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Search Publications by: Frederick R. Phelan Jr. (Fed)

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Displaying 51 - 75 of 94

Simulation of Nanotube Separation in Field-Flow Fractionation (FFF)

April 27, 2007
Author(s)
Frederick R. Phelan Jr., Barry J. Bauer
A Brownian dynamics simulation of prolate ellipsoidal particles is developed to investigate the separation of nanotubes in flow-FFF. The particle motions are governed by stochastic forms of a linear momentum balance with orientation dependent drag and

Flow Simulation of a Microfluidic Analog of the Four-Roll Mill

March 1, 2004
Author(s)
Frederick R. Phelan Jr., Steven Hudson
The fluid dynamics of channel geometries for liquid state materials characterization in microfluidic devices are investigated using finite element flow simulation and flow classification criteria. A pressure driven microchannel device is sought that has an

Microfluidic Analogue of the 4-Roll Mill

January 1, 2004
Author(s)
Steven D. Hudson, Frederick R. Phelan Jr., Matthew D. Handler, J Cabral, Kalman D. Migler, Eric J. Amis
Microfluidic technology promises to revolutionize analytical (bio)chemistry, because molecular separations are faster, less expensive and more efficient than in traditional large scale equipment. Materials and complex-fluid sciences can likewise benefit

Simulation of Droplet Breakup Using a Lattice Boltzmann Method

May 1, 2003
Author(s)
Frederick R. Phelan Jr., Nicos Martys
Droplet breakup in homogeneous shear flow at super critical Capillary numbers and a viscosity ratio of unity is studied using a lattice Boltzmann method. We find that the total number of child drops that form from an isolated super critical drop scales

The Prediction of Permeability for an Epoxy/E-Glass Composite Using Optical Coherence Tomographic Images

December 1, 2001
Author(s)
Joy Dunkers, Frederick R. Phelan Jr., C G. Zimba, Kathleen M. Flynn, D P. Sanders, R C. Peterson, Richard~undefined~undefined~undefined~undefined~undefined Parnas
Knowledge of the permeability tensor in liquid composite molding is important for process optimization. Unfortunately, experimental determination of permeability is difficult and time consuming. A rapid, non-destructive technique called optical coherence

Permeability Prediction From Non-Destructive Imaging of Composite Microstructure

May 1, 2001
Author(s)
Joy Dunkers, Frederick R. Phelan Jr., Kathleen M. Flynn, D P. Sanders, Richard~undefined~undefined~undefined~undefined~undefined Parnas
In this work, binary images of the microstructure of a unidirectional E-glass/epoxy composite were generated from the low contrast OCT data through image de-noising, contrast enhancement and feature recognition. The resulting data were input to a lattice