Journal
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
Volume 147, Issue 5, Pages 3853-3867Publisher
SPRINGER
DOI: 10.1007/s10973-021-10816-0
Keywords
Nanofluid; Thermal radiation; Joule heating; Thermophoretic diffusion; Brownian motion; nth order reactive species
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The study investigated incompressible mixed convection flow with convective heat transport considering Joule heating and nth order reactive species. The flow model incorporated various factors including nanoparticles impact, heat source, viscous dissipation, thermophoresis, and chemical reaction. Numerical analysis was conducted using the Runge-Kutta Fehlberg method, revealing the impact of different parameters on velocity field, drag force, and Nusselt number.
The study incompressible mixed convection flow with convective heat transport under the impact of Joule heating and nth order reactive species has been taken into account over an elongated sheet. The current flow model is formulated with the employment of different water-based copper, silver, and gold nanoparticles impact, an uneven heat source (sink), viscous dissipation, thermophoresis, Brownian motion, and first-order chemical reaction. The subsequent arrangement of nonlinear partial differential equations is subsided into a dimensionless system of ordinary differential equations while making use of similarity abstraction. The modeled equations are tackled through the Runge-Kutta Fehlberg method (RKFM-45). An induction of control parameters is established diagrammatically as and portrayed in detail for wall local drag force, Nusselt number, and Sherwood number. The detailed geometry reveals that the dimensionless velocity field is monotonically rising as the stretching parameter and Eckert number rise. Influence of chemically reacting in addition to liquid fluctuation reduced the concentration entire liquid stretch. Further, heavier species are favorable to accelerate Sherwood's number. Finally, Cu and Ag nanoparticles achieve higher skin friction and Nusselt number. The results are verified for limiting cases and found to converge faster.
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