Numerical analysis of aerated heap bioleaching with variable irrigation and aeration combinations

Ming-qing Huang , Ai-xiang Wu

Journal of Central South University ›› 2020, Vol. 27 ›› Issue (5) : 1432 -1442.

PDF
Journal of Central South University ›› 2020, Vol. 27 ›› Issue (5) : 1432 -1442. DOI: 10.1007/s11771-020-4379-x
Article

Numerical analysis of aerated heap bioleaching with variable irrigation and aeration combinations

Author information +
History +
PDF

Abstract

Forced aeration is an effective way to accelerate the heap bioleaching process. To reveal the effects of different irrigation and aeration combinations on bioleaching performance of copper sulfides, numerical simulations with Comsol were carried out. Results showed the oxygen concentration is the highest at the bottom with forced aeration, the airflow transports spherically from the aeration pipeline to the slope, and the horizontal diffusion distance is further than vertical value. When the irrigation-to-aeration ratio is higher, the average heap temperatures are mainly decided by aeration rates; otherwise, temperature distributions are the equilibrium of mineral reaction heat, the livixiant driven heat and the airflow driven heat. When the aeration rate is higher than 0.90 m3/(m2·h), oxygen concentration is no longer a limiting factor for mineral dissolution. Additionally, on the premise of sufficient oxygen supply, Cu recovery rate is higher at the bottom with low irrigation rate; while it is higher at upper regions with high irrigation rate. The numerical analysis uncovered some insights into the dynamics and thermodynamics rules in bioleaching of copper sulfides with forced aeration.

Keywords

forced aeration / irrigation-to-aeration ratio / oxygen concentration / temperature distribution / copper leaching rate

Cite this article

Download citation ▾
Ming-qing Huang, Ai-xiang Wu. Numerical analysis of aerated heap bioleaching with variable irrigation and aeration combinations. Journal of Central South University, 2020, 27(5): 1432-1442 DOI:10.1007/s11771-020-4379-x

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

BrierleyJ A, BrierleyC L. Present and future commercial applications of biohydrometallurgy [J]. Hydrometallurgy, 2001, 59(23): 233-239

[2]

YinS-h, ChenW, ChenX, WangL-ming. Bacterial-mediated recovery of copper from low-grade copper sulphide using acid-processed rice straw [J]. Bioresource Technology, 2019, 288: 1-8

[3]

WangJ, ZhaoH-b, QinW-q, QiuG-zhou. Bioleaching of complex polymetallic sulfide ores by mixed culture [J]. Journal of Central South University, 2014, 21(7): 2633-2637

[4]

HectorM L. Copper bioleaching behaviour in an aerated heap [J]. International Journal of Mineral Processing, 2001, 62: 257-269

[5]

BrierleyC L. Biohydrometallurgical prospects [J]. Hydrometallurgy, 2010, 104(34): 324-328

[6]

SidbornM, CasasJ, Mart'inezJ, MorenoL. Two-dimensional dynamic model of a copper sulphide ore bed [J]. Hydrometallurgy, 2003, 71: 67-74

[7]

BouffardS C. Application of the HeapSim model to the heap bioleaching of the Pueblo Viejo ore deposit [J]. Hydrometallurgy, 2008, 94(34): 116-123

[8]

LiH-x, LiA, WuA-x, QiuG-zhou. Effect of irrigation rate and air flow rate on temperature distribution of secondary copper sulfide during bio-heap leaching process [J]. The Chinese Journal of Nonferrous Metals, 2010, 20(7): 1424-1432

[9]

LeahyM J, DavidsonM R, SchwarzM PA column bioleaching model for chalcocite: An investigation of oxygen limitation and bacterial inoculation on leaching [C], 2004

[10]

LeahyM J, SchwarzM P, DavidsonM RAn air sparging CFD model for heap bioleaching of copper-sulphide [C]// The Third International Conference on CFD in the Minerals and Process Industries, 2003

[11]

ComsolA B, BurlingtonM AComsol multiphysics user's guide (Version 3.5a) [M], 2008, Stockholm, Sweden, Comsol Inc.

[12]

DonatiE R, SandWMicrobial processing of metal sulfides [M], 2007, Netherland, Springer Verlag

AI Summary AI Mindmap
PDF

135

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/