Revolutionising Waterless Textile Dyeing through Optical Colour Mixing and Machine Learning Colour-recipe Prediction

** 公开说明：** 传统的纺织品染色是一个重大的环境问题，使用大量的水，估计每年920亿立方米，并涉及大量的化学品使用。它产生大量的废水，每年价值约8000亿英镑的宝贵染料作为废水被丢弃。此外，传统的色彩创作过程往往容易出错和浪费，严重依赖于色彩师的专业知识和模拟实验室的浸泡。我们与Amphico和利兹大学合作的开创性项目旨在通过我们创新的无水彩色纺织品生产和基于数据驱动的机器学习（ML）纺织品颜色创建方法彻底改变纺织行业。通过巧妙地将色彩创造方法与原液染色相结合，我们能够开发出低最小订购量，低影响，低碳和低成本的无水有色纺织品。Amphico是一家材料科学公司，在先进的聚合物共混和高性能纺织品开发方面拥有专业知识，致力于通过创新，可持续材料和制造技术，旨在提高资源效率和减少化学污染。在Innovate UK的支持下，我们的目标是实现纺织品生产的可持续转变：**· Planet：** 我们创新的染色方法，在纱线挤出前的聚合物溶液阶段引入颜色，与传统的水浴染色方法相比，大大减少了90%的用水量和96%的二氧化碳排放量。我们的ML色彩配方预测系统集成到色彩创作过程中，最大限度地减少了浪费，显著提高了设计效率，并符合全球可持续发展目标。** 我们的项目为最终用户提供了显著的优势。我们通过改善颜色质量和耐用性来提高产品的美观性和使用寿命，减少频繁更换的需求。我们的低起订量生产提供了多种颜色从少数原色纱线，扩大客户的选择。我们的机器学习色彩配方预测软件将允许纺织品制造商和品牌根据市场需求量身定制生产，实现个性化。重要的是，我们的环保染色工艺使消费者能够将购买与可持续发展目标相结合，平衡消费者满意度与环境责任。利润：** 通过与领先的学术机构的合作以及与行业利益相关者的潜在联盟，我们创新的无水彩色纺织品和ML软件为服装品牌提供了实现可持续发展目标的机会，减少了对环境的影响，同时提高了利润率。通过与我们的品牌合作伙伴合作生产适合全球市场规模的高品质纺织品，我们创造了一个有利可图的解决方案，为英国纺织和服装经济做出了贡献。

**Public Description:**Conventional textile dyeing is a significant environmental concern, utilising vast quantities of water, estimated at 92 billion m3 annually, and involving substantial chemical usage. It generates a large amount of wastewater, and valuable dyes worth around 800 billion GBP are discarded as effluents every year. Moreover, the traditional colour creation process is often error-prone and wasteful, heavily relying on colourist's expertise and analogue lab dips. Our groundbreaking project, in collaboration with Amphico and the University of Leeds, aims to revolutionise the textile industry through our innovative waterless coloured textile production and a data-driven, machine learning (ML) based textile colour creation approach. By cleverly combining a colour creation method with dope dyeing, we are able to develop a low minimum order quantity, low impact, low carbon and low cost waterless coloured textile.Amphico is a material science company, with expertise in advanced polymer blending and performance textile development, committed to transforming the textile industry through innovative, sustainable material and manufacturing technology aimed at increasing resource efficiency and reducing chemical-pollution. With Innovate UK's support, we aim to bring about a sustainable shift in textile production:**• Planet:** Our innovative colouration method, which introduces colour at the polymer solution phase before yarn extrusion, dramatically reduces water usage by 90% and CO2 emissions by a substantial 96% compared to traditional water bath dyeing methods. The integration of our ML colour-recipe prediction system into the colour creation process minimises waste, significantly enhances design efficiency and aligns with global sustainability goals.**• People:** Our project offers significant advantages for end users. We enhance product aesthetics and lifespan with improved colour quality and durability, reducing the need for frequent replacements. Our low-MOQ production provides a variety of colours from fewer primary coloured yarns, expanding customer choice. Our Machine Learning colour-recipe prediction software will allow textile manufacturers and brands to tailors production to market needs, enabling personalisation. Importantly, our eco-friendly dyeing process allows consumers to align purchases with sustainability goals, balancing consumer satisfaction with environmental responsibility.**• Profit:** Through our partnership with leading academic institutions and potential alliances with industrial stakeholders, our innovative waterless coloured textile and ML software provide apparel brands with opportunities to achieve their sustainability targets, reduce their environmental impact while improving their margins. By producing high-quality textiles suitable for scaling in global markets in partnership with our brand partners, we create a profitable solution, contributing to the UK textile and apparel economy.