The MUSIC-haic project is being carried out by a consortium (led by ONERA, The French Aerospace Lab) made up of 13 partners from 4 different EU member states and the Russian Federation. The consortium consists of ONERA, CIRA, TU Braunschweig, TU Darmstadt, the Central Aerohydrodynamic Institute named after N.E. Zhukovsky (TsAGI), Airbus Defence and Space GmbH (Airbus Central Research & Technology), GE Deutschland Holding GmbH, Rolls-Royce plc, Safran Aircraft Engines, Airbus Operations SAS, Dassault Aviation, ANDHEO and ARTTIC.
SAFRAN AIRCRAFT ENGINES is one of the world’s leading manufacturers of aircraft and rocket engines. Among others, SAFRAN AIRCRAFT ENGINES designs, develops, produces and markets, alone or in partnership, engines for civil and military aircraft.
As such, SAFRAN AIRCRAFT ENGINES developed expertise for large engine icing certification, for both EASA and FAA regulations. This includes evaluation of the icing threat by empirical and analytical means, design of anti-ice systems and icing tests for engines, as well as participation to international cooperation such as Engine Ice Working Group and Ice Crystals Consortium.
Engine icing problematic being directly linked to its core business, SAFRAN AIRCRAFT ENGINES has already been involved in several successful FP7 research programmes such as HAIC or STORM, for which SAFRAN AIRCRAFT ENGINES was the coordinator.
SAFRAN AIRCRAFT ENGINES intends to produce a significant effort for the benefit of MUSIC-haic project. In particular SAFRAN AIRCRAFT ENGINES will lead the application to industrial configurations and final assessment of 3D numerical tools (WP4). In addition, specifications of tools will be established among industrial partners regarding the final use of the tools (WP3).
The main task will consist in demonstrating capability of the developed methods & tools to accurately simulate the behaviour of a realistic engine configuration in Ice crystal Atmosphere. SAFRAN AIRCRAFT ENGINES will contribute to define common test cases and will also assess the performance of the tools on a selected set of test cases issued from proprietary databases.