An algorithm for generating NC tool paths for arbitrarily shaped pockets with islands
ACM Transactions on Graphics (TOG)
Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
A dynamic offsetting approach to tool path generation for machining convex pockets
CIE '96 Proceedings of the 19th international conference on Computers and industrial engineering
On the Generation of Skeletons from Discrete Euclidean Distance Maps
IEEE Transactions on Pattern Analysis and Machine Intelligence
Equivolumetric offsets for 2D machining with constant material removal rate
Computer Aided Geometric Design
Optimization and selection of cutters for 3D pocket machining
International Journal of Computer Integrated Manufacturing
Engineering Applications of Artificial Intelligence
Tool-path generation for sidewall machining
Computers and Industrial Engineering
A smooth spiral tool path for high speed machining of 2D pockets
Computer-Aided Design
Machining feature recognition and tool-path generation for 3-axis CNC milling
Computer-Aided Design
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This paper presents a new approach to improve tool selection for arbitrary shaped pockets based on an approximate polygon subdivision technique. The pocket is subdivided into smaller sub-polygons and tools are selected separately for each sub-polygon. A set of tools for the entire pocket is obtained based on both machining time and the number of tools used. In addition, the sub-polygons are sequenced to eliminate the requirement of multiple plunging operations. In process planning for pocket machining, selection of tool sizes and minimizing the number of plunging operations can be very important factors. The approach presented in this paper is an improvement over previous work in its use of a polygon subdivision strategy to improve the machining time as well as reducing the number of plunges. The implementation of this technique suggests that using a subdivision approach can reduce machining time when compared to solving for the entire polygonal region.