408
E. Lukas et al.
Fig. 17 Comparison of
model predictions regarding
grade efficiency versus
terminal particle velocity
using a model derived from
[22] (lines) with
measurement data (symbols)
regarding separation of glass
beads, after fitting of model
parameters
As exemplified in Fig. 17, it leads to an excellent agreement with the measurement
data.
4.3 Implementation in DYSSOL
The final step of this project is an implementation of the reduced models into the
central software DYSSOL, derived at the Technical University Hamburg in the group
of S. Heinrich. This has already been carried out for the model derived from [11], as
illustrated in Fig. 18. In this manner, coupled simulations involving zigzag classifiers
can readily be carried out in this context.
Fig. 18 Screenshot from DYSSOL (left: computation results; right: employed setting) showing the
implementation of the ZAC model derived from the model of Tomas and Gröger [11]
E. Lukas et al.
Fig. 17 Comparison of
model predictions regarding
grade efficiency versus
terminal particle velocity
using a model derived from
[22] (lines) with
measurement data (symbols)
regarding separation of glass
beads, after fitting of model
parameters
As exemplified in Fig. 17, it leads to an excellent agreement with the measurement
data.
4.3 Implementation in DYSSOL
The final step of this project is an implementation of the reduced models into the
central software DYSSOL, derived at the Technical University Hamburg in the group
of S. Heinrich. This has already been carried out for the model derived from [11], as
illustrated in Fig. 18. In this manner, coupled simulations involving zigzag classifiers
can readily be carried out in this context.
Fig. 18 Screenshot from DYSSOL (left: computation results; right: employed setting) showing the
implementation of the ZAC model derived from the model of Tomas and Gröger [11]