June 4, 2021 at 9:35 amai0013Subscriber
I was wondering if anyone here knows about a "rule of thumb" to determine an appropriate parcel count to obtain statistically significant results in my DPM simulation ?
For example, my system consists of:
Mass to inject: 5g
rho_p = 1400 kg/m3
d_p = [10-100] micron
How many parcels would be advisable? I want to test the effect of the extreme values d_p = 10 and 100 micron.. If I keep a fixed number of parcel in 1 Million, then:
Lower bound (10 micron) - 6.8e+9 physical particles -> Particle-to-Parcel ratio ~ 6.8e+3
Upper bound (100 micron) - 6.8e+6 physical particles -> Particle-to-Parcel ratio ~ 6.8
Is there any recommended particle-to-parcel ratio? I would appreciate any reference if possibleJune 4, 2021 at 11:24 amRobAnsys EmployeeI tend to leave Parcel settings as default and then increase the number of stochastic tries to increase the number of parcels in the domain. I also use unique injections of fixed size over RR distributions so I know how many of each size are in the system.
June 5, 2021 at 12:57 pmai0013Subscriberthan you for your kind answer.
My question is more related to know if theres any rule or formula to estimate a statistically-significant particle-to-parcel ratio?. As you can see, for a fixed dpm mass a decrease of 1order of magnitude in d_p, involves a factor x1000 in the particle-to-parcel ratio. Is there any threshold of this ratio for which the #parcels become unsufficient to accurately represent the physical particles in my system?
June 7, 2021 at 2:47 pmRobAnsys EmployeeNot really, as you also have a parcel mass to cell (facet) size for momentum and erosion etc. Very simply you need enough parcels such that the particle trajectories can be seen and are sensible, ie modelling a spray cone with 2 streams isn't any good, 20 is probably OK and 100 is likely to be excessive but that will also depend on the size of the cone etc.
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