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FLASH-COMP - Flawless and sustainable production of composite parts through a human centred digital approach

FLASH-COMP - Flawless and sustainable production of composite parts through a human centred digital approach
FLASH-COMP - 通过以人为本的数字方法完美且可持续地生产复合材料零件
批准号:
10040590
负责人:
金额:
$29.77万
依托单位:
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

项目摘要

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中文摘要
翻译
减少制造业废弃物是实现欧洲向气候中和和绿色协议目标过渡的关键挑战。在这种背景下,实现零缺陷制造范式已经成为那些想要朝着可持续生产迈出一步的欧洲生产公司的必须。复合材料在能源、航空航天、海军或汽车等欧洲战略制造业中发挥着重要作用,预测其作用将越来越大。因此,FLASH-COMP项目将开发一种以人为本的解决方案,能够尽早识别复合材料零件制造中可能存在的缺陷,并确定是否应采取纠正措施。所有的最终目标都是优化复合材料制造工艺,达到零缺陷,从而减少废物的产生。过程和产品相关。FLASH-COMP将开发无损检测和监控仪器,以检索关键工艺参数。将开发一个在线缺陷严重性评估工具,该工具将预测缺陷的出现,并将评估其严重性,以建议最佳的反馈和前馈控制策略。并将开发一个决策支持系统。此外,还将创建一个可互操作的数据共享软件平台。完整的FLASH-COMP解决方案将在测试台上进行演示,使FLASH-COMP概念和2个工业用例能够进行实验验证,确保其未来的可复制性,并为未来的结果开发铺平道路。FLASH-COMP将包括一个完整的技能发展培训计划,因为FLASH-COMP解决方案旨在帮助操作员控制和制定有关制造过程的决策。最后,该项目将处理标准化路线图的开发,以确保项目结果尽可能广泛的影响。
英文摘要
The reduction of manufacturing waste is a key challenge to achieve a EuropThe reduction of manufacturing waste is a key challenge to achieve a European transition towards climate neutrality and the goals of the Green Deal. In this context, to achieve the zero-defect manufacturing paradigm has becomes a must for those European productive companies that wants to take the step towards sustainable production. Composites play an important role in strategic European manufacturing sectors like energy, aerospace, naval or automotive, with a growing forecast. So, FLASH-COMP project will develop a human-oriented solution, capable of identifying in an early-manner feasible defectiveness in composite parts manufacturing and to determine if corrective actions should be adopted. All with the ultimate goal of optimizing the composite manufacturing process, reaching zero-defects and consequently, reducing the generation of waste ? process and product associated. FLASH-COMP will develop non-destructive inspection and monitoring instruments to retrieve key process parameters. Will develop an on-line Defect Severity Estimation Tool that will predict the appearance of defects and will estimate their severity to suggest the optimum Feedback and Feedforward control strategies. And will develop a decision support system. In addition, an interoperable software platform for data-sharing will be created. The full FLASH-COMP solution will be demonstrated in a test bed, enabling the experimental validation of the FLASH-COMP concept, and 2 industrial use cases, assuring its future replicability, and paving the way for a future exploitation of results. FLASH-COMP will include a complete skills development training program since the FLASH-COMP solution has been conceived to assist the operator in controlling and making decisions about the manufacturing process. Finally, the project will deal with the development of a standardization roadmap, to ensure the widest possible impact of project results.
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