Error analysis on the fluid measurement of the Laval nozzle’s throat equivalent diameter
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
The mechanical dimensions of the throat are key parameters of the Laval nozzle, significantly influencing the performance of the servo system. An improved fluid-based measurement model for determining the throat diameter is presented, which employs a mandrel plug gauge (MPG) to enhance the measurement system’s resolution. Measurement errors resulting from oil temperature, MPG eccentricity, MPG tilt, non-circular cross-section, and throat length were analysed via flow field simulations. The results showed that oil temperature and MPG tilt had a considerable effect on measurement accuracy, while MPG eccentricity, throat shape, and throat length had negligible influence. Targeted improvements were subsequently made to the measurement system: a closed-loop temperature control was implemented to regulate oil temperature, and a non-fixed MPG was designed to reduce tilt-induced errors. Experimental results demonstrate that the enhanced fluid measurement system significantly reduces the non-repeatability error of the measurements.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 it