Dynamic prediction method for comprehensive errors of CNC machine tools based on data-model drive
Aiming at the problem of complex comprehensive error modeling and its poor adaptability,a CNC machine tool compre-hensive error modeling method and error prediction method based on digital twin technology were proposed.Taking the three-axis CNC machine tool as the research object,the comprehensive error digital twin with the fusion of model and real-time data was es-tablished.A comprehensive error prediction model taking into account geometric error and dynamic error was established by using the method of multi-body dynamics and homogeneous coordinate variation,and the prediction model was expressed digitally to con-struct a digital twin model of comprehensive error based on data and model drive.To map the physical space in the digital twin with high fidelity,the data transmission framework based on TCP/IP communication protocol was constructed,and the two-way real-time mapping between the physical space and the digital twin was realized.The reliability of the comprehensive error prediction dig-ital twin was verified by a three-axis CNC machine tool,and the real-time and stability of the data transmission was verified by the virtual and real synchronous motion experiment.The results provided a new way to construct error model of digital twin,and the theoretical foundation for comprehensive error modeling of the CNC machine tools.
digital twinCNC machine toolsgeometric errorcomprehensive error
万方数据
维普
