Numerical investigation of propulsive characteristics of podded propeller
Bibliographic record
Abstract
Numerical investigations were performed to predict effects of propeller hub taper angle and pod geometry configurations on propulsive performance. An existing time domain panel method code was extended to handle the simulation tasks. The effect of taper angle was examined in terms of shaft thrust coefficient, KT, and torque coefficient, KQ, for different taper angles of -15° (pull/tractor configuration) and +15° (push configuration). The predicted pressure distribution was also analyzed to investigate the effect of taper ratio on pressure coefficient, Cp, at the blade root section. The effects of pod-strut geometry on KT and KQ of a propeller with taper angles of 15° and 20° with two pods both in push configuration were examined. A complementary experimental study of the effects of taper angle on propulsive performance was also conducted for 15° and 20° taper angles in push configuration. Numerical predictions and experimental measurement showed a good agreement over a wide range of advance coefficients from the bollard pull condition to the design advance coefficient of about 1.0.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".