Enhancing flotation beneficiation efficiency of complex ores using ionometry methods

Enhancing flotation beneficiation efficiency of complex ores using ionometry methods

Introduction

The processing of mineral raw materials with low grade of commercially valuable components poses challenges for industrial enterprises aiming to modernize production. Currently, most enterprises address the problem of replenishing losses in concentrate production by increasing the volume of ore processed [1]. Additionally, efforts to increase or replenish the concentrate produced often result in the neglect of integrated subsoil usage, compromising the achievement of sustainable development goals in the mineral sector [2, 3].

Applying a more flexible approach through the use of modern automation technologies, as opposed to extensive method, enables the simultaneous resolution for both economic and, more importantly, environmental issues [4]. In the modernization of technologies at processing plants, researchers typically focus on optimizing the costliest stage, ore preparation [5]. While these efforts are crucial in reducing the final costs of the products obtained, the challenges of enhancing the comprehensiveness and depth of processing are predominantly addresses by intensifying the main stage: the flotation process [6–8].

In the contemporary practice of flotation beneficiation, the variability of the processed raw materials, especially due to ore heterogeneity, is one of the adverse factors affecting process performance [9]. This variability complicates the automatic control of the flotation process and the of dosing flotation reagents, thereby deteriorating both the qualitative and quantitative process indicators[10].

The selection of a reagent regime when studying ores for flotation dressability also poses challenges. Typically, this involves a step-by-step determination of the optimal consumption of each reagent type to establish the optimum conditions, or it involves applying various optimum plans. Although these methods are well-established, they require significant effort to conduct the testwork. For example, the commonly used Box-Behnken design necessitates 17 tests (in the simplest case, without repetitions). An alternative is the use of ionometry, measuring and recording electrode potentials. This approach, while established in electrochemical research, lacks a generally accepted methodology for its application in selecting reagent regimes and requires further refinement.

Therefore, the purpose of this work is to develop and test a methodological approach for studying flotation using ionometry.

To achieve this goal, we compared two approaches to designing tests for initial study of raw material dressability. The first, traditional approach uses a methodology to develop an optimal testwork plan, taking proposed flotation reagents’ consumption values as predictors (calculated in grams per tonne) to find the conditions providing the best quality indicators. The second approach utilizes ion-selective sensors (electrodes).

Theory

The flotation process, from the standpoint of automatic control and regulation, can be conditionally divided into three consecutive stages. The first stage, ore pulp preparation (ore grinding, adding water and modifying reagents, and the interaction of the ore with the reagents in the pulp), encapsulates the physicochemical essence of flotation. The second stage, the hydrodynamic one, includes the automatic stabilization of airflow rate and pulp level in a flotation machine, as well as other actuators controlling the process. The third stage involves adjusting the froth layer characteristics, where the secondary beneficiation of the processed raw materials occurs [11]. The first stage is of particular interest as it is the primary contributor to producing high-quality concentrate.

One approache to automatic process control involves studying the electrochemical properties of the flotation pulp. The importance of optimizing flotation based on ionometry was recognized as early as 1933–1934 when Wark and Cox first researched the relationship between the wetting contact angle and the pH value [5]. Their work also notes that pH is an important parameter in flotation processes. Over the years, pH remained the sole electrochemical parameter recognized in ore flotation dressability studies. However, analyzing additional parameters, such as electrode potentials, can uncover implicit dependencies and enhance overall process efficiency by creating digital twins of a particular processing stage or an entire plant flow sheet [12–14]. Recent publications have addressed this topic. For example, papers [15, 16] describe a “Digital Plant” project implementation: using the bulk flotation area of the Talnakh processing plant, a digital twin of an operator was created – a system that simulates the actions of an operator, stabilizes the flotation process, and performs control actions in real time [15]. Works [17, 18] emphasize the use of ion-selective electrodes for electrochemical pulp monitoring. The data obtained allowed for the investigation of electrochemical corrosion processes and the formation of coordination compounds of BtX with metals. After analyzing this data, the informative value of film membrane ion-selective EM electrode potentials was demonstrated. The investigation into the kinetics of potential shifts of a film membrane electrode within the decopperization and deironing circuit for rougher zinc concentrate at the Uchaly processing plant revealed substantial deviation of the electrode’s potential values into negative territory. These deviations did not match the actual concentrations of free xanthate ions in the pulp. The markedly negative potential recorded by film membrane electrode indicate the formation of complexes between xanthate ions and zinc cations. Additionally, patent [19] describes a pioneering practical shift from establishing control measures on “g/t” to applying mass ratios of pulp components that form sulfoxide complex, acting as depressants for Ni and Fe. Here, bisulfite ions were employed as sulfoxide depressants, with a maintained mass balance between iron ions, thiosulfate ions, and bisulfite ions in the pulp’s liquid phase. This industrial innovation highlights the potential for iron sulfite complex formation within the pulp, which can strongly adhere to the surface of nickel and pyrrhotite (sulfides) as hydrophilic anions, resulting in their depression.

