Swirling flow simulations
I'm attempting to validate simulations of a swirling air flow in a straight pipe, because I'm going to study the swirling flow in a engine cylinder. I've an experimental set of data that I obtained using a straight plexiglass pipe (diameter 94[mm], lenght 2[m])with a simple inlet geometry (a tangential, straight rectangular pipe  20[mm]X 40[mm]). massflow was measured by means of a von karman vortex transducer, and swirl intensity was obtained by means of a paddlewheel swirl meter. I'm using a thetraedral, unstructured mesh (220,000 cells), pressure B.C at inlet, pressure B.C. at outlet. My simulations are running on a parallel 2processors system winNtbased.
1) using the ke model I obtained a tangential velocity profile that is underestimated (40% less than expected  50<Y+<500 near the walls); 2) using the RNG model (swirldominated flow) and the standard walls treatment I have severe convergence problems. the central core is charactherized by a couterrotating, reversed swirl flow. Has anyone any idea to address this problem? Thanks in advance 
Re: Swirling flow simulations
1) It is well known in the literature that the ke model does not have the capability to deal with swirling flows. Using this model you will not obtain the correct velocity profile.
I would suggest to you to change to the RSM model which should work a lot better. 2) What discretization are you using? This also has a large impact on the accuarcy of your results. I would suggest to you to use Second Order Upwind for all variables. SIMPLE for pressurevelocity coupling. Hope this helps 
Re: Swirling flow simulations
dear Tom sorry, but my original message was truncated (maybe it was too long)! I've already tried to obtaing the convergence starting from a ke model then switching to RMS model and 2nd order discretization for all variables, but I couldn't address convergence problems and velocity profile underestimation (about 40%). Now I'm trying to obtain better results using an hexaedral mesh (280.000 cells, walls BL), but the results don't seems to be satisfactory. Thanks again, Ugo

Re: Swirling flow simulations
Ugo, what URFs are you using? Changing these could help your convergence problems.

Re: Swirling flow simulations
Hi, Johnny B, what is the mean of URF?

Re: Swirling flow simulations
Dear Ugo, I am also working on the same kind of problem (Swirling flow simulations) in curved tubes, for that i am using Second order upwind scheme and the URF which i am using for my solution are
pressure is 0.3; velocity is 0.5; body force is 0.8. u just try with this parameters i think your results will converge, cause my results are coming and matched with the experimental results. 
Re: Swirling flow simulations
Hi, Johnny; I tried to increase pressure URF (from 0.3 to 0.5) and decrease momentum URF (to approx 0.6), and the simulation converged. The result are still unsatisfying., because velocyty profile is underestimated compared to experimental data.

Re: Swirling flow simulations
The URFs are the Under Relaxation Factors, and they have a strong influence on the convergence of a simulation. You can find a lot of information about URFs in your User Manual. Bye

Re: Swirling flow simulations
Dear Vimal, Thanks for your suggestion. I obtained a convergent solution with a RNS simulation with standard URFs and firstorder discretization scheme, but velocity profile doesn't match the experimental data (simulated swirl ratio is 40% less than the measured one...) I will try to change the discretization method and I will use your URFs. bye P.S.: how about the wall treatment? I'm using standard wall functions, and my mesh have no BL cells

Re: Swirling flow simulations
Thanks, Ugo. These days I am adjusting the URFs to make my simulation convergence. And I find that only making all the URFs to be 0.1 can make my simu.convergence(that the residuals are under the limit).But there still some(about 15000) cell's turbulence viscosity ratio go beyond the limit of 10^5 and some reverse flow exist,and the velocity and pressure field are both weird and the absolute pressure is far less than 0. What i am simulating is a incompressible flow, and there is three pressure inlets, one velocity inlet and one pressure outlet. the discretization for pressure is body force weighted, and piso for vo coupling.as to the others I use first windup. would you so kind enough to tell me what leads to the abnormities in my simulation? Thanks in advance

Re: Swirling flow simulations
Hi richard; I'm trying to guess what is going wrong with your simulations; first of all I would like to know what kind of mesh are you using (tet, hex...) and if it is coarse or fine (n° of cells); furthermore you should check y+ values near walls, and adjust mesh size in conformity with the BL threatment you choose (for standard BL you should have 30<y+<200). bye

continue from the previous post
(for standard BL you should have 30<y+<300) hope this helps bye

