URN |
etd-0726116-133043 |
Statistics |
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|
Author |
Li-Ru Gao |
Author's Email Address |
No Public. |
Department |
Department of mechanical engineering |
Year |
2015 |
Semester |
2 |
Degree |
Master |
Type of Document |
Master's Thesis |
Language |
zh-TW.Big5 Chinese |
Page Count |
67 |
Title |
Finite Element Model Updating and Hanger Location Optimization for an Automotive Exhaust System |
Keyword |
Exhaust system
Resonance
Optimum design
Finite element model updating
Natural frequency
Natural frequency
Finite element model updating
Optimum design
Resonance
Exhaust system
|
Abstract |
Automotive exhaust systems serve to cleanify and disperse the high- temperature, exhausted gas from the power-generating process of the engine. If the natural frequencies of the exaust system coincide with the ideling speed of the engine, resonance will likely to occur and severe vibration and excessive noise may follow. As a consequence, a premature damage on the exhaust system may arise. In this research, the exhaust system of a 2006 TOYOTA Camry was investigated to study its resonant characteristics with the running engine, without considering the vibrational effects from the ground and other sources. Experimetal modal testing and finite element analysis were first conducted to extract the exhaust systemˇ¦s natural frequencies and mode shapes, which were then compared and coorelated to update a set of finite element input parameters and to ensure the results from both methods match. Connecting the exhaust system and the chassis are the hangers, which not only support the weight of the exhaust system but also provide cushion and damping to the system. In this thesis, the rubber hangers were simplified and modeled by a set of springs with equivalent spring constants, and by adjusting the locations of the hangers, the possibility of resonance between the system and ideling engine was minimized. The results shows that the discrepancy between the updated and the experimental frequencies was 1.303%, and the resonance modes were reduced to two after optimization. |
Advisor Committee |
Kun-Nan Chen - advisor
none - co-chair
none - co-chair
|
Files |
indicate in-campus access immediately and off-campus access at 5 years |
Date of Defense |
2016-07-25 |
Date of Submission |
2016-07-27 |