Evidence map›Paper›PMID 36354640›Full record

ArticleGels (Basel, Switzerland)2022

X-ray Tomography Coupled with Finite Elements, A Fast Method to Design Aerogel Composites and Prove Their Superinsulation Experimentally.

Genevieve Foray, Jaona Harifidy Randrianalisoa, Jerome Adrien, Eric Maire

Abstract read
In one paragraph

Article in Gels (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
–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

4 authors.

Genevieve ForayUniversité de Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, MATEIS, UMR-5510, 69621 Villeurbanne, France.ORCID 0000-0002-8223-5342
Jaona Harifidy RandrianalisoaInstitut de Thermique, Mécanique et Matériaux (ITheMM), Université de Reims Champagne-Ardenne, Campus Moulin de la Housse, CEDEX 2, 51687 Reims, France.ORCID 0000-0002-6171-9970
Jerome AdrienUniversité de Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, MATEIS, UMR-5510, 69621 Villeurbanne, France.ORCID 0000-0003-0341-3559
Eric MaireUniversité de Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, MATEIS, UMR-5510, 69621 Villeurbanne, France.ORCID 0000-0003-1952-2602

Funding

Agence de L'Environnement et de la Maitrise de L'Énergie 1204C0016
6 · The paper itself

Abstract

Composite aerogels can include fibers, opacifiers and binders but are rarely designed and optimized to achieve the best thermal/mechanical efficiency. This paper proposes a three-dimensional X-ray tomography-based method for designing composites. Two types of models are considered: classical and inexpensive homogenization models and more refined finite element models. XrFE is based on the material’s real three-dimensional microstructure and/or its twin numerical microstructure, and calculates the effective conductivity of the material. First, the three-dimensional sample is meshed and labeled. Then, a finite element method is used to calculate the heat flow in the samples. The entire three-dimensional microstructure of a real or fictitious sample is thus associated with a heat flow and an effective conductivity. Parametric studies were performed to understand the relationship between microstructure and thermal efficiency. They highlighted how quickly a low volume fraction addition can improve or ruin thermal conductivity. A reduced set of three formulations was developed and fully characterized. The mechanical behavior was higher than 50 KPa, with thermal efficiencies ranging from 14 to 15 mW·m·K−1.

Indexed as

aerogelefficiencyfinite elementhomogenizationmeasurementsmechanicalsilicasimulationthermaltomography

Identifiers

PMID36354640
PMCPMC9689696

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.