Challenge

Week 1- Mixing Tee

Aim -To study the effectiveness of the mixing tee.

Simulation conditions

  • steady-state simulation.
  • Mixing effectiveness when hot inlet temperature 36 ° C and cold inlet temperature 19° C.

The momentum ratio is equal to 2 and 4.

  • `"Momentum ratio"="velocity of cold inlet"/"velocity of hot inlet"`

There are four cases for the simulation of the mixing tee and the purpose of this simulation is to decide which case has the better mixing characteristics for the tee. Tee is the popular mixing device for mixing two fluid streams so it is essential to design it efficiently for the proper flow.

Initial steps for the simulation of each case

1)first the geometry is imported into the spaceclaim.

2)for the extraction of the fluid volume the volume extraction is selected and it is extracted with the help of the select edges. The solid body is selected for the suppress for physics.

3)The mesh is generated with the default mesh size.The mesh size is selected as 2.0195e-003 m.

Case 1=short mixing tee

Case 1(A):momentum ratio=2;

viscous model=K-epsilon

Plot of the residuals through out the simulation.

Surface report of the temperature in form of the area-weighted average temperature.

contour

temperature contour

velocity contour

case 1(A) with viscous model K-omega

Temperature contour

velocity contour

residuals

Case 1(B):momentum ratio=4;

viscous model=K-epsilon

residuals

temperature contour

velocity contour

Case 2=Long mixing tee

Case 2(A):momentum ratio=2;

viscous model=K-epsilon

area weighted temperature

temperature contour

Along the tee.

velocity contour along the tee

Across the tee at outlet

velocity contour at outlet

Case 2(B):momentum ratio=4;

viscous model=K-epsilon

residuals

Temperature contour

velocity contour

Comparison for the each case for checking the results and to form the conclusion from the results.

cases case 1A case 1B case 2A case 2B
cell size 2.0195e-003 m 2.0195e-003 m 2.0195e-003 m 2.0195e-003 m
cell count 103706 103706 138130 138130
avg outlet temp 30.287 27.563 30.361 27.518
Number of iteration 208 200-220 150-170 130-150
standard deviation 2.40644 0.995 2.01643 0.481632

validation for the outlet temerature

For case 1A

Mhot=0.003304

Mcold=0.001644

Tmixture=(Mhot*Thot + Mcold*Tcold)/(Mhot+Mcold)

=(0.003304*309.45 + 0.00164484*292.15)/(0.003304 + 0.00164484)

=303.5199 K

=30.369 C

For case 1B

Mhot=0.003304

Mcold=0.003289

Tmixture=(Mhot*Thot + Mcold*Tcold)/(Mhot+Mcold)

=(0.003304*309.45 + 0.003289*292.15)/(0.003304 + 0.003289)

=300.668 K

=27.518 C

For case 2A

Mhot=0.003304

Mcold=0.001644

Tmixture=(Mhot*Thot + Mcold*Tcold)/(Mhot+Mcold)

=(0.003304*309.45 + 0.00164484*292.15)/(0.003304 + 0.00164484)

=303.5199 K

=30.369 C

For case 2B

Mhot=0.003304

Mcold=0.003289

Tmixture=(Mhot*Thot + Mcold*Tcold)/(Mhot+Mcold)

=(0.003304*309.45 + 0.003289*292.15)/(0.003304 + 0.003289)

=300.668 K

=27.518 C

Note-Number of iterations for the convergence is given with the help of a residuals plot where all the residuals start to become horizontal lines without changing their slope is considered as convergence criteria.

Conclusion-

1)from the average outlet temperature of all the cases the long mixing tee with momentum ratio 4 is most efficient for the mixing because the temperature drop is maximum in that case and the standard deviation is also lowest for that case.

2)the length of the mixing tee does not affect the outlet temperature of the stream, the key factor which affects the outlet temperature is the momentum ratio.

3)from the validation study we can conclude that the error in the long mixing tee for the momentum ratio is the lowest.

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