The Impact of Liquid Properties of Edible-Oil Diesel Fuel on the In-Cylinder Combustion Process
Bibliographic record
Abstract
Pure edible oils may be used as a diesel fuel. They are nevertheless likely to produce deposits harmful to the engine. The liquid properties have been identified as a major issue but the details of the physical process leading to deposits are not well understood. This paper deals with simulations of a single-cylinder research diesel engine using virtual fuels which show the effects of different liquid properties. The aim is to investigate the impact on the in-cylinder processes of each property change from a conventional alkane to a fatty acid. The critical temperature, which makes fatty acid much less volatile than conventional diesel, has the biggest impact. It strongly delays the release of fuel into the gas phase and extends the combustion time. The effects of droplet break-up, heating and density are marginal. Globally, a longer survival time of droplets tends to spread the combustion and rich mixture zones as well as increase the probability of wall wetting. The swirl motion is likely to expose the droplets to the cooler cylinder walls, which leads to further problems in vaporizing the fuel and completing the combustion process. The findings may be used to explain carbon deposits and lubricating oil contamination.
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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".