Challenge

Week 1- Mixing Tee

ANSYS FLUENT-CHALLENGE 1

AIM

  • To conduct a CFD simulation of air-mixing inside a Mixing Tee

INTRODUCTION

  • Air is passed through a mixing tee with two inlets and one outlet
  • The mixing tees are of diffeent length
  • The air inlet velocity is changed in two cases
  • The effect of mixing tee lengths and velocity ratios needs to be studied

THEORY

  • These are simple structures used in industries for mixing of subtances (mostly liquids)
  • The mixing can be for thermal gains or chemical mixing
  • The application can be seen in Automobiles, petrochemical industries etc.
  • In HVAC we can see its use in mixing fresh air with the re-circulated air
  • In Petroleum industries, they are used to infuse chemicals and steams into pipelines for various processes

CASE 1

  • In the first case we take the short mixing-tee
  • The hot inlet in x-direction is at a temperature of `36^o`C and a velocity of 3 m/s and Cold inlet in y-direction is of `19^o` C and 6 m/s (momentum ratio 2)

Length : 192.37 mm

Diameter : 33.87 mm

  • The working domain is chooses as Fluid Flow (Fluent) as it captures the fluid flow analysis the best
  • Then for geometry editing, we use SpaceClaim
  • We capture volume of fluid interations using volume extract tool and with the help of edge selection
  • Then we supress the shell physics from the analysis

  • The next step we close the SpaceClaim and we go to the mesh tool
  • In mesh we go for a mesh size of 2.5mm
  • To check the mesh, we use section plane, we click and drag to cut the geometry to have a check on the meshes
  • To generate the mesh, click generate

Nodes: 12580

Elements: 61186

  • Then we click update mesh to use the meshed geometry for further analysis
  • Add names to different faces so as to give Boundary conditions to the faces
  • With this we have completed the Pre-Processing

Solution

  • In the Workbench we then go for the solution, which launches the Fluent
  • Turn on the double precesion and start with 4-processor
  • Firstly we check for the mesh
  • Then we select pressure based solver (Mach No < 0.3, so incompressible fluid fow), absolute velocity formulation and Steady State analysis
  • In the physics we select energy as temperature is an input for the analysis
  • In the Viscous-Turbulent Model, we select k-epsilon(2-eq) model
  • Add air as the material
  • In the cell zones add air as the volume region
  • And the next step is to add Boundary conditions
  • Give the necessary Boundary conditions to both the inlet
  • In Solution ----> Definitions (Report tab) ---> New ----> Surface Report ----> Area Weighted Average and Standard Deviation and apply it
  • Initialize and then give 350 iterations and give calculate

  • The solution stage is now completed
  • The residuals obtaines, we need to make sure stead-state is achieved or not, continue the iteration till staedy-state is achieved
  • If solution hasnt attained convergence, we should increase the iterations

Residuals

Area-Weighted Average of Velocity magnitude at Outlet

Area-Weighted Average Temperature at outlet

Standard Deviation of temperature at Outlet

Post-Processing (Momentum Ratio 2)

  • X-Inlet Velocity = 3 m/s
  • Y-Inlet Velocity = 6 m/s
  • First we increase the transparency of the body in the results/post-processing
  • Then we insert a plane in xy-plane with z=0
  • In colors we give the colour as variable temperature and we get the temperature distribution in the plane created
  • Solution is not converged even in 550th iteration


Post-Processing (Velocity Ratio 4)

  • X-Inlet Velocity = 3 m/s
  • Y-Inlet Velocity = 12 m/s
  • Attained convergence in 175th iteration

Post Processing - k-omega (2 eq) || VR = 2

  • Here the solution has attained convergence in 258th iteration
  • In k-omega model the solver stops the iteration once the convergence criteria is attained and the convergence criteria is found to achieve at a faster rate

Post Processing - k-omega (2 eq) || VR = 4

  • X-Inlet Velocity = 3 m/s
  • Y-Inlet Velocity = 12 m/s
  • The solution is converged in 138th iteration
  • Steady state is attained at a faster rate when the velocity ratio is increased

Comparison of k-epsilon and k-omega with different velocity ratio for short mixing-tee

VR k-epsilon || Velocity k-epsilon || Temperature k-omega || Velocity k-omega || Temperature
4
Converged at 175th iteration Converged at 138th iteration
2
No Convergence at 2000th iteration Converged at 258th iteration

COMPARISON

  • As we increase the velocity ratio, solution gets converged faster
  • As the VR is increased, the magnitude of temperature and velocity has been more uniform
  • As we compary k-epsilon and k-omega, the solution is attained at a faster rate, 175th iteration to 138th iteration for a velocity ratio of 4
  • From this, it cam be concluded that for the particular flow condition, k-omega model helps in better solution at a faster computational time

Case 2 - Long Mixing Tee

Length : 268.33 mm

Diameter : 33.87 mm

Volume Extraction - SpaceClaim

Meshing

Mesh Size : 2.5 mm

Nodes : 17624

Elements : 86711

Solution || VR=2

  • The solution is converged at 163rd iteration

Post Processing - k-omega (2 eq) || VR = 2

  • X-Inlet Velocity = 3 m/s
  • Y-Inlet Velocity = 6 m/s
  • The solution is converged in 163rd iteration
  • As the lenth of the pipe is increased, the solution attained convergence earlier from 258th iteration to 163rd iteration

Temperature Distribution

Velocity Distribution

Solution || VR=4

  • The solution attained convergence at 575th iteration

Post Processing - k-omega (2 eq) || VR = 4

  • X-Inlet Velocity = 3 m/s
  • Y-Inlet Velocity = 12 m/s
  • The solution is converged in 575th iteration
  • As the lenth of the pipe is increased, the solution attained convergence later due to the increase in temperature

Temperature

Velocity

Conclusion

  • As we inclease the length of the pipe, the solution attained convergence at 163rd iteration for VR 2
  • For VR of 4, the solution required more iterations and the solution attained convergence at 575th iteration, this may be due to more turbulence set by the higher velocity ratio
  • In short the solution is greatly affected by the pipe length and velocity ratio
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