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Aim- to set up steady-state simulations to compare the mixing effectiveness when hot inlet temperature is 360C & the Cold inlet is at 190 Use the k-epsilon and k-omega SST model for the first case and based on your judgment use the more suitable model for further cases Simulate each case for given velocity and momentum…
Ujwal Sharma
updated on 07 Nov 2021
Aim-
Objective-
Ansys Project Schematic -
For Short mixing T-pipe similar can be followed in-case of Long T-pipe
Theory -
K-epsilon –
K-Omega –
Comparison –
Hence, for further simulation in Long T-pipe I am using K-epsilon model as we are not instructed to find the convergence near the walls specifically.
Simple Mesh Generated -
All the settings are set default-
Cut half Pipe Mesh-
Quality →Element Metrics
Mesh with inflation -
Cut half Pipe Mesh-
Quality →Element Metrics
Case 1-a - Cool_inlet =12 m/s
Hot_inlet = 3 m/s
Hot_outlet = pressure gauge = 1 atm
Cool_inlet_Temperature = 19*C
Hot_inlet_Temperature = 36*C
Convergence Plot -
Area-Weighted Average of Temperature at Oullet -
Area-Weighted Average of Velocity at Oullet -
Standard Deviation of Temperature at Oullet -
Velocity Contour along the length of Pipe -
Temperature Contour along the length of Pipe -
Streamline Velocity Contour along the length of Pipe -
Streamline Temperature Contour along the length of Pipe -
Case 1-b - Cool_inlet =6 m/s
Hot_inlet = 3 m/s
Hot_outlet = pressure gauge = 1 atm
Cool_inlet_Temperature = 19*C
Hot_inlet_Temperature = 36*C
Convergence Plot -
Area-Weighted Average of Temperature at Oullet -
Area-Weighted Average of Velocity at Oullet -
Standard Deviation of Temperature at Oullet -
Temperature Contour along the length of Pipe -
Velocity Contour along the length of Pipe -
Streamline Temperature Contour along the length of Pipe -
Streamline Velocity Contour along the length of Pipe -
Output Table 1 -
Short T-Mixing Pipe
Scheme - K-epsilon
Case 1-a
Momentum Ratio = 4 |
|||||
Element Size (Mesh) |
Cell Count (No. of Nodes & No. of Elements) |
Avg. Temperature @ Output in °C |
Avg. Velocity @Output In m/s |
Standard Deviation Temperature In °C |
Iterations
|
Default (1.0219e-003) |
2808 / 12632 |
27.5504 |
6.0160 |
1.1499 |
160 |
Scheme - K-omega (SST-Method)
Case 1-b
Momentum Ratio = 2 |
|||||
Element Size (Mesh) |
Cell Count (No. of Nodes & No. of Elements) |
Avg. Temperature @ Output |
Avg. Velocity @Output |
Standard Deviation Temperature |
Iterations
|
Default (1.0219e-003) |
2808 / 12632 |
30.280 |
4.496 |
1.309 |
180 |
From the above output tables, we achieve to a conclusion that only and if specified to find the convergence of fluid flow near the walls of pipe then we can use hybrid scheme - K-omega (SST-model) else we can stick to K-epsilon model. Where in we tend to observe the free stream flow (Visicous Sub-Layer) throughout the pipe.
Camparison b/w all cases
Convergence Plot -
Average Weighted Temperature along the length of Pipe -
Average Weigthed Velocity along the length of Pipe -
Standard Deviation Temperature along the length of Pipe -
Temperature Contour along the length of Pipe -
Velocity Contour along the length of Pipe -
Temperature Contour across the Pipe -
Velocity Contour across the Pipe -
_________________________________________________________________________________________________________
Mesh Independent Study
Mesh indepent test allows the user to create quality mesh refinement and determine the dependencies of same on simulation results. This type of study allows the user to define a preicise results.
Problem Setup -
Here the objective, is compare results with different mesh sizing this can be obtained by running various simulations mesh change and in bid to pass the Mesh Idenpendence results the user learns the importance of meshing in a design geometry and change of which implies to preicison simulation results.
In our Case, we run three mesh changes and simulations for each setup case for validation of study
Output Table 2 -
Short Pipe -
Momentum Ratio = 4 |
|||||
Element Size (Mesh) |
Cell Count (No. of Nodes & No. of Elements) |
Avg. Temperature @ Output in °C |
Avg. Velocity @Output In m/s |
Standard Deviation Temperature In °C |
Iterations
|
Default (1.0219e-002) |
2808 / 12632 |
27.5504 |
6.0160 |
1.1499 |
160 |
0.004 |
4742 / 22040 |
27.5706 |
6.0126 |
0.9921 |
134 |
Inflation 0.002 |
49107 / 140075 |
27.5260 |
6.0165 |
1.2109 |
120 |
Momentum Ratio = 2 |
|||||
Element Size (Mesh) |
Cell Count (No. of Nodes & No. of Elements) |
Avg. Temperature @ Output |
Avg. Velocity @Output |
Standard Deviation Temperature |
Iterations
|
Default (1.0219e-003) |
2808 / 12632 |
30.280 |
4.496 |
1.309 |
180 |
0.004 |
4742 / 22040 |
30.322 |
4.495 |
1.507 |
160 |
Inflation 0.002 |
49107 / 140075 |
20.407 |
4.501 |
1.401 |
110 |
Long Pipe -
Momentum Ratio = 4 |
|||||
Element Size (Mesh) |
Cell Count (No. of Nodes & No. of Elements) |
Avg. Temperature @ Output in °C |
Avg. Velocity @Output In m/s |
Standard Deviation Temperature In °C |
Iterations
|
Default (1.0219e-002) |
3477 / 15610 |
27.485 |
6.000 |
0.782 |
160 |
0.004 |
6236 / 29044 |
27.509 |
5.998 |
0.6167 |
131 |
Inflation 0.002 |
86269 / 186702 |
27.477 |
5.999 |
0.539 |
120 |
Momentum Ratio = 2 |
|||||
Element Size (Mesh) |
Cell Count (No. of Nodes & No. of Elements) |
Avg. Temperature @ Output |
Avg. Velocity @Output |
Standard Deviation Temperature |
Iterations
|
Default (1.0219e-003) |
3477 / 15610 |
30.280 |
4.496 |
1.309 |
180 |
0.004 |
6236 / 29044 |
30.322 |
4.495 |
1.507 |
140 |
Inflation 0.002 |
86269 / 186702 |
30.422 |
4.496 |
0.811 |
110 |
Conclusion -
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