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Record W4231973996 · doi:10.32920/ryerson.14661381

Development of an Electromagnetic Actuator based Translation Micromirror as a Movable Mirror in a Miniaturized FTIR Spectrometer

2021· preprint· en· W4231973996 on OpenAlexaff
Yuan Xue

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsCMC Microsystems (Canada)Toronto Metropolitan UniversityAlcohol Countermeasure Systems (Canada)University of Toronto
Fundersnot available
KeywordsActuatorMicroelectromechanical systemsOpticsTranslation (biology)Materials scienceSurface micromachiningTilt (camera)MicroactuatorOptoelectronicsPhysicsMechanical engineeringElectrical engineeringEngineeringChemistry

Abstract

fetched live from OpenAlex

Miniaturized FTIR spectrometer has been developed rapidly in recent years due to the increasing demands. MEMS micromirrors have been used to replace the movable mirror system, which is the largest part in conventional FTIRs. Electromagnetic actuators are suitable to drive the micromirrors because of their relatively large quasi-static translation range and high response speed. In addition, high surface quality is required for the micromirror. However, current MEMS based micromachining technologies cannot provide satisfactory surface quality. Therefore, a translation mircomirror with a large displacement, i.e., > 120 µm, and a novel magnetic field pulling-force assisted bonding technology are developed to bond a high surface quality (i.e., roughness of 2 nm and radius curvature over 15 m) mirror plate with a released microactuator using an adhesive. However, the touching points between the moving film and the substrate lead to a large starting position variation and low repeatability in operation. To solve these limitations, a repulsive force based translation micromirror utilizes a novel driving mechanism, i.e., permanent magnet ring above and electromagnet underneath the moving film, to lift and push the moving film away from the substrate for translation. As a result, the starting position of the repulsive force translating mirror is consistent and the repeatability is <1%. A maximum displacement of 144 µm can be achieved when a 140 mA current is applied. To eliminate the tilt of the translation micromirror during motion, a compensation system is developed which includes the translation mirror, a correcting mirror and a reflecting mirror. The correcting micromirror corrects the tilt by rotating the same angle as the translation micromirror with its rotating axis parallel to the tilting axis. The tilt of the attractive force translation micromirror can be reduced to 0.026° after compensation, so it can be used as a movable mirror in FTIRs to measure half of the midinfrared region between 13.6 µm an 25 µm. Therefore, the electromagnetic actuator based translation micromirror with large displacement, high surface quality can be successfully used as the movable mirror in the miniaturized FTIRs with the tilt compensation system.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Methods
About the Canadian research system: no · About a Canadian topic: no
Bench or experimentalhigh
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Bench or experimentalmedium
models agreeAgreement compares identical category sets and study designs across arms.

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)0.001
metaresearch head score (Gemma)0.001
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: Methods · Consensus signal: Methods
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.019
GPT teacher head0.253
Teacher spread0.234 · 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

Labeled directly by 2 models reading the full record.

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

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
Published2021
Admission routes1
Has abstractyes

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