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Fatigue behavior of Elium®-based thermoplastic composites fabricated by liquid composite molding : A review

2025· review· en· W4406788025 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueComposites Part B Engineering · 2025
Typereview
Languageen
FieldMaterials Science
TopicNatural Fiber Reinforced Composites
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceComposite materialThermoplastic compositesComposite numberCompression moldingMolding (decorative)ThermoplasticMold

Abstract

fetched live from OpenAlex

The introduction of infusible thermoplastic polymers, such as Elium® resins, has significantly impacted the field of composite materials. These thermoplastics have facilitated the production of fibre-reinforced thermoplastic composites through liquid composite molding, offering ease and cost efficiency of manufacturing and recyclability potential. While initial research focused on the quasi-static mechanical behavior of Elium®-based composites, understanding their long-term fatigue behavior is equally essential to establish their viability as alternatives to thermoset composites in various industries such as automotive, wind turbines, and marine applications. This paper reviews recent studies on the fatigue performance of Elium® resin reinforced by glass, carbon, and flax fibres and compares the behavior to those made with the typical epoxy matrices as a benchmark. The effect of matrix type, fibre type, laminate lay-up, fibre volume fraction, and environmental conditions on composite fatigue are also analyzed. The currently available data shows that Elium®-based composites can offer comparable fatigue properties to epoxy composites over a wide range of composite compositions and testing environments. This suggests a high potential for these new materials, especially in light of their significant life-cycle and sustainability benefits. An insight is also given on the comparison of the processing requirements and properties of Elium® resin compared to other relevant thermoplastics such as polyphenylene sulfide (PPS) and polyether ether ketone (PEEK). The review concludes with suggestions for future research opportunities and directions. • Elium®-based composites have shown comparable fatigue results to epoxy-based composites. • Elium®-based composites can have better stiffness retention in fatigue tests after ageing. • Flax fibre composites outperform glass fibre composites in certain loading conditions and architectures. • Unidirectional composites have shown superior fatigue behavior than other orientations. • The effect of V f on the fatigue performance of composites needs further investigation.

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.

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)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.478
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
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 head0.025
GPT teacher head0.292
Teacher spread0.267 · 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