(155b) Single Pass Drop Size Distributions Produced by a Multistage in-Line Rotor-Stator Mixer | AIChE

(155b) Single Pass Drop Size Distributions Produced by a Multistage in-Line Rotor-Stator Mixer

Authors 

Murthy, B. N. - Presenter, University of Maryland
Kiger, K. T. - Presenter, University of Maryland


Continuous or in-line high shear mixers are broadly employed in chemical processes to produce emulsions and liquid-liquid dispersions. Despite their widespread use, there is little fundamental basis to theoretically predict or experimentally assess their performance. As a result, process development, scale-up and operation are often by trial and error, leading to higher processing costs, start-up problems and lost time to market. In order to develop a fundamental understanding, at least on a mechanistic basis, of how drop breakup affects liquid-liquid dispersion performance, we have measured power draw and single pass drop size distributions (DSD) exiting a IKA Labor Pilot in-line rotor-stator mixer. This slot and tooth device can accommodate up to 3 stages of generators. We have examined medium (2 rows of teeth per stage), fine (3 rows per stage) and ultra fine (4 rows per stage) generators.

A continuous, turbulent water phase is fed to the mixer via a progressive cavity pump. At time zero, a single large oil drop is injected into the device and the resulting daughter DSD is measured at the exit using our previously reported Phase Doppler Anemometry (PDA) technique. Since PDA yields the time history of the exiting drop population, or residence time distribution (RTD), bivariate statistics of drop size and residence time can be obtained from several parent drop trials. Considerable care has been taken to insure that the PDA yields accurate and reproducible results over a broad range of drop size.

Systematic experiments have been performed to study the effect of flow rate, rotor speed, drop viscosity, generator geometry, and number of stages on the resulting DSD and RTD. Results indicate that flow rate is not as influential as geometry, rotor speed and drop viscosity, especially for multiple stages. The data will be discussed in detail, as well as implications to process performance.