In flotation process, the efficiency and selectivity depend on mineralogy, particle size distribution and liberation, reagents added, mixing, and particle coverage. However, the kinetics of particle recovery is highly dependent on cell hydrodynamic and circuit configuration and operational strategy. Controlling froth depth and gas flow rate, measured as superficial gas velocity, is a straightforward alternative related to kinetics in the froth and collection zones. However, these parameters are not measured accurately. Froth depth measurement is based on a floating device coupled with a sonic sensor; this configuration presents hysteresis and deviation due to variation in the gas holdup and pulp density. In self-aspirated machines, there is no technology to measure gas velocity. To address this problem, the intelligent online gas dispersion sensor based on two concentric HDPE cylindres is proposed. The intelligent online gas dispersion sensor is based on two concentric HDPE cylinders. The methodology improves the accuracy of gas velocity calculation with a new algorithm. Froth depth measurement is based on two pressure transducers, reducing the uncertainty of the floating sonic sensor to 1 cm. Pulp bulk density is directly measured, and gas holdup can be estimated. Experimental results and industrial device validation indicate that the new intelligent system can measure superficial gas velocity (Jg) online and self-calibrate, with a 2% error, the froth depth error being ±1 cm. Therefore, a multiparameter sensor for measuring gas dispersion in industrial flotation cells was experimentally designed and validated in an industrial environment (TRL 8). In this context, the proposed online gas dispersion sensor emerges as a robust technology to improve the operation of the flotation process.

Conflicts of Interest

The authors declare no conflict of interest.

Open Research

Data Availability

All raw data remains the Universidad Católica del Norte property allowed in this study. The input data used to support the endings of this study could be available from the corresponding author’s email with appropriate justification.

