Self-learning error compensation in CNC grinding

Abstract

In this paper, a new intelligent self-learning error compensation algorithm for CNC grinding of ceramic chips is introduced. In the process of ceramic chip computer numeric control (CNC) grinding, the dimension of the chip tends to get larger and the dimensional error to exceed the tolerance as the number of the machined chips accumulates. There are many factors leading to the occurrence of the error and the law of error variation is very complicated. With an introduced the intelligent self-learning error compensation technique, the CNC system can improve the control strategy to compensate the error automatically. The simulation result shows the effectiveness of this algorithm.