Design and microfabrication of a compliant microgripper using nonbrittle and biocompatible material
Bibliographic record
Abstract
This article presents the design and fabrication of a monolithic compliant microgripper. This research has mostly focused on the process of design, the finite element analysis, the fabrication method and use of a genetic algorithm method to solve the nonlinear kinematic equations and estimate the proper dimensions of the design. This new architecture of the microgripper enables it to apply a variable force to a wide range of micro-objects handled in microassembly, micromanipulation and also in biomedical applications such as artificial fertilization. The microgripper was designed to be normally open. Two shape memory alloy actuators close the jaws. To achieve the tasks, the most proper size has been considered to be 8 × 8 mm, with thickness of 250 µm. Polyethylene terephthalate has been used as the structural material. It is not brittle and is less sensitive to shock compared with silicon-based grippers; furthermore, its fabrication cost is less and it does not lose precision.
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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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".