Advance noise path analysis, a robust engine mount optimization tool

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Advance noise path analysis, a robust engine mount optimization tool

Madjlesi, R. / Khajepour, A. / Ismail, F. / Mihalic, J. / Rice, B.

Many design problems are discovered often late in the development process, when design flexibility is limited. It is the art of the refinement engineers to find a solution to any unpredicted issues at this stage. The refinement process contains many hours of testing and requires many prototypes. Having an accurate experimental model of the system in this phase could reduce refinement time significantly. One of the areas that usually require refinement and tuning late in the design process is engine and body mounting systems. In this paper, we introduce a technique to optimize the mounting system of a vehicle for a given objective function using experimental and numerical analysis. A hybrid model of the vehicle based on substructuring method and FRF synthesis was developed. The vehicle was substructured to engine, mounting system and trimmed body. Using geometries of the engine mounts and engine inertia properties, a FRF based model of the engine was developed. Experimental FRF based models were used for body and mounting systems. The model linked with MPA and optimization algorithms to find the best set of the mounts for a given vehicle. A Matlab base software with graphical interface called ANPA was developed. The program was used to tune the mounting system of a pick-up truck. For the defined stiffness interval, the method predicted 28 - 32 percent reduction in the vibration level. A prototype of the predicted set of mounts was made and installed on the vehicle. The measurements confirmed good correlations between prediction and measurement. The ANPA software has the capability of predicting FRFs without removing the engine. Several sets of mounts were installed on a vehicle and data were collected and imported to ANPA. There was a good correlation between prediction and measured FRFs.