Rapid evaluation technology for CNC machine tool slide level based on built-in sensors

Abstract

Slide level impacts the CNC machine tool performance. The deterioration of slide level will result in the torsional vibration of a feed-axis control system and lower the CNC machine tool control precision. It is necessary to investigate the rapid evaluation technology for the slide level of a CNC machine tool. In this paper, a new type of rapid evaluation method for machine tool slide level is proposed, which uses the linear scale, motor encoder, and AC servo motor current/output torque. To acquire level information, the built-in sensors test principle is profoundly investigated, and the mathematical model between the slide level and the measured data is established. In addition, two different level identification methods are comparatively analyzed. The analysis results of experiments show that it is simple, rapid, feasible, and reliable to use built-in sensors information for evaluating slide level.

Keywords

slide level / built-in sensors / Stribeck effect / model identification