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A novel complex network-based modeling method for heterogeneous product design

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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. In this paper, through the comparative study among 10 CAD modeling methods and 27 HEO, it is found that the existing methods and tools cannot model these complex structures because HEO derive their properties not from the properties of the base materials, but from their newly designed structures. A novel HEO modeling method based on complex networks theory is proposed. It models component cells as nodes and force relationship among them as edges. The complex network is introduced to represent the HEO as their topological structures are very similar. The modelling of complex structures based on 2D and 3D topology deriving from evolving models of complex networks is carried out to validate the feasibility of the proposed method.

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Acknowledgements

The work reported in this paper is partially funded by the National Key Technology R&D Program of the Ministry of Science of China under Grant 2015BAF07B04 and High-level Personnel Training Plan in Hebei Province of China under Grant Z1100903.

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Authors and Affiliations

  1. School of Mechanical Engineering, Shandong University, Jinan, 250100, People’s Republic of China

    Denghui Zhang & Yiqi Zhou

  2. School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang, 050043, People’s Republic of China

    Zhengxu Zhao & Yang Guo

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  1. Denghui Zhang
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  2. Zhengxu Zhao
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  4. Yang Guo
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Correspondence to Denghui Zhang.

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Zhang, D., Zhao, Z., Zhou, Y. et al. A novel complex network-based modeling method for heterogeneous product design. Cluster Comput 22 (Suppl 4), 7861–7872 (2019). https://doi.org/10.1007/s10586-017-1463-6

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  • DOI: https://doi.org/10.1007/s10586-017-1463-6

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