Application of information fusion to volumetric error modeling of CNC machine tools

摘要

In order to solve the problem of low measurement efficiency of volumetric errors and predict the volumetric errors of CNC machine tools online, a new volumetric error modeling method based on information fusion technology is proposed in this paper, which was used for the volumetric error prediction of a two turntable five-axis machine tool. In order to fulfill the volumetric error modeling, the displacement variables, temperature variables, and cutting force variables were determined firstly, then the determined variables and the volumetric errors were measured and analyzed, and a volumetric error model was presented based on the determined variables. In order to optimize the parameters of the presented model, grey correlation analysis method is used for the second time prediction of the volumetric errors. Finally, the performance of the model was tested by an experiment. The result shows that the approximation ability of the model is very well, and the residual error is smaller than 2 mu m. Comparing with conditional modeling methods, this method can be used in different types of machine tools with different operating conditions by regulating the weight matrix, and the robustness of the fusion model is improved.