Research On The Regional Division Of Free Surface Machining Based On K-Means Clustering Algorithm

DOI

10.2991/icmcm-16.2016.63How to use a DOI?

Keywords

K-means; Free surface; region division

Abstract

For automobile covering parts of the die size and surface between adjacent points are frequent change of curvature and variation amplitude is bigger, the K-means clustering algorithm, to sub surface boundary region data parameterization, and ultimately realize the surface area. It is at this time, complex parametric curved surface that is composed of a series of easy combination of mechanical processing of simple and small surface and, for follow-up with same shape feature or a similar sub surface can be used similar parameters for 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  - Xianlong Han
PY  - 2016/12
DA  - 2016/12
TI  - Research On The Regional Division Of Free Surface Machining Based On K-Means Clustering Algorithm
BT  - Proceedings of the 2016 7th International Conference on Mechatronics, Control and Materials (ICMCM 2016)
PB  - Atlantis Press
SP  - 312
EP  - 317
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmcm-16.2016.63
DO  - 10.2991/icmcm-16.2016.63
ID  - Han2016/12
ER  -