Feasibility of Producing Caustic Calcined Magnesia in Multiple Hearth Furnaces
Bibliographic record
Abstract
The magnesite (MgCO3) obtained from the magnesite mine in Strezovc, Kosovo is used as the raw material to produce caustic calcined magnesia (CCM) using roasting in rotary furnaces. The process takes place at temperatures between 600-850°C, which enables complete dissociation of magnesium carbonate and produces CCM as a very active powder. The ore enters at one end of the rotary furnace, passes through it in rotary movement, while the temperature increases and CCM is obtained at the end of the furnace. One the disadvantages of this process is the large amount of dust in the gas that reaches up to 30-35% of the total amount of raw materials. An alternative technology of producing CCM is the Multiple Hearth Furnace, which is a vertical furnace with a number of circular hearths on top of each other, a central shaft, rakes and rabble arms. The ore enters in the upper parts of the furnace and moves toward the floor through multiple hearths while gases go in opposite directions, heating the materials that come down towards the floor. The object of this work is to evaluate, in cooperation with FLOGEN Technologies Inc. Canada/USA, the feasibility of producing CCM in the Multiple Hearth Furnace instead of the rotary furnace in terms of technical, economic, and environmental aspects.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".