A novel
pore-array intensified tube-in-tube microchannel (PA) with
high throughput was developed to couple with a high-shear mixer (PAHSM)
for improving its mixing performance. Effects of structural and operating
parameters were intensively investigated with the Villermaux/Dushman
system. The results indicated that the mixing performance in PAHSM
was significantly impacted by the structural parameters, and it increased
with both the rotor speed and flow rate but not with the flow ratio.
The micromixing time estimated with the incorporation model could
reach 10–4 s. Compared with other mixing devices,
the PA liquid distributor can significantly enhance the mixing performance
of HSM with high throughput but low pressure drop. An artificial neural
network (ANN) was applied to correlate the micromixing time with the
investigated parameters, and the comparison between the model and
experimental data indicated that it was an efficient method to fit
experimental data in the PAHSM.
The
effects of various structural and operating parameters on liquid–liquid
dispersion and selectivity of chemical reactions in inline single-row
teethed high shear mixers (HSMs) were studied by a parallel competitive
reaction system. The product distribution X
S was applied to evaluate the mass transfer characteristics. The results
show that X
S decreases evidently at first
in tandem with a slight increase as the rotor speed and flow rate
rise. The results also indicate that the structural parameters of
the rotors play a more important role in enhancing the mass transfer
efficiency at higher rotor speed. Compared with adjusting other structural
parameters, increasing the teeth number of the rotor can most significantly
decrease both X
S and Sauter mean drop
size d
32. Computational fluid dynamics
was applied to predict the flow and power characteristics. Furthermore,
a dimensionless correlation for X
S is
established to provide references for the design and optimization
of inline HSMs in liquid–liquid systems.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.