In this study, a potential interior noise problem is investigated by the interior noise source contribution and transfer path analysis. This methodology enables cascading a certain NVH issue from vehicle level to system, subsystem and even component level and provides a time saving and cost-effective approach in root cause identification. As a next step in addition to this study, further investigations should be carried out to pinpoint and improve the main source of this NVH problem. Panel contribution analysis (PCA) should be one of the tools that can be used to determine the percentage of sound radiation from the panels of the vehicle. Focusing on this specific noise problem, improvement iterations on the dominant contributing panels will be an effective approach in the reduction in sound radiation. As a second step, the root cause of the high frequency response of the body should be investigated. Point mobility of the suspension connection point, vibration transfer function (VTF) and NTF improvements by using CAE tools will enable reduction of the responses. It is concluded that interior noise source contribution and transfer path analysis methodology is an effective tool in vehicle NVH development and can be used in target setting, target cascading and specific problem root cause identification.
Technical note: Vehicle interior noise source contribution and transfer path analysis
International Journal of Vehicle Design ; 52 , 1-4 ; 252-267
2010
16 Seiten, 13 Bilder, 1 Tabelle, 10 Quellen
Article (Journal)
English
Technical note: Vehicle interior noise source contribution and transfer path analysis
Online Contents | 2010
|Vehicle interior noise source contribution and transfer path analysis
Automotive engineering | 2010
|Vehicle interior noise source contribution and transfer path analysis
British Library Conference Proceedings | 2010
|Electric Vehicle Interior Noise Contribution Analysis
SAE Technical Papers | 2016
|Electric Vehicle Interior Noise Contribution Analysis
British Library Conference Proceedings | 2016
|