220
G. Fragnière et al.
Fig. 15 Effective collision frequency determined from CFD-DEM simulations and breakage energy
distribution of yeast and limestone. The breakage energy distributions can be described by lognormal distributions (Reprinted with permission from [27])
Fig. 16 Experimentally determined breakage rate compared to the simulative determined breakage
rate for limestone (a) and yeast cells (b) (Reprinted with permission from [27])
simulation results and model assumptions and does not contain any fitted parameters. Figure 16b shows that for yeast the influence of stirrer speed, material strength
and grinding bead size on the breakage rate can be well mapped. In the case of
glass grinding media, the simulated breakage rate corresponds to 0.2–1.7 times the
experimentally determined breakage rate. However, the influence of the change of
grinding media from glass grinding media to zirconium oxide grinding media cannot be reproduced correctly and S sim for zirconium oxide grinding media is clearly
G. Fragnière et al.
Fig. 15 Effective collision frequency determined from CFD-DEM simulations and breakage energy
distribution of yeast and limestone. The breakage energy distributions can be described by lognormal distributions (Reprinted with permission from [27])
Fig. 16 Experimentally determined breakage rate compared to the simulative determined breakage
rate for limestone (a) and yeast cells (b) (Reprinted with permission from [27])
simulation results and model assumptions and does not contain any fitted parameters. Figure 16b shows that for yeast the influence of stirrer speed, material strength
and grinding bead size on the breakage rate can be well mapped. In the case of
glass grinding media, the simulated breakage rate corresponds to 0.2–1.7 times the
experimentally determined breakage rate. However, the influence of the change of
grinding media from glass grinding media to zirconium oxide grinding media cannot be reproduced correctly and S sim for zirconium oxide grinding media is clearly