Title :
Research on model partition for large-scale rapid prototyping
Author :
Hao, Jingbin ; Fang, Liang ; Wang, Jingya
Author_Institution :
Dept. of Mech. Eng. & Autom., China Univ. of Min. & Technol., Xuzhou, China
Abstract :
To build the large-scale model efficiently based on RP, an optimal partition method was described with no need to extend the machine´s work volume. By the proposed edge-based partitioning, the large and complex model can be decomposed into small and simple sub-models according to its structure. In this paper, the best fit loop selecting and the hierarchical decomposing are also presented. Several experimental results demonstrate the reliability and efficiency of the edge-based partitioning.
Keywords :
production engineering computing; rapid prototyping (industrial); edge-based partitioning; hierarchical decomposing; largescale rapid prototyping; machine work volume; optimal partition method; Algorithm design and analysis; Animal structures; Fabrication; Feature extraction; Image segmentation; Large-scale systems; Mechanical engineering; Partitioning algorithms; Performance analysis; Prototypes; curvature estimation; edge-based partitioning; large-scale STL model; model partition; rapid prototypes;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5485285
