Research On The Regional Division Of Free Surface Machining Based On K-Means Clustering Algorithm
- 10.2991/icmcm-16.2016.63How to use a DOI?
- K-means; Free surface; region division
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.
- © 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/).
Cite this article
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 -