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Record W7015405357

Stressed micromachined magnetic actuators for micro-mirror applications

2006· dissertation· en· W7015405357 on OpenAlexaff

Bibliographic record

VenueMspace (University of Manitoba) · 2006
Typedissertation
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsFabricationActuatorMicroelectromechanical systemsPhotoresistSurface micromachiningMicroactuatorStictionProcess (computing)
DOInot available

Abstract

fetched live from OpenAlex

This paper discusses the development ofan out-of-plane micromachined magnetic actuator for micro-mirror applications.Lorentz forces are used to actuate the microstructures that are fabricated to have an initial out-of-plane rest angle.Magnetic microelectromechanical systems (MEMS) have the advantage of large actuation distances with low power requirements, An inexpensive fab¡ication process is developed using aluminum and chrome thin filrns for a device layer, and a silicon sacrificial.A photoresist sacrificial layer is also attempted with limited fabrication success due to problems with photoresist residues and device release.Several different device designs are attempted to determine a suitable design for the fabrication process.This design is also implemented in a micro-mirror aIlay to observe variability in the fabrication of the structures as well as the consistency in actuation.The resonant frequency and lifetime of the mic¡o-mirror structures are also examined.A model is developed in order to predict the actuation ofthe mic¡o-mirror devices.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.006
GPT teacher head0.194
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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