日本庆应大学稻崎研究室研制出在车削过程中能(?)时检出并区分刀具崩刃、高频振动、形成切削瘤三种异常现象的传感器。该方法着眼于工件切削表面的形态因出现异常现象时发生的变化;它用光导纤维对切削面进行监视,并从检出的变化着的反射光来识别三种不同的异常现象.用一个传感器能同时感知与识别三种监视对象,这还是第一次. 为使切削加工稳定进行,人们都热衷于引进自适 Japan Keio University Rice Research Laboratory developed in the turning process can (?) Detect and distinguish between the tool chipping, high-frequency vibration, the formation of three kinds of abnormalities of the cutting tumor sensor. This method focuses on the change of the shape of the workpiece cutting surface due to the occurrence of an abnormal phenomenon; it monitors the cutting surface with the optical fiber and recognizes three different abnormal phenomena from the detected changed reflected light. With a sensor This is the first time that the three monitoring objects can be simultaneously sensed and identified, and people are keen to introduce self-adaption to make the cutting process stable