiro de 2011): 398–401. http://dx.doi.org/10.4028/www.scientific.net/amr.175-176.398.
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This study made a discussion of the exploitation and application of home textile bedding data-base design. The target is to closely follow the International Textile Fashion trend and to design a lot of world-class home textile bedding products. This article bases on the practicality of the textile bedding design. Database is divided into three modules: style classification database, design theme classification database and the processing technology database. In a comprehensive basis of market research, database is using VB programming language and Access database development tools. Because it has the function of flexible, quickly and accurately find the technical parameters, design styles and product styles and other related information of the processing. There are many descriptions, pictures, process technology and so on of home textiles bedding in the data-base. From the data-base, designers can easily inquiry the color, variety, fashion, style, function, process technology etc. Then, designers can exchange and innovation by using what they inquiry from the database. Through the innovation, home textile enterprises enhance the market competitiveness. It’s conducive to improve the overall development of textile industry by the data-base.
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Liu, Zhengdong, Wenxia Li e Zihan Wei. "Qualitative classification of waste textiles based on near infrared spectroscopy and the convolutional network". Textile Research Journal 90, n.º 9-10 (5 de novembro de 2019): 1057–66. http://dx.doi.org/10.1177/0040517519886032.
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The recycling of waste textiles has become a growth point for the sustainable development of the textile and clothing industry. In addition, sorting is a key link in the follow-up recycling process. Since different fabrics are required to be processed by different technologies, manual sorting not only takes time and effort but also cannot achieve accurate and reliable classification. Based on the analysis of near infrared spectroscopy, the theory and methods of deep learning are used for the qualitative classification of waste textiles in order to complete the automatic fabric composition recognition in the sorting process. Firstly, a standard sample set is established by waveform clipping and normalization, and a Textile Recycling Net deep web suitable for near infrared spectroscopy is established. Then, a pixilated layer is used to facilitate the deep learning of features, and the multidimensional features of the spectrum are extracted by using the multi-layer convolutional and pooling layers. Finally, the softmax classifier is adopted to complete the qualitative classification. Experimental results show that the convolutional network classification method using normalized and pixelated near infrared spectroscopy can realize the automatic classification of several common textiles, such as cotton and polyester, and effectively improve the detection level and speed of fabric components.
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Lysova, Marina A., Lyudmila V. Dryagina, Natalia A. Gruzintseva e Boris N. Gusev. "UNIFICATION OF THE CODING SYSTEM TEXTILE PRODUCTS". Technologies & Quality 53, n.º 3 (28 de outubro de 2021): 24–29. http://dx.doi.org/10.34216/2587-6147-2021-3-53-24-29.
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One of the ways to achieve the required level of quality of industrial products and, consequently, to increase the competitiveness of Russian manufacturers is to implement the task of optimising and unifying the nomenclature of products produced by enterprises. However, at present, due to the differences in the classification and coding systems of consumer products at the corresponding stages of its life cycle, there are problems with the unification of the nomenclature of industrial products, including textiles, since textile and light industry enterprises, trade organisations and customs authorities each use their own classification of these types of products. The paper analyses the functional capabilities of the currently existing coding systems for textile products, and also proposes and implements a method for matrix coding of textile products on the range of geosynthetic materials produced. In addition, the possibility of combining matrix coding of products with information about its manufacturer and quality in the framework of a two-dimensional barcode is shown.
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Lee, So Young, Hye Seon Jeong, Yoon Sung Choi e Choong Kwon Lee. "Textile material classification in clothing images using deep learning". Korean Institute of Smart Media 12, n.º 7 (31 de agosto de 2023): 43–51. http://dx.doi.org/10.30693/smj.2023.12.7.43.
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As online transactions increase, the image of clothing has a great influence on consumer purchasing decisions. The importance of image information for clothing materials has been emphasized, and it is important for the fashion industry to analyze clothing images and grasp the materials used. Textile materials used for clothing are difficult to identify with the naked eye, and much time and cost are consumed in sorting. This study aims to classify the materials of textiles from clothing images based on deep learning algorithms. Classifying materials can help reduce clothing production costs, increase the efficiency of the manufacturing process, and contribute to the service of recommending products of specific materials to consumers. We used machine vision-based deep learning algorithms ResNet and Vision Transformer to classify clothing images. A total of 760,949 images were collected and preprocessed to detect abnormal images. Finally, a total of 167,299 clothing images, 19 textile labels and 20 fabric labels were used. We used ResNet and Vision Transformer to classify clothing materials and compared the performance of the algorithms with the Top-k Accuracy Score metric. As a result of comparing the performance, the Vision Transformer algorithm outperforms ResNet.
