Smoluchowski coagulation equation
In
Simultaneous coagulation (or aggregation) is encountered in processes involving
Equation
The distribution of particle size changes in time according to the interrelation of all particles of the system. Therefore, the Smoluchowski coagulation equation is an
If dy is interpreted as a discrete
There exists a unique solution for a chosen
Coagulation kernel
The
known as the constant, additive, and multiplicative kernels respectively.[7] For the case it could be mathematically proven that the solution of Smoluchowski coagulation equations have asymptotically the dynamic scaling property.[8] This self-similar behaviour is closely related to scale invariance which can be a characteristic feature of a phase transition.
However, in most practical applications the kernel takes on a significantly more complex form. For example, the free-molecular kernel which describes collisions in a dilute gas-phase system,
Some coagulation kernels account for a specific fractal dimension of the clusters, as in the diffusion-limited aggregation:
or Reaction-limited aggregation:
where are fractal dimensions of the clusters, is the Boltzmann constant, is the temperature, is the Fuchs stability ratio, is the continuous phase viscosity, and is the exponent of the product kernel, usually considered a fitting parameter.[9] For cloud, the kernel for coagulation of cloud particles are usually expressed as:
where and are the radius and fall speed of the cloud particles usually expressed using power law.
Generally the coagulation equations that result from such physically realistic kernels are not solvable, and as such, it is necessary to appeal to
When the accuracy of the solution is not of primary importance, stochastic particle (Monte Carlo) methods are an attractive alternative.[citation needed]
Condensation-driven aggregation
In addition to aggregation, particles may also grow in size by condensation, deposition or by accretion. Hassan and Hassan recently proposed a condensation-driven aggregation (CDA) model in which aggregating particles keep growing continuously between merging upon collision.[18][19] The CDA model can be understood by the following reaction scheme
where denotes the aggregate of size at time and is the elapsed time. This reaction scheme can be described by the following generalized Smoluchowski equation
Considering that a particle of size grows due to condensation between collision time equal to inverse of by an amount i.e.
One can solve the generalized Smoluchowski equation for constant kernel to give
which exhibits dynamic scaling. A simple fractal analysis reveals that the condensation-driven aggregation can be best described fractal of dimension
The th moment of is always a conserved quantity which is responsible for fixing all the exponents of the dynamic scaling. Such conservation law has also been found in Cantor set too.
See also
References
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- ^ M. K. Hassan and M. Z. Hassan, “Condensation-driven aggregation in one dimension”, Phys. Rev. E 77 061404 (2008), https://doi.org/10.1103/PhysRevE.77.061404
- ^ M. K. Hassan and M. Z. Hassan, “Emergence of fractal behavior in condensation-driven aggregation”, Phys. Rev. E 79 021406 (2009), https://doi.org/10.1103/PhysRevE.79.021406