Identifying and tracking bubbles and drops in simulations: A toolbox for obtaining sizes, lineages, and breakup and coalescence statistics

Chan, Wai Hong Ronald; Dodd, Michael S.; Johnson, Perry L.; Moin, Parviz

doi:10.1016/j.jcp.2021.110156

Identifying and tracking bubbles and drops in simulations: A toolbox for obtaining sizes, lineages, and breakup and coalescence statistics

Journal Article · Mon Jan 25 23:00:00 EST 2021 · Journal of Computational Physics

DOI:https://doi.org/10.1016/j.jcp.2021.110156· OSTI ID:1850293

Chan, Wai Hong Ronald ^[1]; Dodd, Michael S. ^[2]; Johnson, Perry L. ^[3]; Moin, Parviz ^[4]

Stanford Univ., CA (United States). Center for Turbulence Research (CTR); Stanford Univ., CA (United States)
Stanford Univ., CA (United States). Center for Turbulence Research (CTR); Bellevue, WA (United States)
Stanford Univ., CA (United States). Center for Turbulence Research (CTR); Univ. of California, Irvine, CA (United States). The Henry Samueli School of Engineering
Stanford Univ., CA (United States). Center for Turbulence Research (CTR)

Knowledge of bubble and drop size distributions in two-phase flows is important for characterizing a wide range of phenomena, including combustor ignition, sonar communication, and cloud formation. The physical mechanisms driving the background flow also drive the time evolution of these distributions. Accurate and robust identification and tracking algorithms for the dispersed phase are necessary to reliably measure this evolution and thereby quantify the underlying mechanisms in interface-resolving flow simulations. The identification of individual bubbles and drops traditionally relies on an algorithm used to identify connected regions. This traditional algorithm can be sensitive to the presence of spurious structures. A cost-effective refinement is proposed to maximize volume accuracy while minimizing the identification of spurious bubbles and drops. An accurate identification scheme is crucial for distinguishing bubble and drop pairs with large size ratios. The identified bubbles and drops need to be tracked in time to obtain breakup and coalescence statistics that characterize the evolution of the size distribution, including breakup and coalescence frequencies, and the probability distributions of parent and child bubble and drop sizes. An algorithm based on mass conservation is proposed to construct bubble and drop lineages using simulation snapshots that are not necessarily from consecutive time steps. These lineages are then used to detect breakup and coalescence events, and obtain the desired statistics. Accurate identification of large-size-ratio bubble and drop pairs enables accurate detection of breakup and coalescence events over a large size range. Accurate detection of successive breakup and coalescence events requires that the snapshot interval be an order of magnitude smaller than the characteristic breakup and coalescence times to capture these successive events while minimizing the identification of repeated confounding events. Together, these algorithms serve as a toolbox for detailed analysis of two-phase simulations, and enable insights into the mechanisms behind bubble and drop formation and evolution in flows of practical importance.

View Accepted Manuscript (DOE)

Research Organization:: Stanford Univ., CA (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA); US Office of Naval Research (ONR)

Grant/Contract Number:: NA0002373

OSTI ID:: 1850293

Alternate ID(s):: OSTI ID: 1775933
OSTI ID: 23203370

Journal Information:: Journal of Computational Physics, Journal Name: Journal of Computational Physics Journal Issue: C Vol. 432; ISSN 0021-9991

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (60)

