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THE UNIVERSITY OF
AT AUSTINRoger T. BonnecazeDepartment of Chemical EngineeringInstitute for Computational Engineering & SciencesTexas Materials Institute
Simulation, Theory and Experiments on Multiphase & Interfacial Flows
• Discovery & understanding of fundamental fluid mechanicalphenomena in multiphase and interfacial flows
• Application of understanding to modeling, design and use of man-made and natural processes
Research Theme:
THE UNIVERSITY OF
AT AUSTIN Current Research ActivitiesCurrent Research Activities
• Multiphase flow of suspensions & emulsions
• Rheology of pastes• Self-assembly of
nanoparticles• Fluid management in
Step-and-Flash Imprint Lithography
• Jay Norman• L. Srivatsan• Brooks Rabideau• Shravi Reddy• Jyoti Seth• Bomi Nam
Post-doctoral researcher• Dr. Hebri Nayak
Current research projectsinclude:
Graduate Students
THE UNIVERSITY OF
AT AUSTIN Multiphase Flow of SuspensionsMultiphase Flow of Suspensions
Inline sensor
Flow System
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Nb=18.6
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Experimental Theoretical
Nb= - 10.1
THE UNIVERSITY OF
AT AUSTIN Oscillating Flow – MRI ImagingOscillating Flow – MRI Imaging
Neutrally buoyant particles generally migrate to center
Except with high frequency pressure-gradient oscillations
Axial concentration variationsoccur as well w/oscillations
THE UNIVERSITY OF
AT AUSTIN Self-Assembly of NanoparticlesSelf-Assembly of Nanoparticles
Development of fundamental understanding of the Development of fundamental understanding of the dynamics of pattern formation in colloidal and nanoscale dynamics of pattern formation in colloidal and nanoscale systemssystems
Novel applications for materials with nanoscale patterns of Novel applications for materials with nanoscale patterns of particles as “active material” or templating agentparticles as “active material” or templating agent
Photonic Devices
Joannopoulos et al.
High-density Magnetic Media
THE UNIVERSITY OF
AT AUSTIN Simulation as a GuideSimulation as a Guide
Wall Charge and Ordering= 1%, red = 42wall = -27.3 wall = -250 Phase Diagram
THE UNIVERSITY OF
AT AUSTIN Fluid Management in SFILFluid Management in SFIL
Photolithography requires expensive optics systems & is limited by wavelength of light Imprint lithography is high throughput and low cost Template takes advantage of E-beam technology – smaller features are possible
SFIL is a favorable alternative to traditional lithography methods:
THE UNIVERSITY OF
AT AUSTIN Critical Fluid Dynamics in SFILCritical Fluid Dynamics in SFIL
• Imprint time
• Base layer thickness
• Filling by multiple
drops
• Preferential flow paths
• Arresting of droplet flow front
• Filling of template
features
Monomer dropsSmall feature pattern
Largefeature
THE UNIVERSITY OF
AT AUSTIN
SFIL Simulation of Feature Filling
• Development of large scalesimulations -Group & ICES parallel computing clusters
• Development of micromechanics and multi-phase continuum mechanics
• Develop and apply experimental methods to discover & characterize new phenomena
Research MethodsResearch Methods