Scholarly record
MODELING OF FINE MINERAL PARTICLE AGGREGATION TO REDUCE ENVIRONMENTAL RISK IN MINING INDUSTRY
Abstract
The increased content of suspended fine mineral particles in technological and waste waters of mining enterprises and the need to reduce their content to prescriptive concentrations before recycling or discharging into natural water bodies make it necessary to develop new approaches to water conditioning. Despite a variety of existing technological solutions, it’s a problem to select a water conditioning method that simultaneously provides low cost and environmental acceptability. The solution to this task is the use of main production wastes of enterprises. It is of practical and scientific interest to identify the conditions of aggregation of suspended solids with fine particles of waste rock minerals, subjected to mechanical surface activation during ore grinding in order to reduce the content of suspended solids in waste water without adding chemical reagents. Dispersion interactions are determined by the material composition of minerals and are an important component of the forces responsible for the particles aggregation. However, theoretical calculation of dispersion interactions in polydisperse systems does not allow taking into account many significant factors, such as asymmetric particle shapes or structural properties of the water layer between the particles in the resulting aggregates, which makes it difficult to assess the aggregative stability. In order to improve the reliability of parameterization of dispersion interactions, the authors have studied aggregation in a polydisperse system of micron-sized particles using the case study of ore deposits developed by the Kola mining and industrial complex. The authors have proposed a methodical approach to evaluation of dispersion interactions constants in mineral-water and mineral-water-mineral systems based on the matching of a set of experimental data on the aggregation of fine particles obtained by laser diffraction under equilibrium conditions. On the basis of the obtained data the authors have determined possibility of water conditioning by aggregation of fine mineral particles at their dispersion interaction.
Publication Impact Profile
- Captures
- Mendeley - Readers: 2
Publication details
References15
Bergstrom L. Hamaker constants of inorganic materials, Adv. Coll. Interface Sci. 1997. V.70. P.125 – 169. DOI: 10.1016/S0001-8686(97)00003-1.
Bratby, J.. “Coagulation and Flocculation in Water and Wastewater Treatment - Third Edition.” IWA Publishing, 2016. 538p. DOI: 10.2166/9781780402321.
Cejas, C., Maini, L., Monti, F., & Tabeling, P. (2019). Deposition kinetics of bi- and tridisperse colloidal suspensions in microchannels under the van der Waals regime. Soft Matter, 2019.No.15. P.7438-7447 DOI: 10.1039/C9SM01098J.
Dzyaloshinskii I.E., Lifshitz E.M., Pitaevskii L.P., The general theory of van der Waals forces, Adv. Phys.1961.10.P.165 – 209. DOI: 10.1080/00018736100101281.
Faure, B., Salazar-Alvarez, G., & Bergstr?m, L. Hamaker constants of iron oxide nanoparticles. Langmuir: the ACS journal of surfaces and colloids, 2011.V.27.No.14. P.8659-8664. DOI: 10.1021/la201387d.
Feder, J. Random sequential adsorption. J. Theor. Biol. 1980. 87. P.237–254. DOI: 10.1016/0022-5193(80)90358-6
Fronczak S.G., Dong J., Browne C.A., Krenek E.C., Franses E.I., Beaudoin S.P., Corti D. S. A new “Quasi-Dynamic” method for determining the hamaker constant of solids using an atomic force microscope. Langmuir. 2017. 33. P.714 – 725. DOI: 10.1021/acs.langmuir.6b04063.
Jin, C., Glawdel, T., Ren, C., & Emelko, M. (2015). Non-linear, non-monotonic effect of nano-scale roughness on particle deposition in absence of an energy barrier: Experiments and modeling. Nature Scientific Reports. 2016.5. 17747. DOI: 10.1038/srep17747
Morga M, Adamczyk Z, Kosior D, O?wieja M. Hematite/silica nanoparticle bilayers on mica: AFM and electrokinetic characterization. Physical Chemistry Chemical Physics. 2018.20(22).P.15368-15379. DOI: 10.1039/c8cp01049h.
Parsegian V.A. Van Der Waals Forces: a Handbook for Biologists, Engineers, and Physicists, Cambridge University Press, UK, 2005. 398p.
R Development Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. – 2008. - ISBN 3-900051-07-0. - http://www.R-project.org
Ravi K. Jain, Zengdi “Cindy” Cui, Jeremy K. Environmental Impact of Mining and Mineral Processing: Management, Monitoring, and Auditing Strategies. Butterworth-Heinemann, 2015. 322p. DOI: 10.1016/C2014-0-05174-X.
Shen, Q. (). New insight on critical Hamaker constant of solid materials. Materials Research Bulletin. 2021. 133. 111082. DOI: 10.1016/j.materresbull.2020.111082
Visser J. On Hamaker constants: a comparison between Hamaker constants and Lifshitz-Van der Waals constants, Adv. Coll. Interface Sci. 1972.3. P.331 – 363. DOI: 10.1016/0001-8686(72)85001-2.
Weber C., Kn?pfer P., Buchmann M., Rudolph M., Peuker U.A. A comparison between approaches for the calculation of van der Waals interactions in ?otation systems. Minerals Engineering. 2021. V.167. Article 106804 DOI: 10.1016/j.mineng.2021.106804
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.