Objective
To achieve lower Specific Fuel Consumption (SFC) and CO2/NOx emissions, modern turbomachineries operate at high velocities and high temperature conditions. The lack of confidence in the prediction of combustor-turbine interactions leads to apply extra safety margins on components design. Therefore, the understanding of combustor-turbine flow field interactions is mandatory to preserve High Pressure Turbine (HPT) life and performance when optimising the design of new HPT. The FACTOR objective is to optimise the combustor turbine interactions design to develop low-cost turbines and reduce SFC by 2%, HPT weight by 1.5% and accordingly engine cost by 3% compared to the results from the TATEF2 and AITEB2 projects.
To achieve this objective, FACTOR will develop and exploit an innovative test infrastructure coupling a combustor simulator with a HPT for aerodynamic and aerothermal measurements. The infrastructure will improve the knowledge of aerothermal external flows since the inlet profile of the turbine and the secondary flows will be modelled and optimised together in the same facility, under engine representative conditions. Collected data will be fed into the design techniques and simulation software used to optimise HPT components. In parallel, the use of advanced CFD (e.g. LES or DES) will provide new knowledge on wall temperature and heat transfer predictions. This will be particularly important to design future combustor-turbine systems in an integrated manner, especially for the next generation of lean burn combustion systems having complex and severe flow constraints.
By optimising the combustor-HPT interaction, FACTOR project will contribute to achieving the 50% CO2 and 80% NOx reductions ACARE 2020 environmental objectives. FACTOR will also strengthen the competitiveness of the European aeroengine industry by making available a new test infrastructure with experimental abilities beyond those of the US.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technology environmental engineering energy and fuels
- natural sciences computer and information sciences software software applications simulation software
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-AAT-2010-RTD-1
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
75015 Paris
France
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Participants (23)
00187 ROMA
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31057 TOULOUSE CEDEX
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51147 KOLN
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4432 ALLEUR
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52428 JULICH
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80-231 Gdansk
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48170 Zamudio-Vizcaya
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80995 Muenchen
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Participation ended
80995 MUENCHEN
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91120 Palaiseau
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25135 BRESCIA
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15827 Blankenfelde-Mahlow
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SW1E 6AT London
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612 83 FINSPANG
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64510 Bordes
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CB2 1TN Cambridge
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50121 Florence
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OX1 2JD Oxford
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46181 Trollhaettan
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1640 Sint-Genesius-Rode
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35 078 Rzeszow
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75008 Paris
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10040 Rivalta Di Torino
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