Study on Prediction of Workpiece Edge Quality in Face Milling (1st report)

Burrs and chipping that occur after machining are a fundamental and permanent problem. Burrs and chipping are repaired in the post-process, which increases the machining cost. Previous research has mainly focused on reducing burrs and chipping, and has not addressed the prediction of edge qualities (burrs and chipping). If the edge quality after machining can be predicted, production planning such as deburring and chipping correction work can be easily planned, and machining costs can be reduced by shortening the lead time. In addition, if the edge quality after machining is displayed on the CAM simulation, toolpaths can be created with fewer burrs and chipping, and more realistic digital twinning becomes possible. In this study, we devised a method to predict burrs and chipping that occur during face milling and examined the advantages of this method. This method can check edge quality at all engagement and disengagement angles by front milling a workpiece with a diagonal groove. In this report, face milling was performed using a vertical machining center, and burrs and chipping corresponding to the engagement and disengagement angles were measured.