Thermal conductivity of carbon nanotube and hexagonal boron nitride polymer composites

TabkhPaz, Majid; Shajari, Shaghayegh; Mahmoodi, Mehdi; Park, Dong-Yeob; Suresh, Hamsini; Park, Simon S.

doi:10.1016/j.compositesb.2016.06.036

Cited by 62 publications

(19 citation statements)

References 71 publications

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“…However, there yet exists a clear theoretical understanding of heat transfer mechanism in nanocomposites with 3D filler networks. Most of the theoretical models are based on the effective medium theory (EMT) [136][137][138][139][140][141][142] or the percolation-based theory [143][144][145], which might not be useful for nanocomposites with 3D filler network. Many of the numerical methods, such as Monte Carlo method [ 146 -151 ], finite element method [ 152 , 153 ] and lattice Boltzmann method [154,155], recently developed by the nanoscale heat transfer community might shed some lights in the physical understanding, while challenging to be used for the design.…”

Section: Thermal Conductivity Of Polymer Nanocompositesmentioning

confidence: 99%

Thermal conductivity of polymers and polymer nanocomposites

Huang

Qian

Yang

2018

Materials Science and Engineering: R: Reports

640

391

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Polymers are widely used in industry and in our daily life because of their diverse functionality, light weight, low cost and excellent chemical stability. However, on some applications such as heat exchangers and electronic packaging, the low thermal conductivity of polymers is one of the major technological barriers. Enhancing the thermal conductivity of polymers is important for these applications and has become a very active research topic over the past two decades. In this review article, we aim to: 1). systematically summarize the molecular level understanding on the thermal transport mechanisms in polymers in terms of polymer morphology, chain structure and inter-chain coupling; 2). highlight the rationales in the recent efforts in enhancing the thermal conductivity of nanostructured polymers and polymer nanocomposites. Finally, we outline the main advances, challenges and outlooks for highly thermal-conductive polymer and polymer nanocomposites. the inter-chain coupling. Fig. 1 Schematic diagrams of a polymer: (a) the morphology of a polymer consisting of crystalline and amorphous domains; (b) structure of a polymer chain.In addition to engineering the morphology of polymer chains, another common method to enhance the thermal conductivity of polymers is to blend polymers with highly thermal conductive fillers. The progress of nanotechnology over the last two decades not only provides more diverse high thermal conductivity fillers of different material types and topological shapes but also advances the understanding at the nanoscale. Fig. 2 shows a sketch of a polymer nanocomposite to illustrate the thermal transport mechanisms. In general, there are two types of polymer nanocomposites depending on whether nano-fillers form a network or not. When the filler concentration is low, no inter-filler networks could be formed, as shown in Fig. 2(a). The thermal conductivity is essentially determined by the filler-matrix coupling, i.e, interfacial thermal resistance, and the concentration and the geometric shapes of fillers. When the filler concentration is large enough, high conductivity fillers might form thermally conductive networks, as shown in Fig. 2(b). Although nanocomposites with filler network could possess a higher thermal conductivity than that without a network, their thermal conductivity could still be low due to the large inter-filler thermal contact resistance. Recently, three-dimensional fillers, such as carbon and graphene foams, have drawn a lot of attention. The fundamental thermal transport mechanisms and recent synthesis efforts in both types of nanocomposites are reviewed.This review article is organized as follows. In Section 2, we introduce the experimental progress on the enhancement of thermal conductivity by aligning polymer chains, and then review the methods to further tune the thermal conductivity by engineering chain structure and inter-chain coupling, as illustrated in Fig. 3(a). In Section 3, we discuss the thermal conductivity of polymer nanocomposites both with and without inter...

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Section: Thermal Conductivity Of Polymer Nanocompositesmentioning

confidence: 99%

Thermal conductivity of polymers and polymer nanocomposites

Huang

Qian

Yang

2018

Materials Science and Engineering: R: Reports

640

391

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“…EMA was also utilized by TabkhPaz et al to determine the thermal conductivity of h‐BN and their polymer nanocomposites. Earlier, Alaghemandi also reported the thermal conductivity of polyamide (PA)‐6,6 in conjunction with graphene surfaces having a charge deficit and charge excess (±0.2e, ‘e’ is the elementary charge).…”

Section: Atomistic Simulations To Characterize the Graphene‐polymer Nmentioning

confidence: 99%

“…It is the electrical insulating property, which differentiates h‐BN nanofillers from various other nanofillers making it suitable for applications in the field of thermal packaging. Due to exceptional properties of h‐BN nanofillers, they have found applications in the field of electronic packaging, electrode additive material, UV light emitter in optoelectronics, micro and nano devices, charge barrier layer for electronic equipment, therapeutic agent (to treat the neurogenetic disorders), cancer treatment (e.g. the cerebral glioblastoma multiforme), water purifier (as they absorb oils, dyes, and solvents), hydrogen storage, catalytic supports, membrane for gas separation, drug carrier, and high‐temperature applications …”