Towards a model of bubble breakup in turbulence through experimental constraints Qi, Yinghe; Mohammad Masuk, Ashik Ullah; Ni, Rui International Journal of Multiphase Flow, Vol. 132 https://doi.org/10.1016/j.ijmultiphaseflow.2020.103397	journal	November 2020
Numerical analysis of the dynamics of two- and three-dimensional fluidized bed reactors using an Euler–Lagrange approach Pepiot, Perrine; Desjardins, Olivier Powder Technology, Vol. 220 https://doi.org/10.1016/j.powtec.2011.09.021	journal	April 2012
Wake behind a three-dimensional dry transom stern. Part 1. Flow structure and large-scale air entrainment Hendrickson, Kelli; Weymouth, Gabriel D.; Yu, Xiangming Journal of Fluid Mechanics, Vol. 875 https://doi.org/10.1017/jfm.2019.505	journal	July 2019
Robust single-particle tracking in live-cell time-lapse sequences Jaqaman, Khuloud; Loerke, Dinah; Mettlen, Marcel Nature Methods, Vol. 5, Issue 8 https://doi.org/10.1038/nmeth.1237	journal	July 2008
Fill 'er up! [Graphics filling algorithms] Glassner, A. IEEE Computer Graphics and Applications, Vol. 21, Issue 1 https://doi.org/10.1109/38.895136	journal	January 2001
Bubble Tracking Simulations of Turbulent Two-Phase Flows Fang, Jun; Bolotnov, Igor A. ASME 2016 Fluids Engineering Division Summer Meeting collocated with the ASME 2016 Heat Transfer Summer Conference and the ASME 2016 14th International Conference on Nanochannels, Microchannels, and Minichannels, Volume 1B, Symposia: Fluid Mechanics (Fundamental Issues and Perspectives; Industrial and Environmental Applications); Multiphase Flow and Systems (Multiscale Methods; Noninvasive Measurements; Numerical Methods; Heat Transfer; Performance); Transport Phenomena (Clean Energy; Mixing; Manufacturing and Materials Processing); Turbulent Flows — Issues and Perspectives; Algorithms and Applications for High Performance CFD Computation; Fluid Power; Fluid Dynamics of Wind Energy; Marine Hydrodynamics https://doi.org/10.1115/fedsm2016-1005	conference	December 2016
Sequential Operations in Digital Picture Processing Pfaltz, John L. Journal of the ACM, Vol. 13, Issue 4 https://doi.org/10.1145/321356.321357	journal	October 1966
Aerobreakup of Newtonian and Viscoelastic Liquids Theofanous, T. G. Annual Review of Fluid Mechanics, Vol. 43, Issue 1 https://doi.org/10.1146/annurev-fluid-122109-160638	journal	January 2011
Liquid Jet Instability and Atomization in a Coaxial Gas Stream Lasheras, J. C.; Hopfinger, E. J. Annual Review of Fluid Mechanics, Vol. 32, Issue 1 https://doi.org/10.1146/annurev.fluid.32.1.275	journal	January 2000
Versuch einer mathematischen Theorie der Koagulationskinetik kolloider Lösungen Smoluchowski, M. v. Zeitschrift für Physikalische Chemie, Vol. 92U, Issue 1 https://doi.org/10.1515/zpch-1918-9209	journal	January 1918
Fundamentals of the hydrodynamic mechanism of splitting in dispersion processes Hinze, J. O. AIChE Journal, Vol. 1, Issue 3 https://doi.org/10.1002/aic.690010303	journal	September 1955
Lagrangian tracking of bubbles interacting with pin-fins in a microchannel Honkanen, Markus; Elcock, Daren; Kuo, Chih-Jung Experiments in Fluids, Vol. 50, Issue 6 https://doi.org/10.1007/s00348-010-1007-9	journal	November 2010
Foaming, foam films, antifoaming and defoaming Pugh, R. J. Advances in Colloid and Interface Science, Vol. 64 https://doi.org/10.1016/0001-8686(95)00280-4	journal	February 1996
