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Conjugate Heat Transfer Simulation Aim:- Setup the CHT simulation flow through the pipe in converge CFD. Maintain the inlet Reynolds number as 7000 Turn on the Y+ value before exporting all the setup files. Run grid dependence test by showing outlet temperatures are converging to a particular value. Find out the effect…
Sachin Barse
updated on 15 Nov 2022
Aim:-
Objectives:-
CONJUGATE HEAT TRANSFER ANALYSIS
The Conjugate Heat Transfer (CHT) analysis type allows for the simulation of heat transfer between solid and fluid domains by exchanging thermal energy at the interface between them.
In solids, conduction often dominates whereas, in fluids, convection usually dominates.
Typical applications of this analysis type exist as, but are not limited to, the simulation of heat exchangers, cooling of electronic equipment, and general-purpose cooling and heating systems.
HEAT TRANSFER BY SOLID AND FLUIDS
Heat transfer in a Solid
In most cases, heat transfer in solids, if only due to conduction, is described by Fourier’s law defining the conductive heat flux, q, proportional to the temperature gradient:
q=−kΔTq=-kΔT
For time-dependent problem, the temperature field in an immobile solid verifies the following form of the heat equation:
ρCp∂T∂t=Δ.(k.ΔT)+QρCp∂T∂t=Δ.(k.ΔT)+Q
Heat Transfer in a Fluid
Due to the fluid motion, three contributions to the heat equation are included:
Geometry Creation:-
Geometry was created by creating two cylinders. One cylinder, the outer one, is the solid region, and another one, is the fluid region. Some Geometry cleanup operation was performed to avoid interaction between the inner cylinder and the outer cylinder.
Boundary Definition:-
Case Setup Parameters For CHT simulation:-
The following parameters were considered while doing the conjugated heat transfer simulation of flow through the pipe.
Simulation Setup/ Case setup:-
Application type:-
To begin with the transient state simulation in the 'Application Type" the "Time-based" must be selected and then, click apply and done.
Material Definition:-
For Solid, Aluminum material was selected from the converge library.
And, for Liquid, Air species - O2 and N2 was defined.
Run Parameters:-
In the run parameter, we get to decide that either, we want steady-state simulation or Transient state simulation, so for the current simulation, the transient solver type was selected.
And, finally, as we are using air as a fluid that is compressible in nature so gas flow solver is set as compressible.
Simulation time parameters:-
For the transient simulation, we have to set the run time of the simulation. So for the run time calculation, we require the flow length and velocity.
RunTime=FlowLenghtVelocityRunTime=FlowLenghtVelocity
From the pipe geometry, the maximum Flow length is 0.2m
RunTime=0.28RunTime=0.28
RunTime=0.025secRunTime=0.025sec
Suppose we are going to simulate 20 times airflow from inlet to outlet.
Then, RunTime=0.025×20RunTime=0.025×20
Therefore, RunTime=0.5secRunTime=0.5sec
Fluid And Solid Region:-
This particular simulation involves both fluid and solids, so the two separate regions were created.
For the liquid region following initial parameters were considered. and Stream ID set to 0.
Whereas, for Solids, the stream ID was set to 1. Aluminum material was mentioned.
Boundary Conditions:-
Solid Outer Wall:-
The outer cylindrical face is the part of the solid region so define it as a solid region.
At the solid outer wall, we are considering the Newman boundary condition where you prescribe a flux, which is the gradient of the dependent variable.
Solid Side near Inlet and Outlet
Here, a zero normal gradient case is considered for temperature.
Inlet:-
Near the inlet, the velocity was calculated to maintain the specific Reynolds number as 7000.
We are considering the inlet boundary condition as a Dirichlet boundary condition by specifying all the inlet values of velocity and temperature.
Outlet:-
For the outlet, also considering the inlet boundary condition as a Dirichlet boundary condition by specifying all the inlet values of pressure, and temperature.
Fluid-Solid Interface:-
Fluid Interface:-
Solid Interface:-
Turbulence model:-
Here, the turbulence model was used as RNG K-epsilon. because because of obstacle or throttle valve the laminar stream converted into turbulent.
Super-Cycle Modeling:-
In super-cycling CONVERGE iterates between fully-coupled transient and steady-state solution methods for the solid only. (CONVERGE uses the transient solver for the fluid)
Base Grid Definition:-
Result of Above Base grid:-
Post variable selection:-
Check the Y+ option to add it to the post.in the file as additional 3D outputs.
Output Files setting:-
Results:-
Simulation Case 1:-
Temperature Contour:-
Velocity Contour:-
Pressure Contour:-
Average Temperature at Outlet:-
Simulation Case 2:-
Temperature Contour:-
Velocity Contour:-
Pressure Contour:-
Average Temperature at Outlet:-
Simulation Case 3:-
Fixed embedding was used for this case.
Temperature Contour:-
Velocity Contour:-
Pressure Contour:-
Average Temperature at Outlet:-
Y+ Value:-
Y+ Boundary layer
The behavior of the flow near the wall is a complicated phenomenon and to distinguish the different regions near the wall the concept of wall Y+ has been formulated. Thus Y+ is a dimensionless quantity and is the distance from the wall measure in terms of viscous length.
In the turbulent boundary layer region flow near the wall has been analyzed in terms of three layers.
One of the reasons for the need for Y+ is to distinguish different regions near the wall or in the viscous region, however, how exactly it helps in turbulence modeling or general CFD modeling needs to be well understood. If we intend to resolve the effects near the wall i.e., in the viscous sublayer then the size of the mesh size should be small and dense enough near the wall so that almost all the effects are captured. But in some cases, if the wall effects are negligible then there is the option of including semi-empirical formulae to bridge between the viscosity-affected region and fully turbulent region, and in this case, the mesh need not be dense or small near the wall i.e, the coarse mesh would work.
For Simulation Case1:-
For Simulation Case2:-
For Simulation Case3:-
Temperature Vs Time of the solid with the variation of Supercycle Stage Interval
Supercycle Stage Interval 0.01:-
Supercycle Stage Interval 0.02:-
Supercycle Stage Interval 0.03:-
Supercycle Stage Interval 0.05:-
Observation Table1:-
With all the grid sizes we are getting the almost same results, which means the setup is correct and simulation results are dependable. Thus, results pass the grid independence test.
Observation Table2:-
By observation table2, we can notice, by reducing the supercycle stage interval our simulation time increases.
Temperaure Variation Animation:-
Conclusion:-
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