Preparation and characterization of poly(ether imide) nanocomposites and nanocomposite foams

Sundarram, Sriharsha Srinivas; Kim, Y.-H.; Li, W.

doi:10.1016/b978-1-78242-308-9.00004-5

Cited by 12 publications

(4 citation statements)

References 26 publications

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“…Absorption characteristics for the composite samples were conducted by collecting free space reflectivity data in the microwave band, using a Naval Research Laboratories (NRL)-type arch setup in an anechoic chamber [ 4 , 41 ], with walls completely covered by layers of lightweight, flexible, microwave-absorbing foam, shown in Figure 3 . The NRL arch consists of two Cobham H-1498 horn antennas that are equally distanced from the center of the arch and positioned at symmetric angles (10°) that are approximately two meters above a flat reflecting surface.…”

Section: Methodsmentioning

confidence: 99%

CNT Conductive Epoxy Composite Metamaterials: Design, Fabrication, and Characterization

et al. 2020

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In this study, carbon nanotube (CNT) epoxy composite films were fabricated, characterized, and tested as resonant, plasmonic metamaterials. CNT–epoxy formulations, containing diverse CNT loadings, were fabricated and templates were used to generate repeating arrays of squares of diverse dimensions. Their absorption characteristics were characterized by collecting free space reflectivity data in the microwave band, using an arch setup in an anechoic chamber. Data were collected from 2 to 20 GHz. The materials behavior was modeled using a standard unit-cell-based finite element model, and the experimental and calculated data were compared. The experimental results were successfully reproduced with appropriate adjustments to relative permittivity of the composite films. This research demonstrates the ability to use CNT-based conductive composites for manufacturing metamaterials, offering a potentially lighter-weight alternative in place of traditional metal films. Lower conductivity than other conductors causes a widening of the absorption curves, providing a wider band of frequency absorption.

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Section: Methodsmentioning

confidence: 99%

CNT Conductive Epoxy Composite Metamaterials: Design, Fabrication, and Characterization

et al. 2020

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“…The improved properties of TP nanocomposites are attributed to the high surface area of the fillers, allowing interphase interactions that result in functional materials with extraordinary properties, which are suitable for several applications such as packaging materials, sensors, thermal and electrical insulation in the construction sector, composites for automotive and health care industries, etc. [10][11][12][13][14][15][16][17]. Moreover, the inclusion of iron oxide fillers in elastomeric matrices not only improves the mechanical, actuation, and magnetic properties [16] but also tunes their mechanical performance with the presence or absence of a magnetic field [17].…”

Section: Introductionmentioning

confidence: 99%

Inductive Thermal Effect on Thermoplastic Nanocomposites with Magnetic Nanoparticles for Induced-Healing, Bonding and Debonding On-Demand Applications

et al. 2023

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In this study, the heating capacity of nanocomposite materials enhanced with magnetic nanoparticles was investigated through induction heating. Thermoplastic (TP) matrices of polypropylene (PP), thermoplastic polyurethane (TPU), polyamide (PA12), and polyetherketoneketone (PEKK) were compounded with 2.5–10 wt.% iron oxide-based magnetic nanoparticles (MNPs) using a twin-screw extrusion system. Disk-shape specimens were prepared by 3D printing and injection molding. The heating capacity was examined as a function of exposure time, frequency, and power using a radio frequency (RF) generator with a solenoid inductor coil. All nanocomposite materials presented a temperature increase proportional to the MNPs’ concentration as a function of the exposure time in the magnetic field. The nanocomposites with a higher concentration of MNPs presented a rapid increase in temperature, resulting in polymer matrix melting in most of the trials. The operational parameters of the RF generator, such as the input power and the frequency, significantly affect the heating capacity of the specimens, higher input power, and higher frequencies and promote the rapid increase in temperature for all assessed nanocomposites, enabling induced-healing and bonding/debonding on-demand applications.

