Electro-thermo-dynamic performance of a microgripping system
Bibliographic record
Abstract
Microgripping systems incorporate miniature end grasping tools to manipulate micro-sized objects such as tiny mechanical parts, electrical components, biological cells, and bacterium. A thorough understanding of the system's dynamic behaviour, including the gripper force and tip displacement, is essential for successfully handling these micro-objects. In this paper, the electro-thermo-dynamic performance characteristics of a proposed microgripper are described. The system has a monolithic design which consists of a combination of an in-plane electro-thermally driven microactuator and a compliant mechanism. The kinematics of the microgripper is introduced and several prototypes are fabricated from 25/spl mu/m thick nickel foil. The dynamic and electro-thermal characteristics of the system are analyzed with respect to step responses, actuation/tweezing displacements, applied current/power, actual resistance and overall average temperature. Experiments demonstrate that the fabricated microgripper prototype with design parameters of /spl alpha//sub 0/ = 30/spl deg/, /spl beta//sub 0/ = 40/spl deg/, h/sub 0/ = 0/spl mu/m, and /spl lscr/ = 1.2 mm achieves tweezing displacement of 11.84/spl mu/m (tweezing gap of 23.68/spl mu/m) for an applied voltage and current of 1.41V and 0.15A, respectively. This experimental observation agrees with the predicted displacements from the kinematic model of 11.66 /spl mu/m. These preliminary results lay a foundation for developing micro grasping end-effectors for microrobotic and microassembly applications.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".