Project description
Optimising the design of next-generation airframe parts
The goal of the EU-funded DOMMINIO project is to develop an innovative data-driven methodology of designing, manufacturing and certifying multifunctional and intelligent airframe parts. The project will employ a cost-effective, flexible and multi-stage manufacturing system that will combine automated tape laying and automated fibre placement to produce high-quality composite laminates and 3D-printed reinforcement elements. Advanced simulation tools, online process and quality monitoring, and structural health monitoring systems will help optimise the airframe part design. The multi-stage manufacturing systems and digital pipeline will be tested and validated in the laboratory in two representative airframe parts – a multifunctional access door panel and a leading-edge wing prototype.
Objective
DOMMINIO aims at developing an innovative data-driven methodology to design, manufacture, maintain and pre-certify multifunctional and intelligent airframe parts (composed of high-quality in-situ consolidated composite laminates and high-performance 3D-printed reinforcement elements) through a cost-effective, flexible and multi-stage manufacturing system based on the combination of robotized ATL and FFF technologies, supported by advanced simulation tools, on-line process & quality monitoring, SHM systems-enabled by embedded novel CNT-based fibre sensors and data analytics.
Innovative multifunctional thermoplastic filaments will be employed to incorporate novel continuous CNT fibre-based piezoresistive strain sensors in the laminate, to enable reversible joining (using magnetic NPs) and increase the structural integrity (using continuous CF) of the 3D-printed reinforcements. Flexible automation of ATL and FFF manufacturing processes will be enabled by the development of new laser-scanning and smart nozzle systems, the simulation of ATL plies consolidation and interlaminar delamination in FFF and the development of novel air-coupled ultrasound quality monitoring systems. Besides, advanced modelling will support the selection of right process window parameters and the optimal production planning strategy, ensuring the quality of the final component. In addition, physics- and data-driven models (Digital Twin) will provide real-time data-driven fault detection capabilities supporting the implementation of new methodologies for SHM&M of multifunctional airframe parts.
The DOMMINIO multi-stage manufacturing systems and digital pipeline will be tested and validated at lab-scale in two representative airframe parts (a multifunctional access door panel and a leading-edge wing prototype), enabling the realization of the DOMMINIO solutions in a laboratory environment, in order to assess novel MDO and MRO methodologies, their life analysis and virtual certification potential.
Fields of science
Not validated
Not validated
- engineering and technologymechanical engineeringmanufacturing engineering
- engineering and technologycivil engineeringstructural engineeringstructural health monitoring
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- social scienceseconomics and businesseconomicsproduction economics
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
Keywords
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
36410 Porrino
Spain