Prediction Accuracy of the Human and Seat Model for Vehicle Acoustic Finite Element Model

Abstract

The acoustical comfort of the automobile is one of the critical issues for a consumer to purchase a car. The acoustic-structural coupling finite element (FE) model is widely used in the prediction and analysis of the interior noise in the low-frequency range. The prediction accuracy is the key to the analysis and optimization of the noise. Since the coupling model is combined with the structure and an acoustic model. Its accuracy depends on the vehicle structure and cabin acoustic model. Researchers build the vehicle structure model in similar methods while establishing the seat model in various measures. To identify the influence of the human body and seat on the simulation result and find a better solution to build an acoustic model, the vehicle cabin is divided into three cavities, air, human body, and the seat. Four cabin acoustic models are established by attaching different parameters to these cavities. The simulation results are calculated and compared to the experimental results. The effect of the human body and seat are validated by the cabin model test and noise field test. The better prediction accuracy of the FE model can lay a better foundation for the further optimization of the vehicle and improving noise performance. This method can be further applied in the medical and aerospace industries.