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February 6, 2026Macromolecular Materials and Engineering1 citationsOpen Access

Electrical and Rheological Behavior of Melt‐Spun Polyamide 6 via Synergistic SWCNT/Carbon Black Networks

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MKMüslüm KaplanBKBeate KrauseNSNorbert Smolka

Key Points

  • The aim is to investigate the electrical and mechanical properties of polyamide 6 composites with SWCNT and carbon black.
  • Characterized composites with optimized SWCNT and carbon black ratios.
  • Assessed electrical, rheological, and thermal properties.
  • Identified percolation thresholds for effective conductivity.
  • Evaluated shear-thinning behavior at high temperatures.
  • Achieved resistivity levels between 10^2 and 10^4 Ω·cm.
  • Maintained complex viscosity around 1400 Pa·s at 270°C.
  • Mechanical properties exhibited tenacity of 4–6 cN/dtex and 100%–150% elongation.
  • Demonstrated effective connectivity in hybrid filler networks.

Abstract

ABSTRACT Melt‐spun electrically conductive polymer fibers often face trade‐offs among conductivity, mechanical strength, and processability. This study introduces a synergistic SWCNT/carbon black (CB) hybrid strategy where spherical CB particles appear to maintain connectivity within aligned SWCNT networks. PA6 composites with optimized ratios (PA6/1% SWCNT/3% CB) were systematically characterized for electrical, rheological, thermal, and processing behavior. Percolation thresholds (φc, SWCNT ≈ 0.1–0.25 wt.%, φc, CB ≈ 2–2.5 wt.%) confirmed the superior efficiency of SWCNTs in network formation. The hybrid system maintained resistivity of ∼10 2 –10 4 Ω·cm despite drawing (DDR 2–4), while single‐filler SWCNT systems failed (>10 9 Ω·cm). Complex viscosity (∼1400 Pa·s at 270°C) remained within processable ranges despite elevated values, exhibiting stable shear‐thinning behavior. Mechanical properties showed tenacity of 4–6 cN/dtex with 100%–150% elongation. These structure‐property relationships demonstrate the potential of hybrid nanofiller systems for producing conductive filaments suitable for smart textile applications, positioning hybrid SWCNT/CB systems as promising candidates for scalable smart textile manufacturing.

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Cite This Study

Kaplan et al. (2026) studied this question.

synapsesocial.com/papers/6985852f8f7c464f230085b2https://doi.org/10.1002/mame.202500393
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