Bibliographic record
Abstract
The ring propulsor concept employs a permanent magnet motor located in a nozzle, and a ring fastened to the propeller tips. Blades are driven by the rotating ring which plays role of the electric motor rotor. This kind of shaftless propulsor, sometimes called Ring Propeller or Integrated Motor-Propulsor, can be used in submersibles and off-shore underwater equipment. Several designs were developed and tested by AEG-Telefunken/Jastram Forschung (Germany), Harbor Branch Oceanographic Institution (USA), and others. In this work, theoretical models of the ring propulsor are developed The lifting line model is hosed on the classic moderately loaded propeller lifting line model. This model is modified in order to take into account new boundary conditions for the radial circulation distribution and nozzle surface effect on the induction factors. The lifting surface model also includes new features, such as radial, axial, and angular non-uniformity of the flow induced by a nozzle. Both models employ corrections on fluid viscosity in lift and drag force components. In performance prediction, special attention should be paid to the losses in a gap between rotating parts and the stationary nozzle. These losses are estimated based on the Taylor's formula. The axisymmetric propulsive nozzle is simulated as a thick lifting body. The nozzle-propeller interaction is taken into account by the iteration technique. Numerical simulations are performed to demonstrate typical circulation distributions, as well as induced velocities.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".