Study on Micromilling Processes for Polymethyl Methacrylate

DOI

10.2991/icimm-16.2016.72How to use a DOI?

Keywords

Micromilling; PMMA; Regression Model; Process Study

Abstract

Polymethyl methacrylate (PMMA) has been commonly used to manufacture polymer microfludic devices owing to its advantages such as low cost, biocompatibility and optical properties. The forecast regression model of surface roughness is constructed for micromilling of PMMA by the least square method. Surface roughness is selected as the judging criterion to study micromilling processes. Experiments have been processed on a three-axis desktop micromilling machine tool by conducting six different micromilling ways composed of the downfeed from outside and inside of the workpiece, climb milling, and conventional milling. Experimental results show that the forecast model is realistic to reflect the results of the experiments. The surface roughness achieved by the downfeed from outside of the workpiece is better than that from the inside of the workpiece when other micromilling settings are fixed. The smallest surface roughness value is achieved with the blend of climb milling and conventional milling, and the maximum surface roughness value is achieved with the conventional milling.

Copyright

© 2016, 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/).

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TY  - CONF
AU  - Fanjie Meng
AU  - Xiang Cheng
AU  - Qiulian Sun
AU  - Rufeng Xu
AU  - Xianhai Yang
PY  - 2016/11
DA  - 2016/11
TI  - Study on Micromilling Processes for Polymethyl Methacrylate
BT  - Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 394
EP  - 400
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-16.2016.72
DO  - 10.2991/icimm-16.2016.72
ID  - Meng2016/11
ER  -