ItemArticle

Flow and heat transfer of penta-hybrid nanofluid at stagnation point over a stretching/shrinking sheet

Title
Flow and heat transfer of penta-hybrid nanofluid at stagnation point over a stretching/shrinking sheet
Creator
Manjunatha, S.; Manaswini, R.; Ioan, Pop Mihai; Tanuja, T.N.
Description
This research investigates the influence of penta-hybrid nanofluid on the flow and heat-mass transfer at a stagnation point over a stretching/shrinking sheet. The Penta hybrid nanofluid has been effectively synthesized by assimilation of Silver Ag, Gold Au, Magnesium oxide Mgo, Copper Cu, Titanium oxide TiO2 as a nanoparticle with a convectional fluid water H2O. Additionally, microorganisms are added to the fluid to improve the stability of nanoparticles by preventing aggregation, ensuring uniform dispersion. The governing nonlinear system of partial differential equations describing the problem are developed and converted into dimensionless form using proper similarity transformation. The obtained resultant equations are solved numerically by employing the Runge-Kutta-Fehlberg (RKF45) method. The results are confirmed by cross-referencing them with findings from established literature to assure consistency and precision. Further, the effect of dimensionless parameter on velocity, temperature, and concentration profiles are interpreted through the help of graphs. This research explores how stretching and shrinking conditions affect temperature distribution. It is found that the stretching surface shows enhanced thermal and mass transfer efficiency, due to a better distribution of nanoparticles and a reduction in boundary layer thickness. Also, it is seen that Penta-hybrid nanofluid increased the heat transfer rate by 5.71% as compared to tetra-hybrid nanofluids. Hence, these results support the penta-hybrid nanofluids for practical applications in fields such as photocatalysis, biomedical, and other energy storage systems. Further, the efficiency of Artificial Neural Network (ANN) model used to forecast flow behavior and heat transfer rate is assessed and supported by the regression coefficient R=1. 2025 Elsevier Ltd
Source
Thermal Science and Engineering Progress;Volume;64;Issue;;Article No.;103797;
Date
01-01-2025
Publisher
Elsevier Ltd
Subject
Artificial neural network; Microorganisms; Penta hybrid nanofluid; Stagnation point; Stretching/shrinking sheet
Coverage
Manjunatha S., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560076, India; Manaswini R., Research Scholar, Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560076, India; Ioan P.M., Faculty of Mathematics and Computer Science, Babe?-Bolyai University, Cluj-Napoca, 400048, Romania; Tanuja T.N., Department of Mathematics, School of Applied Sciences, Reva University, Karnataka, Bengaluru, 560064, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 24519049;
Format
online
Language
English
Type
Article

Citation

Manjunatha, S.; Manaswini, R.; Ioan, Pop Mihai; Tanuja, T.N., “Flow and heat transfer of penta-hybrid nanofluid at stagnation point over a stretching/shrinking sheet,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/22472.

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