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Suspension design is one of important technique to develop automobile. Since suspension system has strong non-linearity, it is difficult to optimize the suspension system by Gradient Based Method. Authors discussed the benefit of Genetic Algorithms to optimize the suspension system in this paper. Prototype of optimization system for suspension systems based on Genetic Algorithms was developed. In this system, the suspension system was analyzed and evaluated by Mechanical System Simulation Software ADAMS. The validity of the optimization system was clarified through the two case studies focusing on toe curve and lateral stiffness. Typical double wishbone type rear suspension with twenty design variables was analyzed and optimized by the optimization system.

A simulation technique has been developed for describing the synchronization mechanism of a transmission for heavy-duty trucks, to clarify why and how abnormal (two-stage) shift reaction force while upshifting occurs sometimes. It is hard to analyze this phenomenon with a conventional experimental approach because the synchronizer mechanism is complex and synchronization performs in a short time. Hence, the movement and contact force of the synchronizer components are simulated with an analytical model using ADAMS. According to the simulation results, the abnormal shift reaction force occurs during the meshing process of both splines of the sleeve and clutch gear, its cause is a backward movement of the sleeve. The relative relationship between a sleeve movement force at the contact point of both spline chamfers and clutch gear rotational force influences the phenomenon, and it can be reduced by tuning the friction force on the chamfer surfaces.