VOCAL-FAN

VIRTUAL OPTIMIZATION CFD PLATFORM ALLOWING FAN NOISE REDUCTION

Coordinatore	ENGINSOFT SPA    more  Organization address address: VIA DELLA STAZIONE 27 city: TRENTO postcode: 38100 contact info Titolo: Mr. Nome: Lorenzo Cognome: Bucchieri Email: send email Telefono: +39 035 368711 Fax: +39 035 362970
Nazionalità Coordinatore	Italy [IT]
Totale costo	199˙115 €
EC contributo	149˙335 €
Programma	FP7-JTI Specific Programme "Cooperation": Joint Technology Initiatives
Code Call	SP1-JTI-CS-2010-03
Funding Scheme	JTI-CS
Anno di inizio	2011
Periodo (anno-mese-giorno)	2011-02-01   -   2013-03-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	ENGINSOFT SPA  Organization address address: VIA DELLA STAZIONE 27 city: TRENTO postcode: 38100 contact info Titolo: Mr. Nome: Lorenzo Cognome: Bucchieri Email: send email Telefono: +39 035 368711 Fax: +39 035 362970	IT (TRENTO)	coordinator	149˙335.00

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 Obiettivo del progetto (Objective)

'The activities encompassed by this proposal consist in the development and exploitation of a methodological approach, suitable for the optimization of the fan and duct geometries in an electrical machine, with the aim to improve both the aerodynamic and acoustical performance of the system. The global activity will consist in a first baseline CFD calculation, a screening of different fan designs and finally an optimized fan design in terms of fluid dynamic performance and noise reduction. The advanced character of the forecast approach is linked to the following aspects: a) the implementation of the most advanced algorithms and procedures for CFD simulation; b) the exploitation of Design Of Experiment algorithms during the initial screening phase and for the preliminary selection of the most relevant parameters; c) the development of a simulation process flow controlled by Multi-Objective Optimization algorithms, which will allow a complete exploration of the influence of the parameters affecting the system performances, and Response Surfaces algorithms, which will allow the interpolation of the database of virtual (and experimental) data and the definition of an expert system; d) the ranking of the analyzed models, with respect to their key performances, and the selection of the optimal candidate(s), considering the multiple selected objectives, by means of the mostly advanced Multi Criteria Decision methods. Thus the present proposal is meant to develop a fully integrated software platform based on the most advanced functionalities of the following tools: 1) ANSYS-CFX, whose functionalities and capabilities are worldwide recognized for their completeness and robustness; 2) modeFRONTIER, one of the most advanced software tool for the optimization and the process integration available on the market.'