Combustion System Development using Optical Spark Plug Probes
Bibliographic record
Abstract
<div class="htmlview paragraph">In developing the features of a spark-ignition combustion chamber, optical combustion diagnostic technology was employed to understand the factors contributing to knock propensity of the combustion system. This optical combustion visualization equipment utilizes optical prisms located around the periphery of the spark plug shell to measure light intensity of combustion. By synchronizing light intensity and cylinder pressure measurements to crankshaft position, local tracking of combustion progression is accomplished. This method was used to track knock occurrences and to evaluate their controlling parameters within this combustion system. Cylinder head and piston top geometries were developed as a result of this combustion visualization. Recommendations derived from these studies were successfully used to achieve objectives of this engine development program which included improvements in torque and power output, fuel economy, and combustion stability. This paper details the development of this new combustion system in achievement of engine program objectives and its support from these optical combustion visualization studies.</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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".