A well-trained artificial neural network for predicting the rheological behavior of MWCNT–Al2O3 (30–...
A well-trained artificial neural network for predicting the rheological behavior of MWCNT–Al2O3 (30–70%)/oil SAE40 hybrid nanofluid
About this item
Full title
Author / Creator
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
In this study, the influence of different volume fractions (
ϕ
) of nanoparticles and temperatures on the dynamic viscosity (
μ
nf
) of MWCNT–Al
2
O
3
(30–70%)/oil SAE40 hybrid nanofluid was examined by ANN. For this reason, the
μ
nf
was derived for 203 various experiments through a series of experimental tests,...
Alternative Titles
Full title
A well-trained artificial neural network for predicting the rheological behavior of MWCNT–Al2O3 (30–70%)/oil SAE40 hybrid nanofluid
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_6087d6258bcf4ba4983592ec947f8106
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6087d6258bcf4ba4983592ec947f8106
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-021-96808-4