Teses / dissertações sobre o assunto "Textile industry – Classification"
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Balakrishnan, Harinarayanan. "FDICS : a vision-based system for identification and classification of fabric defects". Thesis, Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/8465.
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Frech, Wolfgang. "Die Meinertsche Spinnmühle in Lugau". Universitätsbibliothek Chemnitz, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-233134.
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Wolfgang Frech schildert in seinem Beitrag die Geschichte der sogenannten "Meinertschen Spinnmühle" in Lugau und geht dabei neben architektonischen Besonderheiten auf die Nutzung des Gebäudes und dessen Verfall ein.
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Eckhardt, Dirk, e Martin Pokropp. "Die Kontinentalsperre und ihre Auswirkungen insbesondere auf die Textilindustrie". Thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2006. http://nbn-resolving.de/urn:nbn:de:swb:14-1156178668399-97706.
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Was wäre, wenn es die Kontinentalsperre nicht gegeben hatte? Die Beantwortung dieser Frage setzt eine Beschäftigung mit den Konsequenzen der Blockade auf die wirtschaftliche Entwicklung der betroffenen Länder voraus. Desweiteren ist die Suche nach einem möglichen Alternativszenario notwendig, um einen Vergleich zwischen realem und kontrafaktischem Verlauf ziehen zu können. Diese Arbeit betrachtet zunächst die unterschiedliche Entwicklung der Textilindustrien in England und dem deutschsprachigen Raum. Die Auseinandersetzung mit dem Zustand vor, während und nach der Blockade leitet in die kontrafaktischen Überlegungen über. Hierbei wird ein Vorschlag entwickelt, wie ein solches kontingentes Alternativszenario aussehen könnte. Die in dieser Arbeit angestellten Überlegungen sollen einen Beitrag dazu leisten, die Bedeutung der Kontinentalsperre für die europaische Wirtschaftsgeschichte einschätzen zu können ...
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Reichmann, Ivonne. "Die Böhme Fettchemie GmbH von ihrer Gründung bis in die frühe Nachkriegszeit: Für Eure Wäsche ausgezeichnet – Wasch- und Textilhilfsmittel aus Chemnitz –". Universitätsverlag Chemnitz, 2018. https://monarch.qucosa.de/id/qucosa%3A72650.
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Die Böhme Fettchemie ging aus der 1881 von Hermann Theodor Böhme errichteten „Drogen-, Farben- und chemische Produktehandlung“ hervor. Am Ende des 19. Jahrhunderts als kleine Verkaufshandlung gegründet, etablierte es sich innerhalb von 50 Jahren zu einem weltbekannten Unternehmen zunächst im Bereich der Textilhilfsmittel. Doch auch im Bereich der Haushaltswaschmittel erreichte es in den 1930er Jahren ebenfalls einen großen Bekanntheitsgrad. Mit der Werbefigur Johanna, die das weltweit erste synthetische Waschmittel „Fewa“ anpries, war es der Firma gelungen, ein breites Publikum auf sich aufmerksam zu machen. Neben der Unternehmensgeschichte – von der Gründung bis in die Mitte der 1940er Jahre – gibt die Autorin Ivonne Reichmann mit dem vorliegenden Werk Auskunft über soziale und wirtschaftliche Aspekte der Böhme Fettchemie. Die einzelnen, chronologisch gegliederten Kapitel erschließen die bauliche Erweiterung, die Mitarbeiterstruktur, den Ausbau der Produktpalette sowie die weltweite Ausdehnung des Unternehmens. Deren Werbemaßnahmen spielen dabei ebenso eine Rolle wie die Übernahme durch den Henkel-Konzern in den 1930er Jahren. Mit dieser Studie wird eine Forschungslücke zum bisher wenig betrachteten Bereich der chemischen Industrie im südwestsächsischen Raum geschlossen.:1. Fragestellung und Methode
2. Voraussetzungen und Anfänge der Unternehmensgründung
3. Unternehmensentwicklung bis zum Ende der 1920er Jahre
4. Die turbulenten 1930er Jahre
5. Das Unternehmen während des Zweiten Weltkriegs
