Evidence map›Paper›PMID 34441119›Full record

ArticleEntropy (Basel, Switzerland)2021

Viscosity and Rheological Properties of Graphene Nanopowders Nanofluids.

Abderrahim Bakak, Mohamed Lotfi, Rodolphe Heyd, Amine Ammar, Abdelaziz Koumina

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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.

Abderrahim BakakLaboratoire Interdisciplinaire de Recherche en Bioressources, Énergie et Matériaux (LIRBEM), ENS, Cadi Ayyad University, Marrakech 40000, Morocco.ORCID 0000-0003-1745-5995
Mohamed LotfiMaterials, Energy & Environment Laboratory (LaMEE), FSSM, Cadi Ayyad University, Marrakech 40000, Morocco.ORCID 0000-0001-7088-6001
Rodolphe HeydLaboratoire Angevin de Mécanique, Procédés et innovAtion (LAMPA), Arts et Métiers ParisTech, Boulevard du Ronceray 2, BP 93525, CEDEX 01, F-49035 Angers, France.ORCID 0000-0003-2783-135X
Amine AmmarLaboratoire Angevin de Mécanique, Procédés et innovAtion (LAMPA), Arts et Métiers ParisTech, Boulevard du Ronceray 2, BP 93525, CEDEX 01, F-49035 Angers, France.
Abdelaziz KouminaLaboratoire Interdisciplinaire de Recherche en Bioressources, Énergie et Matériaux (LIRBEM), ENS, Cadi Ayyad University, Marrakech 40000, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dynamic viscosity and rheological properties of two different non-aqueous graphene nano-plates-based nanofluids are experimentally investigated in this paper, focusing on the effects of solid volume fraction and shear rate. For each nanofluid, four solid volume fractions have been considered ranging from 0.1% to 1%. The rheological characterization of the suspensions was performed at 20 ∘C, with shear rates ranging from 10-1s-1 to 103s-1, using a cone-plate rheometer. The Carreau-Yasuda model has been successfully applied to fit most of the rheological measurements. Although it is very common to observe an increase of the viscosity with the solid volume fraction, we still found here that the addition of nanoparticles produces lubrication effects in some cases. Such a result could be very helpful in the domain of heat extraction applications. The dependence of dynamic viscosity with graphene volume fraction was analyzed using the model of Vallejo et al.

Indexed as

Carreau nanofluidgraphene nano-powderlubrication effectrheological behaviorthermal nanofluidVallejo law

Identifiers

PMID34441119
PMCPMC8391775

What OpenQuestion holds

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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.