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Modelling submicron and micron particles deposition in a human nasal cavity

The size of a particle determines the deposition efficiency, as well as its deposition site. In this paper, different modelling techniques are presented for submicron and micron particles in a human nasal cavity. In addition this paper highlights some deficiencies in the default models available in a commercially available CFD software.For submicron particles the default Fluent Brownian model and a User-Defined Brownian model were evaluated. It was found that the default Brownian model significantly underpredicted submicron particle deposition, while the User Defined Brownian model provided an improvement in the particle deposition. The default Fluent turbulent particle tracking is known to overpredict the deposition of low inertial particles. This was evaluated against a damping function applied in the near wall region to reduce the normal fluctuating velocity. The application of the damping function improved the deposition efficiency for the low inertial particles.