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TRANSIENT STATE CONJUGATE HEAT TRANSFER SIMULATION THROUGH A PIPE USING CONVERGE CFD …
Ramkumar Venkatachalam
updated on 04 Jun 2022
TRANSIENT STATE CONJUGATE HEAT TRANSFER SIMULATION THROUGH A PIPE USING CONVERGE CFD
(WEEK-6 CHALLENGE)
Our aim is to setup a transient state conjugate heat transfer simulation of flow through a pipe in converge by using different stage interval for super cycling model and different grid size, simulate it using Cygwin terminal and post process in Paraview and check the results.
Structure of CONVERGE CFD simulations
The basic steps for a simulation are as follows,
Conjugate Heat Transfer
Conjugate heat transfer is a combination of conduction and convection. It’s a heat transfer which involves the interaction of conduction within a solid body and convection between the solid surface and fluid volumes.
Typical example is a heat exchanger as in the figure the cold fluid enters the tubes and takes heat from the hot air flowing around the tube via natural convection. Some of the applications which involve conjugate heat transfers are building roofs, open water, chimney etc.
Heat Transfer Coefficient (HTC)
It’s a measure of convective heat transfer between fluid volume and solid medium around which the fluid flows.
Heat transfer coefficient is defined by the newton’s law of cooling. It is proportionality constant between heat flux (q) and temperature difference (ΔT) between the solid medium and the surrounding fluid. The SI unit of heat transfer coefficient (HTC) is watts per square meter kelvin (W/m2K).
For convective heat transfer coefficient calculation, usually T2 is temperature of the solid surface and T1 is temperature of the fluid around the surface or we can also call it as reference temperature. The choice of reference/ fluid temperature is important as the temperature near and away from the wall would be different depending on the flow due to thermal boundary layer.
There are two heat transfer coefficient for a flow through a pipe i.e. Internal HTC and External HTC
For External flows, fluid temperature will be the free stream temperature.
For Internal flow, fluid temperature will be the mass flow average temperature as the temperature profile inside a tube will be parabolic.
Nusselt Number
It is the ratio of convective heat transfer to the fluid heat conduction heat transfer under the same conditions.
Nu = qconvection /qconduction |
Concept of Wall Function
Wall function is an important defining criterion that tells the solver about the approach to solve near the boundary wall as it’s different for every case.
The boundary wall may be laminar or turbulent as well.
There are three regions in the turbulent boundary layer.
Y+ value
Y+ value is used to determine the first cell height based on whether to use wall function or not. Wall functions are required as the gradients of velocity, temperature, etc. close to the wall are large.
There are two approaches for solving i.e,
Super Cycling Modelling
Super Cycling Modelling used for Conjugate heat transfer problems where the equations need to be solved for both solid and fluid domains. This method is used in converge studio. Heat transfer occurs at a different speed in both solid and fluid domains as the convergence is achieved faster that the solid domain. So it creates a problem during solution as the convergence for both domains can’t be achieved at same time. In order to address this issue the super cycling model is used which makes sure that the equations are solved and convergence is achieved at the same time by pausing fluid domain solver until the solid domain are solved using time lengths for each intervals.
Problem – Flow through a pipe
The challenge includes transient state simulation of flow through a pipe, and to check the results.
Mesh Size - dx = dy = dz = 0.004 m [Base Grid],
dx = dy = dz = 0.003 m [Case 1],
dx = dy = dz = 0.002 m [Case 2]
Calculation
Inlet Velocity
Reynolds Number, Re = 7000, Density of air, ρ = 1.177 kg/m3 [for 300 K]
Diameter of the pipe, d = 0.03 m [Inner Dia], Dynamic Viscosity, µ = 1.86e-5 [for 300 K]
So, Inlet Velocity, v = 3.7 m/s
Total simulation time
Length of the pipe = 0.2 m, Inlet Velocity = 3.7 m/s [Reynolds Number = 7000]
Total Time required for single flow cycle = 0.2/3.7 = 0.05 [Time = Distance/ Speed]
Total Time required for 10 flow cycle = 0.05*10 = 0.5
So, End time taken, t = 0.5 s
The geometry of pipe is created and boundary is flagged as per the fluid and solid domain in Converge Studio as per the figure given below.
