A Computational Process to Effectively Design Seals for Better Wind Noise Performance 2019-01-1472
Ability to assess noise transmitted through seals to cabin interiors early in the design process is very important for automotive manufacturers. When seal design is inadequate, noise transmitted can dominate the interior noise, making the wind noise performance of the vehicle unacceptable. This may cause launch delays costing a great deal of money and loss of sales. Designing seals using conventional experimental processes is challenging, since the location and strength of flow noise sources are not known when the seal design is planned. Making changes to the seal system after the tooling stage is expensive for OEMs, as the supplier must cover tool and redesign costs. Deliberate overdesign by adding multiple layers of seals everywhere reduces profit by raising part and manufacturing costs. There is a strong motivation to use reliable computational capabilities to predict interior noise transmitted through seals early in the design process to address these challenges, designing seals right the first time. The current study presents a computational process that can be used to predict interior noise transmitted through seals early in the design process. This computational process uses a Lattice Boltzmann method (LBM) based computational fluid dynamics (CFD) solver to predict the transient flow field and exterior noise sources. A statistical energy analysis (SEA) solver is used to transmit noise from these sources into the cabin through glass panels and seals. Experiments were performed to quantify noise transmitted through glass panels, window seals and door seals, allowing validation of the computational predictions. Detailed flow analysis was performed to get insight into the noise sources and the loads on the seals and glass panels. Accurate prediction of the seal noise and the insight provided by the flow analysis shows that this computational process can be used early in the design process to design seals for better wind noise performance.
Nicholas Oettle, Robert Powell, Philippe Moron, Sivapalan Senthooran
Jaguar Land Rover, Exa Corporation
Noise and Vibration Conference & Exhibition