目的 针对湿式主轴式滚磨光整加工工艺，提出适用于铝合金试件光整加工的材料去除模型。方法 通过FLUENT两相流模块模拟不同参数下p?v值，用响应曲面法拟合4个主要参数和p?v的多元回归模型，在此基础上，基于Preston方程建立修正的材料去除模型，进行加工实验，探究工件的MRR、加工后Ra和表面形貌之间的关系。结果 方差分析中，工件轴心距筒壁距离和滚筒转速项的P<0.05，两者对MRR影响显著，且前者与MRR负相关，后者与MRR正相关。对模型进行加工实验验证，工件MRRth和MRRex的平均相对误差仅为6.32%，证明模型的有效性。随工件MRR的递增，加工后Ra值先减后增，MRR值为21 mg/h时，Ra为0.816 μm，工件刀纹仍很明显；MRR值为59 mg/h时，Ra达到最低值0.472 μm，工件刀纹完全去除，表面纹理细致平整，加工效果最佳；当MRR达极值时，Ra为0.693 μm，表面纹理变得粗糙不平，由于滚抛磨块的加工能力过强，导致加工效果较差。结论 建立了以工艺参数为自变量的材料去除模型，为选择参数提供一定的理论依据，且实验研究得出，加工能力与加工效果之间不存在正向相关性。

The work aims to propose a material removal model suitable for finishing of aluminum alloy workpiece during the wet spindle-type barrel finishing. The FLUENT two-phase flow module was used to simulate the p?v value under different parameters, and the response surface method was used to fit the multiple regression model of four main parameters and p?v. Based on this, a modified material removal model was established based on the Preston equation to perform processing experiments and investigate the relationship between MRR, Ra after processing and surface topography of the workpiece. P value of the workpiece axial distance from the wall and the drum speed term was <0.05 in the analysis of variance and had significant influence on MRR (the former was negatively correlated with MRR and the latter was positively correlated with MRR). The model was verified by experiment. The average relative error of workpiece’s MRRth and MRRex was only 6.32%, thus proving the validity of the model. With the increase of MRR, Ra after processing firstly decreased and then increased. MRR was 21 mg/h, Ra was 0.816 μm and the knife was still very obvious. When MRR value was 59 mg/h, the lowest value of Ra was 0.472 μm, the knife was completely removed, the surface texture was smooth and the processing effect was the best. When MRR reached the extreme value, Ra was 0.693 μm, the surface texture became rough and uneven, and the processing effect was poor due to excessive processing ability of the abrasive block. A material removal model with process parameters as independent variables is established to provide theoretical basis for selecting parameters; and experimental research shows that there is no positive correlation between processing capacity and effect.