3. Results
The results of this study are structured as follows: first, the raw material was characterized using a suite of analytical techniques, including optical microscopy and Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES). The initial sample was then ground to the target particle size in a laboratory mill. Following the grinding stage, pulp samples were dried and submitted for mineralogical analysis to evaluate the degree of mineral liberation and visualize particle morphology.
Table 2 summarizes the chemical composition of the primary sample.
Copper Speciation Analysis
To evaluate the potential for copper recovery, phase analysis was performed to determine the distribution of copper across different chemical forms (
Table 3).
The results of the optical mineralogy study of the legacy tailings are presented below. This examination established the mineral composition of both the ore and gangue fractions, grain morphology and size distribution, and the specific characteristics of mineral associations within the anthropogenic processing products. Chalcopyrite is the most abundant copper sulfide in the sample. Its grains are most commonly observed as intergrowths with gangue minerals or in a liberated state. In certain areas, it occurs in association with pyrite (see
Figure 1a–c), magnetite (
Figure 1a), sphalerite, and bornite. The predominant (average) grain size of chalcopyrite is characterized as ultra-fine (1–10 μm) and fine (10–30 μm), although relatively coarser grains (40–60–120 μm) are occasionally encountered.
Bornite. covellite. and chalcocite are observed only as accessory minerals and are extremely rare. The grain size for these minerals typically ranges from less than 1 μm up to 80 μm.
The particle size distribution (PSD) of the legacy tailings sample. categorized by size fractions. is presented in
Table 4.
The initial analysis showed that the -0.045+0 mm fraction dominates the sample with a weight recovery of 51.66% while the total content of the finished size class (-0.071 mm) reaches 73.42%. Interestingly, the copper distribution across all size fractions is directly proportional to their weight. This correlation points to a fine-grained and relatively uniform mineralization, suggesting that the valuable components are not implementedd in specific pockets, but are spread throughout the material.
To better understand how these components are distributed within the finest particles, the -0.071+0 mm fraction, including micro-slimes. This detailed analysis was performed using a Cyclosizer with the results summarized in
Table 5.
The data in
Table 5 highlight a significant challenge: the highest copper distribution (39.95%) is concentrated in the finest fraction (-8.4+0 μm). The presence of a substantial amount of these micro-slimes (26.85% of the total mass), coupled with their high metal content. confirms the extremely fine-grained nature of the copper mineralization. From a metallurgical perspective this often hinders flotation due to the detrimental effect of 'slime coating' where ultra-fine particles interfere with the recovery of valuable minerals.
To address this and find the optimal balance for mineral liberation, a series of laboratory experiments were conducted using different grinding times. The resulting particle size distributions for these ground samples are presented in
Table 6.
A series of experimental studies were conducted to determine how the degree of grinding influences copper recovery. To evaluate the effectiveness of surface activation these experiments were carried out both with the addition of sodium sulfide and in its absence. This comparative approach allows isolation of the impact of chemical activation from physical liberation. The experimental procedure and flowsheets are illustrated in
Figure 2.
The metallurgical performance results. detailing the grades and recovery rates of copper. are summarized in
Table 7.
The data in
Table 7 clearly indicate that copper recovery is not solely dependent on the fineness of the grind, but is significantly enhanced by the addition of sodium sulfide. For the as-received tailings (without regrinding) the introduction of Na
2S increased recovery from 13.74% to 17.54% (a net gain of 3.8%). The impact of regrinding becomes far more pronounced when combined with chemical activation. For instance, at -0.045 mm content of 77% copper recovery rose from 16.26% (without Na
2S) to 36.37% (with Na
2S). Furthermore, ultra-fine grinding (UFG) pushed the recovery even higher, reaching 50.43–51.47%. However, it is important to note the Hancock-Luyken enrichment efficiency. which remained within the 33.52-34.26% range. Once the -0.045 mm fraction exceeds 90% the growth in efficiency begins to decelerate. This trend suggests that the process is approaching an optimal technical limit. where further energy expenditure for grinding may no longer yield proportional metallurgical benefits.
Based on the trends illustrated in
Figure 3, several key observations can be made regarding the experiments conducted without the addition of sodium sulfide:
- -
maximum Recovery Plateau: The highest copper recovery values (ranging from 16.26% to 15.56%) were achieved at a grinding fineness of 77-81% (-0.045 mm). Enrichment Efficiency: The Hancock-Luyken enrichment efficiency at these fineness levels was recorded as 12.56% (for 77% passing) and 12.70% (for 81% passing).
- -
Marginal Gains: The negligible difference of only 0.14% between these efficiency rates indicates that further grinding beyond 77% - in the absence of chemical activation- does not lead to any significant metallurgical improvement.
The approximation of the experimental data using a second-order polynomial function yielded high coefficients of determination: R² = 0.8698 and R² = 0.9397. These values confirm a strong nonlinear relationship between the degree of grinding and copper recovery into the concentrate. Furthermore, the high correlation coefficients validate the reliability of the observed dependencies and ensure the statistical significance of the experimental results.
Following the baseline tests, experiments were conducted with the addition of sodium sulfide (Na
2S) acting as a sulfidizing agent for the oxidized copper minerals. This step was essential, as the sample contains a high proportion of oxidized species 53.84%, including 17.08% chrysocolla. which is notoriously difficult to recover. As shown in
Figure 3, the second-order polynomial approximation demonstrates a high degree of fit with R² = 0.9094, confirming the strong predictability of the recovery trend under sulfidizing conditions.
To better understand the chemical environment during flotation, real-time measurements of pH, qxidation-Reduction Potential (ORP), and temperature were recorded.
The dynamics of these electrochemical parameters are presented in
Table 8.
The measurements conducted indicate that the degree of grinding directly influences the electrochemical characteristics of the mineral pulp, as the -0.045 mm fraction increased from 65% to 100%, a moderate decrease in pH (from 7.77 to 7.49–7.6) was observed, accompanied by more pronounced shifts in the ORP. The introduction of sodium sulfide triggered a sharp decline in ORP, which stabilized at -150 mV regardless of the grinding fineness. This creates a potent reducing environment conducive to the flotation of oxidized copper species. Simultaneously, the pH values rose to approximately 8.6, a change directly attributed to the alkaline nature of sodium sulfide. These electrochemical conditions facilitate effective surface activation, which is essential for the subsequent adsorption of collectors on the mineral surfaces.
The dependence of ORP changes on the grinding fineness is shown in
Figure 4.
The results presented in
Figure 4, indicate that in the absence of Na
2S, the ORP decreases from +44 mV at 65% fineness to -58 mV at 81% fineness. This trend suggests a reduction of the medium as grinding intensifies. which facilitates the removal of slimes and gangue from the copper mineral surfaces.
Laboratory tests were conducted using a conventional flotation circuit (rougher flotation followed by three cleaning stages) until the copper grade and recovery metrics stabilized across seven individual samples.
Figure 5.
Locked-cycle laboratory experiment flowsheet.
Figure 5.
Locked-cycle laboratory experiment flowsheet.
The conditions of the laboratory tests and the corresponding results are presented in
Table 9.
During the locked-cycle test conducted in accordance with the presented flowsheet and reagent regime, a copper concentrate with a grade of 9.315% was obtained at a recovery of 47.60%.