A Numerical Study on Uncontrolled Regeneration Processes in Diesel Particulate Filters
Bibliographic record
Abstract
An effective regeneration is needed to remove the accumulated soot in a Diesel Particulate Filter (DPF). However, the sudden heat release by soot oxidation during an uncontrolled thermal regeneration process may cause the substrate of a DPF to overheat. The consequent thermal stress could even result in structural failure. In this paper, a cone-dimensional transient model was employed to describe the exhaust flow, heat transfer, and chemical reaction processes within the DPF substrate during regeneration. The model was validated preliminarily against the experimental data of previous researchers. By using this mode, a variety of uncontrolled regeneration processes were simulated to analyze the different mechanisms of DPF overheating. The results show that the exhaust temperature, oxygen concentration, and PM loading are three major factors that effect DPF overheating. Furthermore, the tendency of uncontrolled thermal runaway could be reduced by changing either the thermal runaway could be reduced by changing either the thermal properties or the structure of the DPF substrate.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".