Multi-Objective Optimization of the Rear Guiding Linkage of a Formula Student Race Car

Abstract

The paper approaches the multi-objective kinematic optimization of the rear suspension mechanism used for a formula student race car. The following steps are necessary for performing the optimization: parametrizing the virtual model, defining the design variables and the design objectives for optimization, performing design studies for identifying the main design variables, and optimizing the model on the basis of these variables. The optimization criteria refer to the variations of the wheelbase, wheel track, induced deflection, and camber angle. The study is performed by using the multi-body system (MBS) environment ADAMS of MSC Software, considering a DOE-based (Design of Experiments) investigation strategy.