Pressure wave attenuation in an air pipe flow
Bibliographic record
Abstract
Pressure wave transmission attenuation in an air pipe flow is investigated both theoretically and experimentally. This investigation is to ensure the viability of remote flow measurement in an air pipe flow using a new fluidic pressure-pulse-transmitting flowmeter. The novel flowmeter produces self-induced oscillations, whose frequency is proportional to the flowrate. These pressure waves are transmitted via the flowing fluid and can be detected far downstream of the device. Experimental work has been conducted to ascertain how much the pressure waves are attenuated in air flow in a pipeline. This was done by using pipes of 0.05m diameter and both 4.7 and 28.5m long installed downstream of the flowmeter. A method of network simulation known as transmission line modelling (TLM), which has been programmed as the Sheffield University Network Analysis Software (SUNAS) code, is described and utilized to predict the wave decay through the air pipe flow. The theoretical and experimental results were found to give good agreement, demonstrating both the value of the modelling software and the viability of the remote flow measurement concept.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".