IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i7p1841-d343940.html
   My bibliography  Save this article

Discrete Element Method Investigation of Binary Granular Flows with Different Particle Shapes

Author

Listed:
  • Yi Liu

    (Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, China)

  • Zhaosheng Yu

    (Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, China)

  • Jiecheng Yang

    (Department of Chemical Engineering, University of California Davis, Davis, CA 95616, USA)

  • Carl Wassgren

    (School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA)

  • Jennifer Sinclair Curtis

    (Department of Chemical Engineering, University of California Davis, Davis, CA 95616, USA)

  • Yu Guo

    (Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, China)

Abstract

The effects of particle shape differences on binary mixture shear flows are investigated using the Discrete Element Method (DEM). The binary mixtures consist of frictionless rods and disks, which have the same volume but significantly different shapes. In the shear flows, stacking structures of rods and disks are formed. The effects of the composition of the mixture on the stacking are examined. It is found that the number fraction of stacking particles is smaller for the mixtures than for the monodisperse rods and disks. For binary mixtures with small particle shape differences, the mixture stresses are bounded by the stresses of the two corresponding monodisperse systems. However, for binary mixtures with large particle shape differences, the stresses of the mixtures can be larger than the stresses of the monodisperse systems at large solid volume fractions because larger differences in particle shape cause geometrical interference in packing, leading to stronger particle–particle interactions in the flow. The stresses in dense binary mixtures are found to be exponential functions of the order parameter, which is a measure of particle alignment. Based on the simulation results, an empirical expression for the bulk friction coefficient (ratio of the shear stress to normal stress) for dense binary flows is proposed by accounting for the effects of particle alignment and solid volume fraction.

Suggested Citation

  • Yi Liu & Zhaosheng Yu & Jiecheng Yang & Carl Wassgren & Jennifer Sinclair Curtis & Yu Guo, 2020. "Discrete Element Method Investigation of Binary Granular Flows with Different Particle Shapes," Energies, MDPI, vol. 13(7), pages 1-25, April.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1841-:d:343940
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/7/1841/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/7/1841/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pierre Jop & Yoël Forterre & Olivier Pouliquen, 2006. "A constitutive law for dense granular flows," Nature, Nature, vol. 441(7094), pages 727-730, June.
    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. Baoping Gong & Hao Cheng & Juemin Yan & Long Wang & Yongjin Feng & Xiaoyu Wang, 2023. "Effects of the Aspect Ratio and Cross-Sectional Area of Rectangular Tubes on Packing Characteristics of Mono-Sized Pebble Beds," Energies, MDPI, vol. 16(1), pages 1-24, January.
    2. Qiyue Xie & Caifengyao Zhong & Daifei Liu & Qiang Fu & Xiaoli Wang & Zhongli Shen, 2020. "Operation Analysis of a SAG Mill under Different Conditions Based on DEM and Breakage Energy Method," Energies, MDPI, vol. 13(20), pages 1-13, October.

    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. Khattri, Khim B. & Pudasaini, Shiva P., 2019. "Channel flow simulation of a mixture with a full-dimensional generalized quasi two-phase model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 165(C), pages 280-305.
    2. Junnan Zhao & Xinyao Guo & Guodong Liu & Rui Wang & Huilin Lu, 2022. "A Review of the Continuum Theory-Based Stress and Drag Models in Gas-Solid Flows," Energies, MDPI, vol. 16(1), pages 1-22, December.
    3. Samuel R. Wilson-Whitford & Jinghui Gao & Maria Chiara Roffin & William E. Buckley & James F. Gilchrist, 2023. "Microrollers flow uphill as granular media," Nature Communications, Nature, vol. 14(1), pages 1-6, December.
    4. Gianluca Martelloni & Franco Bagnoli, 2014. "Infiltration effects on a two-dimensional molecular dynamics model of landslides," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(1), pages 37-62, August.
    5. Matthias Rauter & Sylvain Viroulet & Sigríður Sif Gylfadóttir & Wolfgang Fellin & Finn Løvholt, 2022. "Granular porous landslide tsunami modelling – the 2014 Lake Askja flank collapse," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    6. Mohammad Omidi & Shu-Jie Liu & Soheil Mohtaram & Hui-Tian Lu & Hong-Chao Zhang, 2019. "Improving Centrifugal Compressor Performance by Optimizing the Design of Impellers Using Genetic Algorithm and Computational Fluid Dynamics Methods," Sustainability, MDPI, vol. 11(19), pages 1-18, September.
    7. Juan Reyes, 2012. "Optimization of mixed variational inequalities arising in flow of viscoplastic materials," Computational Optimization and Applications, Springer, vol. 52(3), pages 757-784, July.
    8. Lhuillier, Daniel, 2007. "Constitutive relations for steady flows of dense granular liquids," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 383(2), pages 267-275.
    9. Rui Li & Yuliang Teng, 2022. "An improved DebrisInterMixingFoam for debris flow simulation: numerical investigation and application," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(3), pages 1925-1947, 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:13:y:2020:i:7:p:1841-:d:343940. 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.