Fluid Dynamics Research

Evan Lemley

Engineering and Physics Department

Research Roundtable

Dec. 5, 2008

FluidsInfinitely stretchable

Liquids and Gases

Properties

density

viscosity ()

surface tension

thermal

conductivity

diffusivity

ℜD < 2000 – Laminar

2100 < ℜD < 5000

Transition

ℜD > 5000 – Turbulent

ℜD=V D

Laminar Flow

From CFD Simulations by Handy & Lemley

Laminar Flow

Flow follows streamlines

that do not change with

time

Analytical solutions

possible for simple

geometries for some

cases

Flow in pipes, around

airfoils, etc..., not

usually laminar.

Turbulence

Turbulent FlowTurbulent Flow -- Flow is sinuous/random fluctuations

Very few analytical solutions

Turbulence dominates flow problems at large scale

Micro-Fluidics

Highly porous magnesian limestone.

(www.dawntnicholson.org.uk)

Microfluidic Valve Structure.

(http://www.cchem.berkeley.edu/sjmgrp/p

eople/boris/boris.htm)

Laminar Flow dominates at micro-scale

Porous Network Simulator - FTPM

(Collaboration with Univ. of Oklahoma)3D Monte Carlo networks

from normal, beta, or

empirical distribution (pore

size pdf)

Coordination Number (1, 2,

3)

number of pores entering

and leaving a junction

± 90˚

Projection on the xy plane of a 3D network that

has 200 entry points at x=0, porosity equal to

10% and a range of ±60˚ relative to the x axis

and ±30˚ relative to the y axis.

Design and Analysis of

networks depends on

knowledge of flow and

energy losses in

arbitrary branches.

No systematic studies

to generalize these

bifurcations

Flow Network Analysis

ACS – PRF Grant to Simulate and perform Experiments

for Laminar Flow in Bifurcations

Research TeamUCO – Current UG's

Tim Handy - Simulation

Willy Duffle

Jesse Haubrich

OU

Dimitrios

Papavassiliou,

Chem. Engr.

Henry Neeman,

Supercomputing

Center

UCO – Past UG's

Matt Mounce, Josh Brown,

Scott Murphy, Jon

Blackburn, Jamie

Weber, Sudarshan Rai Students have been funded

by ORG, ACS-PRF grant,

and satisfying course

requirements

f2 = 0.1, θ2=45°, θ3=45°, d2/d1=0.5,

d3/d1=1.5.f2 = 0.1, θ2=45°, θ3=45°, d2/d1=0.5,

d3/d1=1.5.

Computational Fluid Dynamics

Lemley, E.C., Papavassiliou, D.V., and H.J. Neeman, 2007, “Simulations To Determine Laminar Loss

Coefficients In Arbitrary Planar Dividing Flow Geometries,” Proceedings of FEDSM2007, 5th Joint ASME/JSME

Fluids Engineering Conference, paper FEDSM2007-37268.Handy, T.A., Lemley, E.C., Papavassiliou, D.V., and H.J. Neeman, 2008, “Simulations to Determine Laminar

Loss Coefficients for Flow in Circular Ducts with Arbitrary Planar Bifurcation Geometries

,” Proceedings of FEDSM2008, ASME Summer Fluids Engineering Conference, paper FEDSM2008-55181.

Computational Fluid Dynamics

Experimental Verification

Experimental Verification

Experimental Verification

Efluids Image Gallery: http://www.efluids.com

Initially Laminar Flow

Around Sphere

Trip Wire on front of

sphere reduces drap

by tripping turbulent

boundary layer.