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Roger T. Bonnecaze Department of Chemical Engineering Institute for Computational Engineering & Sciences Texas Materials Institute. Simulation, Theory and Experiments on Multiphase & Interfacial Flows. Research Theme:. Discovery & understanding of fundamental fluid mechanical
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Roger T. Bonnecaze Department of Chemical Engineering Institute for Computational Engineering & Sciences Texas Materials Institute Simulation, Theory and Experiments on Multiphase & Interfacial Flows Research Theme: • Discovery & understanding of fundamental fluid mechanical • phenomena in multiphase and interfacial flows • Application of understanding to modeling, design and use of • man-made and natural processes
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 Activities Current research projects include: Graduate Students
Multiphase Flow of Suspensions Flow System Experimental Theoretical Nb=18.6 Inline sensor Nb= - 10.1
Oscillating Flow – MRI Imaging Neutrally buoyant particles generally migrate to center Except with high frequency pressure-gradient oscillations Axial concentration variations occur as well w/oscillations
Self-Assembly of Nanoparticles Development of fundamental understanding of the dynamics of pattern formation in colloidal and nanoscale systems Novel applications for materials with nanoscale patterns of particles as “active material” or templating agent Photonic Devices High-density Magnetic Media Joannopoulos et al.
Simulation as a Guide • Wall Charge and Ordering • = 1%, Yred = 42 Ywall = -27.3 Ywall = -250 Phase Diagram
Fluid Management in SFIL SFIL is a favorable alternative to traditional lithography methods: • 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
Critical 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 Large feature Small feature pattern Monomer drops
SFIL Simulation of Feature Filling Research Methods • Development of large scale • simulations • -Group & ICES parallel • computing clusters • Development of • micromechanics and multi- • phase continuum mechanics • Develop and apply • experimental methods to • discover & characterize new phenomena