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- Title
Modelling and prediction of surface topography on machined slot side wall with single-pass end milling.
- Authors
Lyu, Wenjun; Liu, Zhanqiang; Song, Qinghua; Ren, Xiaoping; Wang, Bing; Cai, Yukui
- Abstract
The previous research on machined surface topography in milling processes usually focuses on simple and single machining features such as free flat and form surfaces. However, the industrial components are composed of complex machining features such as slots and grooves finished by profile milling cutters. The formation mechanism and prediction method of machined surface topography for the complex milling features are required in industrial applications. Firstly, the machined side surface topography formation mechanism in profile milling straight slot machined by single-pass processing with a solid end mill is presented. Then, the numerical prediction models for machined side surface roughness in straight slot profile end milling are proposed. The proposed model can accurately predict the surface topography, and the relative prediction errors of the surface roughness (Sa) are within 6.34% for the whole cases in this research. Finally, the effect of cutting parameters on the residual heights of the machined side surface is analyzed. The formation mechanisms of machined two side surface topographies on the straight slot are distinct, for which one side surface is machined by up milling while another is by down milling. It is shown that the different tool trajectories cause the distinction for milling each slot side. The machined side surface topography can be controlled by selecting optimized tool motion parameters and cutting parameters. The influences of tool deflection and tool wear on the surface topography are ignored in the current research, which will be considered in the future.
- Subjects
SURFACE topography; MILLING cutters; SLOT machines; PREDICTION models; SLOT antennas; SIMPLE machines; SURFACE roughness; WALLS
- Publication
International Journal of Advanced Manufacturing Technology, 2023, Vol 124, Issue 3/4, p1095
- ISSN
0268-3768
- Publication type
Article
- DOI
10.1007/s00170-022-10587-4