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Open AccessArticle

Effect of Nanoparticle Diameter in Maxwell Nanofluid Flow with Thermophoretic Particle Deposition

by Pudhari Srilatha, Hanaa Abu-Zinadah, Ravikumar Shashikala Varun Kumar, M. D. Alsulami, Rangaswamy Naveen Kumar, Amal Abdulrahman and Ramanahalli Jayadevamurthy Punith Gowda

Mathematics 2023, 11(16), 3501; https://doi.org/10.3390/math11163501 - 13 Aug 2023

Cited by 32 | Viewed by 2062

Abstract

The time-dependent Maxwell nanofluid flow with thermophoretic particle deposition is examined in this study by considering the solid–liquid interfacial layer and nanoparticle diameter. The governing partial differential equations are reduced to ordinary differential equations using suitable similarity transformations. Later, these reduced equations are solved using Runge–Kutta–Fehlberg’s fourth and fifth-order method via a shooting approach. An artificial neural network serves as a surrogate model, making quick and precise predictions about the behaviour of nanofluid flow for various input parameters. The impact of dimensionless parameters on flow, heat, and mass transport is determined via graphs. The results reveal that the velocity profile drops with an upsurge in unsteadiness parameter values and Deborah number values. The rise in space and temperature-dependent heat source/sink parameters value increases the temperature. The concentration profile decreases as the thermophoretic parameter upsurges. Finally, the method’s correctness and stability are confirmed by the fact that the maximum number of values is near the zero-line error. The zero error is attained near the values

2.68 \times 10^{- 6}

2.14 \times 10^{- 9}

, and

8.5 \times 10^{- 7}

for the velocity, thermal, and concentration profiles, respectively. Full article

(This article belongs to the Special Issue Computational Mechanics and Dynamics: Latest Advances and Prospects)

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18 pages, 10171 KiB

Open AccessFeature PaperArticle

Impact of Binary Chemical Reaction and Activation Energy on Heat and Mass Transfer of Marangoni Driven Boundary Layer Flow of a Non-Newtonian Nanofluid

by Ramanahalli Jayadevamurthy Punith Gowda, Rangaswamy Naveen Kumar, Anigere Marikempaiah Jyothi, Ballajja Chandrappa Prasannakumara and Ioannis E. Sarris

Processes 2021, 9(4), 702; https://doi.org/10.3390/pr9040702 - 16 Apr 2021

Cited by 214 | Viewed by 6660

Abstract

The flow and heat transfer of non-Newtonian nanofluids has an extensive range of applications in oceanography, the cooling of metallic plates, melt-spinning, the movement of biological fluids, heat exchangers technology, coating and suspensions. In view of these applications, we studied the steady Marangoni driven boundary layer flow, heat and mass transfer characteristics of a nanofluid. A non-Newtonian second-grade liquid model is used to deliberate the effect of activation energy on the chemically reactive non-Newtonian nanofluid. By applying suitable similarity transformations, the system of governing equations is transformed into a set of ordinary differential equations. These reduced equations are tackled numerically using the Runge–Kutta–Fehlberg fourth-fifth order (RKF-45) method. The velocity, concentration, thermal fields and rate of heat transfer are explored for the embedded non-dimensional parameters graphically. Our results revealed that the escalating values of the Marangoni number improve the velocity gradient and reduce the heat transfer. As the values of the porosity parameter increase, the velocity gradient is reduced and the heat transfer is improved. Finally, the Nusselt number is found to decline as the porosity parameter increases. Full article

(This article belongs to the Special Issue Microfluidics in Chemical Engineering)

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