| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 380930 | Engineering Applications of Artificial Intelligence | 2012 | 12 Pages |
Abstract
This paper presents a NC toolpath generation strategy with tool engagement control for arbitrarily complex discrete part geometry, which reduces machining time and tool wear and can be used in high speed machining. The toolpath computation is based on image models for design part, raw stock and cutting tool, and involves pixel-based simulation of the milling process. Simulation results and comparison with existing methods are presented.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Alexandru Dumitrache, Theodor Borangiu,