Optimization of Suspension Systems Parameters Utilizing MSC Adams View and Insight

Abstract

The suspension system is undeniably one of the most important mechanisms of road vehicles in terms of ride comfort and road holding capacity. Therefore, suspension design is at the center of designers’ attention. Some designer tries to improve the performance of suspension systems by introducing active or semi-active controller to the suspension system while others use optimization methods to do so. Hence in this study, we focus on the optimization of the suspension system. A new method is proposed in this study. Unlike the papers in the literature, we did not obtain the mathematical model of the suspension system. Here all design objectives and variables are set without obtaining the mathematical model. All the parts are modeled in MSC Adams view. After that MSC Adams insight is employed to optimize suspension systems parameters. The Monte Carlo Simulation method with uniform distribution is used and optimization is run for 2000 trials. From the study, the effectiveness of the method was evaluated. Also, the improvement of ride comfort and road holding capacity of the car was studied and evaluated comparatively.