Cluster Computing

, Volume 22, Supplement 2, pp 4917–4925 | Cite as

Discrete element analysis of particles flow in convex arc section of large corrugated sidewall belt conveyor

  • Hao ShiEmail author
  • Yan Yu


Convex arcs plays a key role in a large corrugated sidewall belt conveyor, which determines the large-capacity, high belt speed can smooth transportation, do not throw material. In order to study the convex arc section of corrugated sidewall belt conveyor conveying the material properties of the particle stream dynamics and logistics particle effects on the conveyor belt to the discrete element theory, by using a nonlinear Hertz Mindlin model built with corrugated sidewall belt conveyor discrete element model machine. The movement of materials with different speed is simulated; The average pressure and the maximum pressure of the base belt and the transverse plate of the corrugated sidewall conveyor belt under different conveyor belt speed were tested, and the average conveyor belt speed of rolling friction coefficient under three different particles were tested; Uniform acceleration of movement of the material flow when turning. Simulation results show that: With the increase of belt speed, the average pressure of corrugated sidewall conveyor increases nonlinearly, and gradually increases with the increase of velocity. The average velocity of the particle unit has nothing to do with the rolling friction coefficient.


Corrugated sidewall belt Discrete element method Simulation analysis 



This work is supported by the State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and the ministry of Science and Technology(china,MDPC2016ZR05).We gratefully acknowledge the supports.

Compliance with ethical standards

Conflict of interests

The authors declare that there is no conflict of interests regarding the publication of this paper.


  1. 1.
    Cundall, P.A.: Computer model for simulating progressive large scale movements in blocky system. Muller Led. Proc. Symp. Int. Soc. Rock Mech. 1, 8–12 (1971)Google Scholar
  2. 2.
    Cundall, P.A., Strack, O.D.L.: The Distinct Element Method as a Tool for Research in Granular Media: Part IIReport to the National Science Foundation. University of Minnesota, Minnesota (1979)Google Scholar
  3. 3.
    Strack, O.D.L., Cundall, P.A.: The Distinct Element Method as a Tool for Research in Granular Media: PartIReport to National Science Foundation. University of Minnesota, Minnesota (1978)Google Scholar
  4. 4.
    Cundall, P.A., Fairhurst, C.: Correlation of numerical and physical models-an approach to the estimation of rock mass behaviour. Comput. Geotech. 3(1), 62–69 (1987)Google Scholar
  5. 5.
    Starfield, A.M., Cundall, P.A.:Towards a methodology for rock mechanics model. Int. J. Rock Mech. Mining Sci. Geomech. Abstr. 25(3), 99-106 (1988)Google Scholar
  6. 6.
    Alspaugh, M., Dewicki, G., Quesenberry, E.: Computer simulation solves conveyor problems. Coal Age 1, 28–31 (2002)Google Scholar
  7. 7.
    Kremmer, M., Favier, J.F.: A method for representing boundaries in discrete element modeling- part I: geometry and contact detection. Int. J. Numer. Methods Eng. 51(12), 1407–1421 (2001)Google Scholar
  8. 8.
    Su, J., Gu, Z., Xu, X.Y.: Discrete element simulation of particle flow in arbitrarily complex geometries. Chem. Eng. Sci. 66(23), 6069–6088 (2011)Google Scholar
  9. 9.
    Morton, D., Dunstall, S.: Using the web to increase the availability of DEM-based mill model. Miner. Eng. 17(11), 1199–1207 (2004)Google Scholar
  10. 10.
    DEM-Solution software and technical consulting company website.
  11. 11.
    Gyenis, J.: Motionless mixers in bulk solids treatments-a review. Kona Powder Part. J. 20, 9–23 (2002)Google Scholar
  12. 12.
    Fernandez, J.W., Cleary, P.W., McBride, W.: Effect of screw design on hopper drawdown of spherical particles in a horizontal screw feeder. Chem. Eng. Sci. 66(22), 5585–5601 (2011)Google Scholar
  13. 13.
    Shimizu, Y.: Numerical simulations of bulk handling in screw conveyors by three-dimensional DEM, Massmin 2000, Proceedings, 887-892 (2000)Google Scholar
  14. 14.
    Owen, P.J., Cleary, P.W.: Prediction of screw conveyor performance using the discrete element method (DEM). Powder Technol. 193(3), 274–288 (2009)Google Scholar
  15. 15.
    Hamza, R., Muhammad, K., Nachiappan, A., González, G.R.: Hash based Encryption for keyframes of diagnostic hysteroscopy. IEEE Access (2017). Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of Mechanical and Electronic EngineeringShandong University of Science and TechnologyQingdaoChina
  2. 2.Transportation and Upgrading LaboratoryQingdaoChina

Personalised recommendations