Materials Synthesis and Characterization of Nano-Titanium Carbide-Filled Acrylonitrile Butadiene-Styrene Polymer Composites for Electromagnetic Interference Shielding
Bibliographic record
Abstract
The demand for electronic devices and miniaturization has led to the need for sustainable and cost-effective EMI shielding materials.The advent of new-age technologies in the aerospace, energy, healthcare, telecommunications, and automobile industries demands alternative material candidates that are more cost-effective and environmentally sustainable than the currently used metallic alloys.Conducting polymers is a suitable material choice for EMI shielding in this regard.This study presents a low-cost, environmentally friendly EMI shielding nanocomposites made from regrind ABS and nano-TiC at 5 wt%, 10 wt%, and 15 wt% filler loadings.The composites show a homogenous distribution of nano-TiC particles, increased crystallinity with nano-TiC loading, and improved EMI shielding effectiveness by 16.8% when the nano-TiC filler content is increased from 0 wt% to 15 wt%.These findings could contribute to the development of advanced EMI shielding materials made from recycled ABS/nano-TiC composites for various industrial applications.
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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) | 0.002 | 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".