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Record W2121305628 · doi:10.1002/pc.22880

HDPE reinforced with glass fibers: Rheology, tensile properties, stress relaxation, and orientation of fibers

2014· article· en· W2121305628 on OpenAlexaff
Usman Saeed, Zahid Hussain, Ghaus Rizvi

Bibliographic record

VenuePolymer Composites · 2014
Typearticle
Languageen
FieldMaterials Science
TopicNatural Fiber Reinforced Composites
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsMaterials scienceComposite materialHigh-density polyethyleneUltimate tensile strengthRheologyGlass fiberMaleic anhydrideFiberPolypropyleneAnisotropyRelaxation (psychology)ViscosityPolyethyleneCopolymerCoupling (piping)Polymer

Abstract

fetched live from OpenAlex

Glass fiber‐reinforced high‐density polyethylene of varying concentrations was mixed with ethylene copolymer and maleic anhydride‐grafted polypropylene (coupling agents) separately. The viscosity, tensile strength, and stress relaxation properties of the composites were investigated. The orientation and anisotropy of glass fibers were studied using micro computed tomography scanner. It was found out that the orientation and anisotropy of fiber are strongly affected by the increase in glass fiber concentration. POLYM. COMPOS., 35:2159–2169, 2014. © 2014 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.

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 score0.007
Threshold uncertainty score0.708

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 head0.008
GPT teacher head0.204
Teacher spread0.196 · 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

Citations26
Published2014
Admission routes1
Has abstractyes

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