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Give a brief description of why and where a CHT analysis is used. Maintain the y+ value according to the turbulence model and justify the results. Calculate the wall/surface heat transfer coefficient on the internal solid surface & show the velocity & temperature contours in appropriate areas. How would you verify if…
KURUVA GUDISE KRISHNA MURHTY
updated on 25 Sep 2022
What is CHT Analysis, Why and Where it is used?
Conjugate Heat Transfer (CHT) refers to the coupling of conduction in solids with the convective and radiative heat transfer in the surrounding fluids. In other words, CHT corresponds with the combination of heat transfer in solids and heat transfer in fluids. In solids, conduction often dominates whereas in fluids, convection usually dominates. Efficiently combining heat transfer in fluids and solids is the key to designing effective heaters, coolers, or heat exchangers. Heat transfer in solids and heat transfer in fluids are combined in majority of applications. This is because fluids flow around the solids, or between solid walls, and because solids are usually immersed in a fluid.
The CHT Analysis is used in processes which involve variations of temperature within solids and fluids, due to thermal interaction between the solids and fluids. The exchange of thermal energy between the two physical bodies is called study of Heat Transfer, the rate of transferred heat is directly proportional to the temperature difference between the bodies. A typical example is the heating or cooling of a solid object by the flow of air in which it is immersed.
The physics of conjugate heat transfer is common in many engineering applications, including heat exchangers, HVAC, and electronic component design.
Application: The conjugate heat transfer methods have become a more powerful tool for modeling and investigating nature phenomena and engineering systems in different areas ranging from aerospace and nuclear reactors to thermal goods treatment and food processing from the complex procedures in medicines to ocean thermal interaction in metrology.
CHT in recent years has significantly improved the cooling performance of electronic equipment such as the design of heat sinks and the design of heat exchangers for the waste treatment plant. One such application of CHT is the exhaust port system.
Solving and modeling approach
Pre-processing and solver setting
Baseline mesh
The geometry is loaded into Space claim
Fluid volume extraction
It is the process of extracting the fluid volume from the solid volume.
Share topology
It is the process of sharing information from fluid volume to solid volume. It plays important criteria in CHT analysis.
Meshing: It is the process of discretizing the geometry into a small number of volumes containing nodes. Since the geometry is complex and the mesh is unstructured therefore the finite volume scheme is used as a discretization scheme.
CASE 1
In this case, the default element size of ANSYS-FLUENT is used (150mm).
Named selection
Inlet boundary condition (velocity inlet) @ 5m/sec
Outlet (Pressure outlet) Gauge pressure 0Pa
Outer wall convection (Heat transfer coefficient 20(Wm2k) free stream temperature 300K)
The flanges around the inlet and the component encompassing the outlet are adiabatic (no heat transfer takes place through these walls).
Set up
The different boundary conditions are listed below
The rest boundary condition values are set up as default values in ANSYS-FLUENT.
Material properties
Fluid
Solid
Baseline mesh results
Residual plot
Heat Transfer coefficient
Temperature
Temperature plot Outer wall convection
Velocity Streamline
Pressure Plane
Velocity
Wall Heat transfer
Heat Transfer coefficient
Heat transfer coefficient |
21.926374 (Wm2k) |
CASE 2
A.First refinement
Element size: 90mm
Since the value of the heat transfer coefficient takes the value of the first cell near the wall, so it can be inferred that the Y+ value will be in the viscous sub-layer which is taken to be 1.
Steps involved in calculating the first cell height.
Reynolds number= ρ∗v∗Lμ
=1.225∗5∗0.171.7894e−05
=58189.8960
The characteristics length is taken as the inlet dia.
Skin friction coefficient, Cf=0.058R0.2e
=0.00646
Wall shear stress formula, τw=0.5∗Cf∗ρ∗v2
=0.5∗1.225∗25∗0.00646
=0.0989Pa
Frictional velocity formula, uτ=(τwρ)0.5
=0.2841msec
Now,Y+=△y∗uτ∗ρμ
Since Y+=1
Therefore △y=μuτ∗ρ
=0.0000514162m
=0.05141621mm
Inflation
Number of inflation layer: 6
Growth rate: 1.2
Inflation option: First layer thickness
First layer thickness: =0.05141621mm
Captured curvature is set to yes.
Body Mesh
Inflation layers
Mash
Residual plot
Heat Transfer coefficient
Temperature outer wall convection
velocity
Temperature plane
Velocity
Heat transfer
Heat Transfer coefficient
Heat transfer coefficient |
21.137651 (Wm2k) |
B.Second refinement
Element size: 80mm
Number of inflation layer: 10
First layer thickness:0.05141621mm
Growth rate: 1.2
Inflation layers
Residual plot
Heat Transfer coefficient
Temperature outer wall convection
Velocity streamline
Temperature Plane
Velocity plane
Heat transfer
Heat transfer coefficient :
Heat transfer coefficient |
17.964092 (Wm2k) |
Conclusion :–
In case 1 mesh generated has default setting and the results captured are less accurate due to the same.
In case 2 ‘a’ & ‘b’, inflation created results in finer mesh around solid wall. Leading to a capturing temperature contour and HTC more accurately than case 1.
From above cases we notice the following results –
Most accurate methods to predict results is to do a comparative study of experimental and analytical results on Nusselt’s Number.
Otherwise, another method to verify is to validate simulation data with published experimental data.
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