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

Volume

2

fYear

2010

fDate

16-18 April 2010

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering and Technology (ICCET), 2010 2nd International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-6347-3

Type

conf

DOI

10.1109/ICCET.2010.5485285

Filename

5485285