Miniaturization of mixers is a hot topic in process intensification,
but efficient mixing at operational conditions with relatively large
viscosity μ and large flow rate ratio R between
two mixed solutions is still a great challenge for micromixers. Herein,
a miniaturized magnetic reactor (MMR) is developed, and its micro-
and macromixing performances are characterized by the Villermaux/Dushman
reaction and residence time distribution experiments, respectively.
The results show that the miniaturization of the premixing unit and
the stirred unit is vital. By arranging the stirred units in series,
the MMR is effective in reducing axial dispersion, intensifying mixing
at operational conditions with large μ and R and achieving efficient energy utilization without introducing extra
energy input. The micromixing time t
m
in the optimized MMR ranges from 0.24 to 1.42 ms
when 4.72 mPa·s < μ < 73.30 mPa·s and 8 < R < 20, indicating superior micromixing performance.
Moreover, machine learning models are established and compared for
predicting t
m
with excellent
accuracy and guiding mixer design, and the SHAP method is adopted
for model interpretation.