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Side window buffeting is simulated for a passenger car using unstructured mesh and a finite volume based CFD solver. We first provide a description of the analysis method. Two vehicle configurations are considered: front window open and rear window open. The accuracy of RNG k-ε and LES turbulence models is evaluated for this application by comparing predicted buffeting frequency spectrum with corresponding experimental measurements made in a wind tunnel. Further, the effects of several parameters on buffeting frequency and amplitude are studied. They include vehicle speed, yaw angle, inlet turbulent intensity, observer location inside the passenger compartment, presence of exhauster and side view mirror design. Simulation results prove to follow the trends observed in the experiments.

Buffeting is a wind noise of high intensity and low frequency in a moving vehicle when a window or sunroof is open and this noise makes people in the passenger compartment very uncomfortable. In this paper, side window buffeting was simulated for a typical SUV using the commercial CFD software Fluent 6.0. Buffeting frequency and intensity were predicted in the simulations and compared with the corresponding experimental wind tunnel measurement. Furthermore, the effects of several parameters on buffeting frequency and intensity were also studied. These parameters include vehicle speed, yaw angle, sensor location and volume of the passenger compartment. Various configurations of side window opening were considered. The effects of mesh size and air compressibility on buffeting were also evaluated. The simulation results for some baseline configurations match the corresponding experimental data fairly well.