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Record W2382673085

Study on the Embedment Encapsulation Technique of Epoxy Resin Mixed with Metal Powder of Fiber Bragg Grating

2009· article· en· W2382673085 on OpenAlexaff
TU Hongliang

Bibliographic record

VenueChuangan jishu xuebao · 2009
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsMaterials scienceEpoxyComposite materialFiber Bragg gratingEmbedmentMetal powderMetalMetallurgyOptoelectronics
DOInot available

Abstract

fetched live from OpenAlex

The embedment encapsulation technique of epoxy resin mixed with metal powder is advanced in consideration of the problem of the fiber Bragg grating(FBG)sensor reliably joining with the detected metal object.The encapsulation technics is illuminated.Pure curving girder is used to carry out a strain experiment in bare FBG and encapsulated FBG respectively.It is indicated by experiment,that the strain sensitivity coefficients of FBG encapsulated by epoxy resin mixed with metal powder is 1.3 times of bare FBG,reaching to 1.53pm/μe,and the reproducibility of experiments is very well.The mechanical intension of the detected metal object is enhanced after FBG embedded by this method.

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 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: Empirical
Teacher disagreement score0.120
Threshold uncertainty score0.579

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 integrity0.0000.000
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 head0.016
GPT teacher head0.238
Teacher spread0.222 · 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.

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
Published2009
Admission routes1
Has abstractyes

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