Dimitrios V. Papavassiliou
Research Interests
Computational
Transport Processes Webpage
The focus of my research is on the fundamental understanding
and modeling of transport processes with industrial
and environmental interest. Novel computational methods
are developed and applied to explore turbulent transport
of mass and heat, turbulent jet flows, turbulent drag
reduction, flow and transport through porous media,
and heat transfer in microfluidics.
Numerical experiments are conducted in a virtual
laboratory. Our methods provide excellent measurements
for turbulent channel and plane Couette flow, we can
measure heat and mass transfer in these channels and
we can monitor the trajectories of thousands of particles.
Our Lagrangian scalar tracking (LST) methodology has
recently been used to investigate flow effects on
the progress of chemical reactions, to study the transport
of contaminants in microscopic pores, and to explore
the thermal properties of carbon nanotube composite
materials. We are also employing multiscale methods
for transport through porous materials. The flow is
simulated using appropriate methods for each important
physical scale. My group works on the development
of a prototype simulation that will integrate the
multiscale flow behavior. High Performance Computers
are utilized to conduct the numerical experiments
and to interpret the data. Parallel to the development
of prototype software, off-the-shelf software is used
to predict flows that can improve industrially important
process, such as melt-blowing.
My research interests also include transport phenomena
in biological systems and small-scale transport (at
the interface between statistical mechanics and classical
mechanics).
Selected Publications
Le, P.M., and D.V. papavassiliou, "On temperature
prediction at low Re turbulent flows using the Churchill
turbulent head flux correlation," Int. J.
Heat Mass Transf., 49, 3681-3690,
2006.
Voronov, R., Papavassiliou, D>V., and L.L. Lee,
"Boundary slip and wetting properties of interfaces:
Correlation of the contact angle with the slip length,"
J. Chem. Phys., 124, 204701,
2006.
Ford, A., and D.V. Papavassiliou, "Flow around
surface-attached Carbon Nanotubes," Ind.
Eng. Chem. Res., 45(5), 1797-1804,
2006.
Le, P.M., and D.V. Papavassiliou, "Turbulent
heat transfer in plane Couette flow," J.
of Heat Transf., Trans. ASME. 128, 53-62,
2006.
Krutka, H.M., Shambaugh, R.L., and D.V. Papavassiliou,
"Analysis of multiple jets in the Schwarz melt
blowing die using computational fluid dynamics,"
Ind. Eng. Chem. Res., 45(14),
5098-5109, 2006.
Duong, H.M., Papavassiloiou, D.V., Lee, L.L., and
K.J. Mullen, "Random walks in nanotube composites:
Improved algorithms and the role of thermal boundary
resistance," App. Phys. Lett., 87,
0131001, 2005.
Mitrovic, B.M., and D.V. Papavassiliou, "Effects
of a first-order chemical reaction on turbulent mass
transfer," Int. J. Heat Mass Transfer,
47(1), 43-61, 2004.
Mitrovic, B.M., Le, P.M., and D.V. Papavassiliou,
"On the Prandtl or Schmidt number dependence
of the turbulence heat or mass transfer coefficient,"
Chem. Eng. Sci., 59(3),
543-555, 2004.
Areas of Research / Energy
and Chemicals / Facilities
Campus facilities:
Linux cluster of 1024 Intel Xeon 64-bit CPUs at 3.2GHz,
2180 GB of RAM, Infiniband interconnect, a Data Direct
SAN of 14,000 GB of disk running IBRIX, with a peak
compute performance of 6.5536 TFLOP/s (www.oscer.ou.edu)
281 processor Linux Pentium4 Xeon cluster at the
OU Center for Supercomputing Education and Research
Off-Campus facilities:
IBM pSeries 690, 368 processor supercomputer
at the National Center for Supercomputing Applications
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