6. NachkriegsjahreBöhme Fettchemie emerged from a 'drugs, dyes and chemical products shop' established by Hermann Theodor Böhme in 1881. Founded at the end of the 19th century as a small sales business, it established itself within 50 years as a world-famous company, initially in the field of textile auxiliaries. But also in the field of household laundry detergents it achieved a high degree of recognition in the 1930s. With the advertising figure Johanna, who praised the world's first synthetic detergent 'Fewa', the company succeeded in attracting the attention of a wide audience. In addition to the company's history – from its foundation to the mid-1940s – the author Ivonne Reichmann provides information about the social and economic aspects of Böhme Fettchemie with this work. The individual, chronologically structured chapters reveal the structural expansion, the employee structure, the expansion of the product range as well as the worldwide expansion of the company. Their advertising measures play just as much a role as the takeover by the Henkel Group in the 1930s. This study closes a research gap to the hitherto little considered area of the chemical industry in southwest Saxony.:1. Fragestellung und Methode 2. Voraussetzungen und Anfänge der Unternehmensgründung 3. Unternehmensentwicklung bis zum Ende der 1920er Jahre 4. Die turbulenten 1930er Jahre 5. Das Unternehmen während des Zweiten Weltkriegs 6. Nachkriegsjahre
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Fonteneau, Tamime Omar. "Etude de la filabilité des cotons collants et de la classification des balles selon leur potentiel de collage mesuré par le H2SD". Mulhouse, 2000. http://www.theses.fr/2000MULH0605.
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Le coton pollué par les miellats d'insectes peut engendrer durant sa transformation des encrassements des machines textiles. Ceci induit une baisse de la productivité et de la qualité en filature. Afin de mieux déceler le collage dans le coton et d'en quantifier les effets sur la filature, des études de fiabilité ont été menées sur une unité industrielle. Durant ces essais de filature, un suivi de la productivité de chacune des machines a été opéré. Différents paramètres de qualité ont également été répertoriés. La comparaison de plusieurs mesures du collage, thermodétecteur SCT, H2SD et les pourcentages des sucres dosés par HPLC, ont montré que le nombre de points collants mesuré par H2SD est le meilleur indicateur du collage en filature. En utilisant cette mesure, les relations entre le collage et les perturbations qu'il induit ont pu être quantifier notamment pour le rendement, les imperfections du fil et ses propriétés de résistance. Une étude de faisabilité du classement des balles selon leur collage a montré qu'il est possible de séparer les balles en fonction du nombre de points collants pour leur mise en vente avec une valeur de collage garantie tout en maîtrisant le risque de litige.
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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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Le, Hoai Nga. "A concept for nanoparticle-based photocatalytic treatment of wastewater from textile industry". Doctoral thesis, 2017. https://tud.qucosa.de/id/qucosa%3A30121.
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Industrial wastewater, such as the effluents from textile and garment companies, may contain toxic organic pollutants, which resist conventional wastewater treatment. Their complete and environmentally friendly degradation requires innovative technologies. Photocatalysis, an advanced oxidation process, can serve this purpose. Since 1972, when the photocatalytic activity of titanium dioxide was first noticed, photocatalysis has drawn the attention of scientists and engineers but it has not yet been widely applied in industrial practice. This is mainly related to the challenges of up-scaling from laboratory experiments to large production sites.
The main goal of this thesis is to develop a concept of nanoparticle-based photocatalysis for the treatment of wastewater. Ideally, process parameters should be adjustable and process conditions should be well-defined. These constraints are prerequisite for establishing process models and comparing the photocatalytic efficiency of different photocatalysts or for different pollutants. More importantly, the configuration should be scalable, in order to cover a wide spectrum of applications.
