Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)

Research on Surface Micro Pattern Generation in Turn-Milling Considering Ball-End Milling Cutter Eccentricity

Authors
Huiqun Chen, Jiliang Hu
Corresponding Author
Huiqun Chen
Available Online March 2018.
DOI
https://doi.org/10.2991/mecae-18.2018.149How to use a DOI?
Keywords
turn-milling, surface micro-pattern, ball-end milling cutter, cutter eccentricity.
Abstract
The mathematical model of machined workpiece by orthogonal turn-milling with ball-end milling cutter is established, which takes the effect of ball-end milling cutter eccentricity into account. The simulation steps and flow chart of the algorithm are also given in this paper. The relation between representative turn-milling parameters (feed per tooth) and machined surface micro-pattern has been ascertained, which provides evaluation mechanisms reference for surface micro-pattern in the turn-milling affected by other machining parameters, the surface micro-pattern simulation is developed base on computer programming. The consistency of surface micro-pattern in simulation and machining experiment is verified, which is in the aspect of shapes and positions layout of peaks and valleys on the micro-pattern. This model is effective and feasible that it also can provide a basis for rational selection of cutting parameters in turn-milling.
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Proceedings
2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
Part of series
Advances in Engineering Research
Publication Date
March 2018
ISBN
978-94-6252-493-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/mecae-18.2018.149How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Huiqun Chen
AU  - Jiliang Hu
PY  - 2018/03
DA  - 2018/03
TI  - Research on Surface Micro Pattern Generation in Turn-Milling Considering Ball-End Milling Cutter Eccentricity
BT  - 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-18.2018.149
DO  - https://doi.org/10.2991/mecae-18.2018.149
ID  - Chen2018/03
ER  -