Section: Introductionmentioning

confidence: 99%

“…69 It is the electrical insulating Young's modulus (TPa) 1 2 1.18 54 0.8 50 Fracture stress (GPa) 130 2 133 50 165 50 Thermal conductivity (W/m/K)~5000 2 1700-2000 50 Band gap (eV) 0 1 5-6; chirality independent 4 Raman active modes G band: 1580/cm, 2D band: 2700/cm 7 A1 tangential mode: 1370/cm, RBM model: 153/cm 55 Characteristic peak: 1369/cm 51 Work Function (eV) 4.49 56 5.30 57 3.65 56 property, which differentiates h-BN nanofillers from various other nanofillers making it suitable for applications in the field of thermal packaging. Due to exceptional properties of h-BN nanofillers, they have found applications in the field of electronic packaging, [70][71][72] electrode additive material, 56 UV light emitter in optoelectronics, 19,73 micro and nano devices, 73 charge barrier layer for electronic equipment, 74 therapeutic agent (to treat the neurogenetic disorders), cancer treatment (e.g. the cerebral glioblastoma multiforme), water purifier (as they absorb oils, dyes, and solvents), hydrogen storage, 75 catalytic supports, 76 membrane for gas separation, 77 drug carrier, 57 and high-temperature applications.…”

Section: Introductionmentioning

confidence: 99%

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Atomistic modeling of graphene/hexagonal boron nitride polymer nanocomposites: a review

Verma

Parashar

Packirisamy

2017

WIREs Comput Mol Sci

103

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Due to their exceptional properties, graphene and hexagonal boron nitride (h‐BN) nanofillers are emerging as potential candidates for reinforcing the polymer‐based nanocomposites. Graphene and h‐BN have comparable mechanical and thermal properties, whereas due to high band gap in h‐BN (~5 eV), have contrasting electrical conductivities. Atomistic modeling techniques are viable alternatives to the costly and time‐consuming experimental techniques, and are accurate enough to predict the mechanical properties, fracture toughness, and thermal conductivities of graphene and h‐BN‐based nanocomposites. Success of any atomistic model entirely depends on the type of interatomic potential used in simulations. This review article encompasses different types of interatomic potentials that can be used for the modeling of graphene, h‐BN, and corresponding nanocomposites, and further elaborates on developments and challenges associated with the classical mechanics‐based approach along with synergic effects of these nano reinforcements on host polymer matrix. This article is categorized under: Molecular and Statistical Mechanics > Molecular Mechanics Structure and Mechanism > Computational Materials Science Molecular and Statistical Mechanics > Molecular Dynamics and Monte‐Carlo Methods

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“…Also, density (ρ = 1.9 g/cm 3 ) and elastic moduli (E = 46.9 GPa in parallel direction and 73.8 GPa in perpendicular direction) of BN are close to the corresponding properties of human bone. BN has been used as a filler in polymeric composite to improve thermal, mechanical and other properties [31][32][33][34][35][36][37]. However, there is little reported on the incorporation of BN with silanes for formation of a composite biocompatible coating to improve corrosion resistance of Mg alloys in physiological environments.…”

Section: Introductionmentioning

confidence: 99%

Hexagonal Boron Nitride Impregnated Silane Composite Coating for Corrosion Resistance of Magnesium Alloys for Temporary Bioimplant Applications

Al-Saadi

Banerjee

Anisur

et al. 2017

Metals

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Magnesium and its alloys are attractive potential materials for construction of biodegradable temporary implant devices. However, their rapid degradation in human body fluid before the desired service life is reached necessitate the application of suitable coatings. To this end, WZ21 magnesium alloy surface was modified by hexagonal boron nitride (hBN)-impregnated silane coating. The coating was chemically characterised by Raman spectroscopy. Potentiodynamic polarisation and electrochemical impedance spectroscopy (EIS) of the coated alloy in Hanks' solution showed a five-fold improvement in the corrosion resistance of the alloy due to the composite coating. Post-corrosion analyses corroborated the electrochemical data and provided a mechanistic insight of the improvement provided by the composite coating.

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Thermal conductivity of carbon nanotube and hexagonal boron nitride polymer composites

Cited by 62 publications

References 71 publications

Thermal conductivity of polymers and polymer nanocomposites

Thermal conductivity of polymers and polymer nanocomposites

Atomistic modeling of graphene/hexagonal boron nitride polymer nanocomposites: a review

Hexagonal Boron Nitride Impregnated Silane Composite Coating for Corrosion Resistance of Magnesium Alloys for Temporary Bioimplant Applications

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