In response to these requirements, this thesis introduces a new reactor concept for photocatalytic wastewater treatment, which relies on finely dispersed photocatalysts as well as uniform and defined process conditions with regard to illumination and flow. The concept was realized in a photocatalytic setup with an illuminated flow reactor. The flow channel has a rectangular cross section and meanders in a plane exposed to two dimensional illumination. Crucial process parameters, e.g., volumetric flow rate and light intensity, can be adjusted in a defined manner. This facilitates the study on the photocatalytic degradation of different organic pollutants in the presence of various photocatalytic materials under arbitrary illumination.
The thesis provides a comprehensive description of the operational procedures necessary to run photocatalytic reactions in the experimental setup. It includes three main steps: i) dispersion of photocatalysts, ii) equilibration with respect to pollutant adsorption and iii) accomplishing the photocatalytic reaction. Samples are collected in a mixing tank for online or offline analysis. The proceeding decrease in the concentration of organic pollutant is used to assess the activity of the photocatalytic materials.
A particular focus lies on the first of these steps, the dispersion of photocatalysts, because it is ignored in most studies. Typically, photocatalysts are in an aggregated state. The thesis demonstrates that type, intensity and energy of dispersion exert a crucial influence on size and morphology of the photocatalyst particles and, thus, on their optical properties and, accordingly, macroscopic photocatalytic behavior. Apart from this, a proper dispersion is necessary to reduce speed of gravitational solid-liquid separation, at best, to prevent catalyst sedimentation and to avoid misleading results.
The photocatalytic performance was intensively investigated for the color removal of a model dye substance, methylene blue. Commercial titanium dioxide nanoparticles, widely explored in literature, were used as a photocatalyst. Their characteristics (size, morphology, stability and optical properties) were determined. Photocatalytic experiments were carried out under UV irradiation. Influences of different factors, including the concentration of the photocatalyst, the concentration of the organic compounds, light intensity, optical pathlength and pH were examined. The degradation was quantified via the decrease of methylene blue concentration. This conversion is, however, an immediate result influenced by all process parameters, e.g., the volume, the light intensity, the optical pathlength. Hence, kinetic models on macroscopic and microscopic levels are established. Normalizations with respect to process conditions are proposed. The apparent reaction kinetics are traced back to volume- and intensity-related reaction rate constants, and the reaction rate constant at the illuminated surface of the reactor. Additionally, the model is modified to be used for time-variant UV intensities, as encountered for solar photocatalysis. These achievements allow for a comparison of the experimental results from different laboratories. Moreover, they are prerequisite for the translation of laboratory results into large scale plants.
Selected case studies for further applications are introduced. The photocatalytic degradation of different organic molecules (one antibiotic and two commercial dyes) with different photocatalytic materials (commercial nanomaterials and self-synthesized magnetic particles) under artificial or natural light sources was performed. Additionally, photocatalysis was studied in a realistic application. Preliminary tests with dye solutions of a textile company in Danang, Vietnam, impressively showed the feasibility of wastewater treatment by means of photocatalysis. Based on the reported capacity of wastewater in the current treatment plant of the company, the necessary process parameters were assessed. The rough estimation showed that photocatalysis can improve the working ability of the current wastewater treatment plant.
In conclusion, this thesis presents a concept for wastewater treatment by slurry photocatalysis. As the process conditions are adjustable and definable, the process can be ideally performed in laboratories for research purposes, where different materials need to be tested and the working volume can be lower than hundreds of milliliters. The photocatalytic configuration is expected to work with a capacity of hundreds of liters, although appropriate experimental evidences are reserved for further up-scaling studies.
Livros sobre o assunto "Textile industry – Classification"
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Council, American Consulting Engineers, ed. Textile mill products industry: Standard industrial classification 22. Washington, D.C. (1015 Fifteenth St., N.W., Washington 20005): American Consulting Engineers Council, 1985.
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Seiler-Baldinger, Annemarie. Systematik der Textilen Techniken. Basel: Ethnologisches Seminar der Universität und Museum für Völkerkunde, 1991.
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Textile mill products industry: Standard industrial classification 22. American Consulting Engineers Council, 1985.
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Systematik der Textilen Techniken. Schwabe Verlag Basel, 1991.
