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.

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Description

Magnetic Field Effect on Nanofluid Heat Transfer (MHD), ANSYS Fluent CFD Simulation Training (3-D)

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 single-phase flow, however, the thermophysical properties of nanofluid are calculated using the below formulas. The surface average of the nanofluid’s temperature is equal to 293.2 and 304.175K at the inlet and outlet, respectively.

magnetic

where magnetic are density, viscosity, specific heat, and thermal conductivity coefficient of nano-fluid and volume fraction of nano-particles 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.

magnetic magnetic

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 configuration

Models

Energy On
Viscous K-epsilon (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)
Fluid-solid interface (coupled wall)
External field B0 B0 input option (patch)
B0 component Bx amplitude (1T)
By amplitude (0T)
By amplitude (1T)

Solver configuration

Materials

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 1.257e-6
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 1.257e-6

Solver configuration

Cell 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.       UDF MHD energy source

2.       1000000 w/m3

B_x (1)
B_y (1)
B_z (1)

Solver configuration

Boundary 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
Pressure-velocity coupling Scheme SIMPLE
Spatial discretization Gradient Least square cell-based
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 nano-fluid, the temperature at the outlet decreases to 303.74K. Heat flux to nanofluid is equal to 112102.2 w/m2.

magnetic magnetic

Comparison between outlet temperature of nano-fluid 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 nano-fluid by 200w/m2.

magnetic

Reviews

  1. 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.

  2. 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.

  3. 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.

  4. 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.

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