Oscillatory characteristics and propulsive performance of a tuna-like caudal fin driven by macro fiber composites
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Bibliographic record
Abstract
Flexible structures actuated by piezoelectric composites have attracted much attention as underwater bionic thrusters. In this paper, a tuna-like caudal fin propulsion device actuated by macro fiber composite (MFC) is designed and fabricated, and its underwater vibration characteristics and propulsion performance are investigated. The underwater fluid-structure interaction dynamics equations of the variable cross-section bionic caudal fin with the internal driving force provided by MFC are established, and the damping effect of the surrounding fluid is taken into account. Based on the classical Euler-Bernoulli beam theory, the segmented mode shape functions of the variable section flexible caudal fin are derived by the assumed mode method. It is demonstrated that the first-order modal shapes calculated theoretically and measured experimentally are basically coincident when the number of elements is 30. The transverse deflection, vibration amplitude, and average propulsive force of the proposed structure tip at different driving levels are visualized by comprehensive parametric numerical analysis. The simulation results indicate that the maximum vibration velocity at the caudal fin tip does not occur at the first natural frequency, and the trend of average thrust force is generally consistent with that of the vibration velocity. Moreover, underwater experimental results show that the measured amplitude-frequency response curve of the flexible structure closely aligns with the simulation ones, especially for the values of the resonance frequency and the peak response. Specifically, for different driving levels, the experimental data of the underwater maximum vibration velocity and average thrust force for the proposed structure show good agreement with the theoretical predictions. These findings provide valuable insights for the study of underwater bio-inspired robotic fish driven by smart materials as well as its propulsion performance.
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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) | 0.000 | 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 it