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An automotive radiator cooling fan has been observed to be an important noise source in a vehicle and with increasing noise refinements, the need for a quieter but effective fan is of utmost importance. Although some empirical prediction techniques are present in literature, they are not sufficiently accurate and cannot give a detailed view of the entire noise spectrum and the various noise prone zones. Hence the need for highly accurate Computational Fluid Dynamics (CFD) study is essential to be able to resolve the minute acoustic stress. Large Eddy Simulation technique in CFD is used to resolve the minute scales of motion in the flow as the sound pressures simulated are very small compared to system level pressures and require immense accuracy. Detailed mesh dependency and Y+ studies are conducted to implement higher accuracy as well as keep mesh requirements within computationally feasible zone.

This paper describes dimensional synthesis, analysis and performance optimization of a three-link rigid-axle suspension system. This suspension architecture has two longitudinal links and panhard rod as a transverse link. In case of rigid axle with three links, roll stiffness is primarily governed by springs, anti-roll bar, suspension link dimensions and its orientations. Because of suspension architecture, the bushings connecting the longitudinal link to axle will also contribute to the suspension roll stiffness. Typically, this contribution is comparable to the contribution due to the suspension springs. Hence, this paper explores the process of reducing roll stiffness of three-link rigid-axle suspension by identifying and changing high impact parameters. In the multi-step process, the first step is to evaluate the kinematics and compliance performance. This analysis is performed using "ADAMS®" - the multibody dynamics analysis software.