Evidence map›Paper›PMID 38543464›Full record

ArticlePolymers2024

In-Plane Elastic Properties of 3D-Printed Graded Hierarchical Hexagonal Honeycombs.

Yong Tao, Ruochao Zhao, Jun Shi, De Zhou, Yanqun Han

Abstract read
In one paragraph

Article in Polymers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Yong TaoSchool of Civil Engineering, Central South University, Changsha 410075, China.ORCID 0000-0002-4360-2752
Ruochao ZhaoSchool of Civil Engineering, Central South University, Changsha 410075, China.
Jun ShiSchool of Civil Engineering, Central South University, Changsha 410075, China.
De ZhouSchool of Civil Engineering, Central South University, Changsha 410075, China.
Yanqun HanSchool of Civil Engineering, Central South University, Changsha 410075, China.

Funding

National Natural Science Foundation of China 11802044the Fundamental Research Funds for the Central Universities of Central South University 2023ZZTS0695the Open Research Project of Hunan Tieyuan Civil Engineering Testing Co., Ltd. HNTY2022K06
6 · The paper itself

Abstract

In this study, the graded hierarchical hexagonal honeycomb (GHHH) integrating gradient design and hierarchical design was fabricated using the 3D-printing technique, and its in-plane elastic properties were investigated theoretically, experimentally, and numerically. Theoretical solutions were developed based on the Euler beam theory to predict the effective elastic modulus and Poisson's ratio of GHHH, and theoretical values were in good agreement with the experimental and numerical results. The effect of gradient design and hierarchical design on the in-plane elastic properties of GHHH was also analyzed and compared. Results showed that the hierarchical design has a more significant effect on Poisson's ratio and adjusting the internal forces of GHHH compared with the gradient design. In addition, it was found that GHHH exhibited higher stiffness compared with regular hexagonal honeycomb (RHH), graded hexagonal honeycomb (GHH), and vertex-based hierarchical hexagonal honeycomb (VHHH) under the constraint of the same relative density, respectively. Specifically, the effective elastic modulus of GHHH can be enhanced by 119.82% compared to that of RHH. This research will help to reveal the effect of integrating hierarchical design and gradient design on the in-plane elastic properties of honeycombs.

Indexed as

additive manufacturing techniquesfinite element analysisgraded hierarchical honeycombin-plane elastic propertiestheoretical modeling

Identifiers

PMID38543464
PMCPMC10975753

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Registered trials

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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.