Term of Award

Summer 2015

Degree Name

Master of Science in Applied Engineering (M.S.A.E.)

Document Type and Release Option

Thesis (open access)

Copyright Statement / License for Reuse

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


Department of Mechanical Engineering

Committee Chair

Brain L. Vlcek

Committee Member 1

Aniruddha Mitra

Committee Member 2

Biswanath Samanta


Vehicle acoustics has been found to have a direct impact on customer experience. Unexpected noises play a role in this experience. Hydraulic engine mount cavitation, the noise heard from the collapse of vapor bubbles in the mount, is considered one of those unexpected noises. During the design phase of a vehicle when an unexpected noise is found there is a need for a method to quantify how much of the noise is too much. Subjective evaluations alone are not enough due to variability from engineer to engineer. An objective way needed to be developed in order to evaluate the cavitation noise. To address this issue, an objective predictor metric of annoyance was developed. The model was developed by comparing psychoacoustic metrics to subjective ratings by means of regression analysis. Once the psychoacoustic metrics were chosen multiple regression analysis was used to develop the predictor metric.