EC1-1 A Control Strategy Analysis for Clean and Efficient Combustion in Compression Ignition Engines(EC: Engine Control,General Session Papers)
Bibliographic record
Abstract
In this work, the pathways and challenges for enabling the clean and efficient combustion are first identified with extensive engine tests on a high compression ratio single-cylinder diesel engine. The engine load and emission trade-offs are analyzed for different fuel injection strategies, intake boost, injection pressure and exhaust gas recirculation. The identified challenges are then analyzed to define the requisite control strategies for improving the stability and combustion efficiency of such clean combustion processes. Moreover, the critical issue of switching in multi-mode combustion on-the-fly is also addressed and empirically demonstrated for the seamless transition from the single-injection to multi-injection modes in 3 consecutive engine cycles without leaving low temperature combustion. To further demonstrate the robustness of the control system, the use of ethanol in a dual-fuel configuration with a diesel pilot-injection is demonstrated to extend the load limit of clean combustion. This research intends to advance the control methodologies for application of the clean combustion modes over the engine operating regime.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".