Слайды и текст этой онлайн презентации
Слайд 1
Textile Industry
Sapko Maria
Litvin Victoria
Слайд 2
Content
Concept, purpose
Ecological problems
History
Industry
Top 8 Trends in the Textile Industry (2024)
Novel Textiles
Smart Textiles
Advanced Apparel Manufacturing
Sustainable Supply Chain
3D Technologies
AI and Data Analytics
Immersive Fashion
Textile finishing processes Basic methods and processes
Regulatory standards
Conclusion
Слайд 3
Concept, purpose
Textile industry is a group of light industries engaged in the processing of vegetable (cotton, flax, hemp, kenough, jute, ramie), animals (wool, silk of silk cocoons), artificial and synthetic fibers into yarn, threads, fabrics.
Слайд 4
Concept, purpose
The textile industry is primarily concerned with the design, production and distribution of textiles: yarn, cloth and clothing. The raw material may be natural, or synthetic using products of the chemical industry
Слайд 5
Ecological problems
The textile industry is one of the largest contributors to environmental pollution. The main problems include water and air pollution, greenhouse gases, and chemical discharge. Therefore, novel fabrics and advanced manufacturing technologies are major textile industry trends. Mass digitalization in textiles utilizes advanced tools that revolve around IoT, AI, data analytics, and 3D technologies. These technologies not only improve manufacturing performance but also comply with sustainability standards.
Слайд 6
History
According to modern archaeological data, the origins of textile technology can be found in the most remote periods of the primitive commonwealth
Until the beginning of the 18th century, a rather labor-intensive textile industry developed mainly by artisanal methods in workshops and at home. For a long time, the leaders in the production of natural fabrics and products from them were densely populated regions of the countries of the East (Persia, China, Egypt).
A significant contribution that influenced the development of the textile industry was the discovery of the Russian chemist N. N. Zinin, who in 1842 first restored nitrobenzene to aniline - from that moment on, aniline could be obtained on an industrial scale, as well as the discoveries of a number of synthetic dyes by chemists in the 19th century.
Since the end of the XIX century, artificial (based on natural polymers) and synthetic (from hydrocarbon raw materials) fibers have become increasingly common
Слайд 7
Industry
Cotton production
wool
cotton
silk
linen
Non-woven fabric production
Слайд 8
Top 8 Trends in the Textile Industry (2024)
Слайд 10
The advancement and novel technologies in materials science have been steadily growing toward adopting ethical practices. To reduce the stress on the environment the producers integrate novel materials to extend traditional functionality. They develop modern fibers that are eco-friendly, light, resilient, mechanically flexible, and easy to process. Moreover, novel fabrics are acquiring unique properties such as sensory capabilities, electrical conductivity, and data transmission.
Clothes with characteristics such as hydrophobic cotton, plant-based textiles, antimicrobial fabrics, and shape memory polymers show versatility in textile innovations. Overall, these textile innovations provide sustainable alternatives, which are commercially viable and suitable for large-scale production
Novel Textiles
Слайд 11
Refiberd produces Recycled Textiles US-based startup Refiberd produces recycled textiles made of pure post-consumer waste. Its patent-pending technology employs AI and robotics to convert used discarded garments into new clothing threads. To achieve that, the startup’s green chemical process sorts blended waste and repurposes it into polyester, and cellulose threads. This enables customers and clients to incorporate and benefit from cost-effective and sustainable textile alternatives.
Vividye develops Reversible Textile Coloring Sweden startup Vividye develops reversible textile coloring using resource-efficient printing technology. This technology enables multiple decoloring and recoloring of old fabrics. The startup’s printing technology contains chemical formulations that gently remove the design without harm to the material. As a result, by extending the lifecycle of garments Vividye optimizes the use of water resources and decreases the number of chemicals in the environment.
Novel Textiles
Слайд 12
Alpha Femtech creates Smart Menstrual Clothing Hungarian startup Alpha Femtech creates smart menstrual clothing to ease period pain. The startup’s proprietary smart bodywear ARTEMIS produces micro-vibrations to regulate heat release to the body. Further, the bodysuit is connected to the app, which regulates the intensity of pain relief. The app also collects personalized data for later analysis with gynecologists. This way, Alpha Femtech’s smart textile turns painful menstruation into a positive experience.
Technological advancement builds intelligent textiles to aid the interaction between connected devices and the human body. Smart clothes use a variety of IoT sensors to collect the person’s biometric and physical data for effective health and activity monitoring. Also, textile manufacturers incorporate microelectronics, biotechnology, and nanomaterials to improve the interconnection between components. Besides that, startups are working on durable sensors that withstand multiple washes. This way, the startups offer tech-driven resilient solutions that regulate the human body and protect against environmental hazards.
MotorSkins offers Robotic Fabrics German startup MotoSkins offers robotic fabrics with embedded fluidics to improve circulation in the human body. The technology borrows the concept of plants’ hygroscopic movement. The resulting product harvests the potential energy from each user’s step to power the next one. Further, the wearable garment uses energy to produce dynamic massage. This way, MotorSkins produces soft exoskeletons that function as external muscles to enhance people’s autonomy with walking difficulties.
