Electric Field Effect on Nanofluid Heat Transfer (EHD)

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In this project, nanofluid flows in a bumpy channel in presence of an applied electrical potential.

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Electric Field Effect on Nanofluid Heat Transfer (EHD), ANSYS Fluent CFD Simulation Training

In this project, nanofluid flows in a bumpy channel in the presence of an applied electrical potential applying ANSYS Fluent software. Fluid flow is steady and is simulated as one single-phase flow, however, the thermophysical properties of nanofluid are modified. The electrical characteristics of nanofluid alter the fluid mechanics behavior of flow which results in heat transfer increase. The surface average of the nanofluid’s temperature is equal to 300 and 301.926K at the inlet and outlet respectively.

Electric Field

where Magnetic are density, viscosity, specific heat, and thermal conductivity coefficient of nano-fluid and volume fraction of nanoparticles in fluid.

Geometry and mesh

The geometry of the fluid domain is designed in the Design modeler and the computational grid is generated using Ansys Meshing. The mesh type is unstructured and the element number is 17640.

Electric Field

Electric FieldElectric Field

Electric Field 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.

Models (electric field)
Energy On
Viscous K-epsilon (realizable) Standard wall function
Fluid Definition method Fluent Database
Material name Water (modified)
Density 998.2 kg/m3
Specific heat (Cp) 4182 J/kg.K
Thermal conductivity 0.6 w/m.K
Viscosity 0.001003 kg/m.s
UDS diffusivity constant
Electrical conductivity 1000000 siemens/m
Magnetic permeability 1.257e-6
Cell zone conditions
Fluid Material name Water (modified)
Boundary conditions (electric field)
Inlet Type Velocity inlet
Velocity magnitude 1 m/s
Turbulence intensity 5%
Turbulent viscosity ratio 10
Temperature 300 K
Outer Wall solid Temperature 340 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
Initialization (electric field) Method Hybrid

Results and discussion

The nanofluid flow average temperature at the inlet and outlet locations is 300 and 301.96K, respectively. In case of no electrical potential affecting the nanofluid, the temperature at the outlet decreases to 301.92K. Heat flux to nanofluid is equal to 72474.1 [W].

Pressure On CenterlineTemperature On CenterlineTke On CenterlineVelocity On Centerline

comparison between the outlet temperature of nano-fluid in the presence and absence of an electric field, reveals the effectiveness of electric field application in the present work. Electric field application increases outlet temperature by .04K and heat transfer to nano-fluid by 54W/m2.


  1. Avatar Of Nasir Johnston

    Nasir Johnston

    I see that this simulation uses the lattice Boltzmann method (LBM). Can you explain why this method was chosen over others like the finite volume method (FVM)?

    • Avatar Of Mr Cfd Support

      MR CFD Support

      The LBM was chosen for this simulation because it is particularly well-suited for simulating complex physical phenomena such as the electric field effect on nanofluid heat transfer. It’s a mesoscopic method that bridges the gap between the macroscopic and microscopic scales, making it ideal for this type of simulation.

  2. Avatar Of Cheyenne Stroman

    Cheyenne Stroman

    How does the simulation model the interaction between the nanofluid and the electric field?

    • Avatar Of Mr Cfd Support

      MR CFD Support

      The simulation models the interaction between the nanofluid and the electric field by solving the Boltzmann equation with a force term. This force term represents the force exerted by the electric field on the charged nanoparticles in the nanofluid.

  3. Avatar Of Dr. Demetrius Ortiz Dvm

    Dr. Demetrius Ortiz DVM

    Can this simulation handle different types of nanofluids and electric fields?

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Yes, this simulation can handle different types of nanofluids and electric fields. We can modify the simulation to accommodate your specific requirements.

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