The Dynamic And Thermal Research Of Internal Gear Power Honing Machine

With the continuous development of modern manufacturing,there are more and more demand for gears’ machining accuracy and surface texture.At present,the gear grinding and honing is the main gear finishing process.Both of them can achieve better machining accuracy,but the gear which was processed by honing machine has stochastic surface texture which can have a lower noise than the gear processed by grinding.Internal power honing machine is a modern type of strong honing machine.It has higher processing efficiency and can modify the profile and longitude error of the gears at the same time improve the gear tooth surface texture.Y4830 CNC honing machine is the first domestic high-end CNC internal gear power honing machine.It is important to study and analyze the dynamic and thermal characteristics of the machine to ensure its processing accuracy during the design and development of the machine.There are several study points in this article: 1.This article described the basic principles of gear honing machine’s dynamic and thermal characteristics analysis.The 3D model of the machine is constructed and simplified with the help of Pro/E.And the finite element model of machine dynamic and thermal characteristic analysis is obtained.2.Different order modal parameters of machine and key parts were obtained through the model simulation and analysis of the whole machine and the key parts.The correctness of the finite element model was verified by modal test,and the structure of the key components of the machine was optimized based on the simulation and test results.3.The heat generation rate and thermal boundary conditions of the main heat source of the honing machine were analyzed and calculated.And the thermal characteristics of the machine and the spindle system were analyzed by the heat-structure coupling method.As well as the temperature field and the thermal deformation field of the machine were obtained.Then the influence of the thermal deformation of the spindle system on the machining accuracy of the gear was analyzed,and the thermal deformation measurement experiment of the spindle system is designed in detail.4.According to the results of thermal analysis,the temperature and thermal deformation data at different temperature points were extracted.The fuzzy clustering and maximum correlation coefficient method were used to screen the temperature measurement points.And four temperature measurement points were selected as the input variables for thermal error prediction model of honing machine’s spindle system.5.The multiple linear regression algorithm,the generalized regression neural network algorithm and the particle swarm optimization for generalized regression neural network was used to establish the thermal error prediction model of the honing machine’s spindle system.The advantages and disadvantages of each method were compared.And the design scheme of thermal error compensation system for the spindle system of the honing machine was given.