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Record W2021003865 · doi:10.1002/pc.20138

Thermal and mechanical anisotropy in compression molded carbon fiber/resin composites

2005· article· en· W2021003865 on OpenAlexaff
Haijun Cai, MA Bashar, J. J. C. Picot

Bibliographic record

VenuePolymer Composites · 2005
Typearticle
Languageen
FieldEngineering
TopicComposite Material Mechanics
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsMaterials scienceComposite materialUltimate tensile strengthAnisotropyComposite numberFiberTransverse planeThermal conductivityDeformation (meteorology)Structural engineeringOptics

Abstract

fetched live from OpenAlex

Abstract A 53% (vol.) chopped carbon fiber (2.5 cm long) in resin composite was molded under uniaxial extensional deformation conditions (for a charge draw ratio (DR) of 1, 2, 4, and 8) to produce flat panels 4 mm thick. Axial direction tensile strength increased by 42% from DR 1 to 2 and rose slightly at higher DR, while a slight increase occurred for the transverse direction values over the whole range. Axial direction thermal conductivity (t.c.) increased 32% from DR 1 to 2 then, decreased at DR 4 and DR 8, while normal t.c. showed a moderate decrease and transverse t.c. showed no definite trend. Measurements of the Hermanns fiber orientation function in the core of the samples showed a gradual increase from 0.3 to 0.45 (with respect to draw direction) while surface values ranged from about 0.08–0.15 over the range of DR. Results for a 30% (vol.) carbon fiber (6.5 mm long) composite showed similar trends. A flow analysis based on the power law model indicates that surface shear effects tend to rotate fibers in the surface region out of the plane of the panel. This limits the axial t.c. and tensile strength at high DR for the 30% composite, while the decrease in axial t.c. at high DR is caused by orientation of the 3rd phase (filler) for the 53% composite. Results show that the nondestructive nature of the t.c. measurements described allows an indirect measure of tensile strength for molded components in service. POLYM. COMPOS., 26:684–688, 2005. © 2005 Society of Plastics Engineers

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
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
Bibliometrics0.0000.000
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 head0.200
Teacher spread0.193 · 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

Citations11
Published2005
Admission routes1
Has abstractyes

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