Electrical and morphological properties of microinjection molded polystyrene/multiwalled carbon nanotubes nanocomposites
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".