ON THE KINEMATIC SYNTHESIS OF JET PROPULSION MECHANISMS FOR BIONIC JELLYFISHES WITH 6 LINKS
Bibliographic record
Abstract
The purpose of this paper is to present a systematic approach for the kinematic synthesis of the jet propulsion mechanisms with 6-link for bionic jellyfishes. The structural synthesis is carried out based on the methodology of creative mechanism design, and the dimensional synthesis is performed by the loop closure method. First, the design requirements and design constraints are specified based on the kinematics characteristic of jellyfishes. Then, the joint assortments with respect to the (6, 7) and (6, 8) chains are derived by number synthesis, and the atlas of feasible chain with one degrees of freedom is generated. After that, the atlas of specialized feasible chain is obtained. Furthermore, the atlas of the new design is obtained through the particularization process. Finally, a design example selected from the atlas is given for illustration, dimensional synthesis is performed at first, and the feasibility of the design is verified by conducting computer simulation using ADAMS software. The result shows that the proposed design can effectively mimic the contraction and relaxation motion of a jellyfish.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".