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It is known that SEA is a rapid and simple methodology for analyzing complex vibroacoustic systems. However, the SEA principle is not always valid and one has to be careful about the physical conditions at which the SEA principle is acceptable. In this study, the appropriate damping loss factor of the vehicle interior cavity is studied in the viewpoint of the modal overlap factor of the cavity and the decay per mean free path (DMFP) of the cavity. Virtual SEA tests are performed with an FE model combination, which is suggested by a previous study of Stelzer et al. for the simulation of the sound transmission loss (STL) of vehicle panel structure. The FE model combination is consisting of the body in white (BIW), an acoustical-excited hemisphere-shaped exterior cavity, and the interior cavity. It is found that the DMFP of the interior cavity is appropriate between 0.5 ~ 1 dB for applying SEA principle.

Aerodynamic simulation results are most of the time compared to wind tunnel results. It is too often simplistically believed that it suffice to take the CAD geometry of a car, prepare and run a CFD simulation to obtain results that should be comparable. With the industry requesting accuracies of a few drag counts when comparing CFD to wind tunnel results, a careful analysis of the element susceptible of creating a difference in the results is in order. In this project a detailed 1:4 scale model of the Hyundai Genesis was tested in the model wind tunnel of the FKFS. Five different underbody panel configurations of the car were tested going from a fully paneled car to a car without panels. The impact of the moving versus static ground was also tested, providing over all ten different experimental results for this car model.

In modern complex engine design, it is a common challenge to keep simulation in step with changes to component geometry, environmental conditions, and mission data - and this applies to both actual designs and those that belong to the hypothetical design space as explored in design of experiments (DOE). In this paper, an effective simulation process and data management (SPDM) approach is presented that hinges on a focus on components, their generalized connections and programmatic templating. This simulation approach improves the fidelity of engine analysis, engineering productivity, quality, scalability across the gas turbine engine organization, and HPC utilization. In addition to this new analysis machinery, gas turbine engine modeling fidelity is elevated by surpassing commonly used one-dimensional (1D) models of rotors.