Evaluation on Micromixing of a Continuous Solid Particle Flow in In-Line HSMs by Experiments and Artificial Intelligence Approaches

Abstract

The intensification of micromixing in an in-line HSM assisted with a continuous solid particle flow was investigated by the Villermaux/Dushman method. The ANN model was established to predict the micromixing time under different operating conditions and structural parameters. The results suggested that increasing the rotor tip speed can effectively improve micromixing in the in-line HSM. The continuous solid particle flow used as the buffer and acid solutions and increasing the proportion of large microparticles significantly intensified the micromixing. In the aspect of structural parameters, increasing the rotor teeth number improved the micromixing at low rotor tip speeds, and increasing the shear gap improved the micromixing at high rotor tip speeds. Then, the optimal structural parameters corresponding to the minimum micromixing time of 0.139 ms were determined by the incorporation model. This work can provide useful guidance for the application of in-line HSMs in multiphase processes involving solid particles.

Controllable Microfluidic System through Intelligent Framework: Data-Driven Modeling, Machine Learning Energy Analysis, Comparative Multiobjective Optimization, and Experimental Study

“…Moreover, they can be utilized to optimize the design parameters, in order to achieve nanoparticles with desired characteristics . In other words, by utilizing these data-based modeling methods, it is possible to control the micromixing process, , which in turn enables accurate predictions of synthesized nanoparticle properties …”

“…58 In other words, by utilizing these data-based modeling methods, it is possible to control the micromixing process, 51,52 which in turn enables accurate predictions of synthesized nanoparticle properties. 59 One of the initial challenges in the optimization process is the data set generation. Using only experimental methods to construct and test various geometries in different configurations requires excessive amounts of time and resources.…”