Tuning the Morphology of Immiscible Polymer Blend-Based Hybrid Nanocomposite for Improving Microwave Absorption Response
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Polymer-blend-based nanocomposites incorporating carbon nanomaterials hold significant potential for microwave absorption materials (MAM) applications. This study investigates the microwave absorption response of hybrid nanocomposites composed of multiwalled carbon nanotubes (MWCNT) and nanographite, prepared using industrial-like melt-mixing masterbatch strategies in a polycarbonate/acrylonitrile-butadiene-styrene copolymer (PC/ABS) blend matrix with varying blend ratios (100/0, 80/20, 60/40, 50/50, 40/60, 20/80, and 0/100) and a constant filler content (2 wt % MWCNT and 2 wt % nanographite). Furthermore, the PC/ABS (40/60) blend-based nanocomposite was prepared with the addition of a compatibilizer, 5 wt % of maleic anhydride grafted ABS (ABS- g -MAH), to verify possible changes in morphology. Morphology, rheology, mechanical, electrical, and electromagnetic properties were correlated. From a morphological perspective, a preferential distribution of MWCNTs within the PC phase was observed, with the different blend ratios leading to a transition from a dispersed matrix morphology in 80/20 and 20/80 (PC/ABS) to cocontinuous morphologies in the intermediate blends (60/40, 50/50, and 40/60). The addition of ABS- g -MAH as a compatibilizer resulted in significant morphological refinement. Electromagnetic properties, evaluated using both X-band rectangular waveguide and broadband coaxial airline techniques, as well as electrical conductivity, were found to be strongly influenced by the varying morphologies. The nanocomposite PC/ABS/ABS- g -MAH with a thickness of 3.0 mm presented a Reflection Loss (RL) of −29.4 dB at 9.44 GHz, with a bandwidth of 3 GHz. Across the broadband spectrum, RL values below −10 dB were observed, including at lower frequencies around 3.70 GHz. These findings suggest that morphological tuning of the polymer matrix offers a promising pathway for optimizing microwave absorption in hybrid nanocomposites.
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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".