While electrode use in enhancing flotation processes is not novel, the application of such knowledge to ore dressability studies is notably lacking, especially given the absence of a standardized methodological approach. The literature reviewed focuses on operational technologies, underlining the critical need to bridge this knowledge gap.

Research Materials and Techniques

Complex copper ores, comprised: 0.75% Cu, 23.48% Fe, 2.49% S, 64.61% SiO₂, were chosen for this study. The mineralogical composition of the sample used in the research is presented in Table 1.

Table 1

Mineralogical composition of the sample

Preliminarily tests were carried out to determine the optinal grinding duration for the initial sample to achieve the liberation of mineral components, targeting a yield of 65% for the –0.071 mm grain size class. These tests were performed in a laboratory mill, MShL-7, with a ball load constituting 40% of the volume (9 kg) and a rotational speed set to 80% of the critical speed. The kinetic studies indicated that the required grinding time to reach the desired grain size was 12 min and 10 s.

Flotation beneficiation tests were conducted using a 3-L cell pneumatic-mechanical flotation machine from Vektis Minerals LLC. The material, immediately after grinding, was introduced to the cell where it interacted with flotation reagents according to a test plan.

The reagents employed included: CaO as a medium regulator, Na2S as a depressant (sulfidizer), and BtX (butyl potassium xanthate) as a collector. The tests protocol was as follows: the initial subsample with a grain size of –2.0 mm was milled to achieve 65% passing –0.071 mm, during which dry medium regulator (CaO) was also incorporated. Subsequently, the 1st rougher flotation was carried out with the addition of Na₂S and BtX reagents, along with a constant T-80 frother dosage of 40 g/t. While the purpose of this research was not the selection and comparison of various reagents – although such an evaluation is extremely pertinent in the current economic climate – approach described below can be adapted for that purpose as well.

After the test, the beneficiation products were dried and analyzed using an EDX-8000P energy-dispersive X-ray fluorescent spectrometer, capable of detecting elements from C to U, manufactured by Shimadzu. Sample preparation for measurements involved obtaining a representative subsample weighing 5 ± 1 g followed by comminution.

During flotation beneficiation, the pulp’s electrochemical properties were monitored using a laboratory setup (Fig. 1), consisting of an array of electrodes connected to an EMF-16 Precision Electrochemistry Interface for real-time data acquisition redox and ion-selective electrodes (supporting up to 16 channels).

Fig. 1. Laboratory setup for monitoring electrochemical parameters in a flotation machine cell (complied by the authors)

The following ion-selective sensors (electrodes) were used to examine the feedstock’s electrochemical properties: a pH electrode for assessing hydrogen ions concentration in the pulp/water [20]; an Ag2S-electrode [21]; an EM – membrane electrode [22]; and an Pt electrode to determine the medium’s redox potential [23]. In line with the developed methodology’s requirements for electrochemical measurements, the ion-selective electrodes were calibrated to establish the electrochemical model necessary for diagnosing xanthate consumption and selecting the appropriate electrode set¹ [24, 25].

The electrodes’ performance was gauged by calculating the slope of the electrode function, which for a singly charged component should be 59 ± 5, in accordance with the Nernst equation [26–28].

