IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i6p2187-d772975.html
   My bibliography  Save this article

Experimental Analysis of Flow Boiling in Horizontal Annulus—The Effect of Heat Flux on Bubble Size Distributions

Author

Listed:
  • Boštjan Zajec

    (Reactor Engineering Division, Jožef Stefan Institute, Jamova cesta 39, SI-1000 Ljubljana, Slovenia
    Faculty of Mathematics and Physics, University of Ljubljana, Jadranska ulica 19, SI-1000 Ljubljana, Slovenia)

  • Leon Cizelj

    (Reactor Engineering Division, Jožef Stefan Institute, Jamova cesta 39, SI-1000 Ljubljana, Slovenia
    Faculty of Mathematics and Physics, University of Ljubljana, Jadranska ulica 19, SI-1000 Ljubljana, Slovenia)

  • Boštjan Končar

    (Reactor Engineering Division, Jožef Stefan Institute, Jamova cesta 39, SI-1000 Ljubljana, Slovenia
    Faculty of Mathematics and Physics, University of Ljubljana, Jadranska ulica 19, SI-1000 Ljubljana, Slovenia)

Abstract

Subcooled flow boiling was experimentally investigated in a horizontal annulus with a temperature-controlled boiling surface and transparent outer pipe facilitating visualization. Boiling occurs on a copper tube with a diameter of 12 mm in an annulus with a 2 mm gap. Refrigerant R245fa is used as a working fluid. The focus of this study is to explore the effect of heat flux variation on the boiling flow patterns at approximately constant inlet flow conditions of the working fluid (fixed mass flux and inlet fluid temperature). Subcooled flow boiling is recorded by a high-speed camera, images are analyzed by a neural network to determine the bubble size distributions and their variation with the heat flux. The experimental setup being a part of the laboratory THELMA (Thermal Hydraulics experimental Laboratory for Multiphase Applications) at the Reactor Engineering Division of Jožef Stefan Institute, analysis methods and measurement results are presented and discussed.

Suggested Citation

  • Boštjan Zajec & Leon Cizelj & Boštjan Končar, 2022. "Experimental Analysis of Flow Boiling in Horizontal Annulus—The Effect of Heat Flux on Bubble Size Distributions," Energies, MDPI, vol. 15(6), pages 1-12, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:6:p:2187-:d:772975
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/6/2187/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/6/2187/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhexuan Xu & Junhong Zhang & Jiewei Lin & Tianshu Xu & Jingchao Wang & Zefeng Lin, 2018. "An Overall Bubble Diameter Model for the Flow Boiling and Numerical Analysis through Global Information Searching," Energies, MDPI, vol. 11(5), pages 1-20, May.
    2. Sina Yan & Shuaihui Sun & Xingqi Luo & Senlin Chen & Chenhao Li & Jianjun Feng, 2020. "Numerical Investigation on Bubble Distribution of a Multistage Centrifugal Pump Based on a Population Balance Model," Energies, MDPI, vol. 13(4), pages 1-15, February.
    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. Bin Yang & Xin Zhu & Boan Wei & Minzhang Liu & Yifan Li & Zhihan Lv & Faming Wang, 2023. "Computer Vision and Machine Learning Methods for Heat Transfer and Fluid Flow in Complex Structural Microchannels: A Review," Energies, MDPI, vol. 16(3), pages 1-24, February.

    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. Giuseppe Starace & Lorenzo Carrieri & Gianpiero Colangelo, 2020. "Semi-Analytical Model for Heat and Mass Transfer Evaluation of Vapor Bubbling," Energies, MDPI, vol. 13(5), pages 1-17, March.
    2. Fan Zhang & Lufeng Zhu & Ke Chen & Weicheng Yan & Desmond Appiah & Bo Hu, 2020. "Numerical Simulation of Gas–Liquid Two-Phase Flow Characteristics of Centrifugal Pump Based on the CFD–PBM," Mathematics, MDPI, vol. 8(5), pages 1-19, May.
    3. Shuaihui Sun & Pei Ren & Pengcheng Guo & Longgang Sun & Xiaobo Zheng, 2022. "Influence of the Gas Model on the Performance and Flow Field Prediction of a Gas–Liquid Two-Phase Hydraulic Turbine," Energies, MDPI, vol. 15(17), pages 1-18, August.
    4. Michalis Mentzos & Ioannis Kassanos & Ioannis Anagnostopoulos & Andronikos Filios, 2024. "The Effect of Blade Angle Distribution on the Flow Field of a Centrifugal Impeller in Liquid-Gas Flow," Energies, MDPI, vol. 17(16), pages 1-22, August.
    5. Hang, Jianwei & Bai, Ling & Zhou, Ling & Jiang, Lei & Shi, Weidong & Agarwal, Ramesh, 2022. "Inter-stage energy characteristics of electrical submersible pump under gassy conditions," Energy, Elsevier, vol. 256(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:15:y:2022:i:6:p:2187-:d:772975. 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.