Zhewen Tian
ABSTRACT
In order to realize the lightweight design of the Baja racing car, this paper takes the Baja frame as the research object, and establishes a CATIA frame model, taking three working conditions of bending, torsion, and the combination of extreme braking and steering as examples. The strength and stiffness of the frame are analyzed in ANSYS, and the simulation shows that the safety factor of the frame is low. The total weight of the frame is 29.718kg, and there is still room for optimization. Then, under two typical working conditions, the bending and torsional rigidity test of the frame was carried out, and the difference between the test result and the simulation was less than 10%, which verified the accuracy of the frame model. Finally, with the frame quality as the optimization goal, the frame optimization function is established by using the sub-objective multiplication and division method, and the steel tube wall thickness of the frame is optimized by using the Genetic Algorithm (GA), Simulated Algorithm (SA), and Multi Objective Genetic Algorithm (MOGA). then calculated the optimized frame quality. The results show that the optimization effect of the MOGA algorithm is the best, and the optimized mass is reduced by 26.59%. This research can provide an effective idea for the lightweight design of the racing car frame.
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