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Fluid Dynamics Research Evan Lemley Engineering and Physics Department Research Roundtable Dec. 5, 2008.

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Presentation on theme: "Fluid Dynamics Research Evan Lemley Engineering and Physics Department Research Roundtable Dec. 5, 2008."— Presentation transcript:

1 Fluid Dynamics Research Evan Lemley Engineering and Physics Department Research Roundtable Dec. 5, 2008

2 Fluids Infinitely stretchable Liquids and Gases Properties density viscosity () surface tension thermal conductivity diffusivity

3 D < 2000 – Laminar 2100 < D < 5000 Transition D > 5000 – Turbulent Laminar Flow From CFD Simulations by Handy & Lemley

4 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.

5 Turbulence

6 Turbulent Flow Turbulent Flow -- Flow is sinuous/random fluctuations Very few analytical solutions Turbulence dominates flow problems at large scale

7 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

8 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.

9 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

10 Research Team UCO – 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

11 f2 = 0.1, θ2=45°, θ3=45°, d2/d1=0.5, d3/d1=1.5. C omputational F luid D ynamics 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.

12 C omputational F luid D ynamics

13 Experimental Verification

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16 Efluids Image Gallery: http://www.efluids.comhttp://www.efluids.com Initially Laminar Flow Around Sphere Trip Wire on front of sphere reduces drap by tripping turbulent boundary layer.


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