Research on wind buffeting noise characteristics of a vehicle based on ILRN and DES-ILRN methods

Abstract

In view of the unsatisfactory calculation accuracy of common turbulence models, two improved models, called improved low-Reynolds number (ILRN) k−ε and Detached EddySimulation (DES)-ILRN are proposed. Basing on the low-Reynolds number (LRN k−ε) turbulence model in this paper, revised concepts include the introduction of turbulence time scale, eddy viscosity coefficient limitation concept and separation perception model. Otherwise, the DES model is improved by introducing the ILRN model. The accuracy of the two models is validated through wind tunnel test. Then, the wind buffeting noise from rear windows is received by ILRN and DES-ILRN turbulence models, and the obtained results are compared with the road test. The accuracy of ILRN and DES-ILRN turbulence models in calculating wind buffeting noise of a real vehicle is validated by experiment. ILRN and DES-ILRN models are applied to research the wind buffeting noise, and good calculation results are obtained. They are promising methods to solve wind buffeting noise problems.

Keywords

Improved low-Reynolds number (ILRN)DES-ILRN wind buffeting noise calculation accuracy turbulence model

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