Preliminary Energy Efficiency Analysis of an EGR Fuel-Reformer
Bibliographic record
Abstract
<div class="htmlview paragraph">Diesel engine exhausts commonly contain a high level of surplus oxygen and a significant amount of thermal energy. In this study the authors have theoretically investigated a way of utilizing the thermal energy and the surplus oxygen of exhaust gases to produce gaseous fuel in a rich combustor placed in an exhaust gas recirculation (EGR) loop. In the rich combustor, a small amount of diesel fuel will be catalytically reformed on a palladium/platinum based catalyst to produce hydrogen and carbon monoxide. Since the catalytic EGR reformer is incorporated in the EGR loop, it enables the partial recovery of exhaust heat. The gaseous fuel produced in the rich combustor can be brought back into the engine in a pre-mixed condition, potentially reducing soot formation. The preliminary energy efficiency analysis has been performed by using CHEMKIN and an in-house engine simulation software SAES. This research is the prelude of the experimental work to be performed at the University of Windsor's Clean Diesel Lab.</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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".