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The International Journal of Advanced Manufacturing Technology
Published in: The International Journal of Advanced Manufacturing Technology 9-10/2021

07-06-2021 | ORIGINAL ARTICLE

An analytical prediction model of surface topography generated in 4-axis milling process

Authors: Ruihu Zhou, Qinlin Chen

Published in: The International Journal of Advanced Manufacturing Technology | Issue 9-10/2021

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Abstract

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.
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Metadata
Title
An analytical prediction model of surface topography generated in 4-axis milling process
Authors
Ruihu Zhou
Qinlin Chen
Publication date
07-06-2021
Publisher
Springer London
Published in
The International Journal of Advanced Manufacturing Technology / Issue 9-10/2021
Print ISSN: 0268-3768
Electronic ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-021-07410-x

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