Evidence map›Paper›PMID 40805492›Full record

ArticleMaterials (Basel, Switzerland)2025

Mechanical Behavior of Topology-Optimized Lattice Structures Fabricated by Additive Manufacturing.

Weidong Song, Litao Zhao, Junwei Liu, Shanshan Liu, Guoji Yu, Bin Qin, Lijun Xiao

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Weidong SongState Key Laboratory of Explosion Science and Safety Protection, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0001-6362-6607
Litao ZhaoState Key Laboratory of Explosion Science and Safety Protection, Beijing Institute of Technology, Beijing 100081, China.
Junwei LiuInstitute of Systems Engineering, China Academy of Engineering Physics, Mianyang 621999, China.
Shanshan LiuState Key Laboratory of Explosion Science and Safety Protection, Beijing Institute of Technology, Beijing 100081, China.
Guoji YuInner Mongolia Metal Material Research Institute, Yantai 264003, China.ORCID 0009-0009-1507-0179
Bin QinNational Key Laboratory of Transient Impact, No. 208 Research Institute of China Ordnance Industries, Beijing 102200, China.
Lijun XiaoState Key Laboratory of Explosion Science and Safety Protection, Beijing Institute of Technology, Beijing 100081, China.

Funding

Beijing Institute of Technology Research Fund Program for Young Scholars XSQD-202102005National Natural Science Foundation of China 12002049National Natural Science Foundation of China 12172056National Natural Science Foundation of China 12372349Sichuan Provincial Key Lab of Shock and Vibration of Engineering Materials and Structures Southwest University of Science and Technology, 22kfgk02State Key Laboratory of Computational Physics 6142A05230102State Key Laboratory of Explosion Science and Technology YBKT23-03
6 · The paper itself

Abstract

Lattice-based metamaterials have attracted much attention due to their excellent mechanical properties. Nevertheless, designing lattice materials with desired properties is still challenging, as their mesoscopic topology is extremely complex. Herein, the bidirectional evolutionary structural optimization (BESO) method is adopted to design lattice structures with maximum bulk modulus and elastic isotropy. Various lattice configurations are generated by controlling the filter radius during the optimization processes. Afterwards, the optimized lattices are fabricated using Stereo Lithography Appearance (SLA) printing technology. Experiments and numerical simulations are conducted to reveal the mechanical behavior of the topology-optimized lattices under quasi-static compression, which are compared with the traditional octet-truss (OT) and body-centered cubic (BCC) lattice structures. The results demonstrate that the topology-optimized lattices exhibited superior mechanical properties, including modulus, yield strength, and specific energy absorption, over traditional OT and BCC lattices. Moreover, apart from the elastic modulus, the yield stress and post-yield stress of the topology-optimized lattice structures with elastically isotropic constraints also present lower dependence on the loading direction. Accordingly, the topology optimization method can be employed for designing novel lattice structures with high performance.

Indexed as

additive manufacturingelastic isotropylattice structuremaximum bulk modulustopology optimization

Identifiers

PMID40805492
PMCPMC12348496

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.