Objective Predictor metric of Annoyance for Hydraulic Engine Mount Cavitation

<p>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.</p>

Name thesis:degree_name

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

Level thesis:degree_level

Thesis (open access)

Discipline thesis:degree_discipline

Department of Mechanical Engineering

Year dc:date.available

2015

Author dc:creator

• Powell, John

Contributors dc:contributor

• Aniruddha Mitra
• Biswanath Samanta

• ETD
• Hydraulic engine mount
• Cavitation
• Psychoacoustic metrics
• Regression analysis
• Automotive Engineering

Repository record dc:identifier

https://digitalcommons.georgiasouthern.edu/etd/1322

OAI identifier oai:identifier

oai:digitalcommons.georgiasouthern.edu:etd-2378