Performance evaluation of free cyanide control strategies in a simulated gold leaching circuit
Bibliographic record
Abstract
Abstract A phenomenological dynamic model of gold ore leaching process in agitated tanks is derived and calibrated with a set of industrial data. This model is used to simulate the dynamic behaviour of a three‐tank industrial plant and to test the performance of 12 different free cyanide feedback control strategies. The performance of the control strategies faced to step disturbances is quantified using an economic objective criterion, for both steady‐state and dynamic operating regimes. The results of set‐point changes for the three‐tank cascade show responses like those of a linear system for first, second, and third orders, since the tanks behave as perfect mixers. The steady‐state and dynamic results for the uncontrolled plant show large losses of gold at low cyanide consumption, while regulatory control of the cyanide concentrations in the first tank helps improve the economic efficiency. However, in the presence of disturbances other than those related to cyanide concentrations, the control of cyanide at constant set‐points might be detrimental to the plant economic performance and would require a supervisory optimal control of the set‐point values.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".