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Erschienen in: Cluster Computing 2/2019

22.11.2017

A modeling and optimization method for heterogeneous objects based on complex networks theory

verfasst von: Denghui Zhang, Yiqi Zhou, Yang Guo

Erschienen in: Cluster Computing | Sonderheft 2/2019

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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.

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Metadaten
Titel
A modeling and optimization method for heterogeneous objects based on complex networks theory
verfasst von
Denghui Zhang
Yiqi Zhou
Yang Guo
Publikationsdatum
22.11.2017
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe Sonderheft 2/2019
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-017-1378-2

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