Direct slicing of cloud data with guaranteed topology for rapid prototyping |
| |
Authors: | Yanjie Qiu Xionghui Zhou Xiaoping Qian |
| |
Affiliation: | 1. National Die and Mold CAD Engineering Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 200030, China 2. Department of Mechanical, Materials and Aerospace Engineering, Illinois Institute of Technology, Chicago, IL, 60616, USA
|
| |
Abstract: | Direct slicing of point cloud is an effective way to integrate reverse engineering and rapid prototyping. However, since the input of the direct slicing process is discrete point data, connections between the points are absent. The lack of global structure may make the process fail to handle complex shapes that have multicontoured slices. Furthermore, it may cause accuracy loss at some important features, e.g., at topology transitions. In order to overcome the above limitations, this paper presents a method to extract topological structure from the point cloud and applies the structure into a moving-least square (MLS) surface-based direct slicing process. In addition to the topology extraction, two modifications are made to improve the efficiency and stability of the process: (1) a variation of the traditional projection-based MLS surface is adopted; (2) a rectification algorithm is presented in 2D contour generation to avoid biased curves when abrupt curvature changes happen. The improved direct slicing method is tested by some case studies including synthetic and scanned data. The efficacy of the algorithm is demonstrated by the results. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|