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Record W2073942604 · doi:10.1002/app.22534

Effect of impregnation and in‐situ polymerization of methacrylates on hardness of sugar maple wood

2005· article· en· W2073942604 on OpenAlexaff
Yaolin Zhang, S. Y. Zhang, Ying Hei Chui, Hui Wan

Bibliographic record

VenueJournal of Applied Polymer Science · 2005
Typearticle
Languageen
FieldEngineering
TopicWood Treatment and Properties
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsBrinell scaleMapleMaterials sciencePolymerizationMethacrylatePolymer chemistryMonomerEthylene glycol dimethacrylateComposite materialChemical engineeringPolymerUltimate tensile strengthBotanyMethacrylic acid

Abstract

fetched live from OpenAlex

Abstract The improvement of Brinell hardness of sugar maple ( Acer saccharum Marsh.) samples through impregnation and in‐situ polymerization of methyl methacrylate, 2‐hydroxylethyl methacrylate, and ethylene glycol dimethacrylate monomers was investigated. The formulation combinations were determined by a mixture design. Sugar maple samples were impregnated with these mixtures by a vacuum and pressure process and polymerized in situ by a catalyst‐thermal procedure. The effects of the monomers and their combinations on Brinell hardness and hardness modulus were analyzed. Chemical impregnation enhanced both Brinell hardness and hardness modulus. A significant relationship between hardness modulus and Brinell hardness was found. Modulus of elasticity of sugar maple was also improved through impregnation with methacrylates. © 2005 Wiley Periodicals, Inc. J Appl Polym Sci 99: 1674–1683, 2006

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 score0.039
Threshold uncertainty score0.238

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 head0.005
GPT teacher head0.214
Teacher spread0.209 · 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

Citations32
Published2005
Admission routes1
Has abstractyes

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