Novel Experimental Approach to Studying the Thermal Stability and Coking Propensity of Jet Fuel
Bibliographic record
Abstract
An experimental apparatus was designed and built to conduct studies on the thermal stability and carbon deposition leading to coking in the fuel injection nozzles of small gas turbine engines. The apparatus is a simplified but controlled representation of an aircraft fuel system consisting of a preheating section and a test section. The preheating section simulates the heating of the fuel when it is used as a coolant on board an aircraft, and the test section simulates the geometry, temperature, pressure, and flow rates of the fuel injection nozzles. Proof-of-principle experiments were performed to verify the functionality of the apparatus and the repeatability of measurements. The pressure drop across the test section was used during experiments to monitor deposit buildup, and the effective reduction in the test-section diameter due to deposit blockage was calculated. The deposition rate was validated further using a carbon-burnoff apparatus. The experimental results showed that the pressure drop increased significantly with increasing testing time, as expected, and that measuring the pressure drop is an effective method of monitoring and quantifying deposit buildup.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".