Geometric process planning in rough machining

摘要: This thesis examines geometric process planning in four-axis rough machining. A review of existing literature provides a foundation for machining; efficiency (tool path length) is identified as primary concern. Emergent structures (thin webs and strings) are proposed new metric robustness. Previous research efforts contrasted to establish motivation improvements these areas The original presented journal article. develops methodology quickly estimating the remaining stock during plurality 2 1⁄2 D cuts defined by their depth orientation relative rotary fourth axis. Unlike tool simulators, this method can be performed independently (and thus prior to) generation. algorithms use polyhedral mesh surface input create analyze polygonal slices, which again reconstructed into surfaces. At slice level, nearly all operations Boolean nature, allowing simple implementation. novel heuristic reconstruction application presented. Results shown sample components, showing significant reduction overall machining length. discussion future work brief how applied detecting thin strings or calculating such that it planning, committing