Real Time Engine Thrust Calculation For Modern Fighter Aircraft
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In traditional flight test programs, in-flight thrust calculations are processed post flight using a thermodynamically balanced engine cycle model. Many attempts have been made to use the standard gross thrust parameter to calculate engine gross thrust real time during flight to expedite data analysis and performance verification. These methods have required complex engine instrumentation, primarily at the engine inlet station and nozzle exit station, and have addressed only fixed nozzle or choked flow configurations. This paper will address three issues: using a modified gross thrust parameter to account for variable, un-choked nozzle configurations; using parameters correlated from the engine cycle model to minimize instrumentation (using only control sensed data); and using correlated parameters, primarily engine airflow, to calculate net thrust. This paper will show that calculated net thrust based on a correlated and modified gross thrust parameter does yield reasonable accuracy relative to engine cycle model thrust and measured thrust (installed tied-down aircraft) and allows real time display of engine thrust using the latest flight test visualization software.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it