Computer aided design of conjugate cam based on genetic algorithm

GE Le-le, ZHANG Long, HU Kai-wen
(School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China)

Abstract: Aiming at the problems of low transmission efficiency and excessive design workload in conjugate cam mechanism, the design principle of the mechanism was deduced, and a computer aided optimization design method based on genetic algorithm was proposed. The mathematical model of the mechanism was established and structural parameters were optimized by genetic algorithm. The conjugate cam 3D model was automatically generated by secondary development of SolidWorks with Microsoft Foundation Classes(MFC). The mechanism model was imported into ADAMS for motion simulation, and the motion law of the follower was obtained. The correctness of the design method was verified by comparing with the design requirements. The results indicate that genetic algorithm can make the maximum pressure angle of conjugate cam mechanism close to the global optimum and improve the transmission efficiency of the mechanism. The method of SolidWorks secondary development by MFC can make the design of conjugate cam more automatic and reduce the workload.
Key words: conjugate cam; genetic algorithm; SolidWorks secondary development; MFC