Fully Decoupled Compliant Parallel Mechanism: a New Solution for the Design of Multidimensional Accelerometer
Bibliographic record
Abstract
In this paper, a novel multidimensional accelerometer is proposed based on fully decoupled compliant parallel mechanism. Three separated chains, which are served as the elastic body, are perpendicular to each other for sensing the kinetic information in different directions without decoupling process. As the crucial part of the whole sensor structure, the revolute and prismatic joints in three pairwise orthogonal branches of the parallel mechanism are manufactured with the alloy aluminium as flexure hinge-based compliant joints. The structure development is first introduced, followed by the comprehensive finite-element analysis including the strain of the sensitive legs, modal analysis for total deformation under different frequency, and the performance of harmonic response. Then, the shape optimization is conducted to reduce the unnecessary parts. Compliance optimization with particle swarm algorithm is implemented to redesign the dimension of the sensitive legs. The research supplies a new viewpoint for the mechanical design of physical sensor, especially acceleration sensor.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".