All Courses
All Courses
Courses by Software
Courses by Semester
Courses by Domain
Tool-focused Courses
Machine learning
POPULAR COURSES
Success Stories
AIM - To learn where and why CHT analysis is used To check for porpoer y+ value according to the turbulance model used To calculate the wall and surface heat transfer coefficient on the internal solid surface. To create the Required plots of velocity and temperature contour To check if the HTC value are…
Amol Patel
updated on 02 Aug 2021
AIM -
To learn where and why CHT analysis is used
To check for porpoer y+ value according to the turbulance model used
To calculate the wall and surface heat transfer coefficient on the internal solid surface.
To create the Required plots of velocity and temperature contour
To check if the HTC value are right
To show on what factor the accuracy of the CFD predictions depends
OBJECTIVE -
To do the CHT analysis of ann Exhaust port and refine the mesh to get a good quality results.
CONJUGATE HEAT TRANSFER :
In certain cases it is possible that there is a temperature distribution for a solid body and a fluid is flowing over the solid which may be either used to cool or heat up the body. In such problems it is necessary to calculate the energy equation for the solid along with the fluid flow equations. This type of analysis is know as Conjugate Heat Transfer (CHT) analysis.
There are a lot of real life examples for which CHT analysis is necessary, for example the flow of high temperature gases through an exhaust port of a combustion engine , Flow of fluids in a heat exchanger, cooling of electronic devices, etc.
BASELINE SIMULATION:
For this challenge we will be solving the Conjugate heat transfer analysis on an exhaust port where the inlet velocity of the hot gas at 700K is 5m/s and the convective heat transfer coefficient of the outer wall is taken as 20 W/(m^2_K) , this value of convective heat transfer coefficient is taken from the supportive video lecture or else we can also do another simulation just to find out the value this parameter. But for our case we will be going with the given value.
Geometry Prep-
For the baseline simulation we will be first importing the exhaust port geometry into the spaceClaim as shown below
next we will go to the prepare tab and use the volume extract command to extract the fluid volume from the exhaust port geometry using the edge select option and then after selecting all the edges click on the green tick mark as shown below
our generated fluid volume is shown below while hiding the external exhaust port geometry
we will rename the imported exhaust geometry as solid volume and the extracted volume as fluid volume
next we will be moving both the parts to a new component and delete the empty components
now we will set the topology to share for our complete system that is by the name Design 1
next we will go to the workbench tab and select the share command to share the topology throught the fluid and solid volumes so that the elements will be aligned and can share all the properties for the calculations, last we will be selecting the green tick mark we get a conformal mesh.
Now our geometry is ready for meshing so will move to meshing to mesh this geometry.
Meshing
For the Baseline simulation we will be using the default mesh generated by meshing and add named selection to the inlets, oullet and the outer wall of the solid volume named as convection-wall.
first adding named seletions
meshing using default settings
the number of elements for this mesh are shown below
the minimum element quality is 0.17 that is good enough so we can using this mesh to do our baseline simulation.
Fluent Setup-
moving to fluent we will now set up the physics by turnig on the energy equation and selecting the k-epsilon viscous model.
now add the boundary conditions , for the inlets add the inlet velocity as 5 m/s and temperature as 700 K.
also we will set the heat transfer coefficient for the convective wall as 20 W/(m^2_K)
after that we will initialize the solution and also add a temperature contour to create a solution animation and run the simulation.
residuals
Temp contour at steady state
animation of temperature contour
temperature contour - exhaust port
CFD post Results-
Now we will look for other results in CFD post
velocity streamlines through the exhaust port with temp contour on the convective wall
as we see that there are 4 inlets and just one outlet the velocity at the outlet will be higher than the velocity at the inlet so there will be more convection in the outlet part and that is why the temperature of the outlet art is higher than the inlet part.
velocity coontour at across the outlet port
Wall heat transfer coefficient:
here we can see that the inner bend has a higher value of heat treansfer because there the velocity is the highest. more clear image can be seen below
surface heat transfer for the inner surface of solid volume
wall y+ value of the interfering surface
form here we can see that the range of y+ is very high it should be close to 30 as we are using k epsilon model.
Now we will be refining our MESH so that the y+ value is according to the turbulance model so here we will be adding inflation layer to our model so that the location near the wall is captured properly and the properties are calculated accurately.
REFINED MODEL :
We will use the same geometry that was prepared for the earlier case and load it into ansys meshing.
Meshing
Here we will first give named selection as earlier for the inlet , outlet and the convective wall
also we will be adding one more named selection here on the wall of the fluid volume as shown below and we will be naming it as inflation-layer
now for the meshing part we will add an inflation layer of height 1.7 mm on the named selection 'inflation-layer' so that our y+ value is 30 . we will be adding 5 layer in total with growth rate of 1.2
also we will be adding a body sizing to the solid volume so that there is proper heat conduction through it , here we will turn on the capture curvature option so that there is no deformation in the geometry
Now after generating the mesh it look like as shown below
the inflation layer is clearly visible in the above image
the number of element generated in this mesh are shown below
the element quality metrics for this mesh has the minimum element quality of 0.1 that is acceptable
So our refined mesh can now be used for the simulation in fluent . We will setup the condition for physics and the solution the same as we had set ealier and look for the results.
Results
Residuals
our residuals are fluctuating but as we can see that our temperature contour has stablized we will consider our solution has converged
Temp contour at steady state
Animation of temperature contour during the simulation
CFD Post :
Velocity streamline with temprature contour on the outer surface
we can see the temperature of the region with higher velocity is high due to more convection.
velocity contour across the outlet
wall heat transfer coefficient plot
Y+ contour
from here we can see that the y+ value of the simualtion are in the acceptable range of 30-300 for the k-epsilon model
the contour for the inner wall heat transfer coefficient is shown below
Surface heat transfer for the inner wall
Model | Elements | Inflation | Surface heat transfer (W/m^2_K) | Wall heat transfer (W/m^2_K) |
Baseline model | 137865 | no | 47.06 | 106.4 |
Refined Model | 466451 | yes | 48.18 | 181.6 |
the rise in the wall heat transfer coefficient is due to the inflation.
VERIFICATION OF HEAT TRANSFER COEFFICIENT:
We can verify if the HTC from the simulation by the analagous calculations that can be done
We know that Nusselts number is given by
Nu=h.LkNu=h.Lk
where h = heat transfer coefficient
L = characterstics length
k = thermal conductivity
Nusselts number is also a function of Reynolds number , which is a function of flow velocity
So, HTC is directly proportion to the flow velocity .
It is also clear from the above inmage of velocity contour and the temperatre contour
Theoratical calculations:
reynolds number :
Re=ρ⋅v⋅Dμ=1.225⋅5⋅0.171.7894⋅10-5=58189.896Re=ρ⋅v⋅Dμ=1.225⋅5⋅0.171.7894⋅10−5=58189.896
nusselts number :
Nu=0.023⋅(Re)0.8⋅(Pr)0.4=0.023⋅(58189.896)0.8⋅(0.684)0.4=128.123Nu=0.023⋅(Re)0.8⋅(Pr)0.4=0.023⋅(58189.896)0.8⋅(0.684)0.4=128.123
for temp 700 K Pr = 0.684
heat transfer coefficient
h=Nu⋅kDh=128.123⋅0.02420.17=18.23h=Nu⋅kDh=128.123⋅0.02420.17=18.23
and if we take the maximum flow velocity for calculations and the outlet throat
reynolds number:
Re=ρ⋅v⋅Dμ=1.225⋅40⋅0.171.7894⋅10-5=410752.207Re=ρ⋅v⋅Dμ=1.225⋅40⋅0.171.7894⋅10−5=410752.207
nusselts number :
Nu=0.023⋅(Re)0.8⋅(Pr)0.4=0.023⋅(410752.207)0.8⋅(0.684)0.4=611Nu=0.023⋅(Re)0.8⋅(Pr)0.4=0.023⋅(410752.207)0.8⋅(0.684)0.4=611
for temp 700 K Pr = 0.684
heat transfer coefficient
h=Nu⋅kDh=611⋅0.02420.17=98.575h=Nu⋅kDh=611⋅0.02420.17=98.575
this value are for a striaght pipe but for a complex geomtry like an exhaust port the values should be between this range .
FACTORS AFFECTING THE ACCURACY OF PRIDCITIONS:
The factors on which the accuracy of the simulation depends are
Mesh size - the size of mesh affect the results , if the meh size is too coarse the results will have high error
Element quality - the quality of elements in the mesh helps to reduce the approximations of the properties flowing through it so elements should have atleast the quality of 0.1 if the quality is less than this value we should refine our mesh.
Inflation - inflation help to capture the flow properties near the wall presisely
y+ - the value of y+ should be according to the turbulance model for the k-epsilon model the value should be between 30 to 300.
Leave a comment
Thanks for choosing to leave a comment. Please keep in mind that all the comments are moderated as per our comment policy, and your email will not be published for privacy reasons. Please leave a personal & meaningful conversation.
Other comments...
Week 6: Conjugate Heat Transfer Simulation
AIM- To simulate a Conjugate Heat Transfer flow through a pipe, while the inlet Reynolds number should be 7000. To run the grid independance test on 3 grids and show that the outlet temperature converges to a particular value To observe the effect of various supercycle stage interval on the total simulation time.…
09 Nov 2022 06:55 AM IST
Week 7: Shock tube simulation project
AIM - To set up a transient shock tube simulation Plot the pressure and temperature history in the entire domain Plot the cell count as a function of time SHOCK TUBE- The shock tube is an instrument used to replicate and direct blast waves at a sensor or a model in order to simulate actual explosions…
07 Nov 2022 09:18 PM IST
Week 5: Prandtl Meyer Shock problem
AIM - 1. To understand what is a shock wave. 2. To understand the what are the different boundary conditions used for a shock flow problems. 3. To understand the effect of SGS parameter on shock location. 4. To simulate Prandalt Meyer Shcok Wave. OBJECTIVE - Que 1. What is Shock Wave? A shock wave or shock,…
01 Nov 2022 06:36 PM IST
Week 4.2: Project - Transient simulation of flow over a throttle body
AIM - Transient simulation of flow over a throttle body. OBJECTIVE - Setup and run transient state simulation for flow over a throttle body. Post process the results and show pressure and velocity contours. Show the mesh (i.e surface with edges) Show the plots for pressure, velocity, mass flow rate and total…
12 Feb 2022 07:08 AM IST
Related Courses
Skill-Lync offers industry relevant advanced engineering courses for engineering students by partnering with industry experts.
© 2025 Skill-Lync Inc. All Rights Reserved.