IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i5p1901-d764560.html
   My bibliography  Save this article

Numerical Simulation of Erosion Wear for Continuous Elbows in Different Directions

Author

Listed:
  • Bingcheng Li

    (MOE Key Laboratory of Thermo-Fluid Science and Engineering, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Min Zeng

    (MOE Key Laboratory of Thermo-Fluid Science and Engineering, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Qiuwang Wang

    (MOE Key Laboratory of Thermo-Fluid Science and Engineering, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

Abstract

The purpose of the present study is to simulate the continuous bend erosion process in different directions, using the dense discrete particle model (DDPM). The influence of the length of the straight pipe in the middle of the continuous bend is investigated. The Rosin–Rammler method is introduced to define the diameter distribution of erosion particles, which is theoretically closer to the actual engineering erosion situation. The numerical model is based on the Euler–Lagrange method, in which the continuous phase and the particle phase are established on a fixed Euler grid. The Lagrange model is used to track the particles, and the interaction between particles is simulated by particle flow mechanics theory. The velocity field distribution, pressure variation, and turbulent kinetic energy of gas–solid two-phase flow, composed of natural gas and gravel in the pipeline, are studied. The simulation results, using the one-way coupled DPM and the four-way coupled DDPM, are compared and analyzed. The results show that the DDPM has good accuracy in predicting the distribution of the continuous bend erosion processes in different directions. The erosion rates of particles with an average distribution size of 50 μm are significantly increased (8.32 times), compared with that of 10 μm, at the same gas transmission rate. It is also indicated that it is important to consider the impact between particles and the coupling between fluid and particles in the erosion simulation of the continuous elbow when using the CFD method.

Suggested Citation

  • Bingcheng Li & Min Zeng & Qiuwang Wang, 2022. "Numerical Simulation of Erosion Wear for Continuous Elbows in Different Directions," Energies, MDPI, vol. 15(5), pages 1-22, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:5:p:1901-:d:764560
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/5/1901/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/5/1901/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bingyuan Hong & Xiaoping Li & Yanbo Li & Yu Li & Yafeng Yu & Yumo Wang & Jing Gong & Dihui Ai, 2021. "Numerical Simulation of Elbow Erosion in Shale Gas Fields under Gas-Solid Two-Phase Flow," Energies, MDPI, vol. 14(13), pages 1-15, June.
    2. Jingyuan Xu & Zhanghua Lian & Jian Hu & Min Luo, 2018. "Prediction of the Maximum Erosion Rate of Gas–Solid Two-Phase Flow Pipelines," Energies, MDPI, vol. 11(10), pages 1-22, October.
    3. Hesham M. Ibrahim & Mohammed Awad & Abdullah S. Al-Farraj & Ali M. Al-Turki, 2019. "Effect of Flow Rate and Particle Concentration on the Transport and Deposition of Bare and Stabilized Zero-Valent Iron Nanoparticles in Sandy Soil," Sustainability, MDPI, vol. 11(23), pages 1-13, November.
    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. Yao, Liming & Liu, Yuxi & Xiao, Zhongmin & Chen, Yang, 2023. "An algorithm combining sedimentation experiments for pipe erosion investigation," Energy, Elsevier, vol. 270(C).
    2. Magdalena Tutak & Jarosław Brodny & Antoni John & Janos Száva & Sorin Vlase & Maria Luminita Scutaru, 2022. "CFD Model Studies of Dust Dispersion in Driven Dog Headings," Mathematics, MDPI, vol. 10(20), pages 1-12, October.
    3. Qi Wang & Chao Sun & Yuelin Li & Yuechan Liu, 2022. "Numerical Simulation of Erosion Characteristics and Residual Life Prediction of Defective Pipelines Based on Extreme Learning Machine," Energies, MDPI, vol. 15(10), pages 1-18, May.
    4. Binqi Zhang & Jingen Deng & Hai Lin & Jie Xu & Guiping Wang & Wei Yan & Kongyang Wang & Fuli Li, 2023. "Study on Erosion Model Optimization and Damage Law of Coiled Tubing," Energies, MDPI, vol. 16(6), pages 1-18, March.

    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. Bingyuan Hong & Xiaoping Li & Yanbo Li & Yu Li & Yafeng Yu & Yumo Wang & Jing Gong & Dihui Ai, 2021. "Numerical Simulation of Elbow Erosion in Shale Gas Fields under Gas-Solid Two-Phase Flow," Energies, MDPI, vol. 14(13), pages 1-15, June.
    2. Bingyuan Hong & Yanbo Li & Xiaoping Li & Shuaipeng Ji & Yafeng Yu & Di Fan & Yating Qian & Jian Guo & Jing Gong, 2021. "Numerical Simulation of Gas-Solid Two-Phase Erosion for Elbow and Tee Pipe in Gas Field," Energies, MDPI, vol. 14(20), pages 1-18, October.
    3. Yao, Liming & Liu, Yuxi & Xiao, Zhongmin & Chen, Yang, 2023. "An algorithm combining sedimentation experiments for pipe erosion investigation," Energy, Elsevier, vol. 270(C).
    4. Ying Liu & Daryoush Habibi & Douglas Chai & Xiuming Wang & Hao Chen, 2019. "A Numerical Study of Axisymmetric Wave Propagation in Buried Fluid-Filled Pipes for Optimizing the Vibro-Acoustic Technique When Locating Gas Pipelines," Energies, MDPI, vol. 12(19), pages 1-17, September.

    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:5:p:1901-:d:764560. 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.