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Aim: To set up steady-state simulations to compare the mixing effectiveness when the hot inlet temperature is 360C & the Cold inlet temperature is at 190C. Abstract: The steady-state simulation will be set up for the two cases by choosing the suitable turbulence model. Case 1 Short mixing tee…
Faizan Akhtar
updated on 19 Apr 2021
Aim: To set up steady-state simulations to compare the mixing effectiveness when the hot inlet temperature is 360C & the Cold inlet temperature is at 190C.
Abstract: The steady-state simulation will be set up for the two cases by choosing the suitable turbulence model.
Application of mixing tee
Application where pipeline mixing with tee includes low viscosity mixing such as wastewater treatment and blending of some oils, injection of additives, and petrochemical products. Other applications include blending of fuel gas and mixing of feed streams for catalytic reactors.
Geometry description
A tee is formed by joining two pipe sections at the right angle to each other. One stream passes straight through the tee (hot inlet air with a velocity of 3 msec at a temperature of 36∘C while the other enters perpendicularly at one side (cold inlet air with the varying velocity at a temperature of 19∘C). The velocity at the cold inlet is increased to observe the effect of the mixing of air at the outlet.
The first set of simulations is carried for the default mesh size in "ANSYS-FLUENT" with varying turbulence models (k−ω and k−ε) to know the suitable turbulence model.
Case-1: Short tee
Default mesh size: 0.01029
Number of elements: 12760
Momentum ratio:2
Turbulence model: k−ε
Contour
Case-1(a): Short tee
Default mesh size: 0.01029
Number of elements: 12760
Momentum ratio:2
Turbulence model: k−ω
Conclusion
It can be inferred that the k−ε is best suited for flow away from the wall whereas k−ω is best suited for near the wall-flow region, in this project we are not dealing with the wall, so for further simulation k−ε will be used.
Case-1(b): Short tee
Default mesh size: 0.002
Momentum ratio:2
Turbulence model: k−ε
Number of elements: 105865
Contour
Case-1(c): Short tee
Default mesh size: 0.002
Momentum ratio:4
Turbulence model: k−ε
Number of elements: 105865
Contour
Case-2(a): Long Tee
Default mesh size: 0.002
Momentum ratio:2
Turbulence model: k−ε
Number of elements: 140272
Contour
Case-2(b): Long Tee
Default mesh size: 0.002
Momentum ratio:4
Turbulence model: k−ε
Number of elements: 140272
Contour
Calculating exact temperature of the mixture
Tmixture=mhot∗Thot+mcold∗Tcoldmcold+mhot
mhot=mcold=mair=1.293kg
Thot=309K
Tcold=292K
Thus, Tmixture=300.5K
Demonstration of mesh independent study
Description | Element size | Number of elements | Number of iterations for convergence |
Temperature at the outlet degree Celcius |
Exact temperature of the mixture |
Long tee momentum ratio 4 | 0.002m | 140272 | 140−150 | 27.375∘C | 27.50∘C |
0.003m | 56451 | 140−150 | 27.375∘C | ||
0.004m | 29044 | 120−130 | 27.50∘C | ||
0.006m | 15590 | 100−120 | 27.50∘C |
Thus by performing mesh independent test, it can be inferred that the simulation result closely resembles the exact temperature value at element size 0.006m which requires 100−120 iterations to converge which means it takes less computational time and less expensive, the element size should comply CFL number, an important criteria for the stability, otherwise, there may be a chance that solution will blow up.
Comparison of all cases
Description | Number of element | Number of iterations for convergence |
Temperature at the outlet degree Celcius |
Short tee momentum ratio 2 | 105865 | 150 | 30.30∘C |
Short tee momentum ratio 4 | 105865 | 140−150 | 27.40∘C |
Long tee momentum ratio 2 | 140272 | 150 | 30.40∘C |
Long tee momentum ratio 4 | 140272 | 140−150 | 27.375∘C |
Conclusion
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