Data-Driven Additive Manufacturing for Highly-Regulated Industries - DAEDALUS
Data-Driven Additive Manufacturing for Highly-Regulated Industries - DAEDALUS
批准号:
105809
负责人:
金额:
$102.01万
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --
中文摘要
通过在高度监管的行业中实现增材制造(AM)零件,DAEDALUS将帮助英国成为制造驱动世界未来的产品的地方,解决英国大挑战\[1\](未来城市交通和清洁增长的电动飞机,以及老龄化社会的医疗设备)。在这些领域(例如航空航天、航天、石油和天然气以及医疗)采用增材制造受到零件质量问题、过程可重复性和可靠性、可追溯性、可扩展性和增材制造标准有限可用性的阻碍。这些挑战本质上与生成(采样)的能力有关;捕获(进程内监控);处理(信号处理);存储(数据架构);结构(数据模式和标准);管理(可追溯性规定);分析(数据相关性和见解)并在增材制造流程链(即粉末管理,构建过程和后处理)和供应链中共享(手动数据,不同平台)高度复杂的数据。因此,数字化制造是一个关键的推动因素和解决方案,这是DAEDALUS的核心目标。DAEDALUS的目标是开发一种新颖的解决方案,结合idt (AM, IIoT/Connectivity, AI/analytics)来构建数字线程和分析解决方案,以实现AM的采用和扩展,并加速高度监管行业AM零件的认证。**增材制造数字线:**开发单一、可追溯的数字线及其灵活集成的设施/生产管理系统,以简化、标准化和数字化增材制造供应链的最佳实践,重点是粉末管理、过程和后处理优化。**AM智能:**开发人工智能解决方案,通过利用材料、传感器和过程监控数据,实现材料和过程控制和稳定性。该解决方案将在预生产和工业环境的组合中分别演示增材制造工艺链的三个步骤(粉末管理,构建过程,加工)。最后的演示将是一个数字集成的增材制造供应链:一个安全的协作、智能和独立的平台,在这个平台上,可靠的增材制造原材料和产品可追溯性数据可以在增材制造供应链合作伙伴之间安全地共享。最终的解决方案旨在提高作业效率,包括产量、材料成本和交货时间。该解决方案还将彻底改善增材制造供应链的资格和认证时间。因此,上市时间也有望得到显著改善。DAEDALUS将通过在英国供应链中锚定轻量化,电气化,定制医疗植入物和设备来影响制造业的未来,并帮助振兴相关的数字技术生态系统。
英文摘要
By enabling Additive Manufacturing (AM) parts in highly regulated sectors, DAEDALUS will help make the UK the place to manufacture the products that will drive the future of the world, addressing the UK Grand Challenges \[1\] (future electric aircraft for urban mobility and clean growth, and medical devices for ageing society).The adoption of AM in these sectors (e.g. aerospace, space, oil & gas and medical) is hindered by part quality issues, process repeatability and reliability, traceability, scalability and limited availability of AM standards. These challenges are inherently linked to the ability to generate (sampling); capture (in-process monitoring); process (signal processing); store (data architectures); structure (data schemas and standards); manage (traceability provision); analyse (data correlation and insights) and share (manual data, different platforms) highly complex data across the AM process chain (i.e. powder management, build process and post-processing) and the supply chain. Therefore, digital manufacturing is a key enabler and solution, which is the core objective of DAEDALUS.DAEDALUS is aiming at developing a novel solution, with a combination of IDTs (AM, IIoT/Connectivity, AI/analytics) to build the digital thread and analytics solutions to enable AM adoption and scale-up and accelerate qualification of AM parts in highly regulated sectors.**AM Digital Thread:** Development of single, traceable, digital thread and its flexible integration of facility/production management systems to streamline, standardise and digitalise best practices across the AM supply chain focusing on powder management, process and post-process optimisation.**AM Intelligence:** Development of AI-enabled solutions for material and process control and stability through the utilisation of materials, sensor and in-process monitoring data.This solution will be demonstrated for three steps of the AM process chain individually (powder management, build process, machining) in a combination of pre-production and industrial environments. The final demonstrator will be a digitally integrated AM supply chain: a secure collaborative, intelligent and independent platform whereby reliable AM raw material and product traceability data can be shared securely between AM supply chain partners.The final solution is intended to generate game-changing improvements in operational efficiency, including yield, material cost and lead-times. The solution will also make a radical improvement in qualification and certification times for the AM supply chain. As a result, significant improvements in time to market are also expected.DAEDALUS will influence the future of manufacturing, by anchoring light-weighting, electrification, customised medical implants and devices in the UK supply chain and help invigorating the associated digital tech ecosystem.
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国内基金
海外基金
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
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批准号:--
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项目类别:外国青年学者研究基金项目
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资助金额:--
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批准年份:2024
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负责人:江洋子
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依托单位: