Numerical Control Machine Optimization Technologies through Analysis of Machining History Data Using Digital Twin

In numerical control (NC)-based machining, NC data-based tool paths affect both quality and productivity. data are generated according to cutting conditions. However, causing excessive load can accelerate wear even result in damage. the opposite case, increasing machining time influence surface from perspective of dynamics machine tool–material–tool combination. There have been a lot studies on tool-path optimization. it is impossible perfectly predict such as wear, material non-uniformity, chatter, spindle deformation. fact, prediction-based optimization cause errors. Therefore, this study attempts synchronize uniformize through analysis stored using digital-twin technology, which stores manages history. Uniformizing reduce rapid traverse event no load, feed rate an overload area, shock when met by adding approach feed. Analyzing results proposed paper, chatter was completely removed with D100 D16, although some remained D25 D16R3 tools. addition, processing could be reduced minimum 7% maximum 50% after