Evidence map›Paper›PMID 37374485›Full record

ArticleMaterials (Basel, Switzerland)2023

Study on the Compressive Properties of an Elastomeric Porous Cylinder Using 360° Three-Dimensional Digital Image Correlation System.

Wei Sun, Jie Zhao, Xin Li, Zhongda Xu, Zhenning Chen

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2023. 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
–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

1 citing paper in PubMed.

  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

5 authors.

Wei SunCollege of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Jie ZhaoCollege of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Xin LiCollege of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Zhongda XuCollege of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Zhenning ChenCollege of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.

Funding

National Natural Science Foundation of China Grant No.12272176National Natural Science Foundation of China No.U2037603
6 · The paper itself

Abstract

To study the compressive properties of an elastomeric porous cylinder, a 360° 3D digital image correlation (DIC) system is proposed. This compact vibration isolation table system captures different segments of the object from four different angles and fields of view, enabling a comprehensive measurement of the full surface of the object. To increase the stitching quality, a coarse-fine coordinate matching method is presented. First, a three-dimensional rigid body calibration auxiliary block is employed to track motion trajectory, which enables preliminary matching of four 3D DIC sub-systems. Subsequently, scattered speckle information characteristics guide fine matching. The accuracy of the 360° 3D DIC system is verified through a three-dimensional shape measurement conducted on a cylindrical shell, and the maximum relative error of the shell's diameter is 0.52%. A thorough investigation of the 3D compressive displacements and strains exerted on the full surface of an elastomeric porous cylinder are investigated. The results demonstrate the robustness of the proposed 360° measuring system on calculating images with voids and indicate a negative Poisson's ratio of periodically cylindrical porous structures.

Indexed as

360° 3D DIC systemcoarse-fine matching methodcompressive propertieselastomeric periodically porous cylinderfull surface strain measurement

Identifiers

PMID37374485
PMCPMC10304960

What OpenQuestion holds

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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.