CNC Interpolator Tuning based on Digital Twin of Five-axis Machines

This paper presents a novel approach to optimize the CNC interpolator on five-axis machine tools based on a digital twin (DT). A virtual machine tool model was created by applying Auto Servo Tuning (AST) functionality. The servo parameters are optimized to achieve five-axis servo matching. The transfer function between the position command and the output signal was derived to evaluate the tracking and contour errors for cornering trajectories. Interpolation parameters including jerk limits and centripetal acceleration ratio were commissioned in the KAKINO test. To validate the effectiveness of the DT-based commission approach, NAS979 cutting tests were carried out, clearly demonstrating its capability to enhance the machining precision of five-axis machines.