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Record W3110400710 · doi:10.1021/acssuschemeng.0c02454

Carbon Fibers with High Electrical Conductivity: Laser Irradiation of Mesophase Pitch Filaments Obtains High Graphitization Degree

2020· article· en· W3110400710 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.

Bibliographic record

VenueACS Sustainable Chemistry & Engineering · 2020
Typearticle
Languageen
FieldEngineering
TopicFiber-reinforced polymer composites
Canadian institutionsUniversity of Toronto
FundersHigher Education Discipline Innovation ProjectNational Natural Science Foundation of China
KeywordsMaterials scienceMesophaseElectrical resistivity and conductivityComposite materialGraphiteConductivityIrradiationCarbon fibersLaserJoule heatingFiberOptoelectronicsLiquid crystalOpticsComposite numberChemistry

Abstract

fetched live from OpenAlex

Carbon fibers have promising applications in the efficient transmission of electric power with less resource consumption. Laser graphitization of the mesophase pitch-based carbon fiber (MPCF) was proposed to improve the electrical conductivity of the carbon fiber. The obtained MPCF showed a high conductivity of 7.04 × 105 S/m. The graphitization degree of carbon fiber increased and the interlayer spacing of its graphite crystal decreased on increasing the laser intensity. With a laser power of 360 W and an irradiation period of 25 s, corresponding to a temperature of 3001 °C, a high graphitization degree (R = 0.02) was obtained and the interlayer spacing was as small as 0.338 nm, close to that of pure graphitic carbon (0.335 nm). The enhanced electrical conductivity is attributed to the improved homogeneity of graphitization along the axial and radial directions, the ordered structural evolution, ordered stacking of the graphitic layer, and the promoted connectivity between the graphitic crystals in the carbon fiber. The energy consumption of the proposed method is estimated to be only 0.46% of that with the conventional Joule heating approach. This work suggests that laser-induced graphitization is a good alternative to prepare carbon fibers with high electrical conductivity and reduced energy consumption.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.005
GPT teacher head0.161
Teacher spread0.156 · 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