A New Surface Topography-Based Method to Quantify Axial Error of High Speed Milling Cutters

作者：Chen, Wanqun; Lu, Lei; Xie, Wenkun; Huo, Dehong^*; Yang, Kai

来源：Journal of Manufacturing Science and Engineering, Transactions of the ASME, 2018, 140(11): 111014.

DOI：10.1115/1.4041180

• axial error
• tool runout
• surface prediction
• milling
• tool marks

Cutting tool rotation errors have significant influence on the machined surface quality, especially in micromilling. Precision metrology instruments are usually needed to measure the rotation error accurately. However, it is difficult to directly measure the axial error of micromilling tools due to the small diameters and ultra-high rotational speed. To predict the axial error of high speed milling tools in the actual machining conditions and avoid the use of expensive metrology instruments, a novel method is proposed in this paper to quantify the cutting tool error in the axial direction based on the tool marks generated on the machined surface. A numerical model is established to simulate the surface topography generation, and the relationship between tool marks and the cutting tool axial error is then investigated. The tool axial errors at different rotational speeds can be detected by the proposed method. The accuracy and the reliability of the proposed method are verified by machining experiments.

• 出版日期2018-11
• 单位中国人民解放军总参谋部陆航研究所; 哈尔滨工业大学