Comparison of the Performance of Biomass Briquette Stoves on Three Types of Stove Wall Materials
Bibliographic record
Abstract
The performance analysis of the biomass briquette stove has been carried out. The research was conducted with three variations of stove wall materials (clay, steel, and aluminum) and with several variations of shell diameter of the burning chamber (140mm, 150mm, 160mm, 170mm, and 180mm). The fuel used is coconut shell briquettes. The results showed that the maximum fire temperature of clay, steel, and aluminum stoves was obtained, respectively 798℃, 617℃, 508℃ and thermal efficiency of 73.66% for clay followed by a steel stove of 38.98% and the lowest is obtained on an aluminum-based stove, which is only 11.49%. Furthermore, the diameter of the shell optimum is 180 mm for clay, 160 for steel, and 170 for aluminum.
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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".