Accessibility Analysis for Automatic Inspection Using Bounding Volume Hierarchies

B. Álvarez, P. Fernández, S. M. Diaz, J. C. Rico, C. Suarez
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Abstract

The accessibility analysis presented in this paper is based on part discretization and the application of space partitioning techniques (kd-tree) in order to reduce the number of intersection tests between probe and part. The discretization of the part in a set of triangles (STL model) allows the developed algorithms to be applied to whatever part or environment obstacle, independently of their geometry. A recursive ray traversal algorithm has been used in order to speed up the traversal of the hierarchical structure of the kd-tree and to calculate exclusively the intersection of each probe orientation with those part triangles that potentially can interfere with it. In a further step of the analysis, the real geometry of the probe has been considered. For this, a simplified model has been developed for each probe component (column, head, touch probe, stylus and tip) using different basic geometrical shapes. Different models for each probe component have been tested to calculate their intersection with the part, and several algorithms have been implemented to accelerate the computation. Finally, collision-free probe orientations are clustered for minimizing the orientation changes during the inspection process. Furthermore, the applied algorithm allows for determining different valid combinations of clusters.
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基于边界卷层次结构的自动检测可达性分析
本文提出的可达性分析基于零件离散化和空间划分技术(kd-tree),以减少探头与零件之间的相交测试次数。零件在一组三角形中的离散化(STL模型)允许开发的算法应用于任何零件或环境障碍,独立于其几何形状。为了加速kd-tree的层次结构的遍历,并专门计算每个探针方向与可能干扰它的部分三角形的交点,使用了递归射线遍历算法。在进一步的分析中,考虑了探针的实际几何形状。为此,使用不同的基本几何形状为每个探针组件(柱、头、触摸探针、触控笔和尖端)开发了一个简化模型。测试了每个探针组件的不同模型来计算它们与部件的相交,并实现了几种算法来加速计算。最后,对无碰撞的探针方向进行聚类,使检测过程中的方向变化最小化。此外,应用的算法允许确定不同的簇的有效组合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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