Mang, Scott
(2013)
Investigation of Performance Evaluation and Design Techniques for Large Industrial Mufflers.
Master's Thesis, University of Pittsburgh.
(Unpublished)
Abstract
This document is the culmination of an investigation into the techniques used to design and evaluate the
acoustic performance of large industrial mufflers using three-dimensional acoustic theory. Three
performance criteria were considered. These criteria were noise reduction (NR), insertion loss (IL), and
transmission loss (TL). Three different large sized mufflers were considered in this study. Each muffler
was experimentally evaluated through field measurements. These field measurements were then used to
validate finite element analysis (FEA) software that is designed to predict muffler performance. A method
to corroborate in situ measurements with idealistic FEA simulations was developed. Once the software
was validated, it was used to perform parametric studies that investigated the effects of certain muffler
design elements on the TL performance of the muffler. The parametric studies yielded a significantly
better understanding of the effects of individual muffler features, and their role in a complex geometry.
Share
| Citation/Export: |
|
| Social Networking: |
|
Details
| Item Type: |
University of Pittsburgh ETD
|
| Status: |
Unpublished |
| Creators/Authors: |
|
| ETD Committee: |
|
| Date: |
24 September 2013 |
| Date Type: |
Publication |
| Defense Date: |
25 June 2013 |
| Approval Date: |
24 September 2013 |
| Submission Date: |
18 July 2013 |
| Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
| Number of Pages: |
178 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
Swanson School of Engineering > Mechanical Engineering |
| Degree: |
MS - Master of Science |
| Thesis Type: |
Master's Thesis |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
INVESTIGATION OF PERFORMANCE EVALUATION AND DESIGN TECHNIQUES
FOR LARGE INDUSTRIAL MUFFLERS |
| Date Deposited: |
24 Sep 2013 20:16 |
| Last Modified: |
15 Nov 2016 14:14 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/19374 |
Metrics
Monthly Views for the past 3 years
Plum Analytics
Actions (login required)
 |
View Item |
![[feed]](/images/feed-icon-32x32.png){kind=icon}