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Lisee, Edward J. Industrial Market & Energy Management Guide: Standard Industrial Classification 22 ; Textile Mill Products Industry. U.S. Dept. of Energy, Conservation, 1985.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Textile industry – Classification"
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Subhopoto, Ahsen Noor, Mehmet Akar e Sencer Sultanoglu. "A New Classification Method for Predicting the Output of Dye Process in Textile Industry by Using Artificial Neural Networks". In Advances in Computational Intelligence, 687–98. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20518-8_57.
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Younes, Basel. "Characterization, Modeling and the Production Processes of Biopolymers in the Textiles Industry". In Biocomposites. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.96864.
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The current chapter is focused on biopolymers and Bionanocomposite as environmentally friendly materials, modeling of the production processes, and coating of bio-textiles. Different industries use biopolymers and Bionanocomposite in for the current environmental applications. Furthermore, composition and classification of biopolymers, the theoretical methods, and factorial experimental designs (FED) for optimization and modeling processes of the environmentally friendly textiles used as an alternative to traditional chemical textile products with zero to low environmental footprint are studied at acceptable cost. This chapter will also describe the novel optimization, experimental factorial design, and how the novel modeling methods will help less experienced polymer designers in taking the best experimental decision controlled by the design factors. It also discusses how the fully biodegradable polymers support the industry by decreasing the processing energy, material and manufacturing costs. Finally there are an overview of the current and future developments of biodegradable polymers applications in modern bio-textiles industries.
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Lavín, José M. "Type of Relationships and Their Management Towards Quality and Performance in the Textile and Apparel Industry". In Management and Inter/Intra Organizational Relationships in the Textile and Apparel Industry, 1–25. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1859-5.ch001.
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Relations within the textile and apparel industry have varied considerably in recent years. New modes of relationship management and the emergence of new international actors have altered traditional concepts. In the chapter, the authors study the reflection of these variations in inter-organizational and intra-organizational relations, especially by reviewing 42 articles reported in journals and conference proceedings from the ISI Web of Knowledge database, finding 28 articles on the subject mentioned. A classification of the 28 articles has been made based on their context, their sources of results, the stakeholders that appear, and their final results. The contributions are shown in each of the two areas mentioned and which is the most studied. Later on, an account is made of the main theoretical bodies mentioned in the articles, and finally, it is observed that while marketing and supply chain management, belonging to inter-organizational relations are widely mentioned, intra-organizational relations have less value, especially in the question of human resources.
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Khan, Hasan, e Ramandeep Kaur. "The Pivotal Role of Business Intelligence and Data Analytics for the Textile Industry in India". In Advancements in Communication and Systems, 471–80. Soft Computing Research Society, 2024. http://dx.doi.org/10.56155/978-81-955020-7-3-41.
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Business intelligence systems (BIS) provide critical information to the planners and decision-makers of an organization through the integration of analytical tools with operational and historical data. The objective of business intelligence (BI) is to enhance the quality and promptness of information, thereby enabling executives to gain a more comprehensive understanding of their organization's standing in comparison to competitors. Utilizing business intelligence tools and technology, one may analyze, for instance, fluctuations in consumer expenditure and behavior, corporate capabilities, customer preferences, and market conditions. Furthermore, business intelligence can be employed by analysts and managers to ascertain which modifications are most prone to accommodating evolving trends. Mining of data is the process of extracting potentially advantageous, implicit information from data in a nontrivial manner. Examples of technological techniques include clustering, discovering dependency networks, learning classification rules, data summarization, anomaly detection, and change analysis. The integration of web architecture, improvements in hardware and software capabilities, the introduction of the advancements and the data warehouse as a repository in data purification have collectively created a more comprehensive business intelligence environment than was previously attainable. The purpose of this document is to provide a structure for the creation of a business intelligence system. Utilizing artificial intelligence (AI) to investigate and detect security vulnerabilities is possible. Acts of manipulation and motion Given a restricted, static environment, artificial intelligence devices can easily detect and map their surroundings.
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Banerjee, Diptonil, Amit Kumar Sharma e Nirmalya Sankar Das. "Structures and Basic Properties of Textile Dyes and their Impact on the Environment". In Nano Materials Induced Removal of Textile Dyes from Waste Water, 126–60. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/9789815050295122010006.
