Projects per year
Abstract / Description of output
Five sources of critical error are identified for binary interactions of particles using the Multi-Sphere Discrete Element Method (MS-DEM) i.e. the occurrence of under-damping, two forms of over-damping error, over-stiffness effects, and force response inconsistencies due to erroneous contact area calculations. Algorithmic issues are found to be the source of over-stiffness effects, one form of over-damping and the erroneous contact area calculations. The remaining over-damping and under-damping errors are physical in nature. By defining different types of MS-DEM interactions, solutions are proposed which can successfully mitigate all of the identified errors. This includes the development of the concept of a locally reduced mass to attenuate the physics-based form of over-damping, and purely algorithmic considerations rectify the other form of over-damping as well as the over-stiffness effects and erroneous contact area calculations. This study focuses on two types of linear spring dash-pot models and two non-linear Hertzian models, however, it is demonstrated the nature of the errors and their respective solutions are generally independent of the contact model. As such, the solutions proposed should be considered for implementation with other contact models when using the MS-DEM, with a high likelihood of being applicable to other contact detection methods.
Original language | English |
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Article number | 118209 |
Journal | Powder Technology |
Volume | 416 |
Early online date | 31 Dec 2022 |
DOIs | |
Publication status | Published - 15 Feb 2023 |
Keywords / Materials (for Non-textual outputs)
- Non-spherical particles
- Particle based methods
- Multi-Sphere Discrete Element Method
- DEM clump
Fingerprint
Dive into the research topics of 'Contact models for the Multi-Sphere Discrete Element Method'. Together they form a unique fingerprint.Projects
- 1 Finished
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Powders by design for additive manufacture through multi-scale simulations
Haeri, S.
29/07/20 → 31/05/23
Project: Research
Research output
- 2 Article
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PD–DEM hybrid modeling of leading edge erosion in wind turbine blades under controlled impact scenarios
Walayat, K., Haeri, S., Iqbal, I. & Zhang, Y., Oct 2024, In: Computational Particle Mechanics. 11, 5, p. 1903-1921Research output: Contribution to journal › Article › peer-review
Open Access -
Force-Chain Finder: A software tool for the recursive detection of force-chains in granular materials via minor principal stress
Ejtehadi, O., Gupta, A., Khajepor, S. & Haeri, S., Apr 2024, In: Computer Physics Communications. 297, 109070.Research output: Contribution to journal › Article › peer-review
Open AccessFile