半球射线投射分析用于铣削配置分类与可加工性评估
Hemispherical Ray-Casting Analysis for Milling Configuration Classification and Machinability Assessment
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中文总结 AI 辅助
提出GPU加速的半球射线投射分析方法，从CAD文件直接评估CNC可加工性，通过多阶段流程分类三轴/多轴加工并计算最小装夹次数，支持交互式设计反馈。
中文摘要 AI 辅助
早期可制造性评估可减少设计迭代和昂贵的下游变更。本文提出一种GPU加速的几何分析方法，可直接从CAD文件评估CNC可加工性和装夹需求。多阶段流程使用半球射线投射量化表面可达性，随后通过方向变异性分析提取主导加工轴。基于阈值的分类确定三轴与多轴加工。对于三轴零件，正交射线投射和可达性优化计算最小装夹次数，并明确标记不可达表面。验证案例显示计算时间足够短，可支持交互式CAD工作流，从而在设计阶段无需制造专业知识即可提供定量可制造性反馈。
英文摘要
Early-stage manufacturability assessment reduces design iterations and costly downstream changes. This paper presents a GPU-accelerated geometric analysis method that evaluates CNC machinability and setup requirements directly from CAD files. A multi-stage pipeline uses hemispherical ray-casting to quantify surface accessibility, followed by directional variability analysis to extract dominant machining axes. Threshold-based classification determines 3-axis versus multi-axis machining. For 3-axis parts, orthogonal ray-casting and reachability optimization compute the minimum setup count and explicitly flag inaccessible surfaces. Validation cases show computation times sufficiently short to support interactive CAD workflows, enabling quantitative manufacturability feedback during the design stage without requiring manufacturing expertise.
发表机构
- KU Leuven（荷语鲁汶大学）
机构由 AI 辅助整理，请以论文原文为准。