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In today's world, the textile industry is one of the most important sectors, both economically and in everyday life. The textile industry is one of the most important commercial sectors that require a significant amount of water and chemical ingredients for several types of processing needed during the conversion of fibres to final textile products ready for sale. Textile dyes are an important topic to discuss from both a positive and negative perspective, as dyes are an unavoidable part of colouring clothes or papers, but when they end up in the environment as a waste product from the industries mentioned above, they have a significant negative impact on the environment and the water ecosystem. Thus, it becomes necessary to handle the dyes properly and develop ways and means to remove/reuse them. However, in order to do so, one must have an in-depth understanding of the structures and properties of various dyes, as well as the treatment that should be applied. Keeping this in mind, we have discussed the basics of textile dyes in this chapter. The classifications of textile dyes, as well as their chemical structures and qualities, were also covered in this chapter. The in-depth discussion on the fundamental of textile dyes may help the workers handle dyes in a controlled way to protect the environment from the associated toxicity.
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Gordon, Robert B., e 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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Bodhale, Akanksha, e Seema Verma. "Novel Approach for Crop Weed Detection in Wheat Fields Using Deep Learning Algorithms". In Fostering Cross-Industry Sustainability With Intelligent Technologies, 232–46. IGI Global, 2023. http://dx.doi.org/10.4018/979-8-3693-1638-2.ch015.
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Agricultural productivity is greatly affected by weeds. To remove these weeds with chemical pesticides is harmful to the ecological environment. Also, with overall level of agricultural production rising, it is becoming more and more crucial to accurately distinguish between crops and weeds in order to perform accurate spraying just on the weeds. For generating precise spraying methods, it is required to identify the crop location and weed location more precisely. In recent years, many weed detection techniques are explored. This approach ranges from conventional to machine learning to deep learning. It is quite necessary to identify the color and texture features from image using image processing techniques for conventional approach. Then these conventional approaches are combined with some classical machine learning techniques. Any classical machine learning method necessitates a limited amount of training time, a low requirement for graphics processing units, and a limited sample size. There are two main approaches to weed detection from images: classification and segmentation.
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Dubey, Shiv Ram, e 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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Jhanji, Yamini. "Sportswear: Acumen of Raw Materials, Designing, Innovative and Sustainable Concepts". In Textiles for Functional Applications. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.99808.
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Sportswear constitutes an integral part of technical textiles and encases great potential as far as technological and design innovations are concerned. The sports textiles have witnessed tremendous evolution and that too at a much faster pace compared to ready to wear segment. The sports clothing is no longer restricted to sportsperson involved in performance sports or strenuous physical activities. However, there has been a surge for sports apparels and accessories among health conscious, fitness freak and gym enthusiasts. Accordingly, the sportswear industry has witnessed revolutionary advancements in development of different sportswear categories like active wear, leisurewear and athleisure to fulfill the requirements of sportsperson as well as health conscious millennials. The basic and functional requirements of comfort, breathability, light weight, anti-static and anti-odor properties can be engineered into sportswear by optimum selection of fibers, yarns, fabrics and garments’ designing aspects. The chapter will provide an insight on the classification, requirements, design aspects, raw material procurement, innovative and sustainable concepts employed in sportswear to enhance the functionality and comfort characteristics of sportswear. Furthermore, the role of technology and fashion in sportswear transformation is also covered in the last sections of the chapter.
Trabalhos de conferências sobre o assunto "Textile industry – Classification"
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Reinsch, Leon, Christoph Greb e Thomas Gries. "Ontologies – Introduction and Practical Approach to Textile Engineering". In Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001061.
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Ontologies offer great potential for interoperability of production processes, yet they still lack awareness in the textile industry. Textile engineering is predominantly characterized by experience-based approaches and tacit knowledge in specialized application domains. Ontologies serve as an approach for the formalization of knowledge in human and machine-readable form. This paper aims to convey ontology-based approaches in textile production technology and delineate additional application fields.This contribution provides a classification of existing ontology-based approaches in textile production technology, delineate additional application fields and highlights open challenges and complexity drivers in textile manufacturing.
