Reduction a Particulate Matter of Diesel Emission by the Use of Several Oxygenated Diesel Blend Fuels
Bibliographic record
Abstract
Oxygenated diesel fuel blends have a prospective effectiveness to reduce a particulate matter (PM) emissions and powerfully to be an effective alternative instead of diesel fuel. This manuscript investigates the emission characteristics of four combinations of oxygenated diesel fuel blends in terms of ethanol, TGME, Glyme and Diglyme. Two blended fuels containing 5% and 15 % by volume for each oxygenated additives was prepared. Pure diesel fuel was used as a base fuel for all oxygenated diesel blends. The experiments were conducted using four cylinders, four stroke compression ignition Toyota Hilux Pickup of engine capacity (2494 cc) model 2006, inline DOHC 16 Valve. The experimental results showed that (i) the higher engine speed is produced lower PM emissions; (ii) the PM emitted by all the oxygenated diesel blends is significantly lower than of the corresponding pure diesel fuel; (iii) the increase of oxygenated percentage in the diesel blends, the PM emission decreases; (iv) A maximum and minimum of PM reduction was occurred when the engine fueled by 15 % by volume for ethanol and by 5 % by volume for TGME respectively.
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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".