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Record W2358260865

Influence of Different Dispersing Methods and Reaction Conditions on the Preparation of Novolac Epoxy Resin Microcapsules

2008· article· en· W2358260865 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePackaging Engineering · 2008
Typearticle
Languageen
FieldEngineering
TopicEpoxy Resin Curing Processes
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsEpoxyMaterials scienceScanning electron microscopeComposite materialPolymerizationParticle-size distributionAgitatorInterfacial polymerizationParticle sizeChemical engineeringPolymerMonomer
DOInot available

Abstract

fetched live from OpenAlex

Novolac epoxy resin microcapsules were prepared through interface polymerization process,which had the cross-linked novolac epoxy resin shell and a diaryl-ethane blue dye liquid core.The influence of stirring speed and high-speed dispersing on preparation of the microcapsules was discussed.The surface morphology,structure,shell thickness,and size distribution of the prepared microcapsules were characterized by scanning electron microscopy and laser particle size analyzer.By regulating the stirring speed of the electric agitator,the microcapsules having diameter ranging from 100μm to 500μm could be obtained;through high-speed distribution method and controlling the reaction time and temperature,microcapsules having diameter ranging from 10μm to 100 μm could be obtained.The shell thickness was about 50 nm.Diameter distribution of the microcapsules was uniform and the hermetic performance was good.

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.

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 score0.179
Threshold uncertainty score0.477

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 head0.014
GPT teacher head0.284
Teacher spread0.269 · 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