Simulation And Prediction Of Vibration During Quick-Piont Grinding Process

Quick-point grinding technology is through the wheel axis is the axis of workpiece slightly tilted and the formation of the grinding wheel and the workpiece speed grinding technology in theory with respect to the point of contact, it combines the superabrasive grinding wheel, numerical control technology and CNC technology. Its essence is the number of abrasive particles on the workpiece machining, due to the formation of the theory of point contact, so it is greatly different with cylindrical grinding ordinary. Quick-point grinding technology is particularly beneficial for shaft parts of an installation process with complicated shape, Chinese minority automobile enterprises to introduce this technology. But the technology is still at the initial stage of development, reported on the mechanism of grinding, grinding quality control and related technology is rarely at home and abroad. While the grinding precision grinding quality control is an important aspect in the grinding process, the vibration is one of the main factors affecting the grinding accuracy. Therefore, it is necessary to study the vibration of quick-point grinding process, in order to improve the surface quality of the workpiece to provide a theoretical basis.A summary of the whole thesis, the main research work and achievements are as follows:(1) Introduced the technical characteristics and processing characteristics of related concepts, quick-point grinding technology, research status at home and abroad are briefly introduced, and the application of nonlinear vibration in the field of grinding are summarized. Based on the developing situation of quick-point grinding is proposed this topic source and research significance.(2) Related to the content of grinding vibration test points were introduced, including the use of point grinding test point grinding machine, grinding wheel and its correction method, two kinds of material properties, metal test data acquisition system, analysis equipment, acquisition sensor working principle and parameters of grinding process design etc..(3) Based on the grinding experiment, discusses the influence of different materials and different grinding parameters on the quick-point grinding process, through the analysis of time domain characteristics of the acceleration signal, combining with the vibration characteristics of different materials and contrast to judge the grinding vibration mode and related parameters of grinding vibration, to provide the basis in order to optimize the grinding parameters.(4) To study the influence of the nonlinear parameters of the grinding system vibration, carries on the detailed elaboration of multivariate nonlinear regression theory, first describes the method and steps of nonlinear equations are linearized, and then introduces the multiple linear regression model and hypothesis testing theory knowledge. Finally the establishment of processing parameter point grinding and average amplitude of univariate and multivariate nonlinear regression model.(5) By means of artificial neural network theory, the average amplitude of quick-point grinding process is as parameters for prediction and optimization, to process parameters as variables, the prediction procedure and the model of BP neural network, with analysis of the test data, the results show the BP neural network has the ability of mapping widely, prediction better effect.(6) Summarize the results and conclusions of the study, the deficiencies are analyzed and discussed, and exploratory suggestions for further research were put forward.