Calibration of pH electrodes followed a standard procedure, using buffer solutions and accounting for the temperature of the medium under examination.

¹Romashev A. O., Yakovleva T. A., Gatiyatullin B. L. Computer program No. 2023680109. A program for selecting ion-selective sensors based on calibration data. Application submission: 2023-09-14, patent publication: 26.09.2023.

Results and Discussion

The initial phase of our flotation beneficiation research was conducted using a “classical” method, where we assembled a matrix for a three-factor D-optimal experiment [29]. This types of designs are widely used in various scientific disciplines for their superior capability in assessing the nonlinear impacts of factors [30–32]. The structure and design of the D-factor experiment are shown in Fig. 2 and Table 2, respectively. The consumptions of the aforementioned reagents were selected as predictors, and the consumption intervals were chosen based of an analysis of literature sources and operation experience from similar enterprises. As an optimization criterion, the Hankok–Luyken efficiency criterion for copper was used. This criterion serves as a technological optimization measure because it includes qualitative beneficiation indicators and generally reflects the degree of current beneficiation expertise relative to the maximum potential experience, the so-called case of “ideal” beneficiation. A total of 20 flotation tests were carried out (including repetitions in central points) within the prescribed consumption ranges of the experiment plan. From the products of each test, three representative samples were taken to analyze qualitative indicators, and the arithmetic mean of these three measurements was considered the final result. It should be noted that this work only addressed the rougher flotation stage, omitting additional flotation operations needed to produce standard products.

Fig. 2. Matrix of the D-factor experiment and flowchart for the series of tests (compiled by the authors)

Table 2

Testwork design and outcomes

Our statistical analysis for model adequacy showed an insubstantial effect of CaO consumption on flotation efficiency (Fig. 3), with no marked efficiency improvement upon increasing its usage. The local peaks arise from the influence of other factors.

Fig. 3. Effect of CaO consumption on beneficiation efficiency (compiled by the authors)

Hence, it is judicious to assign a zero consumption level for this reagent for the samples under scrutiny. The analysis of the response surface of the efficiency of the beneficiation process, as a function of the consumption of Na₂S and BtX, allows us to conclude that there is a local peak under the given test conditions (Fig. 4).

Fig. 4. Response surface of the beneficiation process efficiency as a function of Na2S and BtX consumption, based on results from the D-factor experiment (compiled by the authors)

To find the optimal consumption corresponding to the point of the local peak, the gradient search method was used, suitable for analyzing complex nonlinear dependencies. The solution found enabled the establishment of the consumptions for CaO, Na₂S, and BtX at 0, 49.64, and 103.48 g/t, respectively.

According to the resulting model, the beneficiation efficiency at these parameters is 74.34%. To confirm the data obtained, an additional series of tests were carried out using the determined consumption values, and the averaged results (with each experiment was repeated 3 times) are presented in Table 3. The copper recovery to the concentrate of the 1st rougher flotation was 75.8%, with a copper grade of 16.20% and a beneficiation efficiency of 72.81%, which had a relative error of 2.05% compared to the model data.

Table 3

Results of open flotation tests at varying consumptions of selected reagents

The second stage of the research involved dressability tests with electrochemical parameter monitoring. A generalized flowchart of the research using ion-selective sensors is depicted in Fig. 5. This flowchart is divided into three stages. Stages 1 and 2 are conducted during the initial examination of a sample prior to flotation beneficiation. The information obtained at these stages first allows for the identification of the most sensitive electrode pairs (stage 1) and secondly determines the target values for the argentite electrode potential and the stabilization time. The selection technique is more fully described in [27] and [33].

Fig. 5. Flowchart of flotation studies with ion-selective sensors (compiled by the authors)

Within the framework of this flowchart, tests to investigate the electrochemical properties of the initial pulp were conducted. The schematic of these tests is shown in Fig. 6.

