$v_s = \dfrac{(\rho_p - \rho_f)\,d_p^2\,g\,C_c}{18\mu}$
Cunningham correction
$C_c = 1 + \dfrac{2\lambda}{d_p}\!\left(1.257 + 0.4\,e^{-1.1d_p/2\lambda}\right)$
Diffusion coefficient
$D_p = \dfrac{k_B T\,C_c}{3\pi\mu\,d_p}$
Compute settling velocity, diffusion coefficient, Stokes number, Cunningham correction, aerodynamic diameter, and lung deposition fraction for particles from 0.01 to 100 μm in real time.
The core equation governing gravitational settling for small, spherical particles in a fluid is the Stokes' law, corrected for very small particles where air can no longer be treated as a continuous medium.
$$v_s = \dfrac{(\rho_p - \rho_f)\,d_p^2\,g\,C_c}{18\mu}$$Where $v_s$ is the settling velocity (m/s), $\rho_p$ is particle density (kg/m³), $\rho_f$ is fluid (air) density, $d_p$ is particle diameter (m), $g$ is gravity (9.81 m/s²), $\mu$ is air dynamic viscosity (Pa·s), and $C_c$ is the Cunningham slip correction factor.
The Cunningham correction factor is crucial for particles approaching the mean free path of air molecules (~0.066 µm). It accounts for "slip" at the particle surface, which reduces drag and increases settling speed compared to classic Stokes' law.
$$C_c = 1 + \dfrac{2\lambda}{d_p}\!\left(1.257 + 0.4\,e^{-1.1d_p/2\lambda}\right)$$Here, $\lambda$ is the mean free path of air. For large $d_p$, $C_c$ approaches 1 (no correction). For a 0.01 µm particle, $C_c$ can be >20, meaning it falls over 20 times faster than standard Stokes' law would predict!
Pharmaceutical Inhalers: Drug efficacy depends on particles depositing in specific lung regions. Engineers use these dynamics calculations to design aerosol particles with the perfect size (often 1-5 µm) to maximize lung deposition via sedimentation and minimize exhalation.
Indoor Air Quality & Ventilation: Understanding how fast virus-laden aerosols settle or remain airborne informs ventilation guidelines and safe exposure times. For example, large droplets settle quickly, but sub-micron "aerosol" particles can drift across a room.
Industrial Emission Control: Scrubbers and filters are designed based on the size distribution of emitted particles. The Stokes number determines if a particle will impact on a baffle or follow the gas stream, guiding pollution control device design.
Climate Science: The lifetime of atmospheric aerosols (like sea salt or sulfate particles) in the air before they settle or are washed out by rain is governed by these dynamics. This residence time directly impacts their radiative forcing and effect on climate.
First, there's the common assumption that "the particle density can always be taken as 1 g/cm³, the same as water". This can be quite misleading. For instance, between metal oxide dust (density ~4 g/cm³) and pollen (density ~0.5 g/cm³), the settling velocity for the same 10μm particle can differ by several times. Since deposition behavior in the lungs also changes, researching the actual density of the particles you're dealing with is the essential first step.
Next, there's the tendency to assume "air conditions are fixed at standard state (20°C, 1 atm)". At high altitudes (lower pressure) or in high-temperature environments, the air viscosity μ and density ρ_f change, affecting your calculation results. For example, at an altitude of 2000m, air density is about 80% of sea-level density, reducing buoyancy and slightly increasing the settling velocity. When simulating real-world conditions, remember to adjust the temperature and pressure parameters accordingly.
Finally, beware of the oversimplified interpretation that "a Stokes number (Stk) greater than 1 means the particle immediately falls to the floor". Stk is an indicator of behavior at airflow "bends". Even if a particle has high inertia, if its initial velocity is zero, its settling will be gradual. For example, a large particle (Stk>1) carried by ventilation duct airflow is more likely to impact the wall at a duct bend, whereas the same particle in still air would simply undergo Stokes settling. Get into the habit of considering how each parameter calculated by the tool applies within your specific flow field context.
For diesel exhaust particles (dp=2.5 µm), T=298 K, P=101325 Pa, U=0.8 m/s in air: Stokes number St≈0.004 (low, diffusive dominated), settling velocity v_s≈0.071 mm/s, Brownian diffusion D≈1.2×10⁻⁶ cm²/s, and alveolar deposition fraction ≈45%. Compare against silica dust (dp=5 µm): St≈0.016, v_s≈0.28 mm/s, deposition ≈32%, showing larger particles deposit more in upper airways than smaller particles dominated by diffusion.