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Contribution to optimisation of heavy helicopter engine installation design

Objectif

Goals.
The proposal describes the methodology to be used for engine installation design optimization in heavy helicopters. Specific objectives of such activity are the following:
i) to set up of a comprehensive and fully automatic optimal design tool, integrating the software suitable for engine intallation analysis and in-house multi-objective optimization algorithms already developed by the applicant;
ii) to apply such tool for the efficiency improvement of engine installation components based on the boundary conditions given by the manufacturer, in order to achieve a significant reduction in the engine installation losses.

Methodology.
Objectives will be achieved by means of a dedicated programming and simulation activity, where the software tools available at the consortium premises for the design and analysis of engine installation performance will be interfaced together and with the optimization tool proposed by the applicant. The result will be a robust procedure where only the initial geometry importation and paremetrization will be carried out off-line, while meshing, geometrical/grid manipulation, as well as CFD analyses will form an automatic loop.

Expected results.
a) Final optimized geometries of engine installation components will be provided according to the design objectives and constraints defined by the Topic Manager. Benefits of the final optimized geometries will be determined.
b) A quantification of overall margins of improvement with respect to the baseline configuration will be provided.
c) Recommendations for the ultimate design and manufacturing of practical engine
installation systems will be provided.

Appel à propositions

SP1-JTI-CS-2010-04
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Coordinateur

UNIVERSITA DEGLI STUDI DI PADOVA
Adresse
Via 8 febbraio 2
35122 Padova
Italie

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Région
Nord-Est Veneto Padova
Type d’activité
Higher or Secondary Education Establishments
Contact administratif
Guido Ardizzon (Prof.)
Liens
Contribution de l’UE
Aucune donnée

Participants (2)