IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i17p6345-d902365.html
   My bibliography  Save this article

Theoretical Prediction on Hydraulic Lift of a Coandă Effect-Based Mining Collector for Manganese Nodule

Author

Listed:
  • Hao Jia

    (Key Laboratory of Fluid Transmission Technology of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Jian Yang

    (Key Laboratory of Fluid Transmission Technology of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Xianghui Su

    (Key Laboratory of Fluid Transmission Technology of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Qiu Xia

    (Key Laboratory of Fluid Transmission Technology of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Kexin Wu

    (Key Laboratory of Fluid Transmission Technology of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou 310018, China)

Abstract

The undersea collecting vehicle is one of the three main parts in the deep-sea exploitation system. The Coandă effect-based collector picks up manganese nodules by providing an adverse pressure difference over the nodule, through the jet flowing around a curved wall. In order to overcome the drawbacks of repeated prototyping and experimenting in the traditional design procedure of the Coandă effect-based collector, the theoretical guide should be well placed to ensure correct design of the strongly related parameters of the collector. In this paper, a simplified model of curved wall jets was developed and the solution of approximate closed form was obtained to predict the lift force of the nodules. The variational tendencies of velocity, pressure and single-particle lift index perpendicular to the curved wall were investigated and the Coandă effects were found to be stronger with higher initial velocity, higher non-dimensional jet slot height and lower non-dimensional wall height. A CFD-DEM simulation of a number of particles was additionally performed to give more insight into the predictive accuracy of the simplified theory. Target lift force was found to be related to high efficiency in collection of particles, resulting in certain predictability of the theoretical model to the nodule lifting in a pre-prototype hydraulic device based on the Coandă effect.

Suggested Citation

  • Hao Jia & Jian Yang & Xianghui Su & Qiu Xia & Kexin Wu, 2022. "Theoretical Prediction on Hydraulic Lift of a Coandă Effect-Based Mining Collector for Manganese Nodule," Energies, MDPI, vol. 15(17), pages 1-12, August.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6345-:d:902365
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/17/6345/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/17/6345/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xianghui Su & Zhenji Tang & Yi Li & Zuchao Zhu & Kamila Mianowicz & Peter Balaz, 2020. "Research of Particle Motion in a Two-Stage Slurry Transport Pump for Deep-Ocean Mining by the CFD-DEM Method," Energies, MDPI, vol. 13(24), pages 1-19, December.
    2. Guocheng Zhao & Longfei Xiao & Tao Peng & Mingyuan Zhang, 2018. "Experimental Research on Hydraulic Collecting Spherical Particles in Deep Sea Mining," Energies, MDPI, vol. 11(8), pages 1-19, July.
    Full references (including those not matched with items on IDEAS)

    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. Dmitry Eskin, 2022. "On CFD-Assisted Research and Design in Engineering," Energies, MDPI, vol. 15(23), pages 1-3, December.

    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:17:p:6345-:d:902365. 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.