CLFCWTE

Development of a Closed Loop Flow Control Algorithm for Wing Trailing Edge Flow Control Including Experimental Validation in Two Low Speed Wind Tunnel Tests

 Coordinatore UNIVERSITY OF SOUTHAMPTON 

 Organization address address: Highfield
city: SOUTHAMPTON
postcode: SO17 1BJ

contact info
Titolo: Ms.
Nome: Yan
Cognome: Qiao
Email: send email
Telefono: +44 23 8059 3907
Fax: +44 23 8059 6841

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 559˙191 €
 EC contributo 419˙393 €
 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) 2011-06-01   -   2013-12-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSITY OF SOUTHAMPTON

 Organization address address: Highfield
city: SOUTHAMPTON
postcode: SO17 1BJ

contact info
Titolo: Ms.
Nome: Yan
Cognome: Qiao
Email: send email
Telefono: +44 23 8059 3907
Fax: +44 23 8059 6841

UK (SOUTHAMPTON) coordinator 419˙393.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

flow    active    pulsed    performance    closed    air    separation    tunnel    mid    algorithm    trailing    loop    travel    wing    blowing    edge    wind    flap   

 Obiettivo del progetto (Objective)

'Smart Fixed Wing Aircraft (SFWA) aims to develop and test passive and active flow control technologies to improve the high lift performance of a wing. The purpose of this research is to develop and demonstrate a closed loop flow control to minimise the separation on a trailing-edge flap. The active flow control will improve the aerodynamic performance by delaying the trailing-edge separation on a single element trailing-edge flap. The flow control will be pulsed blowing applied near the leading-edge region of the flap. The pulsed blowing will be through spanwise segmented slots. A closed loop flow control system will be designed to demonstrate flow control on a mid-scale wind tunnel model. The Topic Description calls for two directions of closed loop flow control methods. The first is a pre-modelled approach which would allow the calibrating of the algorithm. This algorithm development will be devoted for future use in flight test activities. The second method is an adaptive algorithm, which will be adjusted by a “learning-by-doing” system. This approach will be demonstrated in mid-scale wind tunnel tests.'

Introduzione (Teaser)

Air travel has changed the lives of millions, bringing them closer to business opportunities, friends and family, and long-dreamed-of vacation spots. Novel technology to control air flow over wings promises to make that travel greener.

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