가공 조건에 따른 CNC 공작기계의 스핀들 모터 전류 부하 예측 모델 개발

A CNC machine is a production equipment used for precise processing and plays a key role in automation and flexible production. CNC machines have advantages of complex and sophisticated machining, but disadvantages of quality and productivity degradation owing to tool wear and frequent tool replacement. Tool wear is significantly affected by the tool load according to cutting conditions. Tool wear can be alleviated by relaxing the machining conditions, but this results in a decrease in productivity. Therefore, determining a balance between tool wear and machining time by setting appropriate machining conditions is important. Hence, in this study, a machine learning technique is used to develop a spindle motor current load model according to machining conditions. The current load of the CNC spindle motor is a factor correlated with the tool load and wear. Therefore, the developed model can be used to improve future machining conditions.