Electrical and thermal property enhancement of fiber-reinforced polymer laminate composites through controlled implementation of multi-walled carbon nanotubes

Namiko Yamamoto, Roberto Guzman de Villoria, Brian L. Wardle

Research output: Contribution to journalArticle

99 Citations (Scopus)

Abstract

Aligned carbon nanotubes (CNTs) are implemented into alumina-fiber reinforced laminates, and enhanced mass-specific thermal and electrical conductivities are observed. Electrical conductivity enhancement is useful for electrostatic discharge and sensing applications, and is used here for both electromagnetic interference (EMI) shielding and deicing. CNTs were grown directly on individual fibers in woven cloth plies, and maintained their alignment during the polymer (epoxy) infiltration used to create laminates. Using multiple complementary methods, non-isotropic electrical and thermal conductivities of these hybrid composites were thoroughly characterized as a function of CNT volume/mass fraction. DC and AC electrical conductivity measurements demonstrate high electrical conductivity of >100. S/m (at 3% volume fraction, ∼1.5% weight fraction, of CNTs) that can be used for multifunctional applications such as de-icing and electromagnetic shielding. The thermal conductivity enhancement (∼1. W/m. K) suggests that carbon-fiber based laminates can significantly benefit from aligned CNTs. Application of such new nano-engineered, multi-scale, multi-functional CNT composites can be extended to system health monitoring with electrical or thermal resistance change induced by damage, fire-resistant structures among other multifunctional attributes.

Original languageEnglish (US)
Pages (from-to)2009-2015
Number of pages7
JournalComposites Science and Technology
Volume72
Issue number16
DOIs
StatePublished - Nov 16 2012

Fingerprint

Carbon Nanotubes
Laminates
Carbon nanotubes
Polymers
Electric properties
Thermodynamic properties
Snow and ice removal
Fibers
Composite materials
Thermal conductivity
Electromagnetic shielding
Electrostatic discharge
Acoustic impedance
Aluminum Oxide
Signal interference
Infiltration
Heat resistance
Shielding
Carbon fibers
Volume fraction

All Science Journal Classification (ASJC) codes

  • Ceramics and Composites
  • Engineering(all)

Cite this

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title = "Electrical and thermal property enhancement of fiber-reinforced polymer laminate composites through controlled implementation of multi-walled carbon nanotubes",
abstract = "Aligned carbon nanotubes (CNTs) are implemented into alumina-fiber reinforced laminates, and enhanced mass-specific thermal and electrical conductivities are observed. Electrical conductivity enhancement is useful for electrostatic discharge and sensing applications, and is used here for both electromagnetic interference (EMI) shielding and deicing. CNTs were grown directly on individual fibers in woven cloth plies, and maintained their alignment during the polymer (epoxy) infiltration used to create laminates. Using multiple complementary methods, non-isotropic electrical and thermal conductivities of these hybrid composites were thoroughly characterized as a function of CNT volume/mass fraction. DC and AC electrical conductivity measurements demonstrate high electrical conductivity of >100. S/m (at 3{\%} volume fraction, ∼1.5{\%} weight fraction, of CNTs) that can be used for multifunctional applications such as de-icing and electromagnetic shielding. The thermal conductivity enhancement (∼1. W/m. K) suggests that carbon-fiber based laminates can significantly benefit from aligned CNTs. Application of such new nano-engineered, multi-scale, multi-functional CNT composites can be extended to system health monitoring with electrical or thermal resistance change induced by damage, fire-resistant structures among other multifunctional attributes.",
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Electrical and thermal property enhancement of fiber-reinforced polymer laminate composites through controlled implementation of multi-walled carbon nanotubes. / Yamamoto, Namiko; Guzman de Villoria, Roberto; Wardle, Brian L.

In: Composites Science and Technology, Vol. 72, No. 16, 16.11.2012, p. 2009-2015.

Research output: Contribution to journalArticle

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