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Development of Hybrid Method for the Prediction of Internal Flow-induced Noise and Its Application to Throttle Valve Noise in an Automotive Engine  

Cheong, Cheol-Ung (School of Mechanical and Aerospace Engineering, Seoul National University)
Kim, Sung-Tae (School of Mechanical and Aerospace Engineering, Seoul National University)
Kim, Jae-Heon (Technical Venture T.F.T, R&D Division, Hyundai Motor Company)
Lee, Soo-Gab (School of Mechanical and Aerospace Engineering, Seoul National University)
Abstract
General algorithm is developed for the prediction of internal flow-induced noise. This algorithm is based on the integral formula derived by using the General Green Function, Lighthill's acoustic analogy and Curl's extension of Lighthill's. Novel approach of this algorithm is that the integral formula is so arranged as to predict frequency-domain acoustic signal at any location in a duct by using unsteady flow data in space and time, which can be provided by the Computational Fluid Dynamics Techniques. This semi-analytic model is applied to the prediction of internal aerodynamic noise from a throttle valve in an automotive engine. The predicted noise levels from the throttle valve are compared with actual measurements. This illustrative computation shows that the current method penn its generalized predictions of flow noise generated by bluff bodies and turbulence in flow ducts.
Keywords
Internal aerodynamic noise; Valve noise; Generalized green function; Duct acoustics; Dipole & quadrupole source;
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