Computational formulation technique for developing resource and energy efficient functional coatings for foundation industry

开发基础工业资源高效功能涂料的计算配方技术

• 批准号: 10002366
• 金额: $ 117.56万
• 依托单位: PTML (PILKINGTON TECHNOLOGY MANAGEMENT LTD)
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10002366
• 关键词: Computational; formulation; technique; developing; resource

In civil and mechanical engineering, the design process is done almost entirely by computer. Similarly, a long-held goal in formulated product (FP) design is to shift from an ad-hoc labour-intensive process towards a more robust and adaptive computer aided formulation (CAF) paradigm. Significant progress has been made over the last two decades in utilizing computational methods to aid in the development of formulated products and materials characterisation and discovery.The foundation industries in the UK have continued in the face of competition due to their ability to innovate, and add value to the products manufactured in the UK, frequently achieved through the application of a functional coating to address a specific market need. The ability to turn innovations from concept to coating faster, is what will let the foundation industries compete better. The ability to optimize the product and process for cost, quality, energy and material efficiency, without taking more development time is a key enabler for future growth.This project will take a whole supply chain view on the readiness of digital technologies to augment and enhance the traditional formulation process, and the ability to capture the knowledge of the experts in the process in terms of manufacture of constituents, application process, through a the digital-first process. This consortium, including metals, glass and bulk and speciality chemicals supply chain will seek to demonstrate a digital led approach to preparing a formulation for spray deposition on two different kinds of substrate systems, one for the glass sector, and one for steel. While we will focus on antimicrobial coatings, our approach will derisk similar approaches with many different products, different substrates, different application mechanisms, bringing together national centres of expertise with industry partners. Overall this will enable us to produce high value products at lower cost and with lower energy consumption.

在土木工程和机械工程中，设计过程几乎完全由计算机完成。同样，配方产品(FP)设计的一个长期目标是从特别的劳动密集型过程转向更健壮和适应性更强的计算机辅助配方(CAF)范例。在过去的二十年里，在利用计算方法来帮助配方产品和材料的开发、表征和发现方面取得了重大进展。英国的基础工业由于其创新能力和为英国制造的产品增加价值的能力而在竞争中继续存在，这通常是通过应用功能涂料来满足特定市场需求而实现的。更快地将创新从概念转化为涂层的能力，将使基础行业更好地竞争。在不花费更多开发时间的情况下优化产品和过程的成本、质量、能源和材料效率的能力是未来增长的关键推动因素。该项目将从整个供应链的角度看待数字技术对传统配方过程的补充和增强，以及通过数字优先过程获取过程中专家在成分制造、应用过程方面的知识的能力。这个包括金属、玻璃、散装和特种化学品供应链的联盟将寻求展示一种数字LED方法，以在两种不同的衬底系统上制备喷射沉积配方，一种用于玻璃部门，另一种用于钢铁。虽然我们将重点放在抗菌涂料上，但我们的方法将对许多不同的产品、不同的基材、不同的应用机制采用类似的方法，将国家专业中心与行业合作伙伴聚集在一起。总体而言，这将使我们能够以更低的成本和更低的能源消耗生产高价值的产品。