A review of statistical models for the break-up of an immiscible fluid immersed into a fully developed turbulent flow Lasheras, J. C.; Eastwood, C.; Martı́nez-Bazán, C. International Journal of Multiphase Flow, Vol. 28, Issue 2 https://doi.org/10.1016/S0301-9322(01)00046-5	journal	February 2002
A literature review of theoretical models for drop and bubble breakup in turbulent dispersions Liao, Yixiang; Lucas, Dirk Chemical Engineering Science, Vol. 64, Issue 15 https://doi.org/10.1016/j.ces.2009.04.026	journal	August 2009
The science of foaming Drenckhan, Wiebke; Saint-Jalmes, Arnaud Advances in Colloid and Interface Science, Vol. 222 https://doi.org/10.1016/j.cis.2015.04.001	journal	August 2015
A critical review of the growth, drainage and collapse of foams Wang, Jianlong; Nguyen, Anh V.; Farrokhpay, Saeed Advances in Colloid and Interface Science, Vol. 228 https://doi.org/10.1016/j.cis.2015.11.009	journal	February 2016
Foams: From nature to industry Hill, Christopher; Eastoe, Julian Advances in Colloid and Interface Science, Vol. 247 https://doi.org/10.1016/j.cis.2017.05.013	journal	September 2017
A review of bubble break-up Chu, Pengbo; Finch, James; Bournival, Ghislain Advances in Colloid and Interface Science, Vol. 270 https://doi.org/10.1016/j.cis.2019.05.010	journal	August 2019
Multiscale simulations of primary atomization Tomar, Gaurav; Fuster, Daniel; Zaleski, Stéphane Computers & Fluids, Vol. 39, Issue 10 https://doi.org/10.1016/j.compfluid.2010.06.018	journal	December 2010
A mass-conserving volume-of-fluid method: Volume tracking and droplet surface-tension in incompressible isotropic turbulence Baraldi, A.; Dodd, M. S.; Ferrante, A. Computers & Fluids, Vol. 96 https://doi.org/10.1016/j.compfluid.2013.12.018	journal	June 2014
A parallel volume of fluid-Lagrangian Parcel Tracking coupling procedure for diesel spray modelling Yu, H.; Goldsworthy, L.; Ghiji, M. Computers & Fluids, Vol. 150 https://doi.org/10.1016/j.compfluid.2017.03.027	journal	June 2017
Informed component label algorithm for robust identification of connected components with volume-of-fluid method Hendrickson, Kelli; Weymouth, Gabriel D.; Yue, Dick K. -P. Computers & Fluids, Vol. 197 https://doi.org/10.1016/j.compfluid.2019.104373	journal	January 2020
A robust and accurate technique for Lagrangian tracking of bubbles and detecting fragmentation and coalescence Gao, Qiang; Deane, Grant B.; Liu, Han International Journal of Multiphase Flow, Vol. 135 https://doi.org/10.1016/j.ijmultiphaseflow.2020.103523	journal	February 2021
A parallel Eulerian interface tracking/Lagrangian point particle multi-scale coupling procedure Herrmann, M. Journal of Computational Physics, Vol. 229, Issue 3 https://doi.org/10.1016/j.jcp.2009.10.009	journal	February 2010
A fast pressure-correction method for incompressible two-fluid flows Dodd, Michael S.; Ferrante, Antonino Journal of Computational Physics, Vol. 273 https://doi.org/10.1016/j.jcp.2014.05.024	journal	September 2014
Cell population tracking and lineage construction with spatiotemporal context Li, Kang; Miller, Eric D.; Chen, Mei Medical Image Analysis, Vol. 12, Issue 5 https://doi.org/10.1016/j.media.2008.06.001	journal	October 2008
Bubble tracking analysis of PWR two-phase flow simulations based on the level set method Fang, Jun; Bolotnov, Igor A. Nuclear Engineering and Design, Vol. 323 https://doi.org/10.1016/j.nucengdes.2017.07.034	journal	November 2017
