| With the improvement of people’s living standards and better road conditions,commercial vehicles,especially long-distance trucks,have higher and higher requirements for driving and riding comfort,and the quality of vibration iso lation performance of cab suspension is crucial to the driver’s driving experience.For the development of truck cab suspension,the traditional model is based on the theoretical calculation of matching the parameters of rubber air spring,shock absorber,making sample,to test the vibration isolation rate after loading,and if the effect is not ideal,matching calculation,set-up,making sample,again loading test,development cycle is long,and often does not necessarily find the optimal solution.In this paper,the dynamic simulation analys is software ADAMS is used to simulate the ride comfort of the cab mount,and the ADAMS simulation analysi s model of the rubber air spring cab mount is established.B y setting different stiffness of the rubber air spring and damping parameters of the shock absorber,the dynamic simulation analysis is carried out to find the optimal parameters,and the sample is made for real vehicle test to shorten the development cycle In order to improve the ride comfort of the whole veh icle.For the suspension of a heavy truck cab in China,the vibration isolation performance of the end user feedback is not good,which is relatively bumpy.Through the laboratory test of the rubber air spring and shock absorber of the original vehicle ru bber air spring cab suspension,and then loading on the original vehicle to test the ride comfort of the original state,and using ADAMS simulation analysis software,the simulation analysis is carried out to optimize the rubber air spring and shock absorb er Finally,according to the optimized parameters,the sample is made,and then installed on the real vehicle,and the ride comfort test is carried out.Through the test,the vehicle test value is consistent with the simulation analysis result,the ride co mfort is greatly improved,and the customer’s problem is solved. |