References

1 Prakash R., Majumder S. K., and Singh A., Flotation technique: its mechanisms and design parameters, Chemical Engineering and Processing-Process Intensification. (2018) 127, 249–270, https://doi.org/10.1016/j.cep.2018.03.029, 2-s2.0-85044968308.
10.1016/j.cep.2018.03.029
CAS Web of Science® Google Scholar
2 Zhang W., The effects of frothers and particles on the characteristics of pulp and froth properties in flotation—a critical review, Journal of Minerals and Materials Characterization and Engineering. (2016) 4, no. 4, 251–269, https://doi.org/10.4236/jmmce.2016.44023.
10.4236/jmmce.2016.44023
CAS Google Scholar
3 Wills B. A. and Finch J. A., Wills' Mineral Processing Technology: An Introduction to the Practical Aspects of Ore Treatment and Mineral Recovery, 2015, Butterworth-Heinemann.
Google Scholar
4 Fuerstenau M., Jameson G., and Yoon R., Froth Flotation: A Century of Innovation, 2007, 1st edition, Society for Mining, Metallurgy and Exploration Inc., Colorado.
Google Scholar
5 Grau R. A. and Heiskanen K., Gas dispersion measurements in a flotation cell, Minerals Engineering. (2003) 16, no. 11, 1081–1089, https://doi.org/10.1016/j.mineng.2003.06.007, 2-s2.0-0344084353.
10.1016/j.mineng.2003.06.007
CAS Web of Science® Google Scholar
6 Torrealba-Vargas J. A. and Finch J. A., Continuous air rate measurement in flotation cells: some fundamental considerations, International Journal of Mineral Processing. (2006) 81, no. 2, 85–92, https://doi.org/10.1016/j.minpro.2006.07.004, 2-s2.0-33750075451.
10.1016/j.minpro.2006.07.004
CAS Google Scholar
7 Torrealba V., Gomez C., and Finch J., Continuous air rate measurement in flotation cells: a step towards gas distribution management, Minerals Engineering. (2004) 17, no. 6, 761–765, https://doi.org/10.1016/j.mineng.2004.01.011, 2-s2.0-2442690696.
10.1016/j.mineng.2004.01.011
Web of Science® Google Scholar
8 Nesset J. and Cappuccitti F., Frother and collector effects on flotation cell hydrodynamics and their implication on circuit performance, 2006, Canadian Institute of Mining, Metallurgy and Petroleum..
Google Scholar
9 Seguel F., Soto I., Krommenacker N., Maldonado M., and Yoma N. B., Optimizing flotation bank performance through froth depth profiling: revisited, Minerals Engineering. (2015) 77, 179–184, https://doi.org/10.1016/j.mineng.2015.03.008, 2-s2.0-84926431333.
10.1016/j.mineng.2015.03.008
CAS Web of Science® Google Scholar
10 Reza M., Seher A., and Graeme J., Study of froth behaviour in a controlled plant environment - Part 1: effect of air flow rate and froth depth, Minerals Engineering. (2015) 81, 152–160, https://doi.org/10.1016/j.mineng.2015.07.003, 2-s2.0-84940449113.
10.1016/j.mineng.2015.07.003
Web of Science® Google Scholar
11 Comley B., Vera M., and Franzidis J.-P., Interpretation of the effect of frother type and concentration on flotation performance in an OK3 cell, Minerals & Metallurgical Processing. (2007) 24, no. 4, 243–252, https://doi.org/10.1007/BF03403373.
10.1007/BF03403373
CAS Google Scholar
12 Hadler K., Plint N., Cilliers J., and Greyling M., The effect of froth depth on air recovery and flotation performance, Minerals Engineering. (2012) 36-38, 248–253, https://doi.org/10.1016/j.mineng.2012.04.003, 2-s2.0-84867741983.
10.1016/j.mineng.2012.04.003
CAS Web of Science® Google Scholar
13 Dobby G., Yianatos J., and Finch J., Estimation of bubble diameter in flotation columns from drift flux analysis, Canadian Metallurgical Quarterly. (1988) 27, no. 2, 85–90, https://doi.org/10.1179/cmq.1988.27.2.85, 2-s2.0-0023996960.
10.1179/cmq.1988.27.2.85
CAS Web of Science® Google Scholar
14 Falutsu M., Direct measurement of gas rate in a flotation machine, Minerals Engineering. (1994) 7, no. 12, 1487–1494, https://doi.org/10.1016/0892-6875(94)90040-X, 2-s2.0-0028714449.
10.1016/0892-6875(94)90040-X
CAS Web of Science® Google Scholar
15 Jameson G. and Allum P., A survey of bubbles sizes in industrial flotation cells, 1984, Report prepared for AMIRA limited.
Google Scholar
16 Bergh L. and Yianatos J., Flotation column automation: state of the art, Control Engineering Practice. (2003) 11, no. 1, 67–72, https://doi.org/10.1016/S0967-0661(02)00093-X, 2-s2.0-0037274984.
10.1016/S0967-0661(02)00093-X
Web of Science® Google Scholar
17 Rule R., Flotation Level Measurement Techniques, 2017, Creamer Media’s Eng. News, http://www.engineeringnews.co.za/article/flotation-level-measurement-techniques-2017-03-31/rep_id:4136.
Google Scholar
18 Rahman R. M., Ata S., and Jameson G. J., Study of froth behaviour in a controlled plant environment - part 1: effect of air flow rate and froth depth, Minerals Engineering. (2015) 81, 152–160, https://doi.org/10.1016/j.mineng.2015.07.003, 2-s2.0-84940449113.
10.1016/j.mineng.2015.07.003
CAS Web of Science® Google Scholar
19 Maldonado M., Desbiens A., and del Villar R., An update on the estimation of the froth depth using conductivity measurements, Minerals Engineering. (2008) 21, no. 12–14, 856–860, https://doi.org/10.1016/j.mineng.2008.02.018, 2-s2.0-52949119193.
10.1016/j.mineng.2008.02.018
CAS Web of Science® Google Scholar
