Rotating Machinery Acoustics: A Complete Coupling Contributes to the Impeller Fatigue Failure
Bibliographic record
Abstract
Complex dynamic fields such as pulsation, vibration and noise are generated in turbo-machinery systems. These fields are created by the acoustic waves propagating in gaseous media and interacting with the turbo-machine casing and its components. The acoustic loads result from the flows nonuniformity, flow path obstacles or the machine kinematics. The acoustic waves frequently interact with the structural modes inside the turbo-machine. Such interactions may contribute significantly to structural failures and therefore are of primary interest to a machine designer. High ‘efficiency’ couplings usually lead to structural failures while low ‘efficiency’ couplings are not important. Thus, assessment of the coupling ‘efficiency’ is crucial in the calculation of failure probabilities. This knowledge could also be used during the root cause failure analysis or in the machine re-design process. The most ‘efficient’ coupling takes place when the so-called joint acceptance function, representing spatial coupling ‘efficiency’ and the transfer function, representing time coupling ‘efficiency’, describe full coincidence of the acoustic and structural modes. Partial couplings are usually unimportant due to their low ‘efficiency’. This paper attempts to explain partial and complete coupling concepts based on example of a failed compressor impeller. Some practical design remedies to avoid impeller failures are given while predicting the complete coupling.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".