WINGTECH_EVALUATION
WING BOX TECHNOLOGY EVALUATION - TRADE-OFF STUDY FOR THE RANKING OF NEW TECHNOLOGIES BEST FITTING WING
| Coordinatore | ENGINSOFT SPA
Organization address
address: VIA DELLA STAZIONE 27 contact info |
| Nazionalità Coordinatore | Italy [IT] |
| Totale costo | 119˙687 € |
| EC contributo | 89˙765 € |
| Programma | FP7-JTI
Specific Programme "Cooperation": Joint Technology Initiatives |
| Code Call | SP1-JTI-CS-2010-01 |
| Funding Scheme | JTI-CS |
| Anno di inizio | 2011 |
| Periodo (anno-mese-giorno) | 2011-06-01 - 2012-09-30 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
ENGINSOFT SPA
Organization address
address: VIA DELLA STAZIONE 27 contact info |
IT (TRENTO) | coordinator | 64˙790.00 |
| 2 |
ENGINSOFT TO SRL
Organization address
address: CORSO MONCALIERI 171 INTERNO 10 contact info |
IT (TORINO) | participant | 24˙975.00 |
Mappa
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Obiettivo del progetto (Objective)
'The activities encompassed in this proposal, aimed to provide a trade-off study between a reference wing stub box design and alternative advanced designs of the same structure incorporating new technologies, will exploit a methodological approach, which will allow to efficiently solve the simulation problem, by tackling all possible issues related to management of the geometries, definition of a high-quality mesh, application of specific composite material behavior laws, up to loading, solution and post-processing. The advanced character of the forecast approach is linked to the following aspects: - the complete modeling process will be integrated into a parametrized global process flow that, under the control of the Multi-Objective Optimization algorithms implemented within the modeFRONTIER tool, will allow a quick and complete exploration of the influence of the parameters that can influence the system performances; - the complete set of analyzed models will be explored (again using the modeFRONTIER tool) to rank them with respect to their key performances and to select the optimal candidate(s) considering the multiple selected objectives, by exploiting the mostly advanced Multi Criteria Decision methods.'