Big Data Information of CNC Machine Tool Performed in Position Control Mode

Abstract

This paper is investigating the manufacturing information technologies of CNC machine tool, FANUC corporation, based on data estimation for lean information network in manufacturing execution. The response characteristics includes the position loop gain, position feed-forward gain, velocity loop integral gain, velocity loop proportional gain, and velocity feed-forward coefficient. The characteristic responses of the different position loop gains, 10, 30, and 90 1/sec, are investigated in position control mode. The characteristic responses of the different position feed-forward gains, 10, 50, 70, and 100 %, are investigated. The performance characteristics of CNC machine tool was based on tuning operation for big data estimation. The big data establishment of the CNC machine tool was performed in position control mode for transient and steady state responses. The phase cross over frequency and gain margin decreased as the PK1V gain increased. The manufacturing information acquires and processes the big data to report information such as diagnostics or monitors and to optimize the wider intelligent system.