Momentum source coefficient, cylindrical coordinates, circumferential component?
Hi,
I have a fluid (air) subdomain defined, with a general momentum source applied to it (using a cylindrical coordinate system). My goal is to simulate the air flow through an axial fan, including an estimation of the swirl (circumferential) velocity. I have the fan curve (volume flow vs system pressure delta) defined as a 1D interpolation function. I am calculating system pressure delta as: PressureRiseSystem = massFlowAve(Total Pressure)@Outlet  massFlowAve(Total Pressure)@Inlet I am applying the result of the FanCurve function (volume flow) to the axial component of the momentum source, using the momentum source coefficient approach. i.e. Axial Component = C*(massFlowAve(w)@FanOutlet  FanCurve(PressureRiseSystem)/area()@FanOutlet) Where C is the momentum source coefficient (i.e. 10^5) The radial component is set to 0 [kg m^2 s^2] I have an estimation for the tangential/circumferential component of the velocity (it is a function of fan RPM and radial location with some scaling factors), but it's not clear to me how use this estimated/spec tangential velocity to apply the Theta Component of the momentum source. In other words, if the Theta Component of the momentum source is something like: Theta Component = C*(VelocityThetaActual  VelocityThetaSpec) can I make both of these (VelocityThetaActual and VelocityThetaSpec) functions of the radial position, r? Also, how do I determine the VelocityThetaActual value? Convert the cartesian velocites u, v, and w to cylindrical components? Does that make sense? Any help is greatly appreciated. Thanks in advance! 
Firstly, pressure rise is best done on an area average basis rather than mass flow ave. Mass flow ave is meaningless for pressure.
Quote:
Quote:
Sounds like you need to define a local coordinate system. 
Hi Glenn, thanks for the reply. With the help of your comments, I think I have a model successfully defined, and converging nicely.
I ended up calculating the tangential/circumferential velocity in an expression, and using that value in the momentum source definition, along with the estimated "spec" or target tangential velocity imparted to the air from the rotating fan... Theta Component = C*(VelocityThetaSpec  VelocityTheta) where the expression VelocityTheta = u*sin(atan2(y,x)) + v*cos(atan2(y,x)) To achieve convergence stability, I had to define a nonconstant momentum source coefficient (C), that steadily increased (eventually to a value around 10e5) by a factor of the accumulated time step (atstep). Otherwise, if I set the momentum source coefficient constant at 10^5, the simulation would oscillate out of control, and if I set the value lower (i.e. 10^3), the model would converge with a significant error/differential between V and Vspec. Thanks again! 
I would say Total Pressure should be mass flow averaged, while only static pressure should be area averaged.

Quote:

Quote:
Massflow averages of things like enthalpy, temperature, concentrations and the like are physically meaningful as it gives you the total flux of the quantity. But this does not apply to pressures. The flux of pressure is not physically meaningful. 
Hi Glenn,
Some people argue that mass flow averages should be used for any transported variable. It's like saying "ok, enthalpy is advected so I'll use it's advection (the local mass flow) to compute the local average". I believe I even read something like this on a CFX training course. If you follow that thought you can think of dynamic pressure as a transported variable, specially if you look at velocity as a type of transported momentum. In this case, it would be ok to use mass flow average on dynamic pressure, and if you stretch it a little, also on total pressure. Quote:
About total pressure, you can also look at it as an energy on your flow. Higher total pressure, higher energy. Integrating it with the mass flow would give you the total flux of this energy, which is phisically meaningful. I'm not sure I'm right on this, so I'd like to hear your thoughts. Cheers. 
Quote:
Quote:
Quote:

My argument is purely dimensional, and your points are entirely valid also. So I guess whether you think the dimensional argument is convincing will determine which way you think on this issue.

Hello,
I stumbled across this thread looking for a solution to a similar problem. I would like to implement Momentum Sources in a cylindrical geometry. The solution to my problem is not converging, though, so I would like to steadily increase my Momentum Source Terms up to the desired value to achieve convergence. How do I apply this in CFX? Any help would be appreciated! Thank you very much 
Implement the source terms as described in this thread. You can then use a 1D table to ramp the value of your source coefficient according to the iteration number. The tutorials show how to use a 1D table.
If you're not used to 1D tables (or CFX in general) you can skip that and manually change the source coefficient value as the simulation runs by going to 'Tools > Edit Run in Progress' in the Solver Manager. 
Thank you very much brunoc for the quick help!
Would you recommend any slope for increasing? I was wondering whether the speed with which the values were increased had any influence on my convergence, i.e. do I have to achieve a convergent state with my first value to continue on to the next one? Cheers, AliLemprex 
If you have introduced a source term and it is not converging properly then you should use a source term coefficient. Correctly implemented that can make the difference between poor convergence and quick easy convergence.
Have you implemented a source term coefficient? 
Hello Glenn,
yes, I have implemented a Source Coefficient. I think my problem may be that the original Permeability for my porous media (calculating pressure losses with Darcy Permeability model) may be too little for an initial value so I am aiming to approach the desired permeability value. Calculations have already converged for higher permeabilities on the same geometry and mesh. I was just wondering whether there were certain strategies to safely achieve convergence when decreasing the permeability during the simulation run. Do I have to achieve a converged solution for a given permeability to safely continue to a smaller value? Thanks a lot for the help 
Hello. My "5 cents" about pressure averaging (sorry for offtopic).
For integral pressure drop estimations we need the total pressure averaging on inlet and outlet BCs of our models. At first, I tried a simple mass flow averaging for total pressure but it seems to be absolutely incorrect if we look at the underlying physics. In my opinion, the static pressure component should be areaaveraged and the dynamic pressure component should be massflowaveraged, adding these two parts we get correct integral total pressure. I think, its clear about static pressure, but how about dynamic one? It can be treated as a unit kinetic energy (per 1 m^3) of fluid (E=0.5*V*Rho*w^2, Pdyn=0.5*Rho*w^2). Unit kinetic energy is definitely a conserved value and can be transported so, IMHO, the dynamic pressure should be massflowaveraged. I tried an areaaveraging of total pressure on one of our models (HRSG gas ducts, irregular velocity profile at inlet) and it gives nonphysical results: total pressure increases in flow direction although there are only aerodynamic resistances, no any sources like fans e.t.c. Using areaAve for static pressure + massFlowAve for dynamic pressure (0.5*Rho*w^2) helps to eliminate this nonphysical behavior. 
All times are GMT 4. The time now is 23:21. 