Tether and joint design for microcomponents used in microassembly of 3D microstructures
Bibliographic record
Abstract
A novel microassembly system has been developed to assemble surface micromachined micro-parts, into 3D microstructures. This work describes the tether and joint design of micro-parts used in the microassembly process. The process consists of (a) grasping a micro-part which is tethered to the substrate of a chip, (b) removing the micro-part from the substrate by breaking the tethers, (c) manipulating the micro-part from its original location of fabrication to the target assembly location, and (d) joining the micro-part to another micro-part. In this way, out-of-plane or in-plane microstructures can be assembled from a set of initially planar micro-parts. The tether design is an integral part of the grasping and removal process. The tethers provide restraint on the micro-parts while they are grasped by a passive, compliant microgripper, and are designed to break-away at pre-defined locations, after the grasping process. In addition, the tethers ensure that the micro-parts do not translate or rotate from their fabricated and released positions, during transportation of the carrier chip. The joint system used to join micro-parts together is called "snap-lock’ microassembly. It is based on the elastic deflection of a plug feature that forms an interference fit with a mating slot feature.
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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 | 0.001 |
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".