本論文旨在提出即時抖顫補償機制(Real-time Chatter Compensation Process)，由麥克風(Microphone)擷取切削聲訊(Acoustic Cutting Signal)監測切削狀態，經數位訊號處理(Digital Signal Processing)萃取出抖顫聲訊(Acoustic Chatter Signal)作為主軸轉速調變 (Spindle Speed Adaptive Tuning)之迴授訊號。傳統抖顫抑制的方式為根據穩定性分析圖(Stability Lobes)挑選合適的切削工作點(Cutting Operating Point)，該工作點若有抖顫現象(Chatter)發生，則須於最短的時間內脫離此切削工作點。傳統抖顫量測多以加速規(Accelerometer)監測主軸動態或使用動力計(Dynamometer)偵測切削力變化等，皆屬於侵入式(Invasive)量測方式，增加成本且占空間。本研究利用dSPACE數位類比資料轉換與擷取設備量測切削聲訊為非侵入式(Non-invasive)量測，不但不須改裝銑床工作台且能即時診斷抖顫程度。最後搭配電腦工程運算軟體MATLAB/Simulink撰寫控制模組進行抖顫抑制實驗，由切削表面精度證明本論文所提利用聲音訊號迴授之即時抖顫補償機制之抖顫抑制之效能。

This thesis purposes how the real-time chatter compensation can be realized by acoustic cutting signal from microphones, and verifies the efficacy of adaptive spindle speed tuning. The traditional approach for trembles attenuation is to select suitable operating points according to the stability lobes. If any chatter occurs at that working point, it has to run away from that working point in shortest time. The conventional trembles measurement is mostly to monitor the dynamics of the spindle by accelerometers or detect the cutting force by dynamometers. Most of these traditional methodologies are invasive, expensive and cumbersome. Instead, the acoustic cutting signal which is fed into dSPACE digital/analog data acquisition system in this research is a non-invasive. Finally, by using MATLAB/Simulink to implement the controller, the proposed chatter suppression algorithm is verified by intensive experiments. By inspection on the precision of the workpiece surface after milling, efficiency of the real-time chatter control via acoustic signal feedback is further assured.

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