You could just use a discrete phase model (DPM). In the set up for DPM, click injections and create to access the injection properties tool-box. Here you can create an inert particle injection and specify the min./max. particle diameters and spread of the distribution.
Please notice that Fluent DPM may not be suitable for nanoparticle simulation. Please see the attached discussion for this. As I know, Fluent has a special module called FPM (fine particle module) for fine particles simulation.
I do not know what functions are in Fluent, but I agree with Bin Zhao above. For nano particles, namely in high concentration the discrete phase model, also called Discrete Random Walk model is not suitable, as nanoparticles move dominantly by diffusion. Instead use Euler-Euler approach with a drift-flux (DF) model, that accounts for both diffusion and particle inertia effects (maybe this model is in Fluent?). Several DF models differ in how the particle velocity at the wall is computed.
you are from Uof M, I was there with prof. Patankar in 1992-1993. Try to contact him or his company Innovative Research, or Kailash Karki from there. They migh be able to help you - maybe - in writing your own UDF.
And by the way, particles with 400 nm are considered as submicron and they might be treated using Lagrange Euler, i.e. Random walk model, for example stochastic one by Gosman-Ioannides, whích is a standard model in all CFD codes.
Yes I agree with Prof. Miroslav Jicha, Actually I have employed Eulerian Eulerian approach for nanaparticle modelling (I attached one reference), which is based on drift flux model. But I have no general code of UDF in Fluent.
Mr. Leo.N.Y.Cao, I think it is not difficult to write such a UDF in Fluent for drift flux model.
I am from Pusan National University and also working on nano sized particle tracking. Can you suggest what should ideal for me to use for particle tracking and condensational growth of the particle to micron size?
For micron sized particles the Lagrange Euler approach is appropriate. For example Gosman-Ioannides should be OK. It is a stochastic model, but it is valid for isotropic turbulence. Simply said, fluctuating velocities in all directions are identical because they are calculated from the value of turbulent kinetic energy which is a scalar. So look for its adaptations to account for anisotropic near wall region (if your problem involves a wall).