The connected-component labeling problem: A review of state-of-the-art algorithms He, Lifeng; Ren, Xiwei; Gao, Qihang Pattern Recognition, Vol. 70 https://doi.org/10.1016/j.patcog.2017.04.018	journal	October 2017
Tracking in cell and developmental biology Meijering, Erik; Dzyubachyk, Oleh; Smal, Ihor Seminars in Cell & Developmental Biology, Vol. 20, Issue 8 https://doi.org/10.1016/j.semcdb.2009.07.004	journal	October 2009
Breakup time and morphology of drops and bubbles in a high-Reynolds-number flow RodrÍGuez-RodrÍGuez, J.; Gordillo, J. M.; MartÍNez-BazÁN, C. Journal of Fluid Mechanics, Vol. 548, Issue -1 https://doi.org/10.1017/S002211200500741X	journal	February 2006
Considerations on bubble fragmentation models MartÍNez-BazÁN, C.; RodrÍGuez-RodrÍGuez, J.; Deane, G. B. Journal of Fluid Mechanics, Vol. 661 https://doi.org/10.1017/S0022112010003186	journal	October 2010
On the breakup of an air bubble injected into a fully developed turbulent flow. Part 1. Breakup frequency MartÍNez-BazÁN, C.; MontaÑÉS, J. L.; Lasheras, J. C. Journal of Fluid Mechanics, Vol. 401 https://doi.org/10.1017/S0022112099006680	journal	December 1999
On the interaction of Taylor length scale size droplets and isotropic turbulence Dodd, Michael S.; Ferrante, Antonino Journal of Fluid Mechanics, Vol. 806 https://doi.org/10.1017/jfm.2016.550	journal	September 2016
Analysis of Breakage in Dispersed Phase Systems Valentas, K. J.; Bilous, Olegh; Amundson, N. R. Industrial & Engineering Chemistry Fundamentals, Vol. 5, Issue 2 https://doi.org/10.1021/i160018a019	journal	May 1966
Breakage and Coalescence in Dispersed Phase Systems Valentas, K. J.; Amundson, N. R. Industrial & Engineering Chemistry Fundamentals, Vol. 5, Issue 4 https://doi.org/10.1021/i160020a018	journal	November 1966
Bubble Formation and Bubble Rise Velocity in Gas−Liquid Systems: A Review Kulkarni, Amol A.; Joshi, Jyeshtharaj B. Industrial & Engineering Chemistry Research, Vol. 44, Issue 16 https://doi.org/10.1021/ie049131p	journal	August 2005
Spray Combustion and Atomization Williams, F. A. Physics of Fluids, Vol. 1, Issue 6 https://doi.org/10.1063/1.1724379	journal	January 1958
A novel particle tracking and break-up detection algorithm: application to the turbulent break-up of bubbles Rodr guez-Rodr guez, Javier; Mart nez-Baz n., Carlos; Monta es, Jos Luis Measurement Science and Technology, Vol. 14, Issue 8 https://doi.org/10.1088/0957-0233/14/8/319	journal	July 2003
The effect of coalescence in certain collision processes Melzak, Z. Alexander Quarterly of Applied Mathematics, Vol. 11, Issue 2 https://doi.org/10.1090/qam/99980	journal	January 1953
Digital paint systems: an anecdotal and historical overview Smith, A. R. IEEE Annals of the History of Computing, Vol. 23, Issue 2 https://doi.org/10.1109/85.929908	journal	January 2001
SuperPaint: an early frame buffer graphics system Shoup, R. IEEE Annals of the History of Computing, Vol. 23, Issue 2 https://doi.org/10.1109/85.929909	journal	January 2001
Toward animating water with complex acoustic bubbles Langlois, Timothy R.; Zheng, Changxi; James, Doug L. ACM Transactions on Graphics, Vol. 35, Issue 4 https://doi.org/10.1145/2897824.2925904	journal	July 2016
Collisional Aggregation Due to Turbulence Pumir, Alain; Wilkinson, Michael Annual Review of Condensed Matter Physics, Vol. 7, Issue 1 https://doi.org/10.1146/annurev-conmatphys-031115-011538	journal	March 2016
Ocean Spray Veron, Fabrice Annual Review of Fluid Mechanics, Vol. 47, Issue 1 https://doi.org/10.1146/annurev-fluid-010814-014651	journal	January 2015
