中文摘要
本文考慮砂輪磨粒運動幾何及磨削振動等因素，以統計學之變異數合成之觀念，提出一套磨削表面粗度之預測模式。首先藉由分析砂輪磨粒組成及磨削條件所形成之磨粒運動軌跡，可得到磨粒運動幾何所形成之表粗度。接下來以經由分析磨削動態系統，了解加工過程中製程剛性與磨削穩定性之關係，透過實驗量測方式之建立，探討不同加工參數、機台剛性與砂輪組成對加工穩定性之影響，進一步結合系統理論與實驗表面粗糙度之量測結果，建立表粗度預測模式並加以驗證。
本文實驗採用平面研磨方式，並同時在硬軌與液靜壓兩種不同機台上，配合CBN與不同組成之氧化鋁 砂輪的使用進行；透過變動進給實驗，了解製程剛性隨實際磨削深度或磨削力變化趨勢，找出影響加工穩定性之臨界切深，進而探討加工參數對此臨界切深之影響。接下來藉由量測連續溝槽研磨後之工件表面粗糙度，套入本文之表粗度解析模式運算加以判定模式之傳遞因子，並以不同之砂輪及條件重複實驗進行模式之驗證。

Abstract
This thesis considers the kinematic effect and machine vibration to propose a predictive model for surface roughness in surface grinding. In the kinematic effect, the movement of grits on a wheel was analyzed to establish a kinematic roughness model. In the machine vibration, the relation between the grinding stability and process stiffness, including wheel contact and wear stiffness, and workpice wear stiffness was established by analyzing the grinding dynamic system. Then, combining the stability analysis and kinematic surface roughness based on the compound error formula in statistic, a surface roughness model was established. In this model, the two effects were linked via transmitting factors and they would be identified by grinding experiments.
The grinding experiments were performed with the CBN and the KG grinding wheel on two machines of different stiffness. From the grinding experimental results, the influence of grinding parameters, machine stiffness, and the composition of wheel on grinding stability was discussed. Furthermore, the measuring surface roughness of plunge grinding workpiece surfaces were substituted into the surface roughness model to find out the transmitting factors via least square method, then this model was verified by results of different grinding parameters.

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