Abstract
Hybrid nanofluids are advanced heat transfer fluids that combine the benefits of traditional nanofluids with additional features to enhance their performance. These fluids have the potential to reduce energy consumption, improve heat transfer proficiency, and enhance the performance of thermal systems in diverse applications. Current work analyzes bioconvective Darcy–Forchheimer hybrid nanofluid flow by porous curved stretched surface. The thermal field is modeled accounting the effects of dissipation and thermal radiation. Chemical reaction and Arrhenius kinetics are accounted in the mass concentration field. Influence of the magnetic field is considered. Bioconvection phenomenon is taken into account to control the random motion of solid tiny particles of copper (Cu) and aluminum oxide (Al2O3) in hybrid base fluid water (H2O)–Ethylene glycol (C2H6O2). Cylindrical nanoparticles with shape factor \(\left( {m = 4.9} \right)\) are considered. Boundary layer norms are utilized to acquire the flow governing dimensional equations. Appropriate transformations are utilized to alter the dimensional system into non-dimensional one. Runge–Kutta–Fehlberg (RKF-45) method in Mathematica is implemented to explore the effective consequences of involved variables on hybrid nanofluid velocity, motile density, thermal, and concentration fields. Surface drag force, mass, density, and heat transfer rates are tabulated and analyzed. The acquired results depict that the velocity field of hybrid fluid decays through porosity variable and Hartmann number. Motile density of microorganisms diminished versus bioconvection Lewis and Peclet numbers. Intensity of heat transfer boosts via Eckert number and thermal radiation parameter.
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Abbreviations
- \(u,\;v\) :
-
Velocity components \(\left( {{\text{m}}\;{\text{s}}^{ - 1} } \right)\)
- \(F_{{\text{e}}} \left( { = \frac{{C_{{\text{b}}} }}{{sk_{{\text{p}}} }}} \right)\) :
-
Inertial coefficient \(\left( {{\text{kg}}\;{\text{m}}^{2} } \right)\)
- \(P\) :
-
Pressure \(\left( {{\text{N}}\;{\text{m}}^{ - 2} } \right)\)
- \(B_{0}^{2}\) :
-
Magnitude of magnetic field \(\left( {{\text{kg}}\;{\text{s}}^{ - 2} \;{\text{A}}^{ - 1} } \right)\)
- \(r,\;s\) :
-
Cartesian coordinates \(\left( {\text{m}} \right)\)
- \(k^{*}\) :
-
Mean absorption coefficient \(\left( {{\text{m}}^{ - 1} } \right)\)
- \(K_{{\text{p}}}\) :
-
Permeability of porous medium \(\left( {{\text{m}}^{2} } \right)\)
- \({\text{Rd}}\) :
-
Thermal radiation parameter
- \(\sigma\) :
-
Electrical conductivity \(\left( {{\text{kg}}^{ - 1} \;{\text{m}}^{ - 3} \;{\text{s}}^{3} \;{\text{A}}^{2} } \right)\)
- \(\nu\) :
-
Kinematic viscosity of fluid \(\left( {{\text{m}}^{2} \;{\text{s}}^{ - 1} } \right)\)
- \(\sigma^{*}\) :
-
Stefan Boltzmann constant \(\left( {{\text{J}}\;{\text{s}}^{ - 1} \;{\text{m}}^{ - 2} \;{\text{K}}^{ - 4} } \right)\)
- \(n_{1}\) :
-
Fitted rate constant
- \(N_{\infty } ,\;N_{{\text{w}}}\) :
-
Ambient and surface concentration of microorganisms
- \(\rho\) :
-
Density of base fluid \(\left( {{\text{kg}}\;{\text{m}}^{ - 3} } \right)\)
