Bibliographic record
Abstract
Hemlock sawdust with an average size of 0.67 mm and moisture content 5% was gasified in a 7.6 cm diameter fluidized bed with four different fluidizing media, namely, nitrogen, carbon dioxide, air and a mixture of steam and nitrogen. The static bed height was 20 cm and the bed material was 0.55 mm diameter Ottawa sand. The bed was operated at 1 - 1.5 times the minimum fluidization velocity. The major objective of the present study was to examine the quality of the gas produced with the different gasifying media as a function of the reactor temperature. Due to the difficulty in controlling the solid feedrate, it was not possible to maintain the gas/dry solid ratio (w/w) constant for runs using a particular fluidizing medium. The dry solid feedrate varied from 0.03 to 0.24 g/s, and for most runs, it was in the vicinity of 0.1 g/s. Both production rate and quality of the gas generally increased with temperature and were very sensitive to the type of fluidizing medium used. For nitrogen pyrolysis, the net gas heating value increases from 11.7 to 13.7 MJ/std.m³ when the temperature is increased from 410 to 690°C. Addition of steam to nitrogen produced gases of heating values 6.5 to 14.6 MJ/std.m³ on a nitrogen free basis, as temperature increased from 420 to 600°C. Carbon dioxide pyrolysis produces a gas with heating value-3.68-12.78 MJ/std.m³ between the temperature range 420-517°C. In contrast to the above systems, only low-Btu gas is produced with air gasification between 440 and 670°C. The calorific value of the raw gas produced at 670°C is 1.35 MJ/std.m³.
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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 | 0.000 | 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) | 0.001 | 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".