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Record W4302012041 · doi:10.32920/ryerson.14668449

FPCB magnetic micromirror for laser marking/engraving systems

2022· preprint· en· W4302012041 on OpenAlexafffund
Karlmarx Golanthan Karuppaih Periyasamy

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicAdvanced Measurement and Metrology Techniques
Canadian institutionsToronto Metropolitan University
FundersCMC Microsystems
KeywordsEngravingLaser scanningMicroelectromechanical systemsLaserScannerMaterials scienceOpticsPolyimideSubstrate (aquarium)OptoelectronicsNanotechnologyPhysics

Abstract

fetched live from OpenAlex

<p>The thesis presents the design and development of a novel, rotational micro mirror using Flexible Printed Circuit Boards (FPCB) for the applications in laser marking/engraving system. The use of the new material helps in reducing the overall cost of the laser scanning system when compared to other MEMS based scanners but with higher mirror surface quality. The device mainly caters to applications that require low powered laser (<1watt), small working area (< 20x20mm) and slow scanning speed (2 mm/sec). The scanner consists of two orthogonally positioned quasi static micromirrors which are driven by magnetic lorentz force. Based on the developed laser scanner, a complete laser marking/engraving system was developed which is capable of engraving materials such as leather, TPU smartphone cases, etc. Further, the thesis also addresses a new problem (drifting) associated with the polyimide material used as the substrate for FPCB actuators and a modified vector scanning methodology is proposed to overcome it.</p>

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.652
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.026
GPT teacher head0.255
Teacher spread0.229 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreMethods

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
Published2022
Admission routes2
Has abstractyes

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