- \(D_{{\text{B}}}\) :
-
Diffusion coefficient \(\left( {{\text{m}}^{2} \;{\text{s}}^{ - 1} } \right)\)
- \(K\) :
-
Thermal conductivity \(\left( {{\text{W}}\;{\text{m}}^{ - 1} \;{\text{K}}^{ - 1} } \right)\)
- \(b\) :
-
Chemotaxis constant \(\left( m \right)\)
- \({\text{Ec}}\) :
-
Eckert number
- \(\Pr\) :
-
Prandtl number
- \(T_{\infty } ,\;T_{{\text{w}}}\) :
-
Ambient and surface fluid temperatures \(\left( {\text{K}} \right)\)
- \(C_{{\text{w}}} ,\;C_{\infty }\) :
-
Surface and ambient concentration of nanoparticles
- \(c_{{\text{p}}}\) :
-
Specific heat \(\left( {{\text{J}}\;{\text{kg}}^{ - 1} \;{\text{K}}^{ - 1} } \right)\)
- \(\mu\) :
-
Dynamic viscosity \(\left( {{\text{kg}}\;{\text{m}}^{ - 1} \;{\text{s}}^{ - 1} } \right)\)
- \(R\) :
-
Radius of curved surface \(\left( {\text{m}} \right)\)
- \(C,\;N\) :
-
Nanofluid temperature, concentration and microorganisms concentration
- \(W_{{\text{c}}}\) :
-
Cell swimming speed \(\left( {{\text{m}}\;{\text{s}}^{ - 1} } \right)\)
- \({\text{Kr}}^{2}\) :
-
Rate of reaction \(\left( {{\text{s}}^{ - 1} } \right)\)
- \(E_{{\text{a}}}\) :
-
Activation energy \(\left( {{\text{kg}}\;{\text{m}}^{2} \;{\text{s}}^{ - 2} } \right)\)
- \(\eta\) :
-
Dimensionless variable \(\left( - \right)\)
- \(D_{{\text{m}}}\) :
-
Microorganisms diffusivity \(\left( {{\text{m}}^{2} \;{\text{s}}^{ - 1} } \right)\)
- \(\kappa\) :
-
Boltzmann constant \(\left( {{\text{J}}\;{\text{s}}^{ - 1} \;{\text{m}}^{ - 2} \;{\text{K}}^{ - 4} } \right)\)
- \(\phi\) :
-
Volume fraction of nanoparticles
- \(j_{{\text{w}}}\) :
-
Mass flux \(\left( {{\text{kg}}\;{\text{m}}^{ - 2} \;{\text{s}}^{ - 1} } \right)\)
- \(\theta ,\;\phi ,\;\xi\) :
-
Dimensionless temperature, concentration and motile density
- \(f^{\prime}\) :
-
Fluid velocity
- \(\alpha\) :
-
Curvature variable
- \(k_{1}\) :
-
Porosity parameter
- \({\text{Sc}}\) :
-
Schmidt number
- \(E_{1}\) :
-
Activation energy parameter
- \(h_{{\text{w}}}\) :
-
Density flux \(\left( {{\text{W}}\;{\text{m}}^{ - 2} \;{\text{K}}^{ - 1} } \right)\)
- \(u_{{\text{w}}} (s)\) :
-
Sheet stretching rate \(\left( {{\text{m}}\;{\text{s}}^{ - 1} } \right)\)
- \(\gamma\) :
-
Chemical reaction variable
- \(\delta_{1}\) :
-
Temperature difference ratio parameter
- \({\text{Lb}},\;{\text{Pe}}\) :
-
Bioconvection Lewis and Peclet numbers
- \({\text{Fr}}\) :
-
Darcy Forchheimer variable
- \(q_{{\text{w}}}\) :
-
Surface heat flux \(\left( {{\text{J}}\;{\text{s}}^{ - 2} } \right)\)
- \(\tau_{{\text{w}}}\) :
-
Surface shear stress \(\left( {{\text{W}}\;{\text{m}}^{ - 2} } \right)\)
- \({\text{Ha}}\) :
-
Hartmann number
- \(T\) :
-
Nanofluid temperature \(\left( K \right)\)
- \({\text{hnf}}\) :
-
Hybrid nanofluid
- \({\text{bf}}\) :
-
Base fluid
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**ao, N., Haq, F., Shokri, A. et al. Thermal analysis of chemically reactive and radiative hybrid nanofluid flow by a curved stretchable surface with bioconvection. J Therm Anal Calorim (2024). https://doi.org/10.1007/s10973-024-13366-3
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DOI: https://doi.org/10.1007/s10973-024-13366-3