| Issue |
EPJ Web Conf.
Volume 249, 2021
Powders & Grains 2021 – 9th International Conference on Micromechanics on Granular Media
|
|
|---|---|---|
| Article Number | 14019 | |
| Number of page(s) | 4 | |
| Section | Particle Simulations and Particle-Based Methods | |
| DOI | https://doi.org/10.1051/epjconf/202124914019 | |
| Published online | 07 June 2021 | |
https://doi.org/10.1051/epjconf/202124914019
Acoustic signals of rotating drums generated based on DEM simulations
1
School of Materials Science & Engineering, University of New South Wales, Sydney, 2052, Australia
2
School of Chemical Engineering, University of New South Wales, Sydney, 2052, Australia
* Corresponding author: r.yang@unsw.edu.au
Published online: 7 June 2021
Acoustic emission (AE) or vibration signal has been applied in detecting operations of grinding mills in many industries. This paper proposes an approach to generate AE signals based on the particle-wall impacts. Through a combination of multi-mode vibrations and the calibration of the key parameters, the model was able to reproduce experimental data. The AE model was then implemented into a discrete element method (DEM) modelling of particle flow in a rotating mill. The AE signals of the mill under different filling levels and rotation speeds were generated and analysed, mainly focusing on the frequency and magnitude of each vibration mode. The link between the AE signals and the particle-wall impact energy was explored.
A video is available at https://doi.org/10.48448/1k3w-y947
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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