Abstract
The main goal of the current article analyzed the influence of MHD flow of micropolar fluid via exponentially curved stretching surface. Heat transfer analysis is discussed with the impact of thermal radiation and Joule heating. For mathematical model curvilinear (u, v, r and s) is taken for governing flow problem. Viscous dissipation is also considered. Exponential similarity variables are used to transform partial differential equations to ordinary differential system. (ODEs). Numerical techniques have been used to solve the nonlinear ODEs. Effect of various physical variables like material parameter \((K_{1} = 0.1, 0.2, 0.3, 0.4, 0.5)\), radius of curvature (\(\delta = 1,2,3,4,5\)), magnetic parameter (\(M = 0,0.1, 0.2, 0.3, 0.4\)), radiative parameter (\(R_{d} = 1.0,2.0,3.0,4.0,5.0\)), heat generation parameter (Q = 0, 0.1, 0.2, 0.3, 0.4), surface friction, couple stress and surface temperature on the flow of velocity, temperature field and microrotation velocity has been examined through graphs. A good agreement of the present work has been noticed with a previous published result.
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Abbreviations
- (u, v):
-
Velocity vector
- (r, s):
-
Curvilinear coordinates
- \(p,R\) :
-
Pressure, radius of sheet
- \(T, T_{w} , T_{\infty }\) :
-
Temperature of fluid, sheet temperature and ambient temperature
- \(B_{0}\) :
-
Magnetic strength field
- \(\mu ,\nu\) :
-
Dynamic viscosity, kinematic viscosity
- \(P,R_{{{d}}}\) :
-
Fluid pressure, radiation parameter
- \(N,j\) :
-
Microrotation viscosity, microinertial per unit mass
- \({\text{Ec}},k1^{*}\) :
-
Eckert number, mean absorption coefficient,
- \(\sigma^{*} ,c_{{\text{p}}}\) :
-
Stefan–Boltzmann constant, specific heat
- \(g,\beta_{t}\) :
-
Gravity, volume fraction
- \(\xi ,\lambda\) :
-
Independent variable, mixed convection parameter
- \(\delta ,K_{1}\) :
-
Curvature parameter, material parameter
- \(Q,\Pr\) :
-
Heat generation parameter, Prandtl number
- \(k^{*} ,\rho\) :
-
Vortex viscosity, density
- \(k_{0} ,Q_{1}\) :
-
Thermal conductivity, heat source coefficient
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Acknowledgements
The research was supported by the National Natural Science Foundation of China (Grant Nos. 11971142, 11871202, 61673169, 11701176, 11626101, 11601485).
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Appendices
Appendix A
\(A_{1} = \frac{2}{\xi + \delta }, \) \(A_{2} = - \frac{1}{{\left( {\xi + \delta } \right)^{2} }} - \frac{{M^{2} }}{{1 + K_{1} }},\) \(A_{3} = \frac{1}{{\left( {\xi + \delta } \right)^{3} }} - \frac{{M^{2} }}{{\left( {\xi + \delta } \right)\left( {1 + K_{1} } \right)}},\) \(A_{4} = \frac{\delta }{{\left( {\xi + \delta } \right)\left( {1 + K_{1} } \right)}},\) \(A_{5} = \frac{\delta }{{\left( {\xi + \delta } \right)^{2} \left( {1 + K_{1} } \right)}},\) \(A_{6} = - \frac{\delta }{{\left( {\xi + \delta } \right)^{3} \left( {1 + K_{1} } \right)}},\) \(A_{7} = - \frac{3\delta }{{\left( {\xi + \delta } \right)^{2} \left( {1 + K_{1} } \right)}},\) \(A_{8} = - \frac{3\delta }{{\left( {\xi + \delta } \right)\left( {1 + K_{1} } \right)}},\) \(A_{9} = - \frac{{K_{1} }}{{1 + K_{1} }},\) \(A_{10} = - \frac{{K_{1} }}{{\left( {\xi + \delta } \right)\left( {1 + K_{1} } \right)}},\) \(A_{11} = \lambda\) | \(B_{1} = \frac{1}{{\left( {\xi + \delta } \right)}},\) \(B_{2} = - \frac{{2K_{1} }}{{\left( {1 + \frac{{K_{1} }}{2}} \right)}},\) \(B_{3} = - \frac{{K_{1} }}{{\left( {1 + \frac{{K_{1} }}{2}} \right)}},\) \(B_{4} = - \frac{{K_{1} }}{{\left( {\xi + \delta } \right)\left( {1 + \frac{{K_{1} }}{2}} \right)}},\) \(B_{5} = \frac{\delta }{{\left( {\xi + \delta } \right)\left( {1 + \frac{{K_{1} }}{2}} \right)}},\) \(B_{6} = - \frac{3\delta }{{2\left( {\xi + \delta } \right)\left( {1 + \frac{{K_{1} }}{2}} \right)}},\) \(B_{7} = \frac{\delta \Pr }{{\xi + \delta }},\) \(B_{8} = - \frac{2\delta \Pr }{{\xi + \delta }},\) \(B_{9} = \Pr {\text{Ec}},\) \(B_{10} = - \frac{{2\Pr {\text{Ec}}}}{\xi + \delta },\) \(B_{11} = \Pr {\text{Ec}}M\left( {\xi + \delta } \right),\) \(B_{12} = \Pr Q,\) \(B_{13} = \frac{\Pr EC}{{\left( {\xi + \delta } \right)^{2} }}\) |
Appendix B
Linearize system subject to Newton’s quasi-linearization approach (NQLA)
with
where
where the coefficients are mathematically addressed as
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Qian, WM., Khan, M.I., Shah, F. et al. Mathematical Modeling and MHD Flow of Micropolar Fluid Toward an Exponential Curved Surface: Heat Analysis via Ohmic Heating and Heat Source/Sink. Arab J Sci Eng 47, 867–878 (2022). https://doi.org/10.1007/s13369-021-05673-w
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DOI: https://doi.org/10.1007/s13369-021-05673-w