Experimental study on effects of pilot injection mass strategy on combustion, Performance and emission characteristics of CRDI Engine
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
This experimental work reports how different pilot masses of biodiesel-blended fuel in Common Rail Direct Injection (CRDI) engines affect engine performance, combustion, and emissions. This experiment used 20MEWCO (20 % Methyl Esters of Waste Cooking Oil + 80 % Diesel) as the test fuel. Several parameters, such as timing and injection mass, affect how the CRDI system delivers fuel. In this work, the pilot injection mass was varied by 5 %, 7.5 %, and 10 %, keeping other factors such as injection pressure at 500 bar and the timing of the pilot and main injections at 36°Crank Angle before Top Dead Centre (bTDC) and 15°Crank Angle before Top Dead Centre (bTDC), respectively. This work reveals that when pilot mass is increased in steps of 2.5%, the combustion performance parameters like cylinder pressure, heat release rate and specific fuel consumption values decrease. Also, it gave off less smoke, carbon monoxide and hydrocarbons than regular diesel with more nitrous oxide. Also, it was found that at 10 % of the pilot mass, carbon monoxide, hydrocarbon, and smoke emissions were significantly reduced, with a slight rise in oxide of nitrogen emissions at the same time, without affecting the engine performance.
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