Magnetic Field Effect on Nanofluid Heat Transfer (MHD)
$315.00 Student Discount
In this project, nanofluid flows in a solid aluminum channel in the presence of an applied magnetic field.
Description
Magnetic Field Effect on Nanofluid Heat Transfer (MHD), ANSYS Fluent CFD Simulation Training (3D)
In this project, nanofluid flows in a solid aluminum channel in the presence of an applied magnetic field are simulated by ANSYS Fluent software. Fluid flow is steady and is simulated as one singlephase flow, however, the thermophysical properties of nanofluid are calculated using the below formulas. The surface average of the nanofluidâ€™s temperature is equal to 293.2 and 304.175K at the inlet and outlet, respectively.
where are density, viscosity, specific heat, and thermal conductivity coefficient of nanofluid and volume fraction of nanoparticles in fluid.
Geometry and mesh
The geometry of the fluid domain is designed in Design Modeler and the computational grid is generated using Ansys Meshing. The mesh type is unstructured and the element number is 26000.
CFD Simulation
Critical assumptions:
 The solver type is assumed Pressure Based.
 Time formulation is assumed Steady.
 Gravity effects are neglected.
The following table is a summary of the defining steps of the problem and its solution.
Solver configurationModels 

Energy  On  
Viscous  Kepsilon (standard)  Standard wall function 
MHD model  MHD method  Magnetic induction 
Solution control  Solve MHD equation (on)  
Include Lorentz force (on)  
Include Joule heating (on)  
Under relaxation (0.9)  
Boundary condition  Solid outer wall (insulating wall)  
Fluidsolid interface (coupled wall)  
External field B0  B0 input option (patch)  
B0 component  Bx amplitude (1T)  
By amplitude (0T)  
By amplitude (1T)  
Solver configurationMaterials 

Fluid  Definition method  Fluent Database 
Material name  NanoFluid (based on water, with modification)  
Density  1312 kg/m3  
Specific heat (Cp)  3248 J/kg.K  
Thermal conductivity  1.09387 w/m.K  
Viscosity  0.0011 kg/m.s  
UDS diffusivity  constant  
Electrical conductivity  1000000 siemens/m  
Magnetic permeability  1.257e6  
Solid  Definition method  Fluent Database 
Material name  Al (based on Aluminum with modification)  
Density  2719 kg/m3  
Specific heat (Cp)  871 J/kg.K  
Thermal conductivity  202.4 w/m.K  
UDS diffusivity  constant  
Electrical conductivity  3.541e7 siemens/m  
Magnetic permeability  1.257e6  
Solver configurationCell zone conditions 

Fluid  Material name  NanoFluid 
Source terms  Mass (0)  
X momentum (1)  
Y momentum (1)  
Z momentum (1)  
Turbulent kinetic energy (0)  
Turbulent dissipation rate (0)  
Energy (1)  
B_x (1)  
B_y (1)  
B_z (1)  
Solid  Material name  Aluminum 
Source terms  Energy (2)
1.Â Â Â Â Â Â UDF MHD energy source 2.Â Â Â Â Â Â 1000000 w/m3 

B_x (1)  
B_y (1)  
B_z (1)  
Solver configurationBoundary conditions 

Inlet  Type  Velocity inlet 
Velocity magnitude  1 m/s  
Turbulence intensity  5%  
Turbulent viscosity ratio  10  
Temperature  293.2 K  
Outer Wall solid  Temperature  320 K 
Solver configurations  
Pressurevelocity coupling  Scheme  SIMPLE 
Spatial discretization  Gradient  Least square cellbased 
Pressure  Second order  
Momentum  Second order Upwind  
Turbulent kinetic energy  First order upwind  
Turbulent dissipation rate  First order upwind  
Energy  Second order Upwind  
B_x  First order upwind  
B_y  First order upwind  
B_z  First order upwind  
Initialization  X velocity  1 m/s 
Temperature  293.2 K 
Magnetic Field Effect on Nanofluid Heat Transfer Results and discussion
The nanofluid flow average temperature at the inlet and out location is 293.2 and 304.175K respectively. In case of no magnetic field affecting the nanofluid, the temperature at the outlet decreases to 303.74K. Heat flux to nanofluid is equal to 112102.2 w/m2.
Comparison between outlet temperature of nanofluid in the presence and absence of magnetic field, reveals the effectiveness of magnetic field application in the present work. Magnetic field application increases outlet temperature by 1K and heat transfer to nanofluid by 200w/m2.
Demond Langosh –
Can this simulation be used to estimate the energy consumption of the heat exchanger?
MR CFD Support –
While the current simulation does not directly estimate the energy consumption, it can provide valuable insights into the pressure drop across the heat exchanger, which can be used to estimate the energy consumption.
Sylvia Waelchi –
Can this simulation be extended to model transient heat transfer scenarios?
MR CFD Support –
Yes, this simulation can be extended to model transient heat transfer scenarios. We are open to contributions and can accommodate your desired simulations.
Ward Luettgen –
How does the simulation model the pressure drop across the heat exchanger?
MR CFD Support –
The simulation models the pressure drop across the heat exchanger using the momentum equations, which capture the resistance to the flow caused by the heat exchanger.
Miss Charlotte DuBuque V –
Can this simulation be used to predict the performance of the heat exchanger at different operating conditions?
MR CFD Support –
Yes, the simulation can be used to predict the performance of the heat exchanger at different operating conditions. This is an important capability for the design and analysis of heat exchangers.