132
H. Rehage and M. Kind
Fig. 18 REM pictures of barium sulfate precipitated for splitting factors β = 0 (left) and β = 0.3
(right). Reprinted with permission from [5]
Fig. 19 Experimental SEM
results for splitting factors
β = 0.0 and β = 0.2.
Reprinted with permission
from [5]
0
50
100
150
200
0.00
0.02
0.04
0.06
0.08
q
0 (nm
-1
)
L (nm)
β = 0.0
β = 0.2
The experimental results analyzed with SLS in comparison to simulation results
are given in Fig. 20. As observable, the model can predict the average particle size correctly even for a complex flowsheet including a recycle stream. The simulation with
a splitting factor of β = 0.3 ( ¯
u jet = 12.7m
1 s
−1 ) required 26 iterations on a flowsheet
level with a total computational time requirement of τ ct = 5.6 s (ct—computational
time) in Dyssol on one core of an Intel Core i7-7700 3.60 GHz processor. Consequently, even for complex flowsheets, the steady-state model combines reasonable
accuracy with a high numerical efficiency.
H. Rehage and M. Kind
Fig. 18 REM pictures of barium sulfate precipitated for splitting factors β = 0 (left) and β = 0.3
(right). Reprinted with permission from [5]
Fig. 19 Experimental SEM
results for splitting factors
β = 0.0 and β = 0.2.
Reprinted with permission
from [5]
0
50
100
150
200
0.00
0.02
0.04
0.06
0.08
q
0 (nm
-1
)
L (nm)
β = 0.0
β = 0.2
The experimental results analyzed with SLS in comparison to simulation results
are given in Fig. 20. As observable, the model can predict the average particle size correctly even for a complex flowsheet including a recycle stream. The simulation with
a splitting factor of β = 0.3 ( ¯
u jet = 12.7m
1 s
−1 ) required 26 iterations on a flowsheet
level with a total computational time requirement of τ ct = 5.6 s (ct—computational
time) in Dyssol on one core of an Intel Core i7-7700 3.60 GHz processor. Consequently, even for complex flowsheets, the steady-state model combines reasonable
accuracy with a high numerical efficiency.