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A Computational Process to Predict and Mitigate Liftgate Gap Noise Dassault Systemes
- Format:
- Book
- Conference/Event
- Author/Creator:
- Moron, Philippe, author.
- Conference Name:
- Noise & Vibration Conference & Exhibition (2025-05-12 : Grand Rapids, Michigan, United States)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2025
- Summary:
- This study introduces a computational approach to evaluate potential noise issues arising from liftgate gaps and their contribution to cabin noise early in the design process. This computational approach uses an extensively-validated Lattice Boltzmann method (LBM) based computational fluid dynamics (CFD) solver to predict the transient flow field and exterior noise sources. Transmission of these noise sources through glass panels and seals were done by a well-validated statistical energy analysis (SEA) solver. Various sealing strategies were investigated to reduce interior noise levels attributed to these gaps, aiming to enhance wind noise performance. The findings emphasize the importance of integrating computational tools in the early design stages to mitigate wind noise issues and optimize sealing strategies effectively
- Notes:
- Vendor supplied data
- Publisher Number:
- 2025-01-0028
- Access Restriction:
- Restricted for use by site license
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