Abstract
Nanolubricants fall among the newly evolved and emerged technologies used in lubrication and heat transfer systems due to their unique thermo-physical properties. They are crucial to the industry because they enhance surface performance, reduce maintenance and fuel costs and boost engine efficiency. They are also used in mechanical systems to efficiently minimize friction and surplus heat. The present investigation focuses to analyze Darcy–Forchheimer flow of magnetized ZnO-SAE50 nanolubricant across Riga plate. Riga plate is poised of an electromagnetic equator that consists of an everlasting magnet and a span-wise collection of irregular electrodes mounted over a planner surface and is utilized in achieving proficient flow. The flow takes place in the presence of viscous dissipation, heat source–sink and chemical reaction of higher order. Newtonian heating and thermophoretic particle deposition effects are also investigated in this study. The role of viscosity is quite important and dynamical in various engineering and industrial fields. The viscosity variation highly fluctuates the thermal systems. The present work also highlights the role of variable viscosity, owing to its importance. A novel micro-nano-convection model called the Patel model is invoked in perspective of the enhancement in thermal conductivity of nanolubricant. The use of ZnO-SAE50 nanolubricant (a brand-new form of nanolubricant) over Riga plate, variable viscosity effects and the application of Patel model are novel features of this study. The application of selected transformations causes the modeled PDEs to change into ODEs. The modeled problem is executed numerically with MATLAB bvp-4c solver. The alterations in the concerned profiles corresponding to various emerging parameters of interest are presented graphically in order to develop better understanding and make analysis. The outcomes reveal that larger modified Hartmann number significantly favors the velocity of nanolubricant ZnO-SAE50, while solid volume fraction, magnetic parameter and variable viscosity parameter halt it. The heat source–sink parameter, Eckert number and solid volume fraction are found to be helpful agents in improving temperature of nanolubricant ZnO-SAE50. In comparison with Newtonian heating (NH), common wall temperature condition (CWT) yields better thermal enhancement. The enhancing chemical reaction order ameliorates the concentration profile but it gets minified for chemical reaction parameter and thermophoresis parameter. The increasing values of magnetic parameter, variable viscosity parameter and inertial parameter tend to enhance the skin friction, while the modified Hartman number reduces it. The enhancing values of Eckert number, magnetic parameter and heat source–sink parameter increase the value of Nusselt number.
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Abbreviations
- \(u, v\) :
-
Velocity components in various directions \(({\mathrm{ms}}^{-1})\)
- \({\mu }_{\text{SAE50}}\) :
-
Dynamic viscosity base fluid (SAE50) \(({\mathrm{kgm}}^{-1}{\mathrm{s}}^{-1})\)
- \({\mu }_{\text{ZnO-SAE50}}\) :
-
Effective dynamic viscosity of nanolubricant (ZnO-SAE50 \(({\mathrm{kgm}}^{-1}{\mathrm{s}}^{-1})\)
- \(\sigma \) :
-
Electrical conductivity \(({\mathrm{sm}}^{-1})\)
- \(T\) :
-
Fluid temperature \((\mathrm{k})\)
- \({\rho }_{\text{ZnO-SAE50}}\) :
-
Effective density of nanolubricant (ZnO-SAE50) \(({\mathrm{kgm}}^{-3})\)
- \({\rho }_{\text{SAE50}}\) :
-
Density of \(\mathrm{SAE}50\) \(({\mathrm{kgm}}^{-3})\)
- \({k}_{\text{SAE50}}\) :
-
Thermal conductivity \(\mathrm{SAE}50\) \(({\mathrm{Wm}}^{-1}{\mathrm{k}}^{-1})\)
- \({\rho }_{\text{ZnO}}\) :
-
Density of np \(\mathrm{ZnO}\) \(({\mathrm{kgm}}^{-3})\)
- \({U}_{\text w}\) :
-
External free stream velocity \(({\mathrm{ms}}^{-1})\)
- \(c\) :
-
Constant
- \({u}_{\text{ZnO}}\) :
-
Brownian motion velocity of ZnO nps (ms−1)
- \(Pe\) :
-
Peclet number
- \({d}_{\text{SAE50}}\) :
-
Molecule size of \(\mathrm{SAE}50\) \((\mathrm{nm})\)
- \({d}_{\text{ZnO}}\) :
-
Diameter of \(\mathrm{ZnO}\) particle \((\mathrm{nm})\)
- \({\alpha }_{\text{SAE50}}\) :
-
Thermal diffusivity of \(\mathrm{SAE}50\) \(({\mathrm{m}}^{2}{\mathrm{s}}^{-1})\)
- \(\in \) :
-
Variable viscosity parameter
- \(\beta \) :
-
Width parameter
- \(\tau \) :
-
Thermophoretic parameter
- \(n\) :
-
Chemical reaction’s order
- \(Rc\) :
-
Chemical reaction parameter
- \(\lambda \) :
-
Porosity parameter
- \(Q\) :
-
Modified Hartman number
- \(M\) :
-
Magnetic parameter
- \(Fr\) :
-
Inertial parameter
- \(S\) :
-
Heat source parameter
- \(Sc\) :
-
Schmidt number
- \(Pr\) :
-
Prandtl number
- \(Rd\) :
-
Radiation parameter
- \(Ec\) :
-
Eckert number
- \(\eta \) :
-
Dimensionless variable
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Acknowledgements
This research work was funded by Institutional Fund Projects under grant no. (IFPIP:1264-130-1443). The authors gratefully acknowledge technical and financialsupport provided by the Ministry of Education and King Abdulaziz University, DSR, Jeddah, Saudi Arabia.
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Riaz, M., Khan, N., Hashmi, M.S. et al. Darcy Forchheimer flow of chemically reactive magnetized ZnO-SAE50 nanolubricant over Riga plate with thermophoretic particle deposition: a numerical approach. J Therm Anal Calorim 148, 12285–12300 (2023). https://doi.org/10.1007/s10973-023-12468-8
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DOI: https://doi.org/10.1007/s10973-023-12468-8