Cross-flow helical turbine for energy production in reversing tidal and ocean currents
Bibliographic record
Abstract
This paper presents an investigation into the performance of a helical water turbine in both computer simulated and physical tests. Power curves were developed for both physical and virtual models, as well as angular velocity and power responses over time. The virtual model was tested with a PID controller to simulate real-world speed control in power generation by varying turbine loading. The virtual model responded well to virtual PID control, suggesting a physical model could be controlled by varying the brake torque, or applied load. Both models displayed some small variance in rotational speeds and torque over time, but values tended to oscillate between two asymptotic values. Though neither the virtual nor physical models approached previously demonstrated efficiencies of helical water turbines, both models agreed that peak power generation occurs at approximately 60% of freewheel angular velocity for the stream speeds tested. It is suggested that higher efficiencies may be obtained by changing turbine configuration, and in the case of virtual models, using an even finer resolution mesh for computational fluid dynamics analysis.
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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) | 0.000 | 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) | 0.003 | 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".