Smart Textiles
Слайд 13
Garment manufacturing requires a large number of resources such as energy, water, materials, and chemicals. Consequently, it creates a significant environmental footprint and waste pollution. Therefore, advanced apparel manufacturing develops energy-efficient and high-speed processes. They include ICT-based systems, computer-aided programs, fast digital printing, and robotic devices. These applications deliver automation and accuracy in quality control, production, and human resources management. As a result, emerging technologies in textile manufacturing replace unsustainable and inefficient practices to meet customers’ new demands
Advanced Apparel Manufacturing
Слайд 14
Sewts brings Intelligent Robotics German startup Sewts brings robotics to apparel manufacturing by applying machine learning and computer vision technology. The startup’s software based on image processing automates the treatment of easily deformable materials and textiles. For instance, the Velum System accelerates laundry processes by automatically folding clothes. To achieve that, AI algorithms predict the behavior of dimensionally unstable materials in real-time. Thereby, Sewts accelerates apparel manufacturing by enabling the robotic handling of textiles, which is technically difficult to perform
Coats Digital advances Digital Manufacturing Management US-based startup Coats Digital advances digital manufacturing management through tech-driven solutions. The implementation of Big Data Analytics and AI automates manufacturing key processes including design development, fabric buying, and shop floor execution. Also, the VisionPLM software estimates fabric consumption, raw materials capacities, and operational costs. This way, the startup’s software products simplify the management of critical operations making them sustainable and cost-effective
Advanced Apparel Manufacturing
Слайд 15
To meet the growing demand for low-cost clothing, brands have developed supply chains that produce high volumes of synthetic, petroleum-based garments. Therefore, tech-enabled strategies accelerate the shift of fast fashion to a circular economy and closed-loop systems. Startups are introducing environmentally-conscious practices like reuse and recycling.
For instance, manufacturers use renewable power sources harvested from the user’s body heat. Further, blockchain-based technologies create transparency, traceability, and accountability in supply chain management. While intelligent algorithms match with approved suppliers, track order progress, and manage end-to-end production.
Sustainable Supply Chain
Слайд 16
eRMG digitalizes the Fashion Supply Chain Singaporean startup eRMG builds a fashion supply chain platform for brands, wholesalers, and retailers. The startup provides a SaaS platform to eliminate bottlenecks of garment sourcing in the post-pandemic era. To achieve that, eRMG’s develops digital tools such as real-time monitoring, virtual presence for orders, data-driven streamlined processes, and a digital design studio. This way, the tech-driven solution validates suppliers to establish reliability and compliance between the parties.
Digitalax builds a Decentralized Supply Chain Platform US-based startup Digitalax builds a decentralized supply chain platform to track and authenticate digital fashion goods. The Ethereum-based platform uses NFTs as a distribution channel for digital garments, clothing, and accessories. The platform’s pipelines create new patterns and textile libraries out of raw unsorted elements. Further, a dynamic pricing system converts them into digital assets by a dynamic pricing system to achieve fair pricing. By doing this, Digitalax builds a digital-only fashion NFT auction exchange platform to democratize the web3 supply chain.
Sustainable Supply Chain
Слайд 17
The availability of 3D technologies is driving the efficiency of textile manufacturing and design. 3D printing allows experiments with imaginative structures, shapes, and prototypes. The technology also enables the production of different materials ranging from soft polymers to rigid ceramics. It also contributes to zero-waste goals by enforcing green materials. Besides, 3D design software virtually visualizes garments before producing any fabric and waste. This way, startups not only resolve overproduction issues but also increase sales speed and minimize operating costs
3D Technologies
Слайд 18
Shapeshift prints 3D Sports Equipment Canadian startup Shapeshift prints sports and medical equipment using AI technology for 3D printing. The platform scans the human body to fully customize products from prostheses to bicycle helmets. Then, intelligent algorithms reconstruct users’ 3D scans in terms of form, function, and fit. Based on them, 3D printers quickly produce items on a large scale. Thus, Shapeshift’s 3D technology democratizes mass-scale production of custom-fit personalized wearables.
New Industrial Order manufactures 3D Knitwear Dutch startup New Industrial Order manufactures 3D-printed knitwear to reduce fast fashion waste. The startup’s 3D machines produce clothes in one piece without cutting and sewing. Further, this technique allows one to unravel the yarn and re-use it for knitting. Besides that, the Knitcloud platform in combination with digital manufacturing automates the 3D knitwear supply chain and contributes to the circular economy in fashion
3D Technologies
Слайд 19
The implementation of artificial intelligence and data analytics varies from management automation to product inspection. These technologies detect visual defects and measure wrinkles in the fabric. Also, machine learning algorithms identify previously hidden operating patterns to optimize business processes. Moreover, AI tracks consumer behavior to provide better recommendations and get insights into market fluctuations. This way, data-driven solutions improve workflows, control the labor pool, and enhance end-product quality.
