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Mixing of Oil in Water Through Electrical Resistance Tomography and Response Surface Methodology

Year: 2019

Journal: Chem. Eng. Technol., Volume 42, MAY, page 1101–1115

Authors: Mirshekari, Fahimeh; Pakzad, Leila

Organizations: Natural Sciences and Engineering Research Council of Canada (NSERC)Natural Sciences and Engineering Research Council of Canada (NSERC)

Keywords: Electrical residence tomography; Emulsions; Impellers; Mixing index; Response surface methodology

The mixing performance of the oil-in-water dispersion system was evaluated. Using an electrical resistance tomography system composed of two measuring planes, the effect of parameters such as impeller type, impeller speed, oil type, and oil volume fraction on the mixing performance through axial mixing indices were explored. The oil type and the oil volume fraction were identified as the most influential factors on the mixing index. Castor oil, with the highest viscosity of the tested oils, was found as the most difficult oil to disperse. The Scaba impeller was the most efficient impeller in dispersing oil in water. The interactions between oil type and impeller type as well as between impeller speed and oil type, had the greatest impact on the mixing index.