Identification of dominant DEM parameters for multi-component segregation during heap formation, hopper discharge and chute flow Article Swipe
Ahmed Hadi
,
Hao Shi
,
Yusong Pang
,
Dingena Schott
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.powtec.2024.119985
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.powtec.2024.119985
Segregation of granular materials is a critical phenomenon in various industries, such as food processing, pharmaceuticals, and mining. The Discrete Element Method (DEM) is an effective tool for gaining insight into granular segregation by providing particle-level information and the freedom to model mixtures that are often difficult or impossible to achieve through experiments. To ensure realistic material behaviour and correct representation of segregation, it is essential to calibrate the model parameters systematically. However, in the context of multi-component segregation, it is extremely challenging and computationally expensive to consider all parameters in the calibration procedure since interaction parameters between components must also be considered. This work aims to identify the dominant DEM parameters for modelling multi-component segregation during hopper discharge, chute flow and heap formation in a mixture of pellet and sinter. Utilising a representative example of a multi-component mixture with different sizes, densities and shapes used in blast furnaces, the investigation is done for various initial configurations as well as various mass ratios of the mixture. Our findings revealed that, while only particle-geometry interaction parameters dominate the segregation after the hopper and chute flow, particle-particle parameters are also significant for segregation in the heap. We also demonstrated that the downstream segregation is significantly influenced by the segregation upstream. Moreover, we found that the effect of pellet-sinter interactions is negligible. This research provides insights into the dominant DEM parameters, facilitating more efficient and robust calibration of multi-component models in future research endeavours.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.powtec.2024.119985
- OA Status
- hybrid
- Cited By
- 6
- References
- 64
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4399562238Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.powtec.2024.119985Digital Object Identifier
- Title
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Identification of dominant DEM parameters for multi-component segregation during heap formation, hopper discharge and chute flowWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-06-12Full publication date if available
- Authors
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Ahmed Hadi, Hao Shi, Yusong Pang, Dingena SchottList of authors in order
- Landing page
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https://doi.org/10.1016/j.powtec.2024.119985Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.powtec.2024.119985Direct OA link when available
- Concepts
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Heap (data structure), Component (thermodynamics), Flow (mathematics), Mechanics, Materials science, Computer science, Environmental science, Physics, Algorithm, ThermodynamicsTop concepts (fields/topics) attached by OpenAlex
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6Total citation count in OpenAlex
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2025: 5, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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64Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5101282640 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I98358874 |
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