Re: Swirling flow simulations
Hi Ugo, Thanks a lot.About my simulation, I use the hex mesh, and Fluent saids this:
Domain Extents: xcoordinate: min (m) = 0.000000e+00, max (m) = 3.511800e+02 ycoordinate: min (m) = 8.399000e+01, max (m) = 1.350000e+01 zcoordinate: min (m) = 2.000000e+00, max (m) = 6.500000e+00 Volume statistics: minimum volume (m3): 9.983918e07 maximum volume (m3): 1.998029e+00 total volume (m3): 3.087065e+04 Face area statistics: minimum face area (m2): 9.981380e05 maximum face area (m2): 2.058751e+00 Checking number of nodes per cell. Checking number of faces per cell. Checking thread pointers. Checking number of cells per face. Checking face cells. Checking bridge faces. Checking righthanded cells. Checking face handedness. Checking element type consistency. Checking boundary types: Checking face pairs. Checking periodic boundaries. Checking node count. Checking nosolve cell count. Checking nosolve face count. Checking face children. Checking cell children. Checking storage. Done. and i don't know if it is fine or coarse,is there any criteria for this ? as to Y* and Y+, I have checked them and Y+ is between 30 and 300, fitting the condition of using standard wall function. and what's your means of BL treatment? is that the wall function? 
reply to richardmesh quality
Dear richard, The info you sent me are relative to mesh cheking, and they are not useful to determine if the grid is fine or coarse. A good way to do that is to perform a "first guess", using a robust viscous, BL law & discretization choice for example: ke + standard BL law + I order discretization, then to check if an adaption of the grid is necessary. To do that you should apply the "10% rule" to gradient adaption: compute max&min values of (for example) pressure gradient, then set your coarsening Threshold to 110% of min value, and refinement Threshold to 10% of max value. try and let me know!! bye

Re: reply to richardmesh quality
Can you please explain this 10% rule to me please.
BOB 
Re: reply to richardmesh quality
Hi Bob; The "10% rule" is just a practical method: it's not an hard or straight foward rule for gradientbased adapting, but it gives you a good firstguess principle. For example, if you have min. PressureGradient=0.1 and max. PressureGradient=5, you should set refinement threshold to 0.5 and coarsening threshold to 0.11 (see previous post for details). Hope this helps, bye

Re: Swirling flow simulations
i would like to suggest u
1. make the grid independency study 2. when u r using the rsm , ur near wall mesh should be be very fine 3. use kepsilon with rng and enable swirl dominate flow and also switch on the nonequilibruim wall funtins hope this will work 
Hi everyone
I have same problem. I'm attempting to simulate a swirling compressible air flow in a pipe (diameter 39mm, lenght 60mm) with a combination of tangential inlet (4 square pipes, 10mm) and axial inlet (circular hole in the pipe end, diameter 12mm). I'm using a thetraedral, unstructured mesh (~2.700.000 cells), pressure BC at inlet, pressure BC at outlet. I've used various turbulence models and a laminar model. In all cases I've obtained a wrong profile for tangential velocity. It has been significantly underestimated. I've used as 1st and 2nd order discretization for all variables and I haven't had problems with convergence. Hope for your help. 
Basically a quick run through of what you need is if you haven't already got it setup is:
RSM turbulence model (Quadratic pressure strain if you can get convergence with it although depending on gradients in the flow the linear pressure strain model should be fine) PRESTO pressure discretisation QUICK discretisation for momentum Either 2nd order/Quick for the rest. Also I would use a 2nd order scheme for the time step. Although if the mesh is fully unstructured you might as well replace QUICK with 2nd order. Obviously run 1st order first before moving to higher discretisation methods. Also I would use a 2nd order scheme for the time step. I'm surprised you have had no problems with convergence either as alot of swirling flows can be trouble to deal with especially with getting residuals down to an decent level. If you want a more accurate tangential profile I would suggest using a structured mesh because despite the time involved in building it you are less likely to encounter convergence issues when using higher order schemes. It also produces less numerical diffusion as the cells are aligned with the flow giving you a more accurate solution. One last thing would be to determine where the transition between solid body rotation and the free vortex. So you can make sure you have sufficient radial mesh resolution to properly resolve the radial profiles. Neil 
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