Process development studies by Dynatec for the pressure leaching of HBMS copper sulphide concentrates
Bibliographic record
Abstract
Preliminary process development studies have been conducted by Dynatec on a hydrometallurgical process for treatment of Hudson Bay Mining & Smelting (HBMS) copper concentrates for possible replacement of the existing smelting operation at Flin Flon, Manitoba, Canada. The studies consisted of the development of a conceptual process flowsheet for the treatment of copper sulphide concentrates containing significant levels of zinc and precious metals, and the generation of sufficient process data from batch testwork for preliminary estimations of capital and operating costs for a copper pressure leaching facility. In the proposed process flowsheet, the copper and zinc are solubilized in the pressure leach operation and the leach solution is processed in solvent extraction and electrowinning operations to separate and recover copper as high purity copper cathode product. To recover the zinc and to maintain an overall sulphate balance in the plant a bleed stream of solvent extraction raffinate solution is processed through acid neutralization and iron-copper removal operations, producing a zinc sulphate solution relatively low in copper and other impurities. The zinc sulphate solution, with a Zn:Cu ratio of 100:1 or greater, may be treated with lime to precipitate basic zinc sulphate (BZS), or added directly to an appropriate circuit in the existing HBMS Zinc Plant. Laboratory batch testwork results indicate that improved copper and zinc recoveries, and similar gold and silver recoveries, can be obtained in the proposed process flowsheet compared to the existing smelter operations. The conceptual process flowsheet and the key results from the laboratory batch testwork program are presented in this paper.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".