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Record W4391404220 · doi:10.3390/coatings14020181

MWCNT–Polyimide Fiber-Reinforced Composite for High-Temperature Tribological Applications

2024· article· en· W4391404220 on OpenAlex
Yunfeng Yan, Beibei Zhang, Jianzhang Wang, Changhong Cao, Fengyuan Yan

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.

Bibliographic record

VenueCoatings · 2024
Typearticle
Languageen
FieldEngineering
TopicTribology and Wear Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsPolyimideComposite materialMaterials scienceTribologyComposite numberFiberFiber-reinforced compositeLayer (electronics)

Abstract

fetched live from OpenAlex

A hybrid type of polyimide fibers (PIF) grafted with multi-walled carbon nanotubes (MWCNTs) was developed for high-temperature tribological applications. Compared to pure PI samples, the mechanical properties (i.e., Young’s modulus and hardness) of the PIF-based composite were enhanced following a rule of mixture prediction; the onset decomposition temperature of the MWCNT-PIF-based composite was increased by 14.5 °C and the wear rate at 300 °C decreased by 34.5%. To understand the grafting mechanism, Dmol3 simulation was performed, which revealed that the benzene ring and the hydroxyl group of diene-acceptor (DA) donated electrons to the oxygen atom in the nitrogen-containing five-membered ring of PIF and the straight chain structures had higher reactivity than a branched chain structure.

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 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 score0.348
Threshold uncertainty score0.449

Codex and Gemma teacher scores by category

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 head0.007
GPT teacher head0.229
Teacher spread0.222 · 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