Paper Info
Title
A modeling and optimization method for heterogeneous objects based on complex networks theory
Abstract
Heterogeneous objects (HEO) which refer to product models with spatially different material compositions or structures have attracted extensive attention from different disciplines due to emerging techniques in design and manufacturing in the last decade. The recent additive manufacturing technologies have bridges the gap between the design and manufacture for HEO. The models are the core for additive manufacturing, while designing heterogeneous objects is still a complex task. In this paper, a novel HEO modeling method based on complex networks theory is first proposed. It models the hollowing Voronoi cell as nodes and force relationship among them as edges. The nodes are weighted by the stress distribution in the mode. The force-directed algorithm is applied to construct the initial porous model. A mixed genetic algorithm is then used to accurately adjust the count and distribution of porous structures, which is necessary to reduce consumption and printing costs. The volume minimized HEO model is archived finally.
Year
DOI
Venue
2019
10.1007/s10586-017-1378-2
Cluster Computing
Keywords
Field
DocType
CAD, Complex networks, Mixed genetic algorithm, 3D printing
CAD,Computer science,Mode (statistics),Voronoi diagram,3D printing,Complex network,Genetic algorithm,Distributed computing
Journal
Volume
Issue
ISSN
22
SP2.0
1573-7543
Citations 
PageRank 
References 
0
0.34
15
Authors
3
Name
Order
Citations
PageRank
Denghui Zhang100.34
Yiqi Zhou200.68
Yang Guo300.68