New end-to-end digital framework for optimized manufacturing and maintenance of next generation aircraft composite structures.

新的端到端数字框架，用于优化下一代飞机复合材料结构的制造和维护。

• 批准号: 10047650
• 金额: $ 29.7万
• 依托单位: ZIEGLER AEROSPACE LTD
• 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
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10047650
• 关键词: New; end; digital; framework; optimized

GENEX project aims at developing a novel end-to-end digital twin-driven framework based on enhanced computational models, which embed the interdisciplinary knowledge of the aircraft components and the manufacturing/repairing processes, to support the optimized manufacturing of composites parts, enable the continuous operation of aircrafts and improve the composites repairing processes for ensuring aircraft´s safety and airworthiness. First, automated ATL process coupled with THz-based in-process monitoring together with hybrid-twin simulation methods will be developed for eco-efficient and advance manufacturing of innovative reprocessable repairable-recyclable (3R)-resin-and state-of-the-art thermoplastic composites. Second, innovative data- and physics-based machine learning algorithms for damage detection and location combined with advanced high-performance computing (HPC)-based multi-physics and artificial intelligent-powered digital twin tools for fatigue life prediction, will be implemented to transform information from optimized onboard piezoresistive sensors data networks interfaced with low-power wireless communication platform to health and usage assessment and prognosis. Third, augmented reality tools together with novel laser-assisted methods for surface cleaning and monitoring, smart monitoring and in-situ tailored heating of composite repair blankets will be further developed to provide additional assistance in manual scarf repair operations, increasing reliability of repair process, while supporting the modification and virtual certification of MRO practices. Thus, a novel digital twin-driven framework will be implemented into a common IIoT platform to integrate the developed models and data acquired, providing bidirectional dataflow, and enabling the implementation of a holistic and comprehensive data management methodology ensuring to adequately create, capture, share, and reuse knowledge along the entire aircraft lifecycle.

Genex Project旨在开发基于增强的计算模型的新型端到端数字双驱动框架，该框架嵌入了飞机组件和制造/维修过程的跨学科知识，以支持公司零件的优化制造，启用飞机的连续运行，并改善飞机的维修过程，以确保飞机的安全性和航空设施。首先，将开发自动化的ATL工艺，以及基于THZ的过程中的监视以及混合型型仿真方法，用于生态效率高效，并提前生产创新的可修复可修复可修复的可修复（3R）和最先进的热塑性塑料组成。其次，用于损害检测和位置的创新性数据和物理学的机器学习算法与先进的高性能计算（HPC）基于基于的多物理学和人工智能驱动的数字双工具，用于疲劳生命预测，可实现从优化的板上造成的信息网络和低电位的较低型号的信息，以从优化的信息中转换信息。第三，将进一步开发增强的现实工具以及新型激光辅助方法，用于表面清洁和监测，智能监控和量身定制的复合修复毯的加热，以在手动围巾维修操作的可靠性方面提供额外的帮助，同时支持MRO实践的修改和虚拟认证。这是一个新颖的数字双胞胎驱动框架将被实施到一个共同的IIT平台中，以整合开发的模型和数据获取，提供双向数据流，并促进实施整体和全面的数据管理方法，以确保充分创建，捕获，共享，共享和重用整个飞机生命周期的知识。