Date of Award

Winter 2014

Publication Type

Master Thesis

Degree Name



Mechanical, Automotive, and Materials Engineering

First Advisor

Carriveau, Rupp

Second Advisor

Ting, David


Applied sciences, Aeroacoustics, Computational fluid dynamics, Noise prediction, OpenSource Field Operation and Manipulation, Wind noise



Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.


This research presents an approach in predicting the presence of a noise source generated by the external flow around a fin-like member of a vehicle front grill. The goal was to determine if a low-resource computational method could be used to capture the pressure fluctuations related to the noise frequencies audible during experimental evaluations on the geometry. Two nearly identical profiles were studied where would generate wind noise in the presence of high velocity flow and the other would not. Several simulations were run on both shapes in four arrangements using incompressible and compressible solvers in attempts to determine an accurate and efficient way in capturing the phenomenon. Results have shown that incompressible cases will only capture the pressure fluctuations of shedding vortices and that a compressible simulation of multiple profiles arranged similar to the construction of the actual grill component generates results closest to those of the experiments.