Effects of biodiesel ratio and nozzle diameter on combustion and emissions of a biodiesel–DME-fueled engine
Bibliographic record
Abstract
This paper compares the combustion behavior and emission of a turbocharged compression ignition engine fueled with biodiesel BD100, dimethyl ether DME100, low-proportioned biodiesel blends BD30, and medium-proportioned biodiesel blends BD50. The impacts of biodiesel ratio and nozzle diameter on combustion and emissions characteristics were determined. The findings show that BD100 with a nozzle 6 × 0.24 mm has the highest value of maximum pressure, maximum pressure rise rate, maximum heat release rate, and NOx emissions. DME100 with a nozzle of 6 × 0.40 mm has the lowest values. CO emissions and HC emissions of BD100 with a nozzle 6 × 0.24 mm and DME100 with nozzles 6 × 0.40 mm and 6 × 0.35 mm gradually decrease. Among biodiesel blends, BD30 and BD50 with two types of nozzles, BD30 with a nozzle 6 × 0.40 mm has the lowest value of maximum pressure, maximum pressure rise rate, NOx emissions, and soot emissions. Compared with BD50, BD30 with nozzles 6 × 0.35 mm and 6 × 0.40 mm has lower CO emissions, HC emissions, and smoke emissions.
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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".