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Erschienen in: Chinese Journal of Mechanical Engineering 5/2017

27.07.2017 | Original Article

Design Optimization of Irregular Cellular Structure for Additive Manufacturing

verfasst von: Guo-Hua Song, Shi-Kai Jing, Fang-Lei Zhao, Ye-Dong Wang, Hao Xing, Jing-Tao Zhou

Erschienen in: Chinese Journal of Mechanical Engineering | Ausgabe 5/2017

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Abstract

Irregularcellular structurehas great potential to be considered in light-weight design field. However, the research on optimizing irregular cellular structures has not yet been reporteddue to the difficulties in their modeling technology. Based on the variable density topology optimization theory, an efficient method for optimizing the topology of irregular cellular structures fabricated through additive manufacturing processes is proposed. The proposed method utilizes tangent circles to automatically generate the main outline of irregular cellular structure. The topological layoutof each cellstructure is optimized using the relative density informationobtained from the proposed modified SIMP method. A mapping relationship between cell structure and relative densityelement is builtto determine the diameter of each cell structure. The results show that the irregular cellular structure can be optimized with the proposed method. The results of simulation and experimental test are similar for irregular cellular structure, which indicate that the maximum deformation value obtained using the modified Solid Isotropic Microstructures with Penalization (SIMP) approach is lower 5.4×10−5 mm than that using the SIMP approach under the same under the same external load. The proposed research provides the instruction to design the other irregular cellular structure.

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Metadaten
Titel
Design Optimization of Irregular Cellular Structure for Additive Manufacturing
verfasst von
Guo-Hua Song
Shi-Kai Jing
Fang-Lei Zhao
Ye-Dong Wang
Hao Xing
Jing-Tao Zhou
Publikationsdatum
27.07.2017
Verlag
Chinese Mechanical Engineering Society
Erschienen in
Chinese Journal of Mechanical Engineering / Ausgabe 5/2017
Print ISSN: 1000-9345
Elektronische ISSN: 2192-8258
DOI
https://doi.org/10.1007/s10033-017-0168-3

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