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Prediction of sound transmission characteristics of multiple elastomeric bulb seals
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Date
2017
Author
Barutçu, Burak Nebil
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Prevention of transmitted sound through car doors is a critical issue; as doors are the weakest parts of a car assembly in terms of sound isolation performance. Main path for sound transmission is through the seals between the car body and the door. Hence, the examination of sound transmission loss characteristics of seals between the car body and door is important to improve the sound isolation characteristics of the door assembly. The aim of this research is prediction of the sound transmission characteristics of multiple elastomeric bulb seals used between the car door and body. Generally, two bulb seals are used; the first one is attached to the main body of the car and the other is attached to the door. Those elastomeric sealants should be examined together to improve the total sound insulation performance. Prediction of sound transmission characteristics of multiple elastomeric bulb seal system is the main objective of this research. This assessment includes four main steps. The first step is validating the deformation analysis by comparing the force vs opening curves of the bulb seals with the analyses results. The second step is prediction of the deformed form of those multiple seal system. The third step involves validation of acoustical simulations. The final step is about estimation of transmission loss of the assembly of two deformed bulb seals, based on the deformation analysis conducted in the second step. Sound transmission loss values are examined to predict the sound insulation performance of the sealing system.
Subject Keywords
Elastomers.
,
Sealing (Technology).
,
Sound
URI
http://etd.lib.metu.edu.tr/upload/12621048/index.pdf
https://hdl.handle.net/11511/26475
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Graduate School of Natural and Applied Sciences, Thesis
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B. N. Barutçu, “Prediction of sound transmission characteristics of multiple elastomeric bulb seals,” M.S. - Master of Science, Middle East Technical University, 2017.
