An experimental and numerical study of natural gas/diesel dual-fuel engine at low load: effect of diesel fuel injection timing
Bibliographic record
Abstract
One of the most promising alternative combustion strategies is natural gas/diesel dual-fuel combustion. It consists of preparing a premixed mixture of a gaseous fuel and air, whose ignition is triggered by the injection of a small amount of more ignitable fuel, usually diesel fuel. However, this combustion mode still suffers from low thermal efficiency and high level of unburned methane and CO emissions at low load conditions. The present paper reports the results of an experimental and numerical study on the effect of diesel injection timings (10 to 50 °BTDC) on the combustion performance and emissions of dual-fuel combustion at 25% engine load. Analysis of OH spatial distribution shows that, at very advanced diesel injection timings, the non-reactive mixture zones are much lower in OH concentration than other injection timings during the last stages of combustion, indicating a more predominant premixed combustion mode. At retarded diesel injection timings, the consumption of premixed fuel in the outer part of the charge is likely to be a significant challenge for dual-fuel combustion engine at low load conditions. However, with advancing the diesel injection timing, the OH radical becomes more uniform throughout the combustion chamber which confirms that high temperature combustion reactions can occur in the central part of the charge. NOx, unburned methane, and CO emissions are reduced while at the same time the highest indicated thermal efficiency is achieved at very advanced diesel injection timings of 46 and 50°BTDC.
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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".