Kinetic investigation on the recovery of copper and cobalt from sulphuric acid plant electrofilter dust
Bibliographic record
Abstract
Abstract Several waste dusts collecting equipment options are available for air pollution control in plants, the most commonly used being the electrofilter. Industrial wastes such as electrofilter dust are evaluated as a secondary resource owing to their critical metal contents. In this work, the results of studies on the extraction of cobalt and copper from electrofilter dust generated in sulphuric acid production plants are presented. The chemical and mineralogical compositions of the dust were investigated using instrumental analytical methods. The electrofilter dust consists of the main phases of haematite, quartz, and anhydrite. Also, electrofilter dust contains 1.43% copper and 0.28% cobalt. It was found that the process of copper and cobalt dissolution is characterized by chemical kinetics. When the acid leaching was applied in 1 M sulphuric acid in the presence of 0.05 M hydrogen peroxide, with the temperature 80°C and 2 h of leaching time, stirring rate of 200 rpm and liquid to solid ratio 20/1 v/w, cobalt and copper extraction achieved 88% and 98% respectively. As a result of studying the kinetics of acid leaching with sulphuric acid in the presence of oxidant hydrogen peroxide, activation energy and the type of reaction to chemical controlled model were determined.
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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 | 0.000 | 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 | 0.000 |
| 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".