Interpretation of waverider performance data using computational fluid dynamics
Author(s) -
Charles E. Cockrell
Publication year - 1994
Publication title -
journal of aircraft
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.64
H-Index - 94
eISSN - 1533-3868
pISSN - 0021-8669
DOI - 10.2514/3.46616
Subject(s) - computational fluid dynamics , drag , lift (data mining) , lift to drag ratio , hypersonic speed , aerodynamics , mechanics , aerospace engineering , computer science , engineering , physics , data mining
A computational study was conducted to better understand experimental results obtained from wind tunnel tests of a Mach 4 waverider model and a comparative reference configuration. The experimental results showed that the performance of the reference configuration was slightly better than that of the waverider model. These results con- tradict waverider design theory, which suggests that a waverider optimized for maximum lift-to-drag should provide better performance than any other non-waverider configuration at a given design point, especially at hypersonic speeds. The computational results showed that the predicted surface pressure values and the integrated lift and drag coefficients from the pressure distributions were much lower for the reference model than for the flat-top model, due to the reference model bottom surface having a slight expansion. The lift-to-drag ratios for the flat-top model were higher due to a relatively low drag for the same amount of lift. These results indicate that the performance advantage of the reference model was due to the shape of the bottom surface and not due to the flat top surface. The results also showed that the reference model exhibited the same shock attachment characteristics as the waverider because the planform shapes were identical. CFD predictions show that the planform shape gives the waverider an advantage in performance over conventional hypersonic vehicles and that altering the bottom surface of a waverider does not cause significant performance degradation.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom