Design, kinematic modeling and performance testing of an electro-thermally driven microgripper for micromanipulation applications
Why this work is in the frame
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Bibliographic record
Abstract
Microgripping systems incorporate miniature end-effectors used to manipulate micro-sized objects such as tiny mechanical parts, electrical components, biological cells and bacteria. This paper presents a thorough study of the design, kinematics and static/dynamic performances, including electro-thermo performance characteristics, of the new microgripping system. The developed microgripper had a monolithic design which consisted of a combination of an in-plane electro-thermally driven microactuator and a compliant tweezing mechanism. The kinematics of the microgripper was studied as a transformation of input linear actuation motions into output tweezing displacements and compared with microgripper prototypes fabricated from 25 µm thick nickel foil by using laser micromachining technology. The static, dynamic and electro-thermal characteristics of the system performance were analyzed with respect to actual actuation motions, tweezing displacements, voltage, power, electric resistance and overall temperature under constant applied current within a range of {20, 40, ..., 160} mA. Maximum tweezing displacements of 47.5 µm (tweezing gap of 94.9 µm) were achieved under an applied current of 160 mA for a fabricated microgripper having a transform coefficient K = 1.731. The repeatability and reliability of the fabricated microgripper were also tested along with the capability to grip, hold and release a 110 µm diameter glass bead proving that this microgripper can be utilized as a grasping end-effector for micromanipulation, microrobotic and microassembly applications.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it