Surface Roughness Prediction And Temperature Field Finite Element Simulation Of Grinding Outer Ring Raceway Of Tapered Roller Bearing

Tapered roller bearing as a core component used in rotating machinery,its quality directly affects the reliability and safety of machinery.Therefore,it is an urgent problem for researchers to improve the technological parameters of manufacturing process and enhance the performance of tapered roller bearings.As the working interface of tapered roller bearing,raceway surface quality directly affects the working performance and service life of bearings.In view of the surface roughness of bearing raceway and the microstructure of affected layer are important parameters to measure the surface quality of bearing raceway.Therefore,this paper takes the inner raceway of the outer ring of tapered roller bearing of TR0708 model as the processing object,carries out a series of work on the grinding experiment research of bearing raceway.The influence law of grinding wheel linear speed,workpiece speed,grinding depth and other parameters on surface roughness and temperature field was deeply explored,the surface roughness under high grinding wheel linear speed was predicted,and the grinding process was planned with comprehensive consideration of surface roughness and dark layer thickness.The research results can provide a certain guiding significance for the grinding process analysis of bearing raceway.The main research work of this paper is summarized as follows:(1)In order to investigate the effects of grinding wheel linear speed,workpiece speed and grinding depth on surface roughness and dark layer thickness of raceway grinding,an experimental scheme for grinding inner raceway of tapered roller bearing outer ring based on single factor method was designed.The orthogonal experimental method of three levels and three factors was designed for surface roughness.The positive and negative effects of machining parameters on surface roughness were analyzed according to the experimental results,and the optimal combination of machining parameters was determined.The experimental results provide the experimental basis for exploring the optimal machining parameters and verifying the surface roughness prediction model and temperature field simulation model.(2)On the basis of defining the surface topography of the grinding wheel,the equivalent diameter of the grinding wheel was introduced,and the mapping relationship between raceway grinding and plane grinding was established.Combined with the kinematics model of the grinding wheel,the surface roughness prediction model of the inner raceway of the outer ring of the tapered roller bearing was constructed.The grinding process was analyzed,so as to obtain the surface topography and roughness of the workpiece under different processing parameters.The correctness of the model is verified by grinding experiments.Based on the established prediction model of bearing raceway surface roughness,the surface roughness under high grinding wheel linear speed was predicted,which provided theoretical guidance for improving surface quality.(3)In order to obtain the temperature field distribution of bearing raceway grinding,this paper firstly calculated the grinding force,total heat flux and heat flux of the workpiece during raceway grinding based on the microscopic interaction between the particle and the workpiece.Secondly,the material properties,mesh division,initial and boundary conditions of the finite element model were set,and the heat source distribution model was loaded to obtain the temperature field simulation model of the inner raceway surface of the outer ring of tapered roller bearing.Then,according to the simulation results,the dark layer thickness of bearing raceway was analyzed,and the accuracy of the model was verified by grinding experiments.Finally,combined with the surface roughness prediction model,the grinding parameters of the inner raceway in the outer ring of tapered roller bearing were planned to ensure the surface quality of the bearing raceway and improve the processing efficiency.