Details

Title

Modelling Of Flotation Processes By Classical Mathematical Methods – A Review

Journal title

Archives of Mining Sciences

Yearbook

2015

Numer

No 4

Publication authors

Divisions of PAS

Nauki o Ziemi

Description

Archives of Mining Sciences (AMS) publish research results of wide interest in all fields of mining sciences which include: rock mechanics, mining engineering, mineral processing, geotechnical engineering and tunnelling, mining and engineering geology, minig geodesy and geophysics, ventilation systems, environmental protection in mining and economical aspects in mining.

The journal established by the Polish Academy of Sciences, has been regularly issued since 1956. It enable collaboration and exchange of ideas between researchers from different countries as well as provides forum for the publication of high quality papers.

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IMPACT FACTOR 2017: 0.629, 5-year: 0,706

Score of the Ministry of Science and Higher Education = 20

Publisher

Committee of Mining PAS

Date

2015[2015.01.01 AD - 2015.12.31 AD]

Identifier

ISSN 0860-7001

References

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Welsby (2010), Assigning physical significance to floatability components of Mineral Processing, International Journal, 97, 59. ; Deglon (1999), A model to relate the flotation rate constant and the bubble surface area flux in mechanical flotation cells No, Minerals Engineering, 12, 599, doi.org/10.1016/S0892-6875(99)00046-1 ; Yianatos (2005), Collection zone kinetic model for industrial flotation columns, Minerals Engineering, 18, 1373, doi.org/10.1016/j.mineng.2005.01.014 ; Yianatos (2012), Modelling and simulation of rougher flotation circuits of Mineral Processing, International Journal, 112, 63. ; Savassi (1998), An empirical model for entrainment in industrial flotation plants No, Minerals Engineering, 11, 243, doi.org/10.1016/S0892-6875(98)00003-X ; Casali (2002), Dynamic simulator of a rougher flotation circuit for a copper sulphide ore, Minerals Engineering, 15, 253, doi.org/10.1016/S0892-6875(02)00016-X ; Koh (2008), Modelling attachment rates of multi - sized bubbles with particles in a flotation cell, Minerals Engineering, 21, 989, doi.org/10.1016/j.mineng.2008.02.021 ; Kirjavainen (1989), Application of a probability model for the entrainment of hydrophilic particles in froth flotation of Mineral Processing, International Journal, 27, 1. ; Gorain (1999), The empirical prediction of bubble surface area flux in mechanical flotation cells from cell design and operating data No Multiphase models of flotation machine behaviour of Mineral Processing, Minerals Engineering International Journal, 12, 309, doi.org/10.1016/S0892-6875(99)00008-4 ; Yianatos (2006), Characterization of large size flotation cells, Minerals Engineering, 19, 531, doi.org/10.1016/j.mineng.2005.09.005 ; Rahman (2012), The effect of flotation variables on the recovery of different particle size fractions in the froth and the pulp of Mineral Processing, International Journal, 106. ; Kalinowski (2013), Verification of flotation kinetics model for triangular distribution of density function of flotability of coal particles No, Archives of Mining Sciences, 58, 1279, doi.org/10.2478/amsc-2013-0088 ; Woodburn (1970), Mathematical modelling of flotation process and Engineering Xian - ping Xue - kun ping Effects of size distribution on flotation kinetics of Chalcopyrite International Conference on Environment Science and Engineering IPCBEE IACSIT Press Singapore, Minerals Science, 2, 3. ; Duan (2003), Calculation of the flotation rate constant of chalcopyrite particles in an ore of Mineral Processing, International Journal, 72, 227. ; Nguyen (1998), Particle - bubble encounter probability with mobile bubble surfaces of Mineral Processing, International Journal, 55, 73. ; Sripriya (2003), Optimisation of operating variables of fine coal flotation using a com - bination of modified flotation parameters and statistical techniques of Mineral Processing, International Journal, 68, 109. ; Yianatos (2010), Flotation rate distribution in the collection zone of industrial cells, Minerals Engineering, 23, 1030, doi.org/10.1016/j.mineng.2010.05.008 ; Kuopanportti (2000), A model of conditioning in the flotation of a mixture of pyrite and chalcopyrite ores of Mineral Processing, International Journal, 59, 327. ; Çilek (2002), Application of neural networks to predict locked cycle flotation test results, Minerals Engineering, 15, 1095, doi.org/10.1016/S0892-6875(02)00259-5 ; Brożek (2012), The distribution of air bubble size in the pneumo - mechanical flotation machine Archives of Mining No, Sciences, 57, 729. ; Dehghani (2011), The Effect of the Shape of Silica Particles Ground by Ball Mill on their Flotation Kinetics of Scientific Research Iss, American Journal, 29, 33. ; Tsatouhas (2006), Case studies on the performance and characterisation of the froth phase in industrial flotation circuits, Minerals Engineering, 19, 774, doi.org/10.1016/j.mineng.2005.09.033 ; Rath (2013), Optimization of flotation variables for the recovery of hematite particles from BHQ ore of Minerals , Metallurgy and Materials No, International Journal, 20, 605. ; Wang (2011), Shammas Selke Chapter A review of froth flotation control of Mineral Processing, International Journal, 1, 1. ; Hernáinz (1996), Flotation rate of celestite and calcite No, Chemical Engineering Science, 51, 119, doi.org/10.1016/0009-2509(95)00235-9 ; Polat (2000), First - order flotation kinetics models and methods for estimation of the true distribution of flotation rate constants of Mineral Processing, International Journal, 58, 145. ; Runge (2003), a A study of the flotation characteristics of different mineralogical classes in different streams of an industrial circuit Proceedings of XXII International Mineral Processing Congress September Cape Town South Africa, October, 29, 962. ; Runge (2003), Structuring a flotation model for robust prediction of flotation circuit performance Proceedings of XXII International Mineral Processing Congress September Cape Town South Africa, October, 973.

DOI

10.1515/amsc-2015-0059

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