Modeling and Simulations for Polyetheretherketone Milling Forces
- DOI
- 10.2991/smont-19.2019.10How to use a DOI?
- Keywords
- polyetheretherketone; milling force; finite element method; analysis of variance
- Abstract
Due to its enhanced chemical and mechanical structure, Polyetheretherketone (PEEK) material has been widely employed as biomaterials for trauma, orthopedic, and spinal implants. But there is a lack of cutting forces in PEEK machining. In this paper, the milling simulations of single factor and orthogonal are carried out taking the milling forces as the study index. According to the results of single factor simulation, it is found that with the increasing of milling parameters ae, ap and fz, the milling force presents a trend of increasing, and the change is very obvious. However, with the increase of spindle speed, the milling force first increases, then decreases, and finally increases. The overall trend is small. Because the spindle speed has little influence on the milling force, so only select ae, ap, fz to conduct the orthogonal simulation. Through the analysis of variance of the orthogonal simulation data, it can be concluded that both the axial depth of cut ap and the radial depth of cut ae have more significant influences on milling forces than the feed engagement fz. The significance order from large to small is the radial depth of cut ap, the axial depth of cut ae, and the feed engagement fz. This study can provide a theoretical reference for the milling process optimization of the PEEK material.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yang Li AU - Xiang Cheng AU - Shengfu Duan AU - Xianhai Yang AU - Yuanyong Liu PY - 2019/04 DA - 2019/04 TI - Modeling and Simulations for Polyetheretherketone Milling Forces BT - Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019) PB - Atlantis Press SP - 38 EP - 41 SN - 1951-6851 UR - https://doi.org/10.2991/smont-19.2019.10 DO - 10.2991/smont-19.2019.10 ID - Li2019/04 ER -