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The air noise generated by automotive climate control systems is today emerging as one of the main noise sources in a vehicle interior. In the confined instrument panel (I.P.) ducts, that lead the air flow from the HVAC outlets to the cabin, the highly constrained geometry generally leads to flow separation and to complex flow structures that contribute to the noise perceived in the car. Numerical simulation offers a good way to analyze these mechanisms and to identify the aerodynamic noise sources, in an industrial context driven by permanent reduction of programs timing and development costs, implying no physical prototype of ducts before serial tooling. This paper presents an example of aero-acoustic study of simple I.P. ducts performed with the finite element code ACTRAN to estimate the sound produced by the turbulent flow. For this type of configuration, the acoustic propagation is decoupled from the noise generation mechanism that is essentially of aerodynamic nature.

This paper describes a new approach for modeling a trimmed vehicle body by blending FEA models of the BIW, the passenger compartment and each individual trim component. The approach bases on the update of modal matrices, transforming the untrimmed body-cavity modal representation into an updated modal model including the effect of the trim configuration on the local and global NVH indicators. Results on simple and more realistic models are presented and show that the methodology fulfills the efficiency and accuracy criteria and is thus to guide the NVH development process.

The design of automotive mechanical components requires the consideration of various excitations related to physical tests (involved in the validation process) and/or operational conditions. In such a context, random distributed excitations (like diffuse field and turbulent boundary layer) play a particular role. Modeling and simulation of the vibro-acoustic response of systems subjected to such random excitations is the framework of the present contribution. Based on elasto-acoustic assumptions, on one hand, and the assimilation of the excitation to a weakly stationary random process characterized by a reference power spectrum and a particular spatial correlation function, on the other hand, the authors identify various strategies for evaluating the random response. The analysis is performed in a numerical context. The selected discrete models are based on a finite element formulation and exploit a displacement-pressure formulation.