A Study of the Optimal Model of the Flotation Kinetics of Copper Slag from Copper Mine BOR

Abstract

In this study the effect of mixtures of copper slag and flotation tailings from copper mine Bor, Serbia on the flotation results of copper recovery and flotation kinetics parameters in a batch flotation cell has been investigated.By simultaneous adding old flotation tailings in the ball mill at the rate of 9%, it is possible to increase copper recovery for about 20%. These results are compared with obtained copper recovery of pure copper slag.The results of batch flotation test were fitted by MatLab software for modeling the first-order flotation kinetics in order to determine kinetics parameters and define an optimal model of the flotation kinetics. Six kinetic models are tested on the batch flotation copper recovery against flotation time. All models showed good correlation, however the modified Kelsall model provided the best fit.Keywords: copper slag, flotation tailings, flotation kinetics, first-order, model, MatLab W pracy badano wpływ mieszanin żużla miedziowego i odpadów poflotacyjnych w kopalni miedzi Bor na efektywność odzysku miedzi na drodze flotacji oraz parametry kinetyki flotacji w urządzeniu do flotacji pracującego w trybie cyklicznym.Poprzez równoczesne wprowadzenie starych odpadów poflotacyjnych rozdrobnionych w młynie kulowym w ilości 9%, możliwe jest podniesienie poziomu odzysku miedzi o około 20%. Wyniki te porównać można z poziomem odzysku miedzi z czystego żużla.Wyniki badań flotacji porcji wsadu zostały dopasowane przy użyciu oprogramowania MatLab do modelowania kinetyki flotacji (model pierwszego rzędu) w celu określenia parametrów kinetycznych i dla zdefiniowania optymalnego modelu kinetyki procesu flotacji. Przebadano sześć modeli kinetyki, analizując wielkość odzysku miedzi ze wsadu w stosunku do czasu flotacji. Wszystkie modele wykazywały dużą korelację, a najlepsze dopasowanie wykazywał zmodyfikowany model Kelsalla.Słowa kluczowe: żużel miedziowy, odpady poflotacyjne, kinetyka flotacji, model pierwszego rzędu, MatLab

Discrimination of Six Flotation Kinetic Models Used in the Conventional Flotation and Carrier Flotation of −74 μm Coal Fines

“…The experimental data and the predicted results shown in Figures and are represented as time-recovery graphs in Figure to compare the fitting performance among different models. It is obvious that there is little difference among the tested models within one-third of the maximum flotation time (approximately 1 min), which is consistent with the previous research. ,, However, with a further increase in flotation time, model 6 becomes the most suitable model to describe both the processes of conventional flotation and carrier flotation of 51 # and 62 # coals, that is to say, model 6 is more effective in understanding the overall flotation process than other tested models. Mao et al reported that model 6 provided the best fit on the experimental data obtained from recovering high-ash lignite by flotation coupled with simultaneous ultrasonic treatment .…”

“…It is obvious that there is little difference among the tested models within one-third of the maximum flotation time (approximately 1 min), which is consistent with the previous research. 25,27,28…”

Mineralogical Prediction on the Flotation Behavior of Copper and Molybdenum Minerals from Blended Cu–Mo Ores in Seawater

“…The copper grade in the recovered filtrate was measured using ICP-AES. The acid-soluble copper and molybdenum assay relates to the copper and molybdenum minerals associated with the oxide minerals [32]. Therefore, the oxidation degree of copper or molybdenum in the ore was estimated as the ratio of acid-soluble Cu or Mo to the total Cu or Mo (Equations ( 1) and ( 2)).…”

“…According to the flotation results shown in Figure 3, the maximum recovery (R max ) and flotation kinetics coefficient (k) were calculated using the model formula shown in Equation ( 3). This equation is a classical first-order model of flotation kinetics [32][33][34][35]. R max indicates the maximum recovery that can be obtained for a particular mineral and flotation system, whereas k indicates the flotation rate of a mineral.…”

Development of a grinding model based on flotation performance

“…This model can be considered an extension of the model, where the slow fraction has been divided into two fractions that indicate the fine and coarse particle sizes. In addition, 𝑅 ∞ has been added because studies on the Kelsall model with and without 𝑅 ∞ have shown that better results are obtained by including this parameter (Stanojlović and Sokolović, 2014).…”