Techniques for Predicting Combustion Chamber Deposits in a Direct Injection Diesel Engine
Bibliographic record
Abstract
<div class="htmlview paragraph">The present study investigated three techniques for predicting combustion chamber deposit formation in a direct injection diesel engine. One non-intrusive technique, based on the factorial experimental design method was used to develop an empirical model. This model predicts deposit weight as a function of time, but is dependent on engine type, type of lubricating oil, and engine operating parameters. Two intrusive techniques were also investigated for predicting deposit formation: a fast response thermocouple and a deposit conductivity probe, both being located within the combustion chamber. It was shown that the fast response thermocouple technique provided a correlation between in-cylinder peak temperature phase lag and deposit thickness. The conductivity probe correlated electrical conductivity with deposit growth. As well, the waveform characteristics from the conductivity probe showed the potential to predict the physical structure of the deposits.</div>
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".