Journal article 741 views 312 downloads
Preferential flow behaviour in unsaturated packed beds and heaps: Incorporating into a CFD model
Hydrometallurgy, Volume: 171, Pages: 402 - 411
Swansea University Author: Diane McBride
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DOI (Published version): 10.1016/j.hydromet.2017.06.008
Abstract
Heap leach stockpiles inevitably contain local voidage heterogeneities due to non-uniform particle size distributions of the ore and other factors that lead to preferential flow paths and solution channelling. The stockpile can also encounter diverse flow conditions due to a number of factors, inclu...
Published in: | Hydrometallurgy |
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ISSN: | 0304-386X |
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2017
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URI: | https://cronfa.swan.ac.uk/Record/cronfa34273 |
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2017-08-14T12:24:27.2958593 v2 34273 2017-06-13 Preferential flow behaviour in unsaturated packed beds and heaps: Incorporating into a CFD model f045e194e1b759f3aac9e15caf8f293e 0000-0002-9736-4534 Diane McBride Diane McBride true false 2017-06-13 EEN Heap leach stockpiles inevitably contain local voidage heterogeneities due to non-uniform particle size distributions of the ore and other factors that lead to preferential flow paths and solution channelling. The stockpile can also encounter diverse flow conditions due to a number of factors, including storm events, infiltration into dry ore material, cyclic drain down, compaction, migration of fines, all contributing to large variations in local ore permeability and the creation of preferential flow pathways. Non-uniform and adverse flow behaviour within the heap reduces the leaching efficiency which can lead to lower metal recoveries. Therefore, capturing the local flow variations that affect the transport of leach solution within the heap is critical to accurately predicting the leaching kinetics. Experimental data shows how channelling develops due to local heterogeneities that cannot be eliminated by packing alone. Thus, effective modelling of heap leach stockpiles should account for these channelling affects. This paper utilises a robust computational fluid dynamics (CFD) framework that incorporates techniques to account for local preferential flow paths in the heap leach system. The results are compared against liquid flow behaviour in a pseudo two-dimensional column of narrowly sized particles and a more realistic particle size distribution. The methods are then applied to a hypothetical leach to assess the impact of accounting for the flow variability in the heap. Journal Article Hydrometallurgy 171 402 411 0304-386X Heap leaching; Preferential flow; Channelling; Computational fluid dynamics (CFD); Hydrodynamics 31 12 2017 2017-12-31 10.1016/j.hydromet.2017.06.008 COLLEGE NANME Engineering COLLEGE CODE EEN Swansea University 2017-08-14T12:24:27.2958593 2017-06-13T15:14:56.9109821 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised D. McBride 1 I.M.S.K. Ilankoon 2 S.J. Neethling 3 J.E. Gebhardt 4 M. Cross 5 Diane McBride 0000-0002-9736-4534 6 0034273-13062017151749.pdf mcbride2017.pdf 2017-06-13T15:17:49.0130000 Output 1637260 application/pdf Accepted Manuscript true 2018-06-12T00:00:00.0000000 true eng |
title |
Preferential flow behaviour in unsaturated packed beds and heaps: Incorporating into a CFD model |
spellingShingle |
Preferential flow behaviour in unsaturated packed beds and heaps: Incorporating into a CFD model Diane McBride |
title_short |
Preferential flow behaviour in unsaturated packed beds and heaps: Incorporating into a CFD model |
title_full |
Preferential flow behaviour in unsaturated packed beds and heaps: Incorporating into a CFD model |
title_fullStr |
Preferential flow behaviour in unsaturated packed beds and heaps: Incorporating into a CFD model |
title_full_unstemmed |
Preferential flow behaviour in unsaturated packed beds and heaps: Incorporating into a CFD model |
title_sort |
Preferential flow behaviour in unsaturated packed beds and heaps: Incorporating into a CFD model |
author_id_str_mv |
f045e194e1b759f3aac9e15caf8f293e |
author_id_fullname_str_mv |
f045e194e1b759f3aac9e15caf8f293e_***_Diane McBride |
author |
Diane McBride |
author2 |
D. McBride I.M.S.K. Ilankoon S.J. Neethling J.E. Gebhardt M. Cross Diane McBride |
format |
Journal article |
container_title |
Hydrometallurgy |
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171 |
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402 |
publishDate |
2017 |
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Swansea University |
issn |
0304-386X |
doi_str_mv |
10.1016/j.hydromet.2017.06.008 |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
department_str |
School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised |
document_store_str |
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description |
Heap leach stockpiles inevitably contain local voidage heterogeneities due to non-uniform particle size distributions of the ore and other factors that lead to preferential flow paths and solution channelling. The stockpile can also encounter diverse flow conditions due to a number of factors, including storm events, infiltration into dry ore material, cyclic drain down, compaction, migration of fines, all contributing to large variations in local ore permeability and the creation of preferential flow pathways. Non-uniform and adverse flow behaviour within the heap reduces the leaching efficiency which can lead to lower metal recoveries. Therefore, capturing the local flow variations that affect the transport of leach solution within the heap is critical to accurately predicting the leaching kinetics. Experimental data shows how channelling develops due to local heterogeneities that cannot be eliminated by packing alone. Thus, effective modelling of heap leach stockpiles should account for these channelling affects. This paper utilises a robust computational fluid dynamics (CFD) framework that incorporates techniques to account for local preferential flow paths in the heap leach system. The results are compared against liquid flow behaviour in a pseudo two-dimensional column of narrowly sized particles and a more realistic particle size distribution. The methods are then applied to a hypothetical leach to assess the impact of accounting for the flow variability in the heap. |
published_date |
2017-12-31T03:42:30Z |
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1763751965743906816 |
score |
11.037056 |