Design Algorithm of Macpherson Suspension for a Family of Products Based on Common Platform Theory

In this paper, an algorithm is represented to design geometry of suspension for a family of vehicles. Product platform optimization is a way to determine design variable set which not only deserves every product qualifications, but also it helps to find a set of parameters which has the most commonality features. To determine qualifications of each vehicle model, road inputs has applied to models by means of stochastic road harshness input which includes using Power Spectral density of road input as the input of vehicle geometry model. Platform based design uses optimization to maximize commonality among family besides deserving each individual constraint. In order to do this, objective functions and constraints implemented in order to find optimum designs. This algorithm optimizes ride and handling of the car besides increasing commonality among the whole family. For a numerical solution, a family of car which includes 5 products has been proposed based on Dacia-Renault platform (L90). At last, an algorithm is presented that could design geometry of vehicle suspension for a family of products.