Gouge Detection Algorithms for Sculptured Surface NC Generation
Gouge Detection Algorithms for Sculptured Surface NC Generation
复制标题
用于雕刻表面 NC 生成的凿痕检测算法
DOI：
10.1115/1.2901627
复制
发表时间：
1993
期刊：
影响因子：
--
通讯作者：
E. Goodman
中科院分区：
文献类型：
--
作者：
J. Oliver;D. A. Wysocki;E. Goodman
Two algorithms are presented to detect and correct milling errors which can occur in commonly applied three-axis NC generation procedures for sculptured surface parts. The first method exploits surface normals and the geometry of the tool to accurately characterize the chordal deviation resulting from an actual tool motion. The second technique considers the global nature of an entire tool pass to detect gouging in areas of high curvature variation. This method is capable of detecting gouges in both locally concave and convex regions of curvature. The algorithms are designed in a modular fashion and can be incorporated as part of the general generative procedure. Results of such an implementation are presented which dem onstrate the benefits of the gouge detection algorithms.
