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SUMMARY:Computational Fluid Dynamics for prediction of flow separation fro
 m aircraft tail surfaces - Andrea Masi (Department of Engineering)
DTSTART:20150507T121000Z
DTEND:20150507T130000Z
UID:TALK58809@talks.cam.ac.uk
CONTACT:Evros Loukaides
DESCRIPTION:Enhancing engineers' capability to predict flow separation fro
 m the surfaces of an aircraft would generate important benefits in aircraf
 t performance. In this study the attention is focused on one component of 
 the aircraft that is usually large and requires a heavy assembly: the vert
 ical tail plane (VTP). For common multi-engine commercial airliners\, the 
 size of this component is driven by a particular flight condition: loss of
  an engine during take-off and low speed climb. In this condition\, the VT
 P has to be sufficient in size to balance the aircraft. The vertical tailp
 lane is also crucial during crosswind take-off and landing\, so it is impo
 rt to study the behaviour of the flow around its surfaces in these particu
 lar flight conditions. Nowadays\, Computational Fluid Dynamics (CFD) is us
 ed for aircraft aerodynamic design\, together with experimental observatio
 ns. However\, due to uncertainties in prediction of flow separation\, engi
 neers keep to a conservative approach\, risking to oversize the aircraft s
 urfaces. This may lead to increase of fuel consumption and operative costs
 . This project studies the capabilities of different CFD techniques to pre
 dict flow separation\, and aims to research novel methods that would impro
 ve the aircraft aerodynamic design. 
LOCATION:1 Newnham Terrace\, Darwin College
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