A novel alternative fuel mixture (diesel–biodiesel–pentanol) for the existing unmodified direct injection diesel engine: performance and emission characteristics
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The present study investigated the performance and emission characteristics of a single cylinder direct injection diesel engine fuelled with diesel – jatropha biodiesel – pentanol blends. The test fuels used for the experiment include diesel fuel (Diesel), 80% diesel (v/v) – 20% jatropha biodiesel (v/v) (D80J20), 70% diesel (v/v) – 20% jatropha biodiesel (v/v) – 10% pentanol (v/v) (D70J20P10), and 60% diesel (v/v) – 20% jatropha biodiesel (v/v) – 20% pentanol (v/v) (D60J20P20). Studied performance characteristics include brake specific fuel consumption and torque, while emission characteristics include carbon monoxide, nitrogen oxides, and smoke opacity. Experimental results revealed that the addition of pentanol influenced a reduction in brake power and torque with a noticeable improvement in engine exhaust emissions. To conclude, the addition of pentanol (20%, v/v) to diesel–jatropha blends resulted in lowered CO, NO x , and smoke opacity by 41.76%, 27.6%, and 32.4%, respectively, because of improved oxygen content of the resulting ternary mixture and improved combustion efficiency.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it