the effects of different surface wettabilities on droplet ... · • cfd using openfoam v3.0.1 (7)...
TRANSCRIPT
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The Effects of Different Surface
Wettabilities on Droplet-Dry Substrate
Impact Outcomes
Matthew K. Owen
Dr. Milind A. Jog
16 May 2017
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Presentation Outline • Motivation
• Prior Research
• Research Goals
• Methods
• Validation
• Results
• Discussion
• Conclusion
• Acknowledgements
• Questions and Answers
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Motivation
• Evaporation of toxic chemicals results in fumes in the air
• This is common in workplaces (1)
• Droplets can see evaporation while in the air (2)
• And naturally, a source of droplets is from splashing
• An example is from coolants used during machining
• If an approach to predicting secondary droplet behavior
can be found, it can be possible to design out this hazard
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Prior Research
Substrate Liquid Droplet
Roughness Surface tension Diameter
Angle Viscosity Velocity
Temperature Density Impact Angle
Geometry Temperature
Wettability non-Newtonian
rheology
Elasticity surfactant additives
Charge (3),(4),(5),(6)
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Quick Review of Wettability
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Goals
• As contact angle changes
– Create a CFD simulation to investigate
• secondary droplet production
• secondary droplet behavior
• Determine criteria to
– Predict the generation of secondary droplets
– predict secondary droplet behavior
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Physical Conditions
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OpenFOAM Processing (1)
• CFD using OpenFoam v3.0.1 (7)
– OpenFOAM is an open source CFD suite
– Runs on Linux based OS (or Bash on Windows 10)
– Tool kit used is interFoam
• Employs volume of fluid (VOF) with alpha solving
incompressible Navier-Stokes
• 𝜌𝐷𝑽
𝐷𝑡= 𝜌𝒈 − 𝛻𝑝 + 𝜇𝛻2𝑽 (9)
• Shown to have reliable results for We>>1 (8)
• isothermal
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OpenFOAM Processing (2)
• InterFoam
– Required Inputs
• Kinematic viscosity (both phases)
• Density (both phases)
– Notes on Contact Angle
• Requires a contact angle between primary phase and surface
• Can be either just static angle, or can be the dynamic angles
• Static contact angles tended to produce results which are unreliable
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OpenFOAM Processing (3)
• Settings
– PIMPLE
• Combined algorithm of pressure-implicit split operator (PISO)
and semi-implicit-linked equations (SIMPLE)
– GAMG
• Geometric-algebraic multigrid with diagonal incomplete-LU
(DILU) preconditioner and Gauss-Seidel method for smoothing
– Conducted a mesh convergence study
• 11449 cells per square millimeter
– Automatically adjustable time step
• CFL < 0.1 determined
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Validation
t= 0.1ms; Δt=0.0ms
t= 0.2ms; Δt=0.04ms
t= 0.6ms; Δt=0.01ms
t= 1.9ms; Δt=0.0ms
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(9)
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Matlab Post-Processing
• Data taken from OpenFOAM to Matlab in .raw format
• ‘centroids’ function used to find secondary droplet
centers
– Needs a logical value grid, so the data was exaggerated to
have values at just 1 or 0 depending upon if its initial volume
fraction was above or below 0.03, respectively
• Various secondary droplet properties then extracted
or calculated
– Velocity, position, diameter, cross sectional area
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Results: Number of Droplets
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Results: Number of Droplets
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Results: Number of Droplets
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Results: Number of Droplets
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Results: Number of Droplets
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Discussion: Number of Droplets
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Ca>0.2
Ca<0.2
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Discussion
• Why when Ca is smaller more droplets occur is
difficult to say, implies stronger surface tension effects
• Yokoi ran limited simulations with water, suggested
the contact line velocity decreases with increasing
contact angle (10)
• Liquid would pass over to this and then become
prompt splash
• Does not explain 1-butanol, hexadecane, or
tetradecane
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Conclusions
• OpenFOAM is capable of running diverse droplet
impact simulations
• Simulations suggest increases in contact angle
increase numbers of secondary droplets
• Some chemicals do not behave this way though,
possibly due to inertial forces overcoming the contact
line velocity
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Future Work
• Look at chemicals within groups for change in
behavior
• Determine which dimensionless numbers best predict
behavior
• Change properties to change dimensionless numbers
– See if the pattern is the same
• Change physical properties and try to predict what will
happen
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Acknowledgments
• This research study was supported by
the National Institute for Occupational
Safety and Health through the University
of Cincinnati Education and Research
Center Grant #T42OH008432
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Questions
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References
[1] Olishifski, J.B., Fundamentals of Industrial Hygiene, National
Safety Council, 1979
[2] Frössling, N., Gerlands Beiträge zur Geophysik, 52:170-216
(1938).
[3] Tropea, C., Marengo, M., 1998, “The Impact of Drops on Walls
and Films,” Third International Conference on Multiphase Flow,
ICMF, Lyons
[4] Moreira, A.L.N., Moita, A.S., Panao, M.R., 2010, “Advances and
challenges in explaining fuel spray impingement: How much of
single droplet impact research is useful?”, Progress in Energy and
Combustion Science, 36, pp. 554-580
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References
[5] Gatne, K.P., Jog, M. A., Manglik, R. M., Langmuir,
25.14:8122-8130 (2009).
[6] Ravi, V., Jog, M.A., Manglik, R.M., Interfacial
Phenomena and Heat Transfer, 1.3:273-287 (2013).
[7] Weller, H.G., Tabor, G., Jasak, H., Fureby, C.,
Computers in Physics, 12.6 (1998)
[8] Deshpande, S.S., Anumolu, L., Trujillo, M.F.,
Computational Science & Discovery, 5 (2012).
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References
[9] Driscoll, M.M., Stevens, C.S., Nagel, S.R., Physical
Review, 82 (2010).
[10] Yokoi, K., Soft Matter, 7:5120-5123 (2011).
[11] Haynes, W.M. (ed), CRC Handbook of Chemistry
and Physics 96nd Edition, CRC Press, 2012
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