Abstract Process monitoring and in-process control in milling requires reliable sensor data from rotating tooling systems. Vibration sensing by an instrumented tool holder close to the cutting zone has been proven useful in mitigating chatter. A model is presented that enables the interpretation of vibration data of the rotating sensor and tool system to identify edge chipping. Thus, data from a single axis accelerometer can be interpreted to identify the existence of edge chipping on one of multiple cutting edges. The classification of observed effects is derived from methods developed for machine learning, which is demonstrated and evaluated by experimental results.

中文翻译：

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基于刀架振动测量的铣削切削刃口判定方法

摘要 铣削过程中的过程监控和过程控制需要来自旋转刀具系统的可靠传感器数据。靠近切削区的仪器化刀架的振动感应已被证明可用于减轻颤振。提出了一个模型，该模型能够解释旋转传感器和工具系统的振动数据，以识别边缘碎裂。因此，可以解释来自单轴加速度计的数据以识别多个切削刃之一上是否存在刃口碎裂。观察到的效果的分类源自为机器学习开发的方法，并通过实验结果进行证明和评估。