一种基于特征提取的曲面雕刻自适应路径规划方法
By constructing a composite machining atlas and using Riemannian metric fields to guide adaptive path planning, the problem of insufficient feature region recognition in curved surface carving was solved, enabling adaptive adjustment of the tool path and improving carving quality and efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DONGTAI XUHAO PRECISION TECH CO LTD
- Filing Date
- 2025-12-25
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies lack independent identification and extraction of feature regions in curved surface carving, which makes it impossible for path planning to automatically switch to adapt to different feature parts with different topologies and processing strategies, and thus cannot balance the carving quality of local features with overall processing efficiency.
By constructing a composite machining map that includes texture complexity and geometric tolerance, the controlled wavefront propagation of topological skeleton nodes is guided by a Riemannian metric field to generate an adaptive tool position sequence. Combined with a feature-feed speed coupling control law, the CNC machining instructions are optimized.
It achieves a natural fit between the tool path and the surface texture flow, avoiding texture damage, improving the artistic expression and surface smoothness of the engraving, and supplementing the path in the high-frequency area with precision tolerance, while matching the sparse path in the low-frequency background area with ordinary tolerance, thus improving the overall processing efficiency and forming quality.
Smart Images
Figure CN121613816B_ABST