Growth of Cloud Droplets in a Turbulent Environment Grabowski, Wojciech W.; Wang, Lian-Ping Annual Review of Fluid Mechanics, Vol. 45, Issue 1 https://doi.org/10.1146/annurev-fluid-011212-140750	journal	January 2013
Air-Entrainment Mechanisms in Plunging Jets and Breaking Waves Kiger, Kenneth T.; Duncan, James H. Annual Review of Fluid Mechanics, Vol. 44, Issue 1 https://doi.org/10.1146/annurev-fluid-122109-160724	journal	January 2012
Agitation, Mixing, and Transfers Induced by Bubbles Risso, Frédéric Annual Review of Fluid Mechanics, Vol. 50, Issue 1 https://doi.org/10.1146/annurev-fluid-122316-045003	journal	January 2018
The Role of Surface-Wave Breaking in Air-Sea Interaction Melville, W. K. Annual Review of Fluid Mechanics, Vol. 28, Issue 1 https://doi.org/10.1146/annurev.fl.28.010196.001431	journal	January 1996
Drop and Spray Formation from a Liquid jet Lin, S. P.; Reitz, R. D. Annual Review of Fluid Mechanics, Vol. 30, Issue 1 https://doi.org/10.1146/annurev.fluid.30.1.85	journal	January 1998
S HIP W AKES AND T HEIR R ADAR I MAGES Reed, Arthur M.; Milgram, Jerome H. Annual Review of Fluid Mechanics, Vol. 34, Issue 1 https://doi.org/10.1146/annurev.fluid.34.090101.190252	journal	January 2002
P ARTICLE -T URBULENCE I NTERACTIONS IN A TMOSPHERIC C LOUDS Shaw, Raymond A. Annual Review of Fluid Mechanics, Vol. 35, Issue 1 https://doi.org/10.1146/annurev.fluid.35.101101.161125	journal	January 2003
Fragmentation Villermaux, E. Annual Review of Fluid Mechanics, Vol. 39, Issue 1 https://doi.org/10.1146/annurev.fluid.39.050905.110214	journal	January 2007
Modeling Primary Atomization Gorokhovski, Mikhael; Herrmann, Marcus Annual Review of Fluid Mechanics, Vol. 40, Issue 1 https://doi.org/10.1146/annurev.fluid.40.111406.102200	journal	January 2008
On the Particle-Size Spectrum of Atmospheric Aerosols Friedlander, S. K. Journal of Meteorology, Vol. 17, Issue 3 https://doi.org/10.1175/1520-0469(1960)017<0373:OTPSSO>2.0.CO;2	journal	June 1960
Similarity Considerations for the Particle-Size Spectrum of a Coagulating, Sedimenting Aerosol Friedlander, S. K. Journal of Meteorology, Vol. 17, Issue 5 https://doi.org/10.1175/1520-0469(1960)017<0479:SCFTPS>2.0.CO;2	journal	October 1960
The Connection between Bubble Size Spectra and Energy Dissipation Rates in the Upper Ocean Garrett, Chris; Li, Ming; Farmer, David Journal of Physical Oceanography, Vol. 30, Issue 9 https://doi.org/10.1175/1520-0485(2000)030<2163:TCBBSS>2.0.CO;2	journal	September 2000
On the constitutive equations for fluid particle breakage Solsvik, Jannike; Tangen, Stian; Jakobsen, Hugo A. Reviews in Chemical Engineering, Vol. 29, Issue 5 https://doi.org/10.1515/revce-2013-0009	journal	January 2013
Computational Study of Atomization and fuel drop size Distributions in High-Speed Primary Breakup Bravo, Luis; Kim, D.; Ham, F. Atomization and Sprays, Vol. 28, Issue 4 https://doi.org/10.1615/AtomizSpr.2018018917	journal	January 2018
Extraction of Droplet Genealogies from High-Fidelity Atomization Simulations Rubel, Clark; Owkes, Mark Atomization and Sprays, Vol. 29, Issue 8 https://doi.org/10.1615/AtomizSpr.2020031624	journal	January 2019

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Identifying and tracking bubbles and drops in simulations: A toolbox for obtaining sizes, lineages, and breakup and coalescence statistics

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