Objective
The overall goal of the project is focused on incrementing the efficiency of Electro-Mechanical and Electro-Hydrostatic systems in terms of extending the life and improving the reliability and enhancing the performance of the maintenance activities of wing actuation systems. With this objective in mind, the activities within the project have been oriented to the following goals:
To investigate innovative and alternative sealing solutions that able to reduce the friction, wear and leakage at high level of deformation monitored in accelerated seal tests and can increase lifetime to thermal cycles.
To investigate innovative and alternative lubricant solutions that are able to reduce friction and wear and to increase extreme pressure properties, increasing the temperature limit and time to a fixed temperature in Differential Scanning Calorimetry and Thermogravimetry measurements, in relation to reference lubricants.
To provide new oil sensing systems to monitor the status of the lubricant with a twofold aim: identify faulty conditions and extend the life of the lubricant.
To control the lifetime of the gears materials and lubricants by means of accelerated simulated tests reproducing the micropitting/pitting lifetime and confirming for best materials/lubricants combination, using real gear testing benches, reproducing the generation of main failure mechanisms monitoring in parallel both vibrations and wear using oil sensors, in order to create the right knowledge for conditions monitoring.
To develop, implement and integrate Health Monitoring algorithms to predict failures before affecting the actuator output in a critical way, addressing some mechanical parts of the actuation systems such as seals, gearbox, screwballs, etc..
The project has clear objectives to mature technologies to extend the life of EMAs and EHA: In this scenario, ISSELUB aims to address the challenge of extending the life of EMAs and EHA.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologymechanical engineeringtribologylubrication
- natural scienceschemical sciencesanalytical chemistrycalorimetry
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaeronautical engineering
Programme(s)
Funding Scheme
CS2-RIA - Research and Innovation actionCoordinator
20600 Eibar Guipuzcoa
Spain