University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Operations based optimisation using simulation and CFD

Doherty, JJ, Clifton, DP, Gillan, MA and Ciampoli, F (2007) Operations based optimisation using simulation and CFD Collection of Technical Papers - 45th AIAA Aerospace Sciences Meeting, 14. pp. 9358-9372.

Race Car Optimisation.pdf
Available under License : See the attached licence file.

Download (788kB)
Text (licence)

Download (33kB)


An initial investigation of an optimisation based approach for design across a continuous range of operating conditions is presented. The objective for this 'operations based optimisation' approach is to avoid the need to choose critical design point conditions and associated weighting factors by tackling the overall operational performance instead. The approach integrates numerical optimisation, response surface modelling, CFD and operational simulation. An optimisation test bed involving the aerodynamic optimisation of a Champ Car rear wing assembly for reduced lap time using track simulation has been developed to assess the new optimisation approach. Details of the operations based optimisation approach and the Champ Car test bed are reported. Results generated using the new approach are presented and the wider potential of the approach for aerospace applications is discussed.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences
Authors :
Doherty, JJ
Clifton, DP
Gillan, MA
Ciampoli, F
Date : 2007
Uncontrolled Keywords : Racecar, Aerodynamic Design, Aerodynamic Optimization, Lap Simulation
Additional Information : Copyright AIAA 2007 Collection of Technical Papers - 45th AIAA Aerospace Sciences Meeting
Depositing User : Symplectic Elements
Date Deposited : 19 Nov 2012 14:31
Last Modified : 31 Oct 2017 14:44

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800