Thermo chemical conversion of cedar wood by pyrolysis technology for bio-oil
Bibliographic record
Abstract
The conversion of cedar wood which is abundantly found in the forests of Japan, into biofuels and chemicals by externally heated fixed-bed pyrolysis reactor has been taken into consideration in this study. The selected solid biomass in particle form were fed into the reactor by gravity feed type reactor feeder. The output products were liquid (oil), solid char, and gas. The liquid and char products were collected separately while the gas was flared into the atmosphere. The process conditions were found to influence the product yields significantly. The maximum liquid yields were 48 wt% of solid particles at reactor temperature 450 °C for N2 gas flow rate 6 L/min, feed particle size 1180–1700 µm, and running time 30 min. The liquid product obtained at this optimum condition was characterized by physical properties, chemical analysis, and gas chromatograph mass spectrometry techniques. The results show that it is possible to obtain liquid product from cedar wood that are comparable to petroleum fuels and other valuable chemicals.
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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) | 0.000 | 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 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".