Materials Performance in High-Temperature Black Liquor Gasification
Bibliographic record
Abstract
Abstract Combined cycle gasification of the black liquor waste stream generated in pulp and paper mills offers the potential for more efficient recovery of the energy content of the stream as well as a reduction in emissions and operation of a system without the potential for molten smelt - water explosions. Many companies and organizations have studied, proposed and/or developed black liquor gasification systems. Two of these have been taken to the stage of implementation in operating North American mills. The lower temperature process is being employed at two semi-chem mills; one in Big Island, Virginia, and one in Trenton, Ontario. The higher temperature process is being used at a kraft mill in New Bern, North Carolina. For both processes, the performance of containment materials has been a serious issue. With the higher temperature process, degradation of both refractory and metallic components are a cause for concern. This paper describes the refractories and alloys used in this gasifier, laboratory studies to identify improved refractories, and real-time measurements to monitor the expansion of the refractory. The work has led to the selection of materials that should give considerably longer lifetime than the previously used refractories.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".