Fig. 6. Flow chart of a series of tests: a – without aeration; b – with preliminary aeration (compiled by the authors)

The method for investigating the electrochemical properties of ore pulp entails studying the kinetics of changes in the electrochemical parameters of the pulp, using a multisensor potentiometric system that monitors the potentials of electrodes installed directly in the pulp [27]. Then, an indicator (xanthate) is introduced into the resulting pulp both with and without preliminary aeration (Fig. 6, b and a, respectively).

Based on the obtained potentiograms of the absolute electrochemical potentials and diagnostic models, conclusions were drawn about the main components of the pulp that adversely or positively impact performance of the technological process. The results of the tests investigating the initial electrochemical parameters of the pulp are illustrated in Fig. 7.

Fig 7. Results of tests investigating initial electrochemical parameters: a – without aeration; b – with preliminary aeration (compiled by the authors)

After mixing the initial sample pulp, the potentials of the Mo, Pt, and Ag₂S electrodes shifted to the negative zone (Fig. 7, a, b). The potentiograms show a sharp increase in potential values during pulp aeration (point 3 in Fig. 7, a, b), which could be attributed to redox processes occurring [27]. The significantly negative potential of the Ag2S electrode upon mixing the initial pulp (after grinding) (point 1 in Fig. 7, a, b) suggests the presence of complexation processes, corroborated by changes in the kinetics of the film (membrane) ion-selective EM electrode potential. The Ag₂S electrode readings, during aeration tests (point 3, Fig. 7, a, b), indicate that Cu²⁺ cations enter the pulp, binding the initial xanthate portions (i.e., xanthate binds to copper cations). Therefore, the incremental addition of Na₂S could depress mineral surfaces and neutralize (mitigate) this adverse effect.

The results of this test are presented in Fig. 8  and Table 4. In Fig. 8, four zones of electrode function readings are discernible. Zone I shows a flattening of the electrode function. In Zone II, monitoring of the initial pulp parameters revealed the Ag₂S electrode potential in negative zone at –320 to –330 mV, likely due to soluble elements in the ore generating Fe2+ ions in the pulp. During Zone III, the Na₂S reagent was titrated for three minutes [33], a technique employed to sustain the Ag₂S electrode potential at –450 mV [27]. In Zone IV, xanthate and air were introduced.

Fig. 8. Potentiogram displaying the kinetics of changes in Ag2S electrode potential (compiled by the authors)

Table 4

Results of open flotation tests at Ag₂S potential maintained at –450 mV

The batched reagent consumptions were as follows: Na₂S – 15 g/t and BtX – 100 g/t. The test results showed that the 1^st rougher flotation concentrate grade increased from 16.05 to 19.89% Cu, while the Cu content in the tailings decreased from 0.26 to 0.18%. Consequently, Cu recovery rose by 7.37%. The beneficiation efficiency reached 80.61%, which was 7.8% higher than the target value obtained from the experimental design.

These results imply that the beneficiation  flowchart for this raw material might effectively comprise only three operations: 1^st and 2^nd rougher flotations, as well as a scavenging flotation, since the 1st rougher flotation already achieves substantial recovery of sulfides into bulk concentrate.

Conclusion

The studies conducted have validated the effectiveness of ionometry methods for investigating ore dressability. By adjusting reagent feed and concurrently monitoring electrode potentials, we achieved a 7.8% increase in beneficiation efficiency within a single operation.

The research and the methodology introduced for examining the electrochemical properties of pulp enable rapid identification and management adverse factors affecting flotation, leading to enhance process quality indicators. The reducing in investigation time and the possibility of indirect real-time monitoring are also of notable importance. This method can serve as a blueprint for a production process, placing monitoring points throughout the production flowchart, and permits the real-time analysis of industrial beneficiation processes and, with provision for on-thefly adjustment reagents feeding points in the flotation process. A significant benefit of systems based on ion-selective sensors is their capability to deliver operational control data with minimal delay. The information and diagnostic models generated can help to minimize the influence of human error and reduce production costs through optimal reagent dosing. Looking ahead, the rapid advancement of artificial intelligence systems promises the development of self-learning systems employing neural network technology. These systems could function as an “interactive assistant”, offering real-time mode-adjustment recommendations with zero lag, leading to significant costs savings and significant economic benefits.