Discrete Element Analysis of Friction Coefficient on Granular Accumulation

Abstract:

Discrete element method (DEM) is applied to study the granular accumulation problem. Using Herz-Mindlin (no slip) model to simulate particles and container model is also established by software. When the container elevates, the process of granular falling and collision can be ob-served. Detailed analysis of that the impact of static and rolling friction coefficient for particles - particles, particles - flat on angle of repose is accomplished. The variation law is also further val-idated from the energy point of view. The results show that rolling friction has a greater impact on angle of repose than static friction, and rolling friction coefficient among particles play the more prominent role in the two kinds of rolling friction. The research method and results provide a the-oretical reference for the granular movement and DEM analysis.

• Periodical: Advanced Engineering Forum (Volumes 2-3)
• Pages: 894-899
• DOI: https://doi.org/10.4028/www.scientific.net/AEF.2-3.894
• Online since: December 2011
• Authors: Qin Liang Li, Bin Zhao, Bo Wang, Bang Chun Wen
• Keywords: Angle of Repose, DEM, Friction Coefficient (FC), Granular Accumulation

References

[1] Y. Grasselli, H.J. Hermann. On the angles of dry granular heaps. Physica A, (1997).

[2] Y.C. Zhou, B.H. Xu, A.B. Yu, P. Zulli. An experimental and numerical study of the angle of repose of coarse spheres. Powder Technology, (2002).

DOI: 10.1016/s0032-5910(01)00520-4

[3] Li Yanjie, Xu yong, C. Thornton. A comparison of discrete element simulations and experiments for sandpiles, composed of spherical particles. Powder Technology, (2005).

DOI: 10.1016/j.powtec.2005.09.002

[4] Wang Yong Jia, Xing Jibo. Discrete element method and its application in rock mechanics. Liaoning: Northeast University Press, (1991).

[5] Y. Grasselli, H.J. Herrmann. Shapes of heaps and in silos. European Physical Journal B, (1999).

[6] Zlobecki, J. Frczek, J. Zemanek. Assessment of angle of repose of granular plant material using computer image analysis. Journal of Food Engineering, (2007).

DOI: 10.1016/j.jfoodeng.2006.11.028

[7] DEM Solutions. EDEM2. 2. 1 programming guide, (2010).