IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v406y2014icp307-319.html
   My bibliography  Save this article

Multiphase flow modeling of spinodal decomposition based on the cascaded lattice Boltzmann method

Author

Listed:
  • Leclaire, Sébastien
  • Pellerin, Nicolas
  • Reggio, Marcelo
  • Trépanier, Jean-Yves

Abstract

A new multiphase lattice Boltzmann model based on the cascaded collision operator is developed to study the spinodal decomposition of critical quenches in the inertial hydrodynamic regime. The proposed lattice Boltzmann model is able to investigate simulations of multiphase spinodal decomposition with a very high Reynolds number. The law governing the growth of the average domain size, i.e. L∝tα, is studied numerically in the late-time regime, when multiple immiscible fluids are considered in the spinodal decomposition. It is found numerically that the growth exponent, α, is inversely proportional to the number, N, of immiscible fluids in the system. In fact, α=6/(N+7) is a simple law that matches the numerical results very well, even up to N=20. As the number of immiscible fluids increases, the corresponding drop in the connectivity of the various fluid domains is believed to be the main factor that drives and slows down the growth rate. Various videos that accurately demonstrate spinodal decomposition with different transport mechanisms are provided (see Appendix A). The remarks and statement made in this research are based on the analysis of 5120 numerical simulations and the postprocessing of about 3.5 TB of data.

Suggested Citation

  • Leclaire, Sébastien & Pellerin, Nicolas & Reggio, Marcelo & Trépanier, Jean-Yves, 2014. "Multiphase flow modeling of spinodal decomposition based on the cascaded lattice Boltzmann method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 406(C), pages 307-319.
  • Handle: RePEc:eee:phsmap:v:406:y:2014:i:c:p:307-319
    DOI: 10.1016/j.physa.2014.03.033
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437114002283
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2014.03.033?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Teja Tscharntke & Michael E Hochberg & Tatyana A Rand & Vincent H Resh & Jochen Krauss, 2007. "Author Sequence and Credit for Contributions in Multiauthored Publications," PLOS Biology, Public Library of Science, vol. 5(1), pages 1-2, January.
    2. Bray, A.J., 1993. "Theory of phase ordering kinetics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 194(1), pages 41-52.
    3. Keir E. Novik & Peter V. Coveney, 1997. "Using Dissipative Particle Dynamics to Model Binary Immiscible Fluids," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 8(04), pages 909-918.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sébastien Leclaire & Andrea Parmigiani & Bastien Chopard & Jonas Latt, 2017. "Three-dimensional lattice Boltzmann method benchmarks between color-gradient and pseudo-potential immiscible multi-component models," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 28(07), pages 1-30, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. M. Teresa Antonio-García & Irene López-Navarro & Jesús Rey-Rocha, 2014. "Determinants of success for biomedical researchers: a perception-based study in a health science research environment," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1747-1779, December.
    2. Ash Mohammad Abbas, 2011. "Weighted indices for evaluating the quality of research with multiple authorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 107-131, July.
    3. Rodrigo Costas & María Bordons, 2011. "Do age and professional rank influence the order of authorship in scientific publications? Some evidence from a micro-level perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 145-161, July.
    4. Vicenç Hernández-González & Josep Maria Carné-Torrent & Carme Jové-Deltell & Álvaro Pano-Rodríguez & Joaquin Reverter-Masia, 2022. "The Top 100 Most Cited Scientific Papers in the Public, Environmental & Occupational Health Category of Web of Science: A Bibliometric and Visualized Analysis," IJERPH, MDPI, vol. 19(15), pages 1-24, August.
    5. Toluwase Asubiaro, 2019. "How collaboration type, publication place, funding and author’s role affect citations received by publications from Africa: A bibliometric study of LIS research from 1996 to 2015," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1261-1287, September.
    6. Myrto-Panagiota Zacharof & Anna Charalambidou, 2018. "An Exploration of the Sub-Register of Chemical Engineering Research Papers Published in English," Publications, MDPI, vol. 6(3), pages 1-19, July.
    7. Zhai, Li & Yan, Xiangbin, 2022. "A directed collaboration network for exploring the order of scientific collaboration," Journal of Informetrics, Elsevier, vol. 16(4).
    8. Rahman, Mohammad Tariqur & Regenstein, Joe Mac & Kassim, Noor Lide Abu & Haque, Nazmul, 2017. "The need to quantify authors’ relative intellectual contributions in a multi-author paper," Journal of Informetrics, Elsevier, vol. 11(1), pages 275-281.
    9. María Bordons & Borja González-Albo & Luz Moreno-Solano, 2023. "Improving our understanding of open access: how it relates to funding, internationality of research and scientific leadership," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4651-4676, August.
    10. Dragan Ivanović & Hui-Zhen Fu & Yuh-Shan Ho, 2015. "Publications from Serbia in the Science Citation Index Expanded: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 145-160, October.
    11. Christopher Zou & Jordan B. Peterson, 2016. "Quantifying the scientific output of new researchers using the zp-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 901-916, March.
    12. Gita Ghiasi & Matthew Harsh & Andrea Schiffauerova, 2018. "Inequality and collaboration patterns in Canadian nanotechnology: implications for pro-poor and gender-inclusive policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 785-815, May.
    13. Xuan Zhen Liu & Hui Fang, 2014. "Scientific group leaders’ authorship preferences: an empirical investigation," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 909-925, February.
    14. Du Jian & Tang Xiaoli, 2013. "Perceptions of author order versus contribution among researchers with different professional ranks and the potential of harmonic counts for encouraging ethical co-authorship practices," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 277-295, July.
    15. Omar Mubin & Abdullah Al Mahmud & Muneeb Ahmad, 2017. "HCI down under: reflecting on a decade of the OzCHI conference," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 367-382, July.
    16. Corrêa Jr., Edilson A. & Silva, Filipi N. & da F. Costa, Luciano & Amancio, Diego R., 2017. "Patterns of authors contribution in scientific manuscripts," Journal of Informetrics, Elsevier, vol. 11(2), pages 498-510.
    17. Xiancheng Li & Luca Verginer & Massimo Riccaboni & P. Panzarasa, 2022. "A network approach to expertise retrieval based on path similarity and credit allocation," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 501-533, April.
    18. Mike Thelwall & Tamara Nevill, 2019. "No evidence of citation bias as a determinant of STEM gender disparities in US biochemistry, genetics and molecular biology research," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1793-1801, December.
    19. Anna Tietze & Philip Hofmann, 2019. "The h-index and multi-author hm-index for individual researchers in condensed matter physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 171-185, April.
    20. Edson Melo Souza & Jose Eduardo Storopoli & Wonder Alexandre Luz Alves, 2022. "Scientific Contribution List Categories Investigation: a comparison between three mainstream medical journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2249-2276, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:406:y:2014:i:c:p:307-319. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.