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Study of Triangular Fuzzy Hybrid Nanofluids on the Natural Convection Flow and Heat Transfer between Two Vertical Plates
- Source :
- Computational Intelligence and Neuroscience, Computational Intelligence and Neuroscience, Vol 2021 (2021)
- Publication Year :
- 2021
- Publisher :
- Hindawi Limited, 2021.
-
Abstract
- The prime objective of the current study is to examine the effects of third-grade hybrid nanofluid with natural convection utilizing the ferro-particle Fe 3 O 4 and titanium dioxide TiO 2 and sodium alginate (SA) as a host fluid, flowing through vertical parallel plates, under the fuzzy atmosphere. The dimensionless highly nonlinear coupled ordinary differential equations are computed adopting the bvp4c numerical approach. This is an extremely effective technique with a low computational cost. For validation, it is found that as the volume fraction of Fe 3 O 4 + TiO 2 hybrid nanoparticles rises, so does the heat transfer rate. The current and existing results with their comparisons are shown in the form of the tables. The present findings are in good agreement with their previous numerical and analytical results in a crisp atmosphere. The nanoparticles volume fraction of Fe 3 O 4 and TiO 2 is taken as uncertain parameters in terms of triangular fuzzy numbers (TFNs) [0, 0.05, 0.1]. The TFNs are controlled by α − cut and the variability of the uncertainty is studied through triangular membership function (MF).
- Subjects :
- Hot Temperature
Materials science
Natural convection
Article Subject
General Computer Science
General Mathematics
General Neuroscience
Computer applications to medicine. Medical informatics
R858-859.7
Neurosciences. Biological psychiatry. Neuropsychiatry
General Medicine
Mechanics
Convection
Nonlinear system
Nanofluid
Heat transfer
Volume fraction
Fuzzy number
Membership function
RC321-571
Research Article
Dimensionless quantity
Subjects
Details
- ISSN :
- 16875273 and 16875265
- Volume :
- 2021
- Database :
- OpenAIRE
- Journal :
- Computational Intelligence and Neuroscience
- Accession number :
- edsair.doi.dedup.....07677a911f8729672369ec53f8a638a5