Boltzmann load distribution
The Boltzmann charge distribution describes the resulting electrical bipolar charge equilibrium of gas-borne particles ( aerosol ) within a charge carrier cloud that contains positive and negative ions (as well as electrons ). The charge distribution corresponds to the probability of how high the charge state of a particle fraction is after a sufficiently long time in the charge cloud.
Charge distribution
The movement of gas-borne particles is determined by constant collision with other particles and with gas molecules . If at least one of the collision partners is electrically charged, an additional charge exchange takes place in the event of a collision, which depends on the charge level of the collision partner. The charge state of particles is strongly dependent on their size and surface properties. The charge distribution of a collective of particles, which occurs after a corresponding dwell time in a bipolar charge cloud, can be described with the Boltzmann charge distribution.
The following applies for particle diameters d P <20 nm
For particle diameters d P > 20 nm applies
With
Here d P is the particle diameter, n the number of charges (integer multiple of the elementary charge ), e the elementary charge 1.602 · 10 −19 C, ε 0 the permittivity of the vacuum 8.854 · 10 −12 As / Vm, k B the Boltzmann constant 1.308 · 10 −23 J / K and T is the gas temperature.
Assuming that the same number of positive and negative charge carriers are present, the resulting total charge is zero, which means that the particle collective has a neutral effect on the outside. Within the collective, the majority of the particles are also neutralized, especially as the particle size decreases. For d P >> 20 nm, the proportion of multiply charged particles increases.
In aerosol measurement technology, particles are often charged in a bipolar manner by ionizing the carrier gas, for example by a weakly radioactive source. Knowing the Boltzmann charge distribution and the electrical particle mobility distribution, one can then use a corresponding inversion algorithm to infer the particle size distribution.
See also
literature
- William C. Hinds: Aerosol Technology . John Wiley & Sons, New York 1982, ISBN 0-471-08726-2 .
Individual evidence
- ^ William C. Hinds: Aerosol Technology . John Wiley & Sons, New York 1982, ISBN 0-471-08726-2 .