|Coordinatore||UNIVERSITA DEGLI STUDI DI PADOVA
address: VIA 8 FEBBRAIO 2
|Nazionalità Coordinatore||Italy [IT]|
|Totale costo||381˙600 €|
|EC contributo||286˙200 €|
Specific Programme "Cooperation": Joint Technology Initiatives
|Anno di inizio||2010|
|Periodo (anno-mese-giorno)||2010-07-01 - 2011-12-31|
UNIVERSITA DEGLI STUDI DI PADOVA
address: VIA 8 FEBBRAIO 2
address: Galleria Storione 8
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'The present proposal describes the methodology to be used for an efficient optimization of both the intake and exhaust geometry of a tiltrotor nacelle. Specific objectives of such activity are the following: i) to set up of a comprehensive and fully automatic optimal design tool, integrating the software in use at the GRC consortium and in-house optimizer already developed by the applicant; ii) to implement efficient and robust optimization strategies which help the obtainment of optimal geometry using reasonable computing time; iii) to implement, test and run such tool within the industrial design procedure currently available at the GRC consortium; iv) to apply such tool for the efficiency improvement of both the nacelle intake and the exhaust ducts in order to achieve a significant reduction in the nacelle installation losses. Methodology Objectives i) and iii) will be achieved by means of a dedicated programming activity where the software tools will be interfaced together and with the proprietary optimization tool by the applicant. The result will be a procedure where meshing, geometrical/grid manipulation, as well as CFD analyses will form an automatic loop. Objective ii) will be guaranteed by the capability of the optimizer to efficiently handle complex multiobjective problems; the optimization chain will be conceived in such a way that the user can interact with the optimizer and monitor the whole process as it takes place. Objective iv) will be pursued by applying the optimization tool to review the basic intake and exhaust design, with the aim of minimizing any detrimental effects on both drag and engine installation. Finally, the optimized geometry will be checked for compliance with feasibility constraints in order to accomplish industrial needs for prototyping and testing.'
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