Simulation, dynamic testing and design of micromachined flexible joints
Bibliographic record
Abstract
This paper examines the simulation, dynamic testing and design of micromachined flexible joints. The objective is to mimic the kinematics of classical macro rotating and sliding joints with flexural micro joints. The joints consist of long slender beams that are folded in a variety of shapes: `I', `H', `X', `S', `U' and `V' shaped joints are considered. Finite element modelling simulations are used to simulate rotational, axial and out-of-plane stiffness and examine the effect of variations in joint length and beam angles. The simulation results are compared to a series of dynamic tests of polysilicon micromachined joints. The resonant frequencies of joint-mass systems were measured using a non-contact laser reflectance apparatus and the derived experimental rotational stiffnesses were found to agree with simulations. Design guidelines for the selection of the optimum joint shape and length for given functional requirements such as directional stiffness, selective compliance and range of motion are presented.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".