Evidence map›Paper›PMID 33396900›Full record

ArticleMaterials (Basel, Switzerland)2020

Numerical Investigation of Effective Thermal Conductivity of Strut-Based Cellular Structures Designed by Spatial Voronoi Tessellation.

Minghao Zhang, Junteng Shang, Shiyue Guo, Boyoung Hur, Xuezheng Yue

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2020. 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Minghao ZhangSchool of Materials Science and Engineering, University of Shanghai for Science and Technology, No. 516, Jungong Road, Shanghai 200082, China.ORCID 0000-0001-9768-2236
Junteng ShangSchool of Materials Science and Engineering, University of Shanghai for Science and Technology, No. 516, Jungong Road, Shanghai 200082, China.ORCID 0000-0001-8709-3032
Shiyue GuoDepartment of Aerospace Engineering, Tokyo Metropolitan University, Tokyo 191-0065, Japan.
Boyoung HurDepartment of Metallurgical and Materials Engineering, Gyeongsang National University, Jinju 501, Korea.
Xuezheng YueSchool of Materials Science and Engineering, University of Shanghai for Science and Technology, No. 516, Jungong Road, Shanghai 200082, China.

Funding

NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA Grant Number. 11947137SHANGHAI SAILING PROGRAM Grant Number 19YF1434300
6 · The paper itself

Abstract

Porous materials possess light weight and excellent thermal insulation performance. For disordered porous structures, the number of seed points is an important design parameter which is closely related to the morphology and mean pore size of the structure. Based on the arrangement of points in three-dimensional space, seven kinds of structures were designed by spatial Voronoi tessellation in this paper. The effect of the number of seed points on effective thermal conductivity for Voronoi was studied. Numerical simulation was conducted to research the effects of structural porosity, filling material and structural orientation on the effective thermal conductivity and heat transfer characteristics. The results showed that the effective thermal conductivity is closely related to the porosity and the matrix material. Different number and arrangement of seed points make the structure have different anisotropic performance due to different thermal paths. In addition, required the least number of seed points was obtained for the designation of isotropic random Voronoi.

Indexed as

cellular structureeffective thermal conductivityfinite element analysisheat transferVoronoi tessellation

Identifiers

PMID33396900
PMCPMC7795474

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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.