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Record W56922252 · doi:10.1177/096739110601400301

Composite from Wood Fibres Bonded with Renewable Wood Resin

2006· article· en· W56922252 on OpenAlexaff
Arun Ghosh, Mohoni Sain

Bibliographic record

VenuePolymers and Polymer Composites · 2006
Typearticle
Languageen
FieldMaterials Science
TopicNatural Fiber Reinforced Composites
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComposite materialMaterials scienceUrea-formaldehydeEngineered woodComposite numberEnvironmentally friendlyCuring (chemistry)FormaldehydeFiberboardSynthetic resinAdhesiveChemistry

Abstract

fetched live from OpenAlex

This paper shows the efficiency of a renewable wood resin as a binder for wood fibres in the manufacture of environmentally friendly fibreboard composites. The wood resin was nevertheless partially replaced by urea formaldehyde (UF) resin to make fibreboards more economical and performance-driven. The results demonstrate that nearly all the mechanical properties of the fibreboards were above the minimum requirements specified in the ANSI-AHA standard. The mechanical properties of wood resin bonded fibreboard were inferior to those of the UF resin bonded equivalents. The horizontal density profiles of the composites revealed that the wood resin distribution in the wood fibres could be optimised in presence of liquid UF resin. Wood resin bonded fibreboard showed a lower rate of formaldehyde emission than UF resin bonded fibreboard. The curing conditions were also optimised to achieve improved mechanical performance and dimensional stability for the composite fibreboards.

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 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)0.000
metaresearch head score (Gemma)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0030.001

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 head0.006
GPT teacher head0.200
Teacher spread0.194 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2006
Admission routes1
Has abstractyes

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