The machined surface topography of workpiece plays an important role in the performance and service life of workpiece. At present, the study of milling surface topography is mainly on 3-axis milling with ball end mill. Also, in 4/5-axis milling, surface topography analysis is mainly on the experimental data. In order to solve this problem, an analytical prediction model of milling surface topography is proposed, which can obtain the machined workpiece surface topography directly from cutting parameters, cutter location file, and workpiece surface geometry. The effects of cutting parameters on surface roughness are discussed, such as cutting velocity, feed speed, and lead angle. Different 4-axis milling experiment conditions are set up to validate the proposed model. The results show that the prediction results agree with experiment results. Also, this method can be used to predict the surface topography in five-axis milling and optimize the cutting parameters in the further.

工件的加工表面形貌对工件的性能和使用寿命起着重要的作用。目前，对铣削表面形貌的研究主要是用球头立铣刀进行三轴铣削。此外，在 4/5 轴铣削中，表面形貌分析主要基于实验数据。为了解决这个问题，提出了一种铣削表面形貌解析预测模型，该模型可以直接从切削参数、刀具位置文件和工件表面几何形状中获取加工后的工件表面形貌。讨论了切削参数对表面粗糙度的影响，如切削速度、进给速度和导程角。设置不同的 4 轴铣削实验条件来验证所提出的模型。结果表明，预测结果与实验结果一致。还，