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Niculescu, Marilena, Emilia Visileanu, Lilioara Surdu, Francisco Guimaraes e Ionrazvan Radulescu. "E-LEARNING FOR TEXTILE DEFECTS ANALYSIS". In eLSE 2014. Editura Universitatii Nationale de Aparare "Carol I", 2014. http://dx.doi.org/10.12753/2066-026x-14-287.
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In order to achieve a teaching process with good performance indicators, for an optimal insertion into the socio-professional environment of the learners, it is necessary a stimulating instructional environment. Recent developments in the field of communication and information technologies have changed essential needs both in terms of acquiring knowledge and capacity to respond to them and the way they are offered as study programs to the educational institutions. The main change relates to the supply of education centered on student needs, which places him in the center of the educational process. This paper presents in its first part some considerations about the e-learning technologies (common administrative tools for e-learning, software used for distance learning) and in the second part it refers to the content adequacy of a textile course, based on modern methods of teaching, so to enrich the methodological tools of the teacher and ensure sustainable acquisitions. An e-learning course for Skills Development in Textile Defects Analysis was developed, sustained by the Leonardo da Vinci Programme from seven European countries, included Romania. The e-learning course is intended for textile workers, unemployed textile workers and students. The development of this project offered essential, specialized information referring to the products and processes in the textile industry and to the ways to rapidly identify textile defects. On the other hand, the use of audio-visual aids, photographs, multimedia graphs, comparative methods had contributed to the increase of attractiveness of the course and to a better identification and classification of defects in textiles products. So, the person who learns obtains knowledge, and on another side he forms those abilities that are needed to practicing.
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Juraev, Gayrat, e Obidjon Bozorov. "Using TF-IDF in text classification". In PROBLEMS IN THE TEXTILE AND LIGHT INDUSTRY IN THE CONTEXT OF INTEGRATION OF SCIENCE AND INDUSTRY AND WAYS TO SOLVE THEM: (PTLICISIWS-2022). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0145520.
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Aslonov, Jasurbek, e Abdigappar Narmanov. "Classification of geometry of orbits of killing vector fields". In PROBLEMS IN THE TEXTILE AND LIGHT INDUSTRY IN THE CONTEXT OF INTEGRATION OF SCIENCE AND INDUSTRY AND WAYS TO SOLVE THEM: PTLICISIWS-2. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0199581.
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Ruzinazarov, Shukhrat, Liliya Achilova e Nilufar Rakhmonkulova. "Classification of types (business models) of electronic commerce and subjects-participants". In PROBLEMS IN THE TEXTILE AND LIGHT INDUSTRY IN THE CONTEXT OF INTEGRATION OF SCIENCE AND INDUSTRY AND WAYS TO SOLVE THEM: (PTLICISIWS-2022). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0147704.
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Bobojonov, Ravshan, Olmos Zafarov e Jaxongir Yusupov. "Soil composition in the construction of engineering structures, their classification, assessment of the impact of mechanical properties of soils on the structure". In PROBLEMS IN THE TEXTILE AND LIGHT INDUSTRY IN THE CONTEXT OF INTEGRATION OF SCIENCE AND INDUSTRY AND WAYS TO SOLVE THEM: (PTLICISIWS-2022). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0145758.
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Chaihang, Sirawit, Watjakron Unpan, Pakpoom Chansri, Pasapitch Chujai Michel e Pattarapon Pooyodying. "Thermal inspection System Prediction for Circuit Breaker on Load Panel With Image Classification Technique By Tensorflow : A Case Study Textile Industry". In 2023 27th International Computer Science and Engineering Conference (ICSEC). IEEE, 2023. http://dx.doi.org/10.1109/icsec59635.2023.10329761.
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Blaga, Mirela, Ana ramona Ciobanu, Dorin Dan e Daniela Farima. "INTERACTIVE LESSON FOR STUDYING KNITTED FABRICS WITH TUCK PATTERNS". In eLSE 2015. Carol I National Defence University Publishing House, 2015. http://dx.doi.org/10.12753/2066-026x-15-259.
