The MUSIC-haic project is a research and innovation action funded by the EU through the H2020 programme which aims to build on past research projects and existing multi-disciplinary tools to provide the aeronautic industry with an Ice Crystal Icing (ICI) numerical capability usable for both design and certification purposes.
MUSIC-haic has a total budget of 5.1 million euros of which 4.8 million will be financed by the EU.
The four-year long MUSIC-haic project started on 1st September 2018 and ultimately aims to deliver a better physical understanding of mixed phase and ice crystal accretion phenomena, a set of improved and better validated models for all the underlying elementary physical processes, as well as 3D multiphysics mature simulation tools (TRL5-6) able to simulate ICI in real conditions and to support pre-design, design and certification of engines and aircraft.
Context and objective of the MUSIC-haic project
Icing is a major hazard for aviation safety. In the last decades an additional risk has been identified when flying in clouds with high concentrations of ice-crystals where ice accretion may occur on warm parts of the engine core, resulting in engine incidents such as loss of engine thrust, strong vibrations, blade damage, or even the inability to restart engines. Performing physical engine tests in icing wind tunnels is extremely challenging, expensive and currently limited to partial tests for engine components.
The need for the European aeronautics industry to use numerical simulation tools able to accurately predict ICI (Ice Crystal Icing) is therefore urgent and paramount, especially regarding the development of the new generation engines (UHBR, CROR, ATP) which are expected to be even more sensitive to the ICI threat than current in-service engines and for which comparative analysis methods will not be applicable any more.
MUSIC-HAIC will complete the development of ICI models, implement them in existing industrial 3D multi-disciplinary tools, and perform extensive validation of the new ICI numerical capability through comparison of numerical results with both academic and industrial experimental data.
The resulting capability will allow the replacement of physical tests by cheaper virtual tests, which would be easier to configure and run permitting substantial gains in development costs and allowing more design choices to be explored and de-risked.
Most importantly, MUSIC-haic will provide the aeronautical sector with the confidence to move away from a step-by-step incremental evolution of engine design to a more radical breakthrough approach, because the ability to simulate the behaviour of ICI on these designs with a high degree of confidence will be available. This will reinforce the competitiveness of the European aircraft and engine manufacturers. MUSIC-haic will also enhance the expertise of the scientific and research community on ICI.
The MUSIC-haic project is being carried out by a consortium of 13 organisations from 4 different EU member states and the Russian Federation.
Instructions pour ALGOFACTORY: il faudrait ajouter à la suite de ce texte la liste des participants :
Project coordinator :
OFFICE NATIONAL D'ETUDES ET DE RECHERCHES AEROSPATIALES – THE FRENCH AEROSPACE LAB
Project participants :
CENTRO ITALIANO RICERCHE AEROSPAZIALI SCPA https://www.cira.it/en
TECHNISCHE UNIVERSITAET BRAUNSCHWEIG https://www.tu-braunschweig.de/
TECHNISCHE UNIVERSITAT DARMSTADT https://www.tu-darmstadt.de/index.en.jsp
FEDERAL STATE UNITARY ENTERPRISE THE CENTRAL AEROHYDRODYNAMIC INSTITUTE NAMED AFTER PROF. N.E. ZHUKOVSKY (TsAGI) http://www.tsagi.com/
AIRBUS DEFENCE AND SPACE GmbH http://www.airbusgroup.com
GENERAL ELECTRIC DEUTSCHLAND HOLDING GmbH https://www.ge.com/
ROLLS-ROYCE PLC https://www.rolls-royce.com/
SAFRAN AIRCRAFT ENGINES https://www.safran-aircraft-engines.com/
AIRBUS OPERATIONS SAS https://www.airbus.com/
DASSAULT AVIATION https://www.dassault-aviation.com/fr/
Dr Philippe VILLEDIEU - Scientific Deputy Director
Department of MultiPhysics for Energetics (DMPE), ONERA
« This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 767560.”