Projects per year
Abstract
Design of bulk solid storage vessels requires the knowledge of wall stress distribution in static and moving beds of granular materials. Most previous studies have shown that for spheres, side wall stress developed in hoppers increases with the distance from the top surface but there is hardly any limited value. Theoretically, the wall stress profile can be predicted by Jessen-Walker-Walters theory. However, wall stress is affected by many variables, particularly the shape of granular materials. In this work, ellipsoids which can represent a large number of particle shapes are used to investigate the effect of particle shape on the wall stress profile developed in a cylindrical hopper. The results show that due to the better flowabilities, spheres exert higher maximum stress on walls than ellipsoids. Wall stress for ellipsoids approaches a constant value quickly. It is also found that the wall stress distribution is not affected much by orifice size, but solid bed height. Further, an attempt is made to characterize the two parameters of wall friction coefficient μ and the lateral stress ratio KA in Jessen-Walker-Walters theory, indicating that both μ and KA vary with aspect ratio of ellipsoids. The assumption of the constant μ and KA may bring significant error in the wall stress prediction.
| Original language | English |
|---|---|
| Pages (from-to) | 1-9 |
| Number of pages | 9 |
| Journal | Powder Technology |
| Volume | 361 |
| DOIs | |
| Publication status | Published - 1 Feb 2020 |
Keywords
- DEM
- Ellipsoids
- Hopper flow
- Wall stress
Projects
- 1 Finished
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ARC Research Hub for Computational Particle Technology
Yu, A. (Primary Chief Investigator (PCI)), Zhao, D. (Chief Investigator (CI)), Rudman, M. (Chief Investigator (CI)), Jiang, X. (Chief Investigator (CI)), Selomulya, C. (Chief Investigator (CI)), Zou, R. (Chief Investigator (CI)), Yan, W. (Chief Investigator (CI)), Zhou, Z. (Chief Investigator (CI)), Guo, B. (Chief Investigator (CI)), Shen, Y. (Chief Investigator (CI)), Kuang, S. (Primary Chief Investigator (PCI)), Chu, K. (Chief Investigator (CI)), Yang, R. (Chief Investigator (CI)), Zhu, H. (Chief Investigator (CI)), Zeng, Q. (Chief Investigator (CI)), Dong, K. (Chief Investigator (CI)), Strezov, V. (Chief Investigator (CI)), Wang, G. (Chief Investigator (CI)), Zhao, B. (Chief Investigator (CI)), Song, S. (Partner Investigator (PI)), Evans, T. (Partner Investigator (PI)), Mao, X. (Partner Investigator (PI)), Zhu, J. (Partner Investigator (PI)), Hu, D. (Partner Investigator (PI)), Pan, R. (Partner Investigator (PI)), Li, J. (Partner Investigator (PI)), Williams, S. R. O. (Partner Investigator (PI)), Luding, S. (Partner Investigator (PI)), Liu, Q. (Partner Investigator (PI)), Zhang, J. (Chief Investigator (CI)), Huang, H. (Chief Investigator (CI)), Jiang, Y. (Chief Investigator (CI)), Qiu, T. (Partner Investigator (PI)), Hapgood, K. (Chief Investigator (CI)) & Chen, W. (Partner Investigator (PI))
ARC - Australian Research Council, Jiangxi University of Science and Technology, Jiangsu Industrial Technology Research Institute, Fujian Longking Co Ltd, Baosteel Group Corporation, Hamersley Iron Pty Limited, Monash University, University of New South Wales (UNSW), University of Queensland , Western Sydney University (WSU), Macquarie University
31/12/16 → 30/12/21
Project: Research