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Knitting is one of the most exciting textile technologies, due to its endless potential for various applications, from fashion industry to medical, industry, geotextiles, car upholstery ones. Knitting technologies are various and achieveing competencies in knitting products development is not an easy task for the enrolled students in the textile field. On the other hand, the level of competencies required from the textile engineers by the rapidly knitting industry progress, is high. Therefore, the higher education in the field must be strong correlated with the industry level and with the requests for high qualified personnel. In this context, the tutors must be creative in developing teaching and evaluating tools, for assesing the technical knowledge acquired by the students. Interactive lessons have been introduced to the learners, to provide them a sustainable training, independent of knitting and CAD laboratory and to meet their own studying rhythm. The relevant skills that students should achieve at laboratory classes for CAD knitting technology are concerning the design preparation with professional software, programming the design, design processing, setting the knitting parameters and manufacturing the fabric. The paper highlights an interactive lesson, organised as an comprehensive guide for studying in details the group of weft knits with tuck patterns, produced on electronic flat knitting machines. Weft knitting represents a method of making a fabric by forming rows of stitches across its width, from the same yarn. In terms of work for fashion or technical applications, the tucks patterns demonstrate a good potential for design and functionality given to a product. Tuck stiches make the basic knit fabric wider, thicker and slightly less elastic. Tucks are usually patterned to increase fabric weight and thickness, to insert yarns difficult to knit, to knit-in intarsia yarns, to shorten long jacquard floats. The content of the laboratory class is covered by text information, drawings, flash animations of the loop formation, simulation of the knitted structure and demonstrative videos. This particular application deals with the: classification of weft knit patterns, principle of producing tuck stitches, design potential of tucks and applications of these fabrics. A self-assessment stage of the knowledge acquired during the course is completing the e-learning content, by using tests based on 'drag-and-drop" and "multiple choice" methods, reflecting thus the knowledge level, as an individual study result. The application is available for the students in html format, on the moodle paltform: http://www.moodle.tex.tuiasi.ro, and it is part of the module of "Advanced Knitting Technologies", developed within the project Adan2Tex, financed through the program Erasmus Plus, for supporting the professionals in the textile industry.
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Santos, José, Joana Leite, Eva Rodrigues, Paulo Sanches, Sara Sousa, António Trigo e Elisabete Correia. "Sustainability Evaluation of the Supply Chain Under the Greenpact: A Framework Proposal for the Textile Sector". In 7th FEB International Scientific Conference. University of Maribor, University Press, 2023. http://dx.doi.org/10.18690/um.epf.3.2023.19.
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Sustainable development is a very broad and rich concept that refers to a global development model that presupposes the satisfaction of humanity's current needs without compromising its future. With the growing globalization, there has been a greater concern with promoting sustainable economic activities internally and in supply chains. Aligned with these concerns, this research study proposes to develop a framework for the analysis and classification of the companies` socioenvironmental impacts to be integrated in the GreenPact. This is a digital sustainable supply-chain-as-a-service platform that promotes the creation and availability of sustainable products through the relationship between brands and manufacturers, thus fostering the development of more sustainable value chains. The project supporting this study is the result of a research partnership with Zenithwings, a high-tech company focused on providing services related to Research & Innovation in the areas of Precision Agriculture and Industry 4.0. It is intended that this research contributes to a greater awareness of the considerable socio-environmental impacts of the supply chains in the textile sector. It is also expected to highlight the importance of using performance indicators as key tools to verify whether companies adopt good practices for mitigating socio-environmental impacts.
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Duc, Duong Thi Kim, e Le Tieu Thanh. "Developing Training from Industrial Design to Innovative Design in Vietnam". In 22th AUTEX World Textile Conference. Switzerland: Trans Tech Publications Ltd, 2024. http://dx.doi.org/10.4028/p-7vschd.
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The world's design industry has suffered from the transformation from single-product design to mass-produced product design and the industrial revolution that today is the Industrial Revolution 4.0 and 5.0. Similarly, the design industry in Vietnam also has to go through that transformation process to develop, in which the team of trained designers plays a vital role in the transformation process and development. Around the world, research on the transformation process of design types, concepts, classifications, design processes, and their applications in all areas of life are the core bases for building goals, content, and methods of human resource training programs in the design industry. This article summarizes some typical design concepts and research results on the current situation, trends, and needs of the design industry in the world and Vietnam. On that basis, propose directions to supplement knowledge and develop design human resource training, especially in the fashion design industry, for the current economy in Vietnam.