论文部分内容阅读
以铣削为对象，建立了２自由度的铣削加工颤振动力学模型，分析了铣削颤振的产生机理；在此基础上，提出了基于电流信号的铣削颤振检测识别模型，该模型利用主轴电流信号的高频成分和低频成分的相对变化，很好地识别出颤振的发生，同时，该方法有效地消除了切削条件变化对检测结果的影响。此外，该方法算法简单，计算量小，可以实现实时检测。
In order to solve the problem of milling, a 2-DOF milling flutter dynamics model was established, and the generation mechanism of milling flutter was analyzed. On the basis of this, a milling flutter detection and identification model based on current signal was proposed. The model used the spindle current Signal relative to the high-frequency components and low-frequency components of the change, a good identification of chatter vibration at the same time, the method effectively eliminates the cutting conditions change on the test results. In addition, the method is simple, the calculation is small, and real-time detection can be realized.