Analysis of satellite-derived data for the study of fouling in aircraft engines

Abstract Atmospheric particulate is one of the main causes performance degradation in gas turbine engines, especially aeronautical field where filter barriers are absent. The ingested particles can stick to blade surfaces engine, varying their shape and roughness. As a consequence, engine takes place. type amount depend on flight zones altitude. During missions, aircrafts follow prescribed path defined terms altitude, longitude, latitude. its route, aircraft encounters different environments characterized by temperature, pressure, air composition. Regarding latter issue, knowledge this characteristic be key information when these statistics needed for obtaining data useful assessment or prediction. Many satellites, such as environmental satellite CALIPSO, employed study terrestrial aerosol clouds profile using LIDAR (Laser Detection Ranging). This technology commonly used determine distance between light emitter an object it based refraction phenomenon. Backscatter coefficients profiles data, which characterize distribution aerosols atmosphere, available open literature from findings CALIPSO. In work, new methodology estimate concentration encountered during mission proposed. To test feasibility method, two missions length scales (medium long haul) analyzed engines provided. analysis has been conducted discretizing altitude profile, latitude coordinates each then cross-referencing them with obtained CALIPSO data.