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Record W4414257896 · doi:10.18280/rcma.350415

Multifunctional UPE Composites Reinforced with Recycled PET/HDPE Hybrids

2025· article· fr· W4414257896 on OpenAlexvenueno aff
Waleed Bdaiwi

Bibliographic record

VenueRevue des composites et des matériaux avancés · 2025
Typearticle
Languagefr
FieldEngineering
TopicFiber-reinforced polymer composites
Canadian institutionsnot available
Fundersnot available
KeywordsComposite numberThermoplastic compositesHybridComponent (thermodynamics)Raw material

Abstract

fetched live from OpenAlex

This study presents the fabrication and comprehensive evaluation of hybrid polymer composites based on unsaturated polyester resin (UPE) reinforced with recycled polyethylene terephthalate (PET) and high-density polyethylene (HDPE) in a fixed weight ratio of 80:20.Varying filler contents (2.5, 5, 7.5, and 10 wt.%) were incorporated into the UPE matrix using a hand lay-up method to investigate the influence of reinforcement loading on mechanical, thermal, and acoustic properties.Results revealed that compressive strength peaked at 2.5 wt.%, while impact strength and hardness reached their highest values at 7.5 wt.%.Flexural strength declined with increasing filler content due to matrix discontinuities and interfacial stress.Notably, thermal conductivity and acoustic insulation improved progressively with filler loading, attaining maximum values at 10 wt.%, attributed to enhanced phonon transport and internal wave scattering.FTIR analysis confirmed a physically blended system without significant chemical bonding, indicating that performance enhancement was driven by dispersion quality, interfacial compatibility, and hybrid filler morphology.These findings demonstrate the feasibility of tailoring composite behavior through controlled loading of recycled hybrid fillers, offering an eco-friendly solution for multi-functional polymer materials in structural and acoustic applications.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.126
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.022
GPT teacher head0.247
Teacher spread0.225 · 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; both teacher heads agree on what is shown here.

Study designSimulation or modeling
Domainnot available
GenreMethods

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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueRevue des composites et des matériaux avancésSame topicFiber-reinforced polymer compositesFrench-language works237,207