COMSOL: Diffusion in Transport of Diluted Species Produces Unphysical Results

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I am simulating Transport of Diluted Species inside a pipe segment in COMSOL Multiphysics. I have specified an initial concentration which produces a concentration distribution around a slice through the pipe at t=0. Moreover, I have a point probe a little bit upstream (I am using laminar flow for convection). I am plotting the concentration at this point dependent on time.

To investigate whether the model produces accurate (i.e. physically realistic) results, I am varying the diffusion coefficient D. This is where i noticed unrealistic behavior: For a large range of different diffusion coefficients, the concentration graph at the point probe does not change. This is unphysical, since e.g. higher diffusion coefficients should lead to a more spread out distribution at the point probe.

I already did a mesh refinement study and found, that the result strongly depends on mesh resolution. Therefore, I am now using the highest mesh resolution (extremely fine). Regardless, the concentration results still do not change for varying diffusion coefficients.

What could be the reason for this unphysical behavior? I already know it is not due to mesh resolution or relative tolerance of the solver.

Setup of the simulation: An initial concentration is defined at t=0 around z=1. Due to diffusion and advection (laminar flow) the initial concentration distribution is spread out through the channel. RX denotes the point at which I plot the concentration

Concentration at the point probe RX dependent on time. This plot does not change for varying diffusion coefficients D, even though it should.

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After a lot of time spent on this simulation, I concluded that the undesired effects are indeed due to numerical diffusion, as suggested by 2b-t. Of course, it is impossible to be certain that this is actually the reason. However, I investigated pretty much any other potential culprit in the simulation - without any new insights.

To work around this issue of numerical diffusion, I switched to Particle-Based Simulation (PBS) and approximated the concentration as the normalized number of particles inside a small receiver volume. This method provides a good approximation for the concentration for large particle numbers and a small receiver volume.

By doing this, I produced results that are in very good agreement with results know from the literature.