4.7 Article

Study of liquid-liquid extraction and mass transfer process with solid particles in the inline teethed high shear mixer

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ELSEVIER
DOI: 10.1016/j.seppur.2023.123559

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Liquid -liquid extraction; Liquid -liquid mass transfer; Solid particles; High shear mixer; CFD; Machine learning

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The study investigates the effects of particle size and concentration, rotor revolution speed, and rotor structural parameters on the liquid-liquid extraction process with solid particles. The results show that increasing the rotor revolution speed significantly improves mass transfer performance. The extraction efficiency and mass transfer coefficient increase at low revolution speeds but decrease with higher particle concentration. Larger particle size is detrimental to mass transfer. Additionally, the relationship between the mass transfer coefficient and key parameters is established with high accuracy using machine learning algorithms for HSM design and optimization.
The liquid-liquid extraction process with solid particles is of practical importance in the chemical industry. Consequently, the inline high shear mixer (HSM) was employed for the process intensification, and the effects of particle size and concentration, rotor revolution speeds, and rotor structural parameters were revealed in this work. Results indicate that increasing the rotor revolution speed remarkably promotes mass transfer perfor-mance. The extraction efficiency (E) and mass transfer coefficient (KLa) increase at low revolution speeds, yet mainly decrease with the elevated particle concentration. The larger particle size is more unfavorable to mass transfer. E and KLa first decline and then increase with the raised rotor outer diameter, and more rotor teeth correspond to higher E and KLa. Increasing the forward teeth angle promotes liquid-liquid extraction. The relationship between KLa and key parameters is established via machine learning algorithms with high accuracy for HSM design and optimization.

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