Evidence map›Paper›PMID 35207879›Full record

ArticleMaterials (Basel, Switzerland)2022

Study on the Shear Modulus Based Equivalent Homogenization Methods of Multi-Layer BCC Lattice Sandwich.

Wukun Zhang, Jian Zhao, Yonghua Tan, Yushan Gao, Jun Wang, Xiaoliang Geng

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 30% of its field
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

1 citing paper in PubMed, 10 citations in OpenAlex.

  1. 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

6 authors at 3 institutions in 1 country.

Wukun ZhangXi'an Aerospace Propulsion Institute, Xi'an 710100, China.ORCID 0000-0001-9860-1055
Jian ZhaoXi'an Aerospace Propulsion Institute, Xi'an 710100, China.
Yonghua TanNational Key Laboratory of Science and Technology on Liquid Rocket Engines, Xi'an 710100, China.
Yushan GaoXi'an Aerospace Propulsion Institute, Xi'an 710100, China.
Jun WangXi'an Aerospace Propulsion Institute, Xi'an 710100, China.
Xiaoliang GengSchool of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical University, Xi'an 710072, China.
China Academy of Launch Vehicle Technology · CNNorthwestern Polytechnical University · CNShenzhen Academy of Aerospace Technology · CN

Funding

the development fund of Key Laboratory of liquid rocket engine 6142704200405
6 · The paper itself

Abstract

In this paper, the shear modulus based equivalent homogenization methods of multi-layer BCC (body-centered cubic) lattice sandwich structures have been studied using analytical, experimental, and finite element methods. In the analytical approach, the multiple strut-deformation patterns were introduced in the derivations of the shear modulus based on Euler-Bernoulli beam theory and Timoshenko beam theory according to different boundary conditions. The analytical shear modulus of three types of rectangle shaped sandwich BCC lattice structures was derived. Finite element models of the BCC lattice structures by ANSYS were conducted to estimate the analytical solutions. Butterfly style sandwich BCC lattice structures were printed by SLM technology using 304 stainless steel (06Cr19Ni10), and corresponding shear experiments using modified Arcan Rig experimental devices were conducted to validate the analytical and numerical calculations. Good agreements were observed among the analytical, numerical, and experimental results.

Indexed as

equivalent shear modulushomogenizationmulti-layer BCC lattice structuresselective laser meltingshear experiments

Identifiers

PMID35207879
PMCPMC8875237
OpenAlexW4213194361

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.