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Old   December 5, 2007, 07:21
Default DPM injection saving
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Hi, I'm working on a steady DPM simulation. I have several injections to define every time i run a new model and I was wondering if it is possible to save or export in any way the profiles of injection sources, in order to avoid new editing work for every new run.

Thank you all! fluid
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Old   December 5, 2007, 10:19
Default Re: DPM injection saving
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you can save the journal file........and do the similar tasks several times.....please, go through the help file on journal file.......

And Dear, I am also working on DPM for Air filter. I am also using steady continous flow, and unsteady particle tracking.....but I have a problem.......that the aborted particles are in terms of 3k and more.....

please, can u help me in this regard..... and I have one more doubt....... while it is injecting it says injecting 17200 particles.....

but, if u go to Report > DPM > Summary.... u will get different particle names.... when u click on one particle it shows.. # of parcels # of particles total weigt of the particles and many more details...

I am wondering what is the differnce between the parcel and particles....and in one parcels how many particles will be there......

TIA Prashant
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Old   December 5, 2007, 12:54
Default Re: DPM injection saving
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Thanks, I'll try with journal file even if sometimes it gives some problem using it with different models.... I have also tried to define injection sources by means of a file and i could use it under Win O.S. but not under Linux: I don't know the reason! Anyone knows how to edit a file which defines several injections properties?

For you questions: when aborted particles occur there's an error on lenght scale (or time step) for unsteady tracking. I had the same problem in the first times as long as i didn't reduce it.

Parcels are collections also of millions of statistically identical particles. For what i know for unsteady particle tracking the number of droplets in the parcel (number in parcel) is given by the relation: total_flow_rate*particle_time_step/particle_mass

I hope it helps you. bye, fluid

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