Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Mechanical Engineering | en_US |
dc.contributor.advisor | Cheng, Li (ME) | - |
dc.creator | You, Xiangyu | - |
dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/8189 | - |
dc.language | English | en_US |
dc.publisher | Hong Kong Polytechnic University | - |
dc.rights | All rights reserved | en_US |
dc.title | Predicting and analyzing acoustic performance of reactive mufflers and muffler design | en_US |
dcterms.abstract | Noise is considered one of the most frustrating and pervasive sources of everyday annoyance, and acoustic mufflers are widely used as noise control devices. Muffler design has often been based on experience, which is time consuming and ineffective. To address this deficiency, sufficient acoustical analyses and numerical techniques are integrated into a design phase aimed at proposing a set of muffler design guidelines using efficient modeling and predicting tools. A full parametric study using a finite element method (FEM) for typical muffler elements is conducted, and an in-depth understanding of how typical elements affect the muffler sound attenuation performance is discussed. Finally, an industry-based project is analyzed and implemented based on the aforementioned tools. A good muffler design is achieved in the desired frequency range that also accounts for the influence of possible internal flow. | en_US |
dcterms.extent | viii, 85 pages : illustrations (some color) | en_US |
dcterms.isPartOf | PolyU Electronic Theses | en_US |
dcterms.issued | 2015 | en_US |
dcterms.educationalLevel | All Master | en_US |
dcterms.educationalLevel | M.Sc. | en_US |
dcterms.LCSH | Noise control | en_US |
dcterms.LCSH | Acoustical engineering. | en_US |
dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
dcterms.accessRights | restricted access | en_US |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
b28254041.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 3.06 MB | Adobe PDF | View/Open |
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