## Stokes Sedimentation Calculator

### Quick Start

This App uses Stokes’ law to estimate the rate at which a dispersion will settle. It will help you to predict how settling will depend on properties of your formulation such as

- Viscosity, shown as η
- Density of dispersed and continuous phases, shown as ρ
- Particle radius, r

You will need to know or be able to estimate these properties plus a few more such as volume fraction φ.

### Stokes Sedimentation

_{p}g/cc

_{l}g/cc

_{cent}mm

_{rel}

When you have particles of radius r of density ρ_{p} in a liquid of viscosity η and density ρ_{l} and a gravitational force g then the particles will fall at a velocity v and cover a distance h in time t. The formula is the Stokes equation:

v=2.18(ρ_{p}-ρ_{l})g_{rel}r²/η

t=h/v

g_{rel}=1+.000000001118*r_{cent}*RPM²

The normal formula uses g for gravity but if the particle is spinning at a given RPM in a centrifuge of radius r_{cent} then the effective force is larger, g_{rel} (relative to g) and the settling is faster. The 2.18 in the formula is the familiar 2/9 from the Stokes equation multiplied by g=9.81. The significance of φ is explained below.

If your particle isn't spherical it has an aspect ratio, AR, (long dimesion/short dimension greater than 1, and the Stokes equivalent radius is reduced. If AR21 = Sqrt(AR²-1) then the effective radius, r_{eff} is given by^{1}:

r_{eff}=r.(atan(AR21)/AR21)^{0.5}

If ρ_{pl} as in a typical oil in water emulsion then the "settling" velocity is negative and t is the time taken for the emulsion particle to rise by h.

So far, we have assumed that the particles don't interefere with themselves. A simple, but effective approximation from Richardson and Zaki tells us that the velocity is reduced by a factor of (1-φ)^{4.65} where φ is the volume fraction. Clearly this means that as particles start to settle and get locally more concentrated, the rate will reduce. This app is just to give a general idea of the effects in the early stages of settling.

There is one more factor. If the particle is very small then thermal motion (kT) is enough to keep it moving randomly so it will not settle. The rule of thumb is that settling will not occur if r^{4}Δρ.g<kT. For simplicity, T is assumed to be 298K. For the case of 1g, most nanoparticles will not settle easily. But as you spin the rotor, it is harder for thermal motions to resist the higher g.

### Notes and limitations

Although measuring densities and viscosities is not too hard, you are unlikely to have a single, known radius. In any case, as particles start to settle, they get slowed down either according to Richardson and Zaki or by other effects such as flocculation according to Buscall-White theory. So the point of the app is to give a feel for the sort of formulation options available to you, such as changing the viscosity and density of the liquid.

^{1}B. R. Jennings and K. Parslow, *Particle Size Measurement: The Equivalent Spherical Diameter*, Proc. Royal Soc. London. Series A, Mathematical and Physical Sciences, 419, No. 1856. 1988, 137-149