A Parametric Study of Biodiesel Production Under Ultrasounds
Bibliographic record
Abstract
Abstract Biodiesel, a vegetable oil-derived fuel, can be used as a partial or complete substitute to diesel oil. The main argument for its usage in internal combustion engines is its net CO 2 balance which is considerably reduced compared to diesel fuel of fossil origin. A systematic study of ultrasound continuous biodiesel production using canola oil was conducted in the presence of methanol and sodium methoxide as catalyst. Effects of various reaction parameters such as residence time, catalyst concentration, reaction temperature, ultrasounds amplitude and power, methanol/oil molar ratio were analyzed. Fatty acid methyl esters were produced rapidly by using ultrasound assisted transesterification. In typical conditions (35 °C) conversion to FAME higher than 80 % could be reached at residence time as low as 20 s. The parametric study allowed to establish that the effect of ultrasound wave on transesterification reaction rate is localized in a very small volume surrounding the sonotrode tip. This unprecedented conclusion has significant consequences for the design of the large scale continuous flow biodiesel production reactor.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".