Boiling Phenomenon and Bubble Formation CFD Tutorial

Price: $200

In this project, Boiling Phenomenon to investigate three-volume fraction discretization methods has been simulated and the results of this simulation have been investigated.

Audio: English
Subtitles: English, Spanish, Arabic, Turkish, French, Portuguese
Advanced
1 Lesson
43m 22s
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    Boiling Phenomenon and Bubble Formation CFD Tutorial

    Price: $200

    In this project, Boiling Phenomenon to investigate three-volume fraction discretization methods has been simulated and the results of this simulation have been investigated.

    Audio: English
    Subtitles: English, Spanish, Arabic, Turkish, French, Portuguese
    Advanced
    1 Lesson
    43m 22s

    Boiling Phenomenon and Bubble Formation, Ansys Fluent CFD Simulation Training

    Boiling is the fast evaporation of a liquid when heated to its boiling point. The temperature at which the liquid's vapor pressure equals the pressure exerted on the liquid by the surrounding environment. Boiling may be classified into two types: nucleate boiling, in which tiny bubbles of vapor develop at distinct places, and critical heat flux boiling, in which the boiling surface is heated above a specific critical temperature and a film of vapor forms on the surface. Transition boiling is an unstable intermediate form of boiling that has components of both forms. The boiling point of water is 100 °C or 212 °F; however, it is lower at higher altitudes due to reduced air pressure. Boiling Phenomenon and Bubble Formation CFD simulation by ANSYS Fluent is carried out in this product.

    Boiling

    Project Description

    In this simulation, the difference between HRIC-compressive-Geo-reconstruct models and their effect on the output results were discussed by changing the volume fraction discretization. The computational domain is a 15 x 15 cm cube with a 2 x 2 cm heated surface. The change in volume fraction discretization showed no significant change in surface temperature and heat transfer coefficient. Only the Geo-Reconstruct model visually models a more realistic simulation with a higher computational cost.

    Geometry & Mesh

    The computational domain was designed using Design Modeler software. The computational domain includes a 15 x 15 cube with a 2 x 2 cm heating surface.

    Boiling

    Ansys Meshing software was used for grid generation, and the type of problem elements was structured. Also, the total number of elements was about 570000.

    CFD Simulation Solver Setting

    In this simulation, the following hypotheses are established:

    • A pressure solver was used.
    • The problem was solved transient
    • An explicit VOF multiphase model was activated.
    • Gravitational and capillary effects were considered.

    Also, the table below shows the characteristics and values of boundary conditions, along with the models and hypotheses.

    Material Properties
    Water
    AmountFluid properties
    998.2Density (kg/m3)
    Water vapor
    AmountFluid properties
    0.5542Density (kg/m3)
    Multiphase
    Homogeneous modelVOF (volume of fluid)
    Number of Eulerian phases2 (water-water vapor)
    Interface modelingsharp
    FormulationExplicit
    Phase interaction
    Evaporation & CondensationLee model
    From phase Frequency (1/s)10
    Fluid typeSurface tension coefficient (N/m)
    Water-vapor0.06
    Boundary Condition
    TypeHeat flux (W/m^2)
    Hot wall10000
    Cell zone condition
    Fluidmixture
    Turbulence models
    K- viscous model
    RealizableK- model
    Standard wall functionWall function
    Solution methods
    Coupledpressure velocity coupling
    Modified body force weightedpressurespatial discretization
    First-order upwindmomentum
    First-order upwindturbulent kinetic energy
    First-order upwind     turbulent dissipation rate
    Volume fraction    Geo-reconstruct

    Compressive

    Modified HRIC

    Initialization (Standard)
    0 (Pa) gauge pressure
    373.15 KTemperature
    1Water volume fraction

    Boiling Phenomenon and Bubble Formation Results

    The table below clarifies that the average surface temperature at the input of the problem and the heat transfer coefficient in these three discretization models do not change much. In the simulation with high computational cost, it is suggested that the discretization methods of compressive and modified HRIC Be have a lower computational cost. But for near-reality simulation, it is better to use the Geo-reconstruct model, which has a higher computational cost.

    Discretization methodSurface temperature (K)Heat transfer coefficient (W/m^2.K)
    compressive  385.835  102.398
    Modified HRIC  385.688  102.547
    Geo-reconstruct387.96463101.76327

    The grid elements need to be finer near the hot surface to increase the simulation accuracy. The distance of the first cell is essential in boiling studies, but this is very effective in increasing the computational costs in 3D simulations.