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Record W2474049929 · doi:10.1002/pen.24352

Electrical and morphological properties of microinjection molded polystyrene/multiwalled carbon nanotubes nanocomposites

2016· article· en· W2474049929 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

VenuePolymer Engineering and Science · 2016
Typearticle
Languageen
FieldEngineering
TopicInjection Molding Process and Properties
Canadian institutionsMcGill UniversityWestern University
Fundersnot available
KeywordsMaterials scienceMasterbatchComposite materialElectrical resistivity and conductivityPolystyrenePercolation thresholdNanocompositeMicrostructureCarbon nanotubeShearing (physics)Molding (decorative)AnisotropyCarbon blackPolymer

Abstract

fetched live from OpenAlex

Masterbatch dilution was utilized to prepare polystyrene/carbon nanotubes (PS/CNT) nanocomposites for microinjection molding (µIM). The effect of processing parameters, such as injection velocity and melt temperature, on the microstructure and electrical conductivity of injection molded microparts was systematically investigated. The electrical conductivity of the microparts was measured in three perpendicular directions to determine anisotropy. Results showed that the measured conductivity is process‐dependent and melt temperature is the main factor that affects the electrical conductivity of the resultant samples. Electrical conductivity increased with an incremental loading fraction of CNT, and the percolation threshold shifted to higher filler loading concentration which was ascribed to the very high shear rate in µIM. In addition, Raman analysis, SEM observations, and simulation results indicated that CNT is preferentially oriented along the flow direction arising from the high shearing effect induced by µIM. POLYM. ENG. SCI., 56:1182–1190, 2016. © 2016 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.

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 score0.038
Threshold uncertainty score0.331

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 head0.009
GPT teacher head0.182
Teacher spread0.173 · 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