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“…Also, PEI offers a low weight alternative to metals, excellent long‐term heat resistance, resistance to creep and fatigue, excellent flame retardancy, extremely low smoke generation, and resistance to fuels, coolants, and lubricants, which makes it one of the few thermoplastics approved for use in the aerospace industry. However, this polymer has a relatively low room‐temperature thermal conductivity (0.1–0.3 W m −1 K −1 ) due to its amorphous structure and weak van der Waals (vdW) interactions between the polymer chains, which may limit its aerospace application 3,4 . In general, adding conductive nanofillers to a polymer matrix is a versatile approach to improve its thermal conductivity 5,6 .…”

Section: Introductionmentioning

confidence: 99%

“…However, this polymer has a relatively low room-temperature thermal conductivity (0.1-0.3 W m À1 K À1 ) due to its amorphous structure and weak van der Waals (vdW) interactions between the polymer chains, which may limit its aerospace application. 3,4 In general, adding conductive nanofillers to a polymer matrix is a versatile approach to improve its thermal conductivity. 5,6 Researchers have attempted to improve the thermal conductivity of PI or PEI by adding various pure or hybrid nanofillers, such as carbon nanofibers, 7 aluminum nitride (AlN), 8 low-melting-point SnBi 17 Cu 0.5 , 9 hybrid carbon nanotube (CNT)/PI-grafted multiwall CNT/AlN, 10 PI-coated hexagonal boron nitride (h-BN), 11,12 iron oxide-doped h-BN, 12 expanded graphite, 13 short fiber/expanded graphite, 14 alkyl-or phenyl-aminated graphene oxide (GO), 15,16 graphite nanoplatelets, 17 and graphene nanoplatelets (GNPs) 18 to the polymer matrix.…”

Section: Introductionmentioning

confidence: 99%

A systematic molecular dynamics study of the thermal conductivities of polyetherimide/graphene nanocomposites using response surface methodology

et al. 2023

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In this work, an I‐optimal response surface model was used to systematically investigate the effects of graphene (Gr) content (Factor A; 0–10 wt%), temperature (Factor B; 0–200°C), and Gr layer structure (Factor C; monolayer versus five‐layer) on the thermal conductivities of PEI/Gr nanocomposites, which were determined using reverse non‐equilibrium molecular dynamics (RNEMD) simulation with the Müller‐Plathe algorithm. Based on a reduced quadratic model that was fit to the data, the effect of Factor A on thermal conductivity was found to be more pronounced for the PEI/Gr nanocomposite with the five‐layer Gr structure. Moreover, Factor B had expectedly the largest effect on thermal conductivity, followed by Factor C. However, these two factors were involved in significant interactions with Factor A. Based on numerical optimizations, the predicted thermal conductivities of the PEI/Gr nanocomposites varied from 0.057 (minimum) to 0.174 W m−1 K−1 (maximum). Overall, the maximum thermal conductivity of the PEI/Gr nanocomposite may be obtained at any given temperature in the range of 0–200°C by the addition of multi‐layer Gr (a cheaper alternative to monolayer Gr) at a content of 10 wt%. For example, the addition of 10 wt% five‐layer Gr to PEI at room temperature (25°) results yields an increase in its thermal conductivity of about 30%. Also, going from 0 to 100°C, an increase of about 76% is predicted for the thermal conductivity of the PEI/Gr nanocomposite containing 10 wt% five‐layer Gr. The results of this study shed light on the interactions between the three investigated factors.Highlights Thermal conductivities of polyetherimide/graphene (PEI/Gr) nanocomposites simulated. Graphene (Gr) content, temperature, and Gr layer structure affected the thermal behavior. Response surface methodology (RSM) aided in the identification of factorial interactions. Numerical optimization of the thermal conductivities enabled by a predictive model.

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Preparation and characterization of poly(ether imide) nanocomposites and nanocomposite foams

Cited by 12 publications

References 26 publications

CNT Conductive Epoxy Composite Metamaterials: Design, Fabrication, and Characterization

CNT Conductive Epoxy Composite Metamaterials: Design, Fabrication, and Characterization

Inductive Thermal Effect on Thermoplastic Nanocomposites with Magnetic Nanoparticles for Induced-Healing, Bonding and Debonding On-Demand Applications

A systematic molecular dynamics study of the thermal conductivities of polyetherimide/graphene nanocomposites using response surface methodology

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