20 Bergh L. and Yianatos J., Control alternatives for flotation columns, Minerals Engineering. (1993) 6, no. 6, 631–642, https://doi.org/10.1016/0892-6875(93)90117-6, 2-s2.0-0027608054.
10.1016/0892-6875(93)90117-6
CAS Web of Science® Google Scholar
21 Cooper M., Scott D., Dahlke R., Finch J. A., and Gomez C. O., Impact of air distribution profile on banks in a Zn cleaning circuit, CIM Bulletin. (2004) 97, no. 1083, 1–6.
Google Scholar
22 Yianatos J., Bergh L., Condori P., and Aguilera J., Hydrodynamic and metallurgical characterization of industrial flotation banks for control purposes, Minerals Engineering. (2001) 14, no. 9, 1033–1046, https://doi.org/10.1016/S0892-6875(01)00109-1, 2-s2.0-0035445096.
10.1016/S0892-6875(01)00109-1
CAS Web of Science® Google Scholar
23 Gomez C. and Finch J., Gas dispersion measurements in flotation cells, Mineral Processing. (2007) 84, no. 1-4, 51–58, https://doi.org/10.1016/j.minpro.2007.03.009, 2-s2.0-34548498909.
10.1016/j.minpro.2007.03.009
CAS Web of Science® Google Scholar
24 Mwandawande I., Investigation of the Gas Dispersion and Mixing Characteristics in Column Flotation Using Computational Fluid Dynamics (CFD) (Extractive Metallurgical Engineering), 2016, Doctoral dissertation, Stellenbosch: Stellenbosch University.
Google Scholar
25 Mwandawande I., Akdogan G., Bradshaw S. M., Karimi M., and Snyders N., Prediction of gas holdup in a column flotation cell using computational fluid dynamics (CFD), Journal of the Southern African Institute of Mining and Metallurgy. (2019) 119, no. 1, 81–95.
10.17159/2411-9717/2019/v119n1a10
CAS Web of Science® Google Scholar
26 Koh P. T. L., Schwarz M. P., Zhu Y., Bourke P., Peaker R., and Franzidis J. P., Development of CFD models of mineral flotation cells, Third International Conference on Computational Fluid Dynamics in the Minerals and Process Industries, 2003, Melbourne, Australia.
Google Scholar
27 Nesset J. E., Hernandez-Aguilar J., Acuna C., Gomez C., and Finch J., Some gas dispersion characteristics of mechanical flotation machines, Minerals Engineering. (2006) 19, no. 6-8, 807–815, https://doi.org/10.1016/j.mineng.2005.09.045, 2-s2.0-33644960164.
10.1016/j.mineng.2005.09.045
CAS Web of Science® Google Scholar
28 Matiolo E., Testa F., Yianatos J., and Rubio J., On the gas dispersion measurements in the collection zone of flotation columns, International Journal of Mineral Processing. (2011) 99, no. 1-4, 78–83, https://doi.org/10.1016/j.minpro.2011.03.002, 2-s2.0-79956134887.
10.1016/j.minpro.2011.03.002
CAS Google Scholar
29 Gorain B., Franzidis J., and Manlapig E., Studies on impeller type, impeller speed and air flow rate in an industrial scale flotation cell. Part 4: effect of bubble surface area flux on flotation performance, Minerals Engineering. (1997) 10, no. 4, 367–379, https://doi.org/10.1016/S0892-6875(97)00014-9.
10.1016/S0892-6875(97)00014-9
CAS Web of Science® Google Scholar
30 Araya R., Gas distribution in industrial flotation machines: a proposed measurement method, 2009, McGill University, https://doi.org/10.1016/S0967-0661(02)00093-X, 2-s2.0-0037274984.
Google Scholar
31 Finch J. and Dobby G., Column Flotation, 1991, 1st edition, Pergamon Press, https://doi.org/10.1016/0301-7516(91)90062-N, 2-s2.0-0026256468.
Google Scholar
32 Ostadrahimi M., Farrokhpay S., Gharibi K., Dehghani A., and Aghajanloo M., Effects of flotation operational parameters on froth stability and froth recovery, Journal of the Southern African Institute of Mining and Metallurgy. (2021) 121, no. 1, 11–20.
10.17159/2411-9717/1272/2021
CAS Web of Science® Google Scholar
33 Nakhaei F., Irannajad M., and Mohammadnejad S., A comprehensive review of froth surface monitoring as an aid for grade and recovery prediction of flotation process. Part B: texture and dynamic features, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. (2019) 1–23, https://doi.org/10.1080/15567036.2019.1677807.
10.1080/15567036.2019.1677807
Web of Science® Google Scholar
34 Nakhaei F., Irannajad M., and Mohammadnejad S., Evaluation of column flotation froth behavior by image analysis: effects of operational factors in desulfurization of iron ore concentrate, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. (2018) 40, no. 19, 2286–2306, https://doi.org/10.1080/15567036.2018.1486485, 2-s2.0-85052103814.
10.1080/15567036.2018.1486485
CAS Web of Science® Google Scholar
35 McFadzean B., Marozva T., and Wiese J., Flotation frother mixtures: decoupling the sub-processes of froth stability, froth recovery and entrainment, Minerals Engineering. (2016) 85, 72–79, https://doi.org/10.1016/j.mineng.2015.10.014, 2-s2.0-84964311636.
10.1016/j.mineng.2015.10.014
CAS Web of Science® Google Scholar
36 Ramos I., Maldonado M., Meriño D., Bustos P., Henriquez F., and Morales M., A new approach to measure gas holdup in industrial flotation machines. Part III: industrial prototype design and assessment, Minerals Engineering. (2022) 180, article 107490, https://doi.org/10.1016/j.mineng.2022.107490.
10.1016/j.mineng.2022.107490
Web of Science® Google Scholar

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Online Superficial Gas Velocity, Holdup, and Froth Depth Sensor for Flotation Cells

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