2022
DOI: 10.1016/j.csite.2022.101812
|View full text |Cite
|
Sign up to set email alerts
|

Heat transfer analysis and entropy generation in the nanofluids composed by Aluminum and γ Aluminum oxides nanoparticles

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 14 publications
(4 citation statements)
references
References 29 publications
0
4
0
Order By: Relevance
“…A numerical scheme is used to solve nonlinear dimensionless differential systems (finite difference method). We apply forward difference approximation to create the explicit numerical approach for U τ, U η derivative and central difference approximation for U η η derivative and similarly for θ and ϕ are expressed as follows 1335 : By inserting equation (16) into equations (9) to (13), we get with …”
Section: Solution Methodologymentioning
confidence: 99%
See 1 more Smart Citation
“…A numerical scheme is used to solve nonlinear dimensionless differential systems (finite difference method). We apply forward difference approximation to create the explicit numerical approach for U τ, U η derivative and central difference approximation for U η η derivative and similarly for θ and ϕ are expressed as follows 1335 : By inserting equation (16) into equations (9) to (13), we get with …”
Section: Solution Methodologymentioning
confidence: 99%
“…It is defined as follows 3133 : or In above expression R denotes the gas constant, S G false( = E G T normal∞ L 2 / [ k ( T w T ) ] false) the entropy rate, L false( = [ R D B ( C w C normal∞ ) ] / k false) the diffusion parameter, α 1 false( = ( T w T ) / T normal∞ false) the temperature difference parameter, and α 2 false( = ( C w C ) / C normal∞ false) the concentration difference variable.…”
Section: Entropy Modelingmentioning
confidence: 99%
“…Nanofluid benefits numerous industries, including the automotive, electronics, solar energy, biomedicine, and oil recovery sectors [ [2] , [3] , [4] , [5] , [6] ]. Recent discoveries on nanofluid research advancements using different nanoparticles [ 7 , 8 ], including thermal radiation [ 9 , 10 ], viscous dissipation impacts [ 11 , 12 ], non-Newtonian fluid [ [13] , [14] , [15] ] as well as in converging and diverging channel [ 16 ] can be further explored.…”
Section: Introductionmentioning
confidence: 99%
“…Alzahrani et al 31 inspected entropy generation and Joule heating applications for Darcy-Forchheimer flow (DFF) of Ree-Eyring nanofluid due to double rotating disks with artificial neural network. Rehman et al 32 premeditated heat transfer analysis and entropy generation in the nanofluids composed by Aluminum and γ− Aluminum oxides nanoparticles. Shoaib et al 33 examined the design of intelligent networks for entropy generation in Ree-Eyring dissipative fluid flow system along quartic autocatalysis chemical reactions.…”
Section: Introductionmentioning
confidence: 99%