IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i13p3360-d378868.html
   My bibliography  Save this article

Large-Eddy Simulation of ECN Spray A: Sensitivity Study on Modeling Assumptions

Author

Listed:
  • Mahmoud Gadalla

    (Department of Mechanical Engineering, School of Engineering, Aalto University, Otakaari 4, 02150 Espoo, Finland)

  • Jeevananthan Kannan

    (Department of Mechanical Engineering, School of Engineering, Aalto University, Otakaari 4, 02150 Espoo, Finland)

  • Bulut Tekgül

    (Department of Mechanical Engineering, School of Engineering, Aalto University, Otakaari 4, 02150 Espoo, Finland)

  • Shervin Karimkashi

    (Department of Mechanical Engineering, School of Engineering, Aalto University, Otakaari 4, 02150 Espoo, Finland)

  • Ossi Kaario

    (Department of Mechanical Engineering, School of Engineering, Aalto University, Otakaari 4, 02150 Espoo, Finland)

  • Ville Vuorinen

    (Department of Mechanical Engineering, School of Engineering, Aalto University, Otakaari 4, 02150 Espoo, Finland)

Abstract

In this study, various mixing and evaporation modeling assumptions typically considered for large-eddy simulation (LES) of the well-established Engine Combustion Network (ECN) Spray A are explored. A coupling between LES and Lagrangian particle tracking (LPT) is employed to simulate liquid n -dodecane spray injection into hot inert gaseous environment, wherein Lagrangian droplets are introduced from a small cylindrical injection volume while larger length scales within the nozzle diameter are resolved. This LES/LPT approach involves various modeling assumptions concerning the unresolved near-nozzle region, droplet breakup, and LES subgrid scales (SGS) in which their impact on common spray metrics is usually left unexplored despite frequent utilization. Here, multi-parametric analysis is performed on the effects of (i) cylindrical injection volume dimensions, (ii) secondary breakup model, particularly Kelvin–Helmholtz Rayleigh–Taylor (KHRT) against a no-breakup model approach, and (iii) LES SGS models, particularly Smagorinsky and one-equation models against implicit LES. The analysis indicates the following findings: (i) global spray characteristics are sensitive to radial dimension of the cylindrical injection volume, (ii) the no-breakup model approach performs equally well, in terms of spray penetration and mixture formation, compared with KHRT, and (iii) the no-breakup model is generally insensitive to the chosen SGS model for the utilized grid resolution.

Suggested Citation

  • Mahmoud Gadalla & Jeevananthan Kannan & Bulut Tekgül & Shervin Karimkashi & Ossi Kaario & Ville Vuorinen, 2020. "Large-Eddy Simulation of ECN Spray A: Sensitivity Study on Modeling Assumptions," Energies, MDPI, vol. 13(13), pages 1-24, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:13:p:3360-:d:378868
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/13/3360/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/13/3360/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Junji Shinjo, 2018. "Recent Advances in Computational Modeling of Primary Atomization of Liquid Fuel Sprays," Energies, MDPI, vol. 11(11), pages 1-25, November.
    2. Kaario, Ossi Tapani & Vuorinen, Ville & Zhu, Lei & Larmi, Martti & Liu, Ronghou, 2017. "Mixing and evaporation analysis of a high-pressure SCR system using a hybrid LES-RANS approach," Energy, Elsevier, vol. 120(C), pages 827-841.
    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. Guodong Gai & Abdellah Hadjadj & Sergey Kudriakov & Stephane Mimouni & Olivier Thomine, 2021. "Numerical Study of Spray-Induced Turbulence Using Industrial Fire-Mitigation Nozzles," Energies, MDPI, vol. 14(4), pages 1-20, February.
    2. Robert Keser & Alberto Ceschin & Michele Battistoni & Hong G. Im & Hrvoje Jasak, 2020. "Development of a Eulerian Multi-Fluid Solver for Dense Spray Applications in OpenFOAM," Energies, MDPI, vol. 13(18), pages 1-18, September.

    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. Krystian Czernek & Michał Hyrycz & Andżelika Krupińska & Magdalena Matuszak & Marek Ochowiak & Stanisław Witczak & Sylwia Włodarczak, 2021. "State-of-the-Art Review of Effervescent-Swirl Atomizers," Energies, MDPI, vol. 14(10), pages 1-30, May.
    2. Giovanni Di Ilio & Vesselin K. Krastev & Giacomo Falcucci, 2019. "Evaluation of a Scale-Resolving Methodology for the Multidimensional Simulation of GDI Sprays," Energies, MDPI, vol. 12(14), pages 1-13, July.
    3. Kaushal Nishad & Marcus Stein & Florian Ries & Viatcheslav Bykov & Ulrich Maas & Olaf Deutschmann & Johannes Janicka & Amsini Sadiki, 2019. "Thermal Decomposition of a Single AdBlue ® Droplet Including Wall–Film Formation in Turbulent Cross-Flow in an SCR System," Energies, MDPI, vol. 12(13), pages 1-25, July.
    4. Kapusta, Łukasz Jan, 2022. "Understanding the collapse of flash-boiling sprays formed by multi-hole injectors operating at low injection pressures," Energy, Elsevier, vol. 247(C).
    5. Robert Keser & Alberto Ceschin & Michele Battistoni & Hong G. Im & Hrvoje Jasak, 2020. "Development of a Eulerian Multi-Fluid Solver for Dense Spray Applications in OpenFOAM," Energies, MDPI, vol. 13(18), pages 1-18, September.
    6. Rogóż, Rafał & Kapusta, Łukasz Jan & Bachanek, Jakub & Vankan, Joseph & Teodorczyk, Andrzej, 2020. "Improved urea-water solution spray model for simulations of selective catalytic reduction systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).

    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:gam:jeners:v:13:y:2020:i:13:p:3360-:d:378868. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.