Remarkable simplicity in the prediction of nonspherical particle segregation
Size-disperse mixtures of noncohesive particles segregate, or demix, during flow. For spherical particles, mixture segregation can be predicted based on the relative particle diameters. However, most particle systems in industry and geophysics involve nonspherical particles. Accounting for the immen...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Physical Society
2020-10-01
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| Series: | Physical Review Research |
| Online Access: | http://doi.org/10.1103/PhysRevResearch.2.042021 |
| _version_ | 1827285923207839744 |
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| author | Ryan P. Jones Julio M. Ottino Paul B. Umbanhowar Richard M. Lueptow |
| author_facet | Ryan P. Jones Julio M. Ottino Paul B. Umbanhowar Richard M. Lueptow |
| author_sort | Ryan P. Jones |
| collection | DOAJ |
| description | Size-disperse mixtures of noncohesive particles segregate, or demix, during flow. For spherical particles, mixture segregation can be predicted based on the relative particle diameters. However, most particle systems in industry and geophysics involve nonspherical particles. Accounting for the immense range of particle shapes introduces additional parameters. As a proxy for nonspherical particles in general, we perform discrete element method simulations of gravity-driven free-surface flows of bidisperse mixtures of mm-sized particles that vary widely in their size and shape (disks, rods, and spheres). Remarkably, the propensity to segregate, measured in terms of a segregation length scale that characterizes the segregation velocity of the two species, can be predicted based on only the volume ratio of the two particle species. The segregation length scale increases linearly with the log of the volume ratio, as it does for bidisperse mixtures of spherical particles, independent of particle shape. |
| first_indexed | 2024-04-24T10:22:50Z |
| format | Article |
| id | doaj.art-695f8c97897c4b74a6a9abdcb908361f |
| institution | Directory Open Access Journal |
| issn | 2643-1564 |
| language | English |
| last_indexed | 2024-04-24T10:22:50Z |
| publishDate | 2020-10-01 |
| publisher | American Physical Society |
| record_format | Article |
| series | Physical Review Research |
| spelling | doaj.art-695f8c97897c4b74a6a9abdcb908361f2024-04-12T17:03:06ZengAmerican Physical SocietyPhysical Review Research2643-15642020-10-012404202110.1103/PhysRevResearch.2.042021Remarkable simplicity in the prediction of nonspherical particle segregationRyan P. JonesJulio M. OttinoPaul B. UmbanhowarRichard M. LueptowSize-disperse mixtures of noncohesive particles segregate, or demix, during flow. For spherical particles, mixture segregation can be predicted based on the relative particle diameters. However, most particle systems in industry and geophysics involve nonspherical particles. Accounting for the immense range of particle shapes introduces additional parameters. As a proxy for nonspherical particles in general, we perform discrete element method simulations of gravity-driven free-surface flows of bidisperse mixtures of mm-sized particles that vary widely in their size and shape (disks, rods, and spheres). Remarkably, the propensity to segregate, measured in terms of a segregation length scale that characterizes the segregation velocity of the two species, can be predicted based on only the volume ratio of the two particle species. The segregation length scale increases linearly with the log of the volume ratio, as it does for bidisperse mixtures of spherical particles, independent of particle shape.http://doi.org/10.1103/PhysRevResearch.2.042021 |
| spellingShingle | Ryan P. Jones Julio M. Ottino Paul B. Umbanhowar Richard M. Lueptow Remarkable simplicity in the prediction of nonspherical particle segregation Physical Review Research |
| title | Remarkable simplicity in the prediction of nonspherical particle segregation |
| title_full | Remarkable simplicity in the prediction of nonspherical particle segregation |
| title_fullStr | Remarkable simplicity in the prediction of nonspherical particle segregation |
| title_full_unstemmed | Remarkable simplicity in the prediction of nonspherical particle segregation |
| title_short | Remarkable simplicity in the prediction of nonspherical particle segregation |
| title_sort | remarkable simplicity in the prediction of nonspherical particle segregation |
| url | http://doi.org/10.1103/PhysRevResearch.2.042021 |
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