The noise prediction model of Hypoid Gear Meshing Based on drive axle is established. Firstly, the classical 14 DOF lumped parameter model of hypoid gear is analyzed. Then the direction cosine, direction rotation radius, time-varying meshing stiffness and meshing parameters are calculated by ABAQUS method, and the changes of meshing parameters of hypoid gears under different loads are compared.
The support stiffness of hypoid gear is calculated by roamax, and the solution method of differential equation is discussed. Then, the support load at the bearing position of the drive axle is obtained by using the meshing dynamic load of the hypoid gear calculated above. The dynamic load analysis of the bearing position shows that the vibration system of the studied hypoid gear has resonance peak at 261hz and 530hz.
The bearing position load is loaded on the bearing support of the drive axle, and the surface vibration of the drive axle housing is obtained by the modal superposition method. Finally, using LMS virtual The dynamic boundary element method in lab predicts the noise radiation level of the drive axle. The vibration and noise radiation level of the drive axle is experimentally studied, and the vibration and noise radiation at the corresponding positions are compared.
The results show that the vibration on the surface of the drive axle can represent the noise radiation level of the drive axle, especially the vibration in the vertical direction of the drive axle has the greatest correlation with the noise radiation of the drive axle. In the radiation noise components of the drive axle studied in this paper, there are large resonance peaks at 261hz, 528hz and 1445hz. By comparing and analyzing the modes of the hypoid gear system and the drive axle housing, it can be concluded that the noise radiation of the drive axle is the result of the coupling of the vibration of the drive axle hypoid gear system and the vibration of the drive axle housing. The established complete process of noise radiation prediction of drive axle can provide guidance for noise prediction and optimization of drive axle.