Host: The Institute of Systems, Control and Information Engineers
Name : 2022 International Symposium of Flexible Automation
Location : Hiyoshi Campus, Keio University, Yokohama, Japan
Date : July 03, 2022 - July 07, 2022
Pages 89-95
To appropriately proceed with a machine design, it is important to define the part shape while confirming the thickness distribution throughout the part as needed. In this study, we developed a novel method to visualize the thickness distribution in a solid object using a translucent point cloud. In this method, numerous points are randomly placed inside a solid object, then the volumetric thickness value at each point is computed. Efficient computation is realized using hierarchical axis-aligned bounding boxes to manage the maximum inscribed spheres inside the solid and parallel processing technology of a graphics processing unit (GPU). To improve the performance, a cell structure based on an orthogonal grid is introduced to efficiently detect the axis-aligned bounding boxes (AABBs) commonly indicated by close points and store them in high-speed shared memory. By rendering the translucent points that are color-coded according to their thickness values, the thickness distribution inside a solid object can be represented in an easy-to-understand manner. Numerical experiments are performed to verify the effectiveness of the proposed algorithm.
