Dynamics Simulation And Modeling Of Rolling Bearing Based On Finite Element Analysis

As the widely used and easily damaged parts of rotating mechanicals, rolling bearing plays an important role in industry. Its state will affect efficiency and safety of industrial production in a large extent. Therefore, exploring dynamic simulation and structural analysis for rolling bearings、fault characteristics during operation and its impact on the vibration and noise is of great significance for find out failure mechanism from inside to outside.This paper introduces dynamics and kinematics internal relationships between various components of the rolling bearing, and establishes models of mechanics and kinematics. Then briefly introduce main failure forms, diagnosis method and the basis of Explicit dynamics-the principle and solving steps of the finite element method, material model of ANSYS/LS-DYNA, element types and contact models.It establishes a6205deep.groove ball bearing and NU205cylindrical roller bearing models which in the situation of normal state and with scratch fault in inner and outer rings. The models are built by ANSYS/LS-DYNA, based on the explicit algorithm, single-point integration approach and speed, load, contacts and friction conditions are fully considered,too. Then, it analyzes the stress, displacement and velocity distribution pattern of rolling bearing and extract acceleration signal of defected bearing based on FEM. Finally, it extracts the signal characteristics of defected bearing with Hilbert and zoom spectrum, which provides a theoretical basis for fault diagnosis of rolling bearings.Simulation results show that the maximum stress of the rolling bearing during operation are in the contact fields between rolling body and the inner and outer ring; scratches failure greatly increases stress levels and stress fluctuations of rolling bearing. Vibration is generated mainly due to stress diversification.Under defected bearing conditions, the nodes’ vibration response in different positions of bearing can reflect fault characteristics; acceleration signal can find corresponding fault characteristic frequency after zoom spectrum to achieve effective identification of typical bearing faults. The method in this paper provides a feasible method to further explore the failure transmission feature...