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Record W2318146232 · doi:10.1021/ie201319p

Effect of Organoclay Reinforcement on Lignin-Based Carbon Fibers

2011· article· en· W2318146232 on OpenAlexaff
W. Qin, John F. Kadla

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2011
Typearticle
Languageen
FieldEngineering
TopicLignin and Wood Chemistry
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsOrganoclayLigninReinforcementCarbon fibersMaterials scienceChemical engineeringComposite materialPulp and paper industryChemistryPolymer scienceNanocompositeOrganic chemistryComposite numberEngineering

Abstract

fetched live from OpenAlex

Organoclay reinforced carbon fibers were prepared from pyrolytic lignin isolated from a commercial bio-oil. Organoclay reinforcement improved the tensile strength of the pyrolytic lignin based carbon fibers by 12% at clay loadings below 2 wt %. Wide-angle X-ray diffraction analysis of the composite as-spun fibers revealed the successful intercalation of the organoclays (Cloisite 20A and 30B), which helped develop a more ordered structure after carbonization. However, only the 1.0 wt % Cloisite 30B as-spun fibers showed an increase in Young’s modulus, while all other as-spun fibers remained unchanged. By contrast, all of the carbon fibers showed a drop in young’s modulus (by 16–38%) upon addition of organoclay, decreasing as organoclay content increased. This is likely due to the presence of microvoids in the carbon fiber as well as the lack of preferred orientation of clay platelets along the fiber axis.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.055
GPT teacher head0.278
Teacher spread0.223 · 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 teacher head, not a consensus.

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

Citations51
Published2011
Admission routes1
Has abstractyes

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