數位雙生加工模擬架構之研究：進給率調控對表面粗糙度與切削力的影響

本文旨在建立一套數位雙生加工模擬架構，以探討進給率調控對表面粗糙度與切削力的影響。研究方法首先利用 CAD 建構工件模型，並設計兩組刀具路徑：未調控與進給率調控。隨後，於虛擬機台環境中模擬 CNC 加減速行為，並於切削力分析平台中進行力學預測，以評估不同加工策略之差異。實驗結果顯示，進給率調控能有效降低主軸瞬時過載，改善負載分布均勻性，並提升加工過程的穩定性。進一步的粗糙度量測與模型建構結果指出，所建立之表面粗糙度預測模型平均絕對誤差為 0.033 μm，決定係數 R² 為 0.732，顯示該架構在表面品質評估上具有合理準確度。綜合而言，本研究證實進給率調控對加工性能之正面效益，並驗證數位雙生方法於智慧製造與虛擬試切應用中的可行性。

This study proposes a digital twin machining simulation framework to investigate the effects of feedrate control on surface roughness and cutting force. A CAD workpiece model was constructed, and two toolpaths—non-optimized and feedrate-optimized—were generated. The virtual machining environment was employed to simulate CNC acceleration–deceleration dynamics, while a cutting force platform was used for mechanical predictions. Experimental results show that feedrate control effectively reduces instantaneous spindle overload, improves load distribution uniformity, and enhances process stability. Furthermore, surface roughness measurements and predictive modeling demonstrated that the proposed framework achieved a mean absolute error of 0.033 μm with an R² of 0.732, indicating reasonable accuracy in surface quality evaluation. Overall, the findings confirm the beneficial role of feedrate control in improving machining performance and validate the feasibility of digital twin simulation for smart manufacturing and virtual trial machining applications.