Periodic Reporting for period 1 - E-BRAKE (Design, Manufacturing and Qualification up to TRL5 of Innovative Electro-Mechanical BRAKE actuation System for SAT Application)
Reporting period: 2018-11-01 to 2020-04-30
E-BRAKE’s contributions and Impacts
By decreasing the weight, lead-time, manufacturing and operational costs of the braking system, E-BRAKE increases the competitiveness of Small Aircraft category. The new proposed technologies and the results provided by the E-BRAKE project will be applicable to other aircraft and helicopter categories, thus strengthening the competiveness of the entire Europe’s air transport system as a whole.
By improving the safety and the reliability of the braking system, E-BRAKE partners will assure the improvement of the transport sector based on SAT.
Minimal impact of transportation on the environment through key innovations
E-BRAKE targets the development of a new ebrake based on new concept by combining several new design approaches and technologies. In the design approach, the advanced control logic will also contribute in obtaining an optimized system in terms of safety and reliability. The weight reduction is another expected impact and goal foreseen by the E-BRAKE consortium.
Guaranteeing Europe’s balance of trade, economic growth and competitiveness
The achievements of E-BRAKE ambitious goals will allow a strong refinement of aircraft key system with the strengthening of European supply chain (incorporated by this project’s partners, but not limited to it). The final prototype of E-BRAKE project will easily become a product, thus contributing to European economic growth and competiveness.
Building industrial leadership in Europe
Larger impacts on the application of these technologies are expected, not only in aviation, but as well in other spill-over areas. Hence, this project will help retain Europe’s industrial leadership, not only within the aeronautical industry, but also in other high-tech industries (i.e. automotive).
Retention and growth of highly skilled jobs, supporting Europe’s knowledge economy
E-BRAKE will support the growth of Europe’s knowledge pool, as well as retaining and growing highly skilled jobs within the Union.
During this period, study and definition of prognostic algorithms started too. Defined mechanical and electrical interfaces. Definitive design activity started. Machine learning algorithm formulation for the definition of landing surfaces completed.
Such activities were aimed at fulfilling the milestones of the Detailed Technical Specification (DTS) and of the Preliminary Design Review (PDR), The corresponding deliverables were achieved within the deadlines scheduled in the applicable Description of Action (DoA).
The progress of the activities is in line with the forecasts and the times are respected, in particular the activities performed by the Consortium and the results were collected in the following Deliverables, which include the Detailed Technical Specification (DTS) with the and Preliminary Design Review (PDR) documents:
D1.1 - Proof of signature of Implementation /ITD CA/internal CA
D1.2 - Plan for Communication, Dissemination and Exploitation of project results
D1.4 - Technology Readiness Level (TRL) Documentation
D1.5 - Data Management Plan
D2.1 - Detailed technical specification for the landing gear brake actuation systems
D3.1 Technical Summary of the PDR meeting
Results of the literature survey revealed that these aspects are still under investigation, but the cost of such materials is the main limitation on their use for the aircraft model under investigation.
Carbon fiber material is the lightest solution and offer several advantages compared to the first two options. However, one of the most disadvantages, as reported above, is the high cost. In the light of cost reduction, the CRdC suggested the use of Nano coatings developed via the Cold Spray technology as potential alternative brake materials.
The purpose of this innovative project is to create a coating on the brake rotor surface in order to improve its properties. This coating must have specific mechanical properties.
For both Self-Learning Antiskid and Prognostic Algorithms, the identification of a novel optimal slip estimation strategy started from an intuition, which is quite new with respect to the available literature: the road-tire curve μ(λ) can be inferred by analyzing sequences of pairs (λ,μ) collected during the braking procedure. That is using sequences of pairs as input feature for a multilayer neural network (Multi-Layer Perceptron-MLP) this estimates directly the best slip value of the landing surface: The use of a sequence of pairs allows to embed in the network the history of the braking, hence allowing to discriminate among the various possible friction curve.