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Space Node Topology Optimization Design Considering Anisotropy of Additive Manufacturing

Authors :
Xianjie Wang
Fan Zhang
Zhenjiang Weng
Xinyu Jiang
Rushuang Wang
Hao Ren
Feiyun Zheng
Source :
Applied Sciences, Vol 12, Iss 18, p 9396 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

At present, a large number of scholars have conducted related research on topology optimization for additive manufacturing (AM). However, there are few relevant research reports on the impact of different directions of additive manufacturing on the optimal design and manufacturing results. In this paper, using the bidirectional evolutionary optimization (BESO) method, anisotropic optimization analysis was carried out on space nodes that are currently popular in the field of additive manufacturing and topology optimization. The elastic constants in different directions were used as anisotropic material properties for optimization research in this paper through tensile testing, which was carried out on 316L stainless-steel specimens fabricated using Selective Laser Melting (SLM) technology. In addition, SEM analyses were performed to explore the microscopic appearance of the material. The study found that additive manufacturing is affected by the printing direction in terms of both macroscopic mechanical properties and microscopic material structure; the deformation obtained by anisotropic optimization was about 1.1–2.3% smaller than that obtained by isotropic optimization.

Details

Language :
English
ISSN :
20763417
Volume :
12
Issue :
18
Database :
Directory of Open Access Journals
Journal :
Applied Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.16c190b5b2945209b5a029c0242da1e
Document Type :
article
Full Text :
https://doi.org/10.3390/app12189396