Abstract

Agitation of two immiscible liquids or solid-liquid suspension is a frequent operation in chemical and metallurgical industries. Prediction of mean drop/particle size and drop/particle size distribution (DSD) is vital for emulsification, suspension polymerization, solid particle dispersion or crystallization. Simulation of particulate systems requires the knowledge of DSD and its time evolution. The time evolution of drop size distribution was investigated in baffled vessel mechanically agitated by a Rushton turbine and a high-shear tooth impeller. The system water –silicone oil was used as a model liquid. The volume fraction of the dispersed phase was 0.047 %. The drop sizes were determined by image analysis. The time evolution of the drops size dp32 was studied for both impellers tested. The model used involves the first order kinetics. Finally, the following correlations predicted by the Kolmogorov-Hinze theory were evaluated at steady state: dp32/D = C1.We-0.6 and dpmax/D = C2.We-0.6, where We is the impeller Weber number.

Highlights

  • Agitation of two immiscible liquids or solid-liquid suspension is a frequent operation in chemical and metallurgical industries

  • Simulation of particulate systems requires the knowledge of drop/particle size distribution (DSD) and its time evolution

  • The drop sizes were determined by image analysis

Read more

Summary

Introduction

Agitation of two immiscible liquids or solid-liquid suspension is a frequent operation in chemical and metallurgical industries. As an example it can serve suspension/emulsion polymerization, heterogeneous /phase-transfer catalytic chemical reaction and hydrometallurgical solvent extraction. Simulation of particulate systems requires the knowledge of DSD and its time evolution. Such description is rare in the literature. The aim of this contribution is to investigate the time evolution of drop size distribution in baffled vessel mechanically agitated by a Rushton turbine and a highshear tooth impeller. The drop size will be determined by an image analysis. In a subsequent analysis the minimum number of drops necessary to obtain relevant data was evaluated for each speed of the impeller

Theoretical background
Experimental
Experimental apparatus
Image analysis technique
Experimental procedure
Preparation of model system
Image acquisition
Image analysis
Data analysis
Calibration results for Rushton turbine
Calibration results for high-shear tooth impeller
Minimum number of drops for evaluation
Dimensionless correlations for steady drop sizes
Dimensionless correlation for breaking-rate constant
Findings
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call