Bulletin of the American Physical Society
71st Annual Meeting of the APS Division of Fluid Dynamics
Volume 63, Number 13
Sunday–Tuesday, November 18–20, 2018; Atlanta, Georgia
Session M29: Turbulent Mixing I
8:00 AM–10:10 AM,
Tuesday, November 20, 2018
Georgia World Congress Center
Room: B401
Chair: Luminita Danaila, CORIA, INSA de Rouen
Abstract ID: BAPS.2018.DFD.M29.5
Abstract: M29.00005 : Experimental investigation of turbulent mixing between liquids of disparate viscosity in a co-axial jet mixer*
8:52 AM–9:05 AM
Presenter:
Michael Cameron Reza Ahmad
(Georgia Institute of Technology)
Authors:
Michael Cameron Reza Ahmad
(Georgia Institute of Technology)
Gokul Pathikonda
(Georgia Institute of Technology)
Irfan Khan
(Dow Chemical Co)
Cyrus K Aidun
(Georgia Institute of Technology)
Devesh Ranjan
(Georgia Institute of Technology)
Industrial chemical processes often involve mixing of reactive fluids of different viscosities. These processes would involve a mixer that should efficiently mix reactants molecularly to prevent unwanted side products that decrease yield. To this end, the current work studies the physics of mixing to optimize mixing efficiency. A facility for study of coannular jet mixing was built that produces turbulent flows with high viscosity disparity between the liquids. To investigate the hydrodynamics of such mixing, highly resolved simultaneous PIV and PLIF data are acquired on confined co-flowing jet mixing configuration with refractive index matched binary mixtures of aqueous glycerol and calcium chloride solutions (viscosity ratio of 5). The PIV and PLIF data are used to extract mean and turbulent velocity and passive scalar statistics, and velocity-concentration cross-correlations from the flow fields, providing a statistical description of turbulent mixing and evolution of this confined coaxial jet flow. The observations in this study in concert with collaborative simulations enable the development of more physical models for turbulent mixing of fluids with disparate viscosities.
*We gratefully acknowledge support from The Dow Chemical Company under the University Project Initiative
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.M29.5
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