铣削颤振在线智能控制方法研究

Research on on-line intelligent control method for milling chatter

针对铣削加工中颤振降低加工效率的情况,研究了颤振在线自主识别与控制的方法。使用传感器拾取加工状态信息,提取振动信号时域均方差特征及频域幅度谱特征,提出了具有广泛适用性的颤振在线识别算法。以2π作为刀具前后两次铣削振纹间的最优相位差,依据颤振频率调整主轴转速,消除颤振。以SIEMENS 840D系统为平台研究了机床转速在线实时调整的方法。进行了铝合金工件的铣削实验,验证了颤振在线抑制、提高加工效率的有效性。

Centering round chatter vibration during the milling process will decrease the machining efficiency. To solve this problem, the method of detect and suppress chatter automatically is studied. Sensor is used to acquire information about cutting process. Standard deviation and amplitude spectrum are extracted from vibration signal, and thus the algorithm for chatter identification is presented with extensive applicability. Aimed at eliminating chatter, spindle speed is changed to adjust the phase between two times to be 2π. The approach of spindle speed adjustment real - time online based on SIEMENS 840D is implemented. Finally, the result of cutting experiment verify the validity about chatter suppression on -line.