Built-in Sensor Based Spindle Radial Error Motion Separation Method for Cutting Conditions

Abstract

Abstract This study focuses on the development of a spindle radial error motion separation method that can realize on-line measurement in the cutting state of the machine tool. Measuring the radial error motion of the spindle in the cutting process is an important basis for monitoring the machining quality of the workpiece and analyzing the dynamic characteristics of the spindle. The problems encountered in the application of traditional methods under cutting conditions, such as inaccurate data interception, angle non-uniformity of sampling data and installation angle error, are simulated and analyzed. An on-line measurement method based on the built-in encoder signal of the spindle is proposed. The angle signal of the spindle encoder is obtained synchronously by the built-in sensor acquisition technology of the CNC machine tool as the reference for data interception and calculation. The equal angle interval resampling method is constructed to convert the equal time interval data into the equal angle interval data, and the influence of the angle non-uniformity of the data on the measurement is weakened. The simulation comparison shows that the proposed method can effectively solve the problems existing in the measurement under cutting conditions. Finally, an actual cutting experiment is carried out to verify the effectiveness of the proposed method, and it is shown that the proposed method can obtain higher measurement accuracy than the traditional three-point method under cutting conditions.