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Record W1976102496 · doi:10.1177/0021998307086212

Thermal and Mechanical Properties of Blends and Composites from HDPE and Date Pits Particles

2008· article· en· W1976102496 on OpenAlexafffund
A. Ghazanfari, Shahram Emami, S. Panigrahi, Lope G. Tabil

Bibliographic record

VenueJournal of Composite Materials · 2008
Typearticle
Languageen
FieldMaterials Science
TopicNatural Fiber Reinforced Composites
Canadian institutionsUniversity of Saskatchewan
FundersUniversity of Saskatchewan
KeywordsHigh-density polyethyleneMaterials scienceComposite materialFlexural strengthUltimate tensile strengthYoung's modulusMelt flow indexFlexural modulusWood flourComposite numberPolyethylenePolymer

Abstract

fetched live from OpenAlex

The date pits flour was used as a filling material in composition with high density polyethylene (HDPE). The blending proportions were: (1) 10% date pits, 90% HDPE; (2) 20% date pits, 80% HDPE; (3) 30% date pits, 70% HDPE; and (4) 40% date pits, 60% HDPE. Thermal conductivities, specific heat, and melt flow index of the blends were determined. The thermal conductivities ranged from 0.460 to 0.720 W/(m°C) and specific heats ranged from 1.10 to 5.30 kJ/(kg°C). The tensile and flexural tests on composite plates, fabricated by compress molding, indicated that strength and strain values decreased with increase in the percentage of date pits. There was no significant difference between flexural moduli of elasticity of the composites, but tensile modulus had the highest value at 30% blend. Moduli of elasticity of the composites were lower than the plates prepared from virgin HDPE at 180°C. It was presumed that high temperature processing of pure HDPE altered its original properties and consequently increased its modulus of elasticity.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.022
GPT teacher head0.225
Teacher spread0.203 · 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

Citations38
Published2008
Admission routes2
Has abstractyes

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