A new method for assessing coarse particle flotation performance Part 2: Assessment of reproducibility using data from a mechanical cell

被引:0
作者
Crompton, Luke J. [1 ]
Islam, Md. Tariqul [1 ]
Gibbs, Emma [1 ]
Galvin, Kevin P. [1 ]
机构
[1] Univ Newcastle, Newcastle Inst Energy & Resources, ARC Ctr Excellence Enabling Ecoefficient Beneficia, Callaghan, NSW 2308, Australia
基金
澳大利亚研究理事会;
关键词
Coarse particle flotation; Fluidised bed flotation; Kinetics; Distributed rate constants; Partition curve; DISTRIBUTIONS; SIZE;
D O I
10.1016/j.mineng.2025.109210
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In Part I, we introduced distributed rate constants into the algorithm of Crompton et al (2023) used for describing the partitioning of hydrophobic particles in coarse particle flotation. The Part I paper applied the new algorithm to a previous data set generated using the CoarseAIRTM fluidised bed separator. This Part II paper investigated the uncertainty in the new algorithm. A mechanical cell was used to simulate the coarse particle flotation process, providing a means for preparing pseudo steady state feed, product, and reject samples. A comprehensive protocol for preparing the samples was established. The overall methodology was then repeated multiple times, providing a basis for quantifying the reproducibility and reliability of the methodology, confirming its robustness.
引用
收藏
页数:20
相关论文
共 15 条
  • [1] A new method for assessing coarse particle flotation performance Part IOn the deconvolution of the flotation response
    Crompton, Luke J.
    Islam, Md. Tariqul
    Gibbs, Emma
    Galvin, Kevin P.
    [J]. MINERALS ENGINEERING, 2024, 218
  • [2] Assessment of the partitioning of coarse hydrophobic particles in the product concentrate of the CoarseAIR™ flotation system using a novel mechanical cell reference method
    Crompton, Luke J.
    Islam, Md. Tariqul
    Galvin, Kevin P.
    [J]. MINERALS ENGINEERING, 2023, 198
  • [3] Investigation of Internal Classification in Coarse Particle Flotation of Chalcopyrite Using the CoarseAIR™
    Crompton, Luke J.
    Islam, Md Tariqul
    Galvin, Kevin P.
    [J]. MINERALS, 2022, 12 (06)
  • [4] Flotation of coarse composite particles in mechanical cell vs. the fluidised-bed separator (The HydroFloat™)
    Fosu, Shadrack
    Awatey, Bellson
    Skinner, William
    Zanin, Massimiliano
    [J]. MINERALS ENGINEERING, 2015, 77 : 137 - 149
  • [5] Gaudin A.M., 1931, TECHNICAL PUBLICATIO, V414, P3
  • [6] Using two dimensional sectional distributions to infer three dimensional volumetric distributions - Validation using tomography
    Gay, S. L.
    Morrison, R. D.
    [J]. PARTICLE & PARTICLE SYSTEMS CHARACTERIZATION, 2006, 23 (3-4) : 246 - 253
  • [7] Predicting the recovery and grade of a rougher flotation circuit from liberation data
    Gupta, Mohit
    Huang, Kaiwu
    Yoon, Roe-Hoan
    [J]. MINERALS ENGINEERING, 2022, 188
  • [8] New directions in flotation machine design
    Jameson, Graeme J.
    [J]. MINERALS ENGINEERING, 2010, 23 (11-13) : 835 - 841
  • [9] Coarse particle concentration using the HydroFloat separator
    Kohmuench, JN
    Luttrell, GH
    Mankosa, MJ
    [J]. MINERALS & METALLURGICAL PROCESSING, 2001, 18 (02) : 61 - 67
  • [10] Opportunities for plant-site 3D coarse particle characterization with automated high-speed X-ray tomography
    Miller, J. D.
    Lin, C. L.
    [J]. MINERALS & METALLURGICAL PROCESSING, 2016, 33 (02) : 53 - 57