Predicting Fluid Driven Whistles in Automotive Intake and Exhaust Systems

2016-01-1820

06/15/2016

Event
9th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference
Authors Abstract
Content
This work explores how fluid driven whistles in complex automotive intake and exhaust systems can be predicted using computationally affordable tools. Whistles associated with unsteady shear layers (created over for example side branches or perforates in resonators) are studied using vortex sound theory; vorticity in the shear layer interacts with the acoustic field while being convected across the orifice. If the travel time of a hydrodynamic disturbance over the orifice reasonably matches a multiple of the acoustic period of an acoustic feedback system, energy is transferred from the flow field to the acoustic field resulting in a whistle. The actual amplitude of the whistle is set by non-linear saturation phenomena and cannot be predicted here, but the frequency and relative strength can be found. For this not only the mean flow and acoustic fields needs to be characterized separately, but also the interaction of the two. The flow field is studied using steady state CFD simulations while the acoustic field is calculated with a standard linear acoustics solver. Already from this information one could derive design charts. But to pin point the whistle the interaction of the two fields is needed. This can be achieved numerically or experimentally. In this case available experimental data from other geometries have been rescaled for use in the present case. Finally, linear stability theory is applied to the complete system. Using the proposed method the whistling frequency of a complex intake prototype system was predicted very accurately.
Meta TagsDetails
DOI
https://doi.org/10.4271/2016-01-1820
Pages
7
Citation
Karlsson, M., Knutsson, M., and Abom, M., "Predicting Fluid Driven Whistles in Automotive Intake and Exhaust Systems," SAE Technical Paper 2016-01-1820, 2016, https://doi.org/10.4271/2016-01-1820.
Additional Details
Publisher
Published
Jun 15, 2016
Product Code
2016-01-1820
Content Type
Technical Paper
Language
English