日本庆应义(?)大学理工学部所属的稻崎研究室,最近研究成功一种传感器,能够在车削中同时对刀具的崩刃、振动和积屑瘤三种异常现象进行在线检溅,并能加以区分识别.切削过程中异常现象的产生会使切削表面的状况发生变化,可采用光导纤维监视这种变化,即通过反射光输出值的变化来检测并区分这三种不同种类的异常现像.以前研究成功的各种检测方法,都是用于测定切削刀具莱一种异常现象,而稻崎研究室第一次成功地应用一个传感器同时检测三种不同的异常现象.这项新技术在应用到生产中去之前,尚有一些问题有待解决,但是它对数控机床实现适应控制将会起很大的促进作用,因此受到人们的重视.随着数控机床的酱及,机械加工的自动化和省力化获得了显著的进展.但是在切削加工过程巾依然存在着许多难以预测的因素,如刀具的磨损和破损、工件材质和形状的不均 Japan Keisuke Yoshinobu (?) The Inazaki laboratory affiliated with the Faculty of Science and Engineering has recently succeeded in developing a sensor capable of online spattering of three anomalies, including chipping, vibration and built-up edges, during turning Can be distinguished from each other.During the cutting process, the occurrence of abnormal phenomenon will change the condition of the cutting surface, you can use optical fiber to monitor this change, that is, through the reflected light output value changes to detect and distinguish the three different kinds of abnormalities For example, the various detection methods that have been previously studied successfully were used to determine anomalies in cutting tools, and for the first time, Inazaki’s laboratory successfully applied one sensor to simultaneously detect three different anomalies. There are still some problems to be solved before it is applied to production, but it will be greatly promoted by CNC machine tools to adapt to control, so people pay more attention to it.With the automation of CNC machine tools and machining And labor-saving has made significant progress.But in the cutting process towel still has many unpredictable factors, such as tool wear and tear, the workpiece material Uneven shape