Combustion phasing and work output modeling for homogeneous charge compression ignition (HCCI) engines
Bibliographic record
Abstract
Combustion phasing and work output are the two critical indicators for achieving and maintaining homogeneous combustion for homogeneous charge compression ignition (HCCI) engines. However, the complicated thermodynamic process keeps the combustion phasing model from being explicit. The current models for CA50(crank angle when 50% fuel consumed) requires information that is hardly available for commercial engines. In this paper, polynomial models for combustion phasing and work output are proposed. The intake conditions, including intake manifold temperature, pressure and burned gas fraction as well as the fuel injection are chose as the four variables by whom the combustion phasing and work output are determined. The impacts of various compression ratios on the two indicators (represented by CA50and IMEP) were investigated and have been classified into two groups: vertical shift and curve deformation and both can be well modeled and, therefore compensated. The models are validated through high-fidelity simulations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".