Stream Of Variation Modeling And Analysing For Multistage Grinding Process Of Rotary Parts

Grinding machining is widely used in machining field,which is of great significance in guaranteeing the machining quality of parts and improving the machining precision of parts,and grinding is especially important in the process of precision and ultra-precision parts processing.In the process of multi-process grinding,the stream of variation of rotary body parts caused by various error sources-machine tool error,the error flow caused by fixture error,tool error,thermal error,vibration error and so on-is one of the key factors affecting the machining accuracy of the rotary parts.Therefore,the stream of variation in the process of multi process grinding is modeled and analyzed in order to improve the machining characteristic quality of the revolving parts.It provides a very important theoretical basis for reducing the waste rate of products,improving the yield of products and improving the process of monitoring and processing.In this paper,the error flow function and the process monitoring scheme are mainly established to study the generation,transfer and accumulation of errors in the process of multi-process grinding of rotary bodies.The main research process is as follows:Firstly,the paper analyzes the grinding process of the multi-process of the rotary body,uses the relative theory of robotics,such as the space State model,the differential motion vector,the homogeneous transformation matrix,and so on,uses the space coordinate system to represent the error source,and then establishes the spatial state model of the main error source,the correctness of the homogeneous transformation matrix is explained by the example verification.Secondly,according to the comprehensive analysis of the error transmission and the influence factors of each error source in the process of grinding of the rotary body,the error transfer model is set up,and an example is given to show that the predictive value of the error flow function and the actual measurement value are within the allowable error range.It is proved that the error flow function can reveal the regularity of error generation,transfer and accumulation of error sources such as machine tool error,tool error,fixture error,thermal error,positioning error,datum error,etc.in the process of multi process machining.Finally,through the integration and reconstruction of the error flow transfer function of the rotary parts,the statistical model of the multiple process grinding of the rotary parts based on process parameter estimation is obtained,and then the mathematical statistical model and the processed data are combined with the Bayesian statistical method,To estimate the distribution of the mean distribution based on the multivariate normal distribution and the covariance matrix distributions based on the Wishart distributions,so as to solve the parameter estimation in the process of multi process processing.Finally,the process estimation parameters can be used to establish a monitoring scheme for the grinding process of the rotary parts based on the Hart control chart.In this paper,the control plan of the Hugh Hart is used to identify and monitor the abnormal error factors in the process of grinding the parts of rotary body.The correctness of the monitoring scheme based on the Hart Control chart is analyzed by the example verification.