13 Morphological Modelling and Simulation …
463
Fig. 24 The numerical
solver of all three simulation
approaches. (Reprinted with
permission from [6],
Copyright (2019) American
Institute of Chemical
Engineers)
agglomeration kernel, the agglomeration rate was calculated from the agglomeration
kernel and was also dependent on the size of the control volume and the number of
crystals in it:
r = β 0
N part
V MC
2
(34)
This means that, on average, in 1 s rV MC particles will agglomerate, which again
means that the average time step size is t = (rV MC )
−1 . For the Monte Carlo solver,
the time step size was sampled from an exponential distribution according to [49]
t = −t · ln(x)
(35)
463
Fig. 24 The numerical
solver of all three simulation
approaches. (Reprinted with
permission from [6],
Copyright (2019) American
Institute of Chemical
Engineers)
agglomeration kernel, the agglomeration rate was calculated from the agglomeration
kernel and was also dependent on the size of the control volume and the number of
crystals in it:
r = β 0
N part
V MC
2
(34)
This means that, on average, in 1 s rV MC particles will agglomerate, which again
means that the average time step size is t = (rV MC )
−1 . For the Monte Carlo solver,
the time step size was sampled from an exponential distribution according to [49]
t = −t · ln(x)
(35)