A passive damping device for suppressing acoustic pressure pulsations: The infinity tube
Bibliographic record
Abstract
Acoustic pressure pulsations in piping systems can cause detrimental damage and failure of industrial components. Both the acoustic resonance and the traveling wave phenomena are of concern for industrial piping systems and there is a need to study passive damping devices and their implementation into these systems. However, there is a challenge associated with manufacturing and installation of such devices as they may be cumbersome. Therefore, the infinity tube (IT) damping device has been presented here to provide a simplified device geometry which can be easily manufactured and implemented into piping systems. A theoretical equation for the transmission loss spectra of the IT device and the frequencies of resonance have been derived as a tool for designers. Additionally, the experimental investigation has shown a considerable increase in acoustic attenuation in comparison to the conventional Herschel-Quincke device due to the significantly shorter length which the IT device can be constructed from. Acoustic pressure and phase angle measurements have elucidated that the fundamental acoustic mode of an open-open pipe can be formed within the IT device. Moreover, a parametric study is presented which has clarified practical considerations required for implementation of the IT device into piping systems for suppressing pressure pulsation.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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 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".