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Record W2048049152 · doi:10.1002/pc.22455

Characterization of UHMWPE/wood composites produced via dry‐blending and compression molding

2013· article· en· W2048049152 on OpenAlex
Alain Cloutier, Denis Rodrigue

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

VenuePolymer Composites · 2013
Typearticle
Languageen
FieldMaterials Science
TopicNatural Fiber Reinforced Composites
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMaterials scienceComposite materialShore durometerCompression moldingWood flourUltimate tensile strengthPolyethyleneScanning electron microscopeMolding (decorative)Dispersion (optics)Mold

Abstract

fetched live from OpenAlex

Abstract In this study, composites made from wood flour and ultra‐high molecular weight polyethylene (UHMWPE) were produced and characterized. In particular, the composites were initially prepared using a simple dry mixing technique and then compression molded. The effect of wood content on the mechanical properties was determined up to 30wt%. Characterization included scanning electron microscopy to investigate wood dispersion and interfacial bonding quality, while the mechanical tests included tensile, torsion, and flexion. The results show that good dispersion and adhesion was achieved and wood flour addition increased substantially (up to 97%) all the moduli in the range of conditions tested. Finally, it was found that hardness increased by about 5 Shore D points by adding 30% wood flour in UHMWPE. POLYM. COMPOS., 2013. © 2013 Society of Plastics Engineers

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 categoriesMeta-epidemiology (narrow)
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 score0.006
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 communication0.0000.001
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 head0.009
GPT teacher head0.220
Teacher spread0.211 · 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