Tote delivers AI Apparel Tagging Spanish startup SENSTILE digitizes textile properties using sensors and AI algorithms. The startup builds sensors that scan textiles’ visual and chemical properties. Then its AI algorithms understand the fabric’s sensory mechanics such as feel and touch. The startup’s aggregator FabrikHUB translates the data into a file with the material’s digital identification. Based on that, SENSTILE navigates through the databases to suggest the most suitable suppliers, thus, saving time and eliminating fashion waste.
Yoona.ai provides AI-based Design Automation
German startup Yoona.ai provides AI-based software to automate design processes. It uses machine learning to analyze fashion input data and generate digital designs. As input data, the platform collects users’ drawings, photos, and prototypes. Based on that the analytical tool suggests new collections, prints, materials, and color schemes. As a result, yoona.ai optimizes design workflows making them time-efficient, cost-saving, and environmentally friendly.
AI and Data Analytics
Слайд 20
Focusing on brand enhancement, digital sampling, and virtual showrooms empowered by AR/VR technology significantly improves cost-efficiency and marketing efforts. The use of immersive technologies also reduces fashion waste by replacing physical objects with digital assets. Besides, textile startups combine AR and online gamification to advertise and showcase the latest collections. They also plunge users into virtual reality experiences to highlight new features and collect valuable user feedback. With these immersive practices, startups reshape the fashion industry in a creative and sustainable manner.
Forsure Fit builds an AI-Fit Platform for Retailers US-based startup Forsure Fit offers an innovative retail solution designed for seamless integration into existing platforms. Its user-friendly platform features custom buttons and a streamlined one-step input process. It minimizes data entry while utilizing its Proprietary Body Measurement Calculation for precise size recommendations. Forsure Fit further provides advanced avatar adjustments based on primary fit discrepancies. Retailers benefit from the system’s metrics, gaining insights into customer behavior and measurement trends. This data-driven approach, combined with the platform’s numerous features, leads to fewer product returns and an increase in conversions.
Immersive Fashion
Слайд 21
ardrobe builds an AR Digital Fashion Platform Italian startup ardrobe builds an AR digital fashion platform for use in virtual spaces. videos and pictures on social media. The AR technology simulates the garment and replicates the natural flow of moving fabric to create a life-like cloth effect. Moreover, the digital collections include imaginary designs that go beyond existing fashion concepts. This way, AR fashion brings creative strategies to engage with consumers making it inclusive, diverse, and sustainable.
ЗАГОЛОВОК ПРЕЗЕНТАЦИИ
Immersive Fashion
Слайд 22
The term finishing includes all the mechanical and chemical processes employed commercially to improve the acceptability of the product, except those procedures directly concerned with colouring. The objective of the various finishing processes is to make fabric from the loom or knitting frame more acceptable to the consumer. Finishing processes include preparatory treatments used before additional treatment, such as bleaching prior to dyeing; treatments, such as glazing, to enhance appearance; sizing, affecting touch; and treatments adding properties to enhance performance, such as preshrinking.
Textile finishing processes Basic methods and processes
Слайд 23
Textile finishing processes Basic methods and processes
Newly formed cloth is generally dirty, harsh, and unattractive, requiring considerable skill for conversion into a desirable product. Before treatment, the unfinished fabrics are referred to as gray goods, or sometimes, in the case of silks, as greige goods. Finishing formerly involved a limited number of comparatively simple operations evolved over the years from hand methods. The skill of English and Scottish finishers was widely recognized, and much British cloth owed its high reputation to the expertise of the finisher. More sophisticated modern finishing methods have been achieved through intense and imaginative research.
Слайд 24
The following standards amongst others apply to textiles: -CPSIA, e.g. Standard for the Flammability of Clothing Textiles[35] -ASTM Textile Standards[36] -REACH Regulations for Textiles[37] -China Product Standard for Textiles[38] -In the European Union, the Textile Regulation (Regulation 1007/2011 on textile fibre names and related labelling and marking of fibre composition of textile products) applies. This replaced earlier Directives 73/44/EC, 96/73/EC and 2008/121/EC, which had required transposition into national law, with effect from 8 May 2012.
Regulatory standards
For textiles, like for many other products, there are certain national and international standards and regulations that need to be complied with to ensure quality, safety and sustainability.
Слайд 25
Both industrialized and developing countries now have modern installations capable of highly efficient fabric production. In addition to mechanical improvements in yarn and fabric manufacture, there have been rapid advances in development of new fibres, processes to improve textile characteristics, and testing methods allowing greater quality control.
Conclusion
Слайд 26
Sources
https://vk.com/away.php?to=https%3A%2F%2Fen.wikipedia.org%2Fwiki%2FTextile_industry
2. https://www.britannica.com/topic/textile/The-modern-textile-industry
3. https://www.startus-insights.com/innovators-guide/textile-industry-trends/
Слайд 27
Thank you for your attention!!!