MétaCan
Menu
Back to cohort
Record W2890133491 · doi:10.1177/096739111802600302

Accelerated Ageing of Alkali Treated Olive Husk Flour Reinforced Polylactic Acid (PLA) Biocomposites: Physico-Mechanical Properties

2018· article· en· W2890133491 on OpenAlexaff
Samra Isadounene, Dalila Hammiche, Amar Boukerrou, Denis Rodrigue, Hocine Djidjelli

Bibliographic record

VenuePolymers and Polymer Composites · 2018
Typearticle
Languageen
FieldMaterials Science
Topicbiodegradable polymer synthesis and properties
Canadian institutionsUniversité Laval
FundersDivision of Materials Research
KeywordsPolylactic acidDifferential scanning calorimetryUltimate tensile strengthMaterials scienceFourier transform infrared spectroscopyHuskExtrusionLactic acidComposite materialBioplasticBiocompositeNuclear chemistryPolymerChemistryChemical engineeringWaste management

Abstract

fetched live from OpenAlex

In this study, olive husk flour was added to poly(lactic acid) (PLA) to produce fully biosourced and biodegradable composites. In particular, untreated and alkali treated particles were used to produce the biocomposites at 20 wt.% via melt extrusion followed by injection moulding. The samples were then subjected to accelerated ageing (UV irradiation and water spray at 50°C) for different amounts of time (120, 240, 360 and 480 h). The results show that accelerated ageing decreased the tensile strength (TS) and Young's modulus (YM) for both untreated and alkali treated biocomposites, but the treated particles presented a lower reduction. Further comparison was made via differential scanning calorimetry (DSC) and Fourier transform infrared spectroscopy (FTIR) to detect any changes in the samples.

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 score0.000
Threshold uncertainty score0.002

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)0.0000.000

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 head0.031
GPT teacher head0.234
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

Citations16
Published2018
Admission routes1
Has abstractyes

Explore more

Same venuePolymers and Polymer CompositesSame topicbiodegradable polymer synthesis and propertiesFrench-language works237,207