Evidence map›Paper›PMID 35407356›Full record

ArticleNanomaterials (Basel, Switzerland)2022

Rheological Modeling of Metallic Oxide Nanoparticles Containing Non-Newtonian Nanofluids and Potential Investigation of Heat and Mass Flow Characteristics.

Muhammad Rizwan, Mohsan Hassan, Oluwole Daniel Makinde, Muhammad Mubashir Bhatti, Marin Marin

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. The Role of Nanofluids in Renewable Energy Engineering.Nanomaterials (Basel, Switzerland) · 2023
    Article
  4. Article
  5. Examining rheological behavior of CeOScientific reports · 2022
    Article
  6. 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.

Muhammad RizwanDepartment of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore 54000, Pakistan.ORCID 0000-0002-8648-1727
Mohsan HassanDepartment of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore 54000, Pakistan.
Oluwole Daniel MakindeFaculty of Military Science, Stellenbosch University, Private Bag X2, Saldanha 7395, South Africa.ORCID 0000-0002-3991-4948
Muhammad Mubashir BhattiCollege of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao 266590, China.ORCID 0000-0002-3219-7579
Marin MarinDepartment of Mathematics and Computer Science, Transilvania University of Brasov, 500036 Brasov, Romania.ORCID 0000-0003-1552-3763

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanofluids have great potential due to their improved properties that make them useful for addressing various industrial and engineering problems. In order to use nanofluids on an industrial scale, it is first important to discuss their rheological behavior in relation to heat transfer aspects. In the current study, the flow characteristics of nanofluids are discussed using a mathematical model that is developed by fundamental laws and experimental data. The data are collected in the form of viscosity versus shear rate for different homogeneous ethylene glycol- (EG) based nanofluids, which are synthesized by dispersing 5-20% nanoparticle concentrations of SiO

Indexed as

heat-flow characteristicsmathematical modeling based on experimental datanon-Newtonian nanofluidspower-law fluid model

Identifiers

PMID35407356
PMCPMC9002869

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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.