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Record W4409251765 · doi:10.1177/07316844251332008

Synergistic effect of graphite fillers on electrical and mechanical properties of Co-continuous PVDF/PP composites

2025· article· en· W4409251765 on OpenAlexafffund
Sahar Shojaei, Ehsan Rostami‐Tapeh‐Esmaeil, Frej Mighri, Saïd Elkoun, Martin Brassard, Elaheh Oliaii, Philippe Pelletier, Guy Jourdain, Yves Bonnefoy, Mohamed Saad

Bibliographic record

VenueJournal of Reinforced Plastics and Composites · 2025
Typearticle
Languageen
FieldEngineering
TopicDielectric materials and actuators
Canadian institutionsUniversité de SherbrookeInstitut du Nouveau MondeUniversité Laval
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceComposite materialGraphiteFiller (materials)Composite number

Abstract

fetched live from OpenAlex

This study explores the development of conductive co-continuous polyvinylidene fluoride/polypropylene/graphite (PVDF/PP/GR) composites with varying PVDF/PP ratios (60:40 and 70:30) to evaluate the effects of single and hybrid GR fillers on composites’ electrical conductivity, morphology, thermal stability, and mechanical properties. The composites were prepared with GR fillers ranging from 20 to 60 wt.% and particle sizes between 5.9 and 564 µm. Morphological analysis using scanning electron microscopy (SEM), supported by selective solvent extraction of the PVDF phase, confirmed a well-developed co-continuous structure at a PVDF/PP ratio of 70:30. Key performance metrics, including through-plane electrical resistivity (inverse of conductivity), thermal degradation, and mechanical strength, were systematically analyzed. The results showed that the addition of 60 wt.% GR reduced melting temperature while improved overall crystallinity and the degradation temperature from 440°C to 480°C, with a corresponding increase in residual ash content from 15 to 70 wt.%. Among the single-filler composites, medium-sized GR particles (17.8 µm) at 60 wt.% in the PVDF/PP (70:30) system exhibited the lowest electrical resistivity (3.41 Ω·cm). Additionally, the incorporation of 60 wt.% hybrid GR fillers, mixture of medium (17.8 µm) and large (561 µm) particles in an 80:20 ratio, further reduced resistivity to 1.17 Ω·cm, showing the synergistic effect of hybrid GR fillers of different sizes. Small GR particles act as bridges between the larger ones, leading to a more electrically conductive GR network. Mechanical testing revealed a flexural modulus ranging from 0.9 to 9.9 GPa and a flexural strength ranging from 7.0 to 26.3 MPa. The compressive elastic modulus varied between 0.1 and 0.2 GPa, while the compressive strength ranged from 7.8 to 22.9 MPa. These results highlight the suitability of PVDF/PP/GR composites as electrically conductive materials, particularly for applications in proton exchange membrane fuel cell (PEMFC) bipolar plates, as their main properties are in the range aimed by the U.S. Department of Energy (DoE).

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 score0.001
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)0.0010.000

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 head0.003
GPT teacher head0.183
Teacher spread0.180 · 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

Citations6
Published2025
Admission routes2
Has abstractyes

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