Digital twin-driven CNC spindle performance assessment

The performance of CNC spindle directly affects the machining accuracy and processing speed of the machine tool. The time-varying environment and complex working conditions increase difficulty of thoroughly assessing the spindle relying on experimental test. Therefore, this paper proposes a comprehensive framework for assessing the performance of the spindle driven by digital twin. First, a multi-domain modeling method is used to establish a spindle twin model, and then an index system for assessing spindle performance is constructed combining experimental test and simulation. A multi-index fusion assessment that combines subjective and objective weights is presented to construct the performance assessment level, which comprehensively assesses the performance of the spindle from multiple dimensions such as vibration, temperature, and stiffness. Finally, the JSC180A electric spindle is selected to verify the proposed method. The conclusion that the electro-spindle is operating in good condition is consistent with the on-site inspection, which verifies the effectiveness of the proposed method and the feasibility of its on-site application.