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Coupled DEM-LBM simulation of saturated flow velocity characteristics in column leaching

Tao Li, Aixiang Wu, Yuntian Feng Orcid Logo, Hongjiang Wang, Leiming Wang, Xun Chen, Shenghua Yin

Minerals Engineering, Volume: 128, Pages: 36 - 44

Swansea University Author: Yuntian Feng Orcid Logo

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DOI (Published version): 10.1016/j.mineng.2018.08.027

Abstract

Heap leaching is a process extensively used by the mining industry to recover valuable metals from low-grade ores. However, the flow of the solution in a heap leaching system is disordered, uncontrollable and difficult to predict. To investigate the velocity characteristics of saturated flows in col...

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Published in: Minerals Engineering
ISSN: 0892-6875
Published: 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa43783
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first_indexed 2018-09-12T12:59:43Z
last_indexed 2018-11-12T20:19:51Z
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spelling 2018-11-12T15:11:38.9636083 v2 43783 2018-09-12 Coupled DEM-LBM simulation of saturated flow velocity characteristics in column leaching d66794f9c1357969a5badf654f960275 0000-0002-6396-8698 Yuntian Feng Yuntian Feng true false 2018-09-12 CIVL Heap leaching is a process extensively used by the mining industry to recover valuable metals from low-grade ores. However, the flow of the solution in a heap leaching system is disordered, uncontrollable and difficult to predict. To investigate the velocity characteristics of saturated flows in column leaching under different conditions, a combined experimental and numerical approach was carried out in the current work. MRI (magnetic resonance imaging) technology was employed in the column leaching experiment and numerical simulations were performed by combining the discrete element method (DEM) with the lattice Boltzmann method (LBM) to predict the microscopic seepage velocity field in the leaching column. The fluid flow and solid particles were modelled by the LBM and DEM respectively, and the interfacial interaction between the fluid and the solids was resolved by the immersed boundary method (IMB). It was demonstrated that the maximum fluid velocity is positively correlated with irrigation rate and porosity. Moreover, the preferential flow mainly passes through the main seepage channel. Thus, the numerical model developed in the present work is a reliable prediction tool for understanding the regularities of mesoscopic seepage velocity distributions in column leaching processes. Journal Article Minerals Engineering 128 36 44 0892-6875 Discrete element method, Lattice Boltzmann method, Heap leaching, Magnetic resonance imaging, Saturated flow 31 12 2018 2018-12-31 10.1016/j.mineng.2018.08.027 COLLEGE NANME Civil Engineering COLLEGE CODE CIVL Swansea University 2018-11-12T15:11:38.9636083 2018-09-12T09:20:52.1216160 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Tao Li 1 Aixiang Wu 2 Yuntian Feng 0000-0002-6396-8698 3 Hongjiang Wang 4 Leiming Wang 5 Xun Chen 6 Shenghua Yin 7 0043783-14092018085344.pdf li2018(8).pdf 2018-09-14T08:53:44.3270000 Output 616637 application/pdf Accepted Manuscript true 2019-08-29T00:00:00.0000000 true eng
title Coupled DEM-LBM simulation of saturated flow velocity characteristics in column leaching
spellingShingle Coupled DEM-LBM simulation of saturated flow velocity characteristics in column leaching
Yuntian Feng
title_short Coupled DEM-LBM simulation of saturated flow velocity characteristics in column leaching
title_full Coupled DEM-LBM simulation of saturated flow velocity characteristics in column leaching
title_fullStr Coupled DEM-LBM simulation of saturated flow velocity characteristics in column leaching
title_full_unstemmed Coupled DEM-LBM simulation of saturated flow velocity characteristics in column leaching
title_sort Coupled DEM-LBM simulation of saturated flow velocity characteristics in column leaching
author_id_str_mv d66794f9c1357969a5badf654f960275
author_id_fullname_str_mv d66794f9c1357969a5badf654f960275_***_Yuntian Feng
author Yuntian Feng
author2 Tao Li
Aixiang Wu
Yuntian Feng
Hongjiang Wang
Leiming Wang
Xun Chen
Shenghua Yin
format Journal article
container_title Minerals Engineering
container_volume 128
container_start_page 36
publishDate 2018
institution Swansea University
issn 0892-6875
doi_str_mv 10.1016/j.mineng.2018.08.027
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
document_store_str 1
active_str 0
description Heap leaching is a process extensively used by the mining industry to recover valuable metals from low-grade ores. However, the flow of the solution in a heap leaching system is disordered, uncontrollable and difficult to predict. To investigate the velocity characteristics of saturated flows in column leaching under different conditions, a combined experimental and numerical approach was carried out in the current work. MRI (magnetic resonance imaging) technology was employed in the column leaching experiment and numerical simulations were performed by combining the discrete element method (DEM) with the lattice Boltzmann method (LBM) to predict the microscopic seepage velocity field in the leaching column. The fluid flow and solid particles were modelled by the LBM and DEM respectively, and the interfacial interaction between the fluid and the solids was resolved by the immersed boundary method (IMB). It was demonstrated that the maximum fluid velocity is positively correlated with irrigation rate and porosity. Moreover, the preferential flow mainly passes through the main seepage channel. Thus, the numerical model developed in the present work is a reliable prediction tool for understanding the regularities of mesoscopic seepage velocity distributions in column leaching processes.
published_date 2018-12-31T03:55:07Z
_version_ 1763752760165007360
score 11.0133505

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