Plasma Resistance Control for Ignition Energy Improvements Under High-Speed Flow Conditions
Bibliographic record
Abstract
Modern spark ignition (SI) systems tend to face a fuel-lean mixture of elevated density and intensified flow for improving engine efficiency and exhaust emission. A more effective ignition source, e.g., a properly modulated current profile of on-demand elevated energy is preferred to assist the flame kernel formation process and developments. The strong air motion blows the plasma channel away from the spark gap, causing the plasma channel to stretch, which leads to restrike events when stretched excessively. In this work, the impact of spark plasma stretching on the discharge processes has been investigated under various flow velocities and background densities. It is observed that the cross-flow may raise the deposition efficiency of discharge energy between the spark electrodes via plasma stretching, but the prolonged stretching may challenge the plasma stability. The mechanisms of restrike and blow-off events are investigated corresponding to plasma resistance and discharge voltage. Furthermore, a boosted current strategy is applied to study the effectiveness of discharge current modulation (50 mA–3 A) on the plasma resistance control under the flow conditions. The study comprehensively investigates the impacts of discharge current, flow velocity, and background pressure on plasma stretching and energy release efficacy.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".