Fig: 3D Geometry – Pipe Flow
Fig: Mesh
Fig: Boundaries of the domain
4. Solver parameters such as the Navier stokes solver type, equations preconditions type, solver controls are set.
5. Boundary Conditions and Initial Conditions
Zone |
Type |
Boundary Condition |
Additional conditions (if any) |
Inlet |
Velocity Inlet |
Velocity Inlet – 3.7 m/s |
Transient State, Density Based, Temp – 300 K Turbulence Model- Standard k-epsilon |
Outlet |
Pressure - Outlet |
Static Pressure – 101325 Pa |
|
Solid Outer Wall |
Wall - Slip |
Heat Flux = -10000 W/m2 |
|
Solid Side |
Wall - Slip |
Zero Normal Gradient |
|
Interface |
Interface |
Forward – Fluid Domain Rearward – Solid Domain |
8. Base Grid – Mesh sizes are entered as per the problem.
9. Post Variable Selection - Select all the necessary variables and the location that needs to be checked while post processing.
10. Output Files – Output files writing time intervals, restart files are set as per the requirement.
11. After the setup is done click on “Validate all” option to check for any issues with the case setup. If everything is correct then green tick will appear for all tabs as shown in the figure below. Once the Setup is done, export the input files.
12. With input and executable files, navigate to the specific directory in Cygwin and run the simulation using "exe -n 4 converge.exe restricted </dev/null> logfile &"
13. After the run is completed Post convert the output files using “exe -n 4 post_convert.exe” into binary inline vtk format.
14. Using the vtm group files, post processing is done in ParaView in order to study the results.
Case Baseline (Inlet Velocity – 3.7 m/s, Base grid – 0.004 m)
Fig: Mesh Fig: Total Cell Count
Fig: IDREG Fig: Pressure Contour
Fig: Average Temperature Plot Fig: Temperature Contour
Fig: Y plus Contour Fig: Velocity Contour
Animation Link
Temperature – https://youtu.be/cwWGjTacZKY
Case 1 (Inlet Velocity – 3.7 m/s, Base grid – 0.003 m)
Fig: Mesh Fig: Total Cell Count
Fig: IDREG Fig: Pressure Contour
Fig: Average Temperature Plot Fig: Temperature Contour
Fig: Y plus Contour Fig: Velocity Contour
Animation Link
Temperature – https://youtu.be/EhOhkB_rMPY
Case 2 (Inlet Velocity – 3.7 m/s, Base grid – 0.002 m)
Fig: Mesh Fig: Total Cell Count
Fig: IDREG Fig: Pressure Contour
Fig: Average Temperature Plot Fig: Temperature Contour
Fig: Y plus Contour Fig: Velocity Contour
Animation Link
Temperature - https://youtu.be/DzTDBrk8suw
Fig: Mean Temp of Fluid Region
Fig: Mean Temp of Solid Region
Fig: Mean Temp at the Monitoring Point
Super Cycling Modelling (Inlet Velocity – 3.7 m/s, Base grid – 0.003 m)
Case 1A - Stage Interval – 0.03
Fig: Simulation Time for Stage Interval – 0.03
Case 1B - Stage Interval – 0.02
Fig: Simulation Time for Stage Interval – 0.02
Case 1C - Stage Interval – 0.01
Fig: Simulation Time for Stage Interval – 0.01
Fig: Mean Temp of Fluid Region
Fig: Mean Temp of Solid Region
Fig: Mean Temp at the Monitoring Point
6. CONCLUSION
7. REFERENCES
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