Improvement of aerodynamic performance prediction of hawt rotor blades by a crossflow turbulence transition model

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dc.contributor.author Choi, J.H. en
dc.contributor.author Kwon, O.J. en
dc.date.accessioned 2017-08-28T07:07:25Z
dc.date.available 2017-08-28T07:07:25Z
dc.date.issued 2016 en
dc.description Papers presented to the 12th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics, Costa de Sol, Spain on 11-13 July 2016. en
dc.description.abstract In the present study, an improved laminar-turbulence transition model γ−Rẽθt−CF+ has been developed for simulating three-dimensional flow transition, including the effect of interaction between the Tollmien-Schlichting and crossflow instabilities. To accommodate the acceleration of the transition process due to the interaction between the two instabilities, a new trigger function was additionally introduced to include the effect of the crossflow instability. Since the main modification was made only in the trigger function, the present model primarily works on local flow variables, and thus can be effectively implemented in the CFD flow solvers based on unstructured meshes by inheriting the advantages of the baseline γ−Rẽθt transition model. For the validations, the present γ−Rẽθt−CF+ transition model was applied to the NREL Phase VI wind turbine rotor blade. It was found that the present model is well established, and is useful for predicting the flows involving three-dimensional laminar-turbulence transition more accurately than the γ−Rẽθt model for simulating horizontal axis wind turbine rotor blade problems. en
dc.format.extent 4 pages en
dc.format.medium PDF en
dc.identifier.uri http://hdl.handle.net/2263/61844
dc.language.iso en en
dc.publisher HEFAT en
dc.rights University of Pretoria en
dc.subject Aerodynamic performance en
dc.subject Hawt rotor blades en
dc.subject Turbulence transition model en
dc.title Improvement of aerodynamic performance prediction of hawt rotor blades by a crossflow turbulence transition model en
dc.type Presentation en


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