Nanofiller dispersion in polymer dielectrics

Tuncer, Enis; Cao, Yang; Irwin,

doi:10.1109/ceidp.2012.6378930

Cited by 7 publications

(9 citation statements)

References 14 publications

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“…This method is used to achieve high volume fraction of fiber up to 70% and better mechanical properties are obtained in the part. 9,22,39 Resin flow depends on viscosity; high viscosity affects the resin flow. Presence of nanoparticles in the matrix resin affects cure kinetics and make complications in the changed viscosity of resin, 9,40 which results in non-uniform distribution of resin over entire fiber volume.…”

Section: Vacuum Assisted Resin Transfer Molding (Vartm)mentioning

confidence: 99%

“…For instance, the SiO 2 particles were regularly discovered agglomerated in polymer matrices. 39 Mixing assisted with high energy shear force produces better outcomes by making enough energy to the separate agglomeration of particles. Proper dispersion of nanoparticles in the polymer matrix can be achieved by using a high energy sonication process.…”

Section: Processing Of Nanomaterialsmentioning

confidence: 99%

“…The force required to separate small nanoparticles depends upon particle to particle interaction and the viscosity of the resin in which they are dispersed. 39,42 The performance of the nanocomposites in strength and modulus may be affected by sonication amplitude. 21…”

Section: Processing Of Nanomaterialsmentioning

confidence: 99%

See 2 more Smart Citations

Polymeric hybrid nanocomposites processing and finite element modeling: An overview

Uthale¹,

Dhamal²,

Shinde³

et al. 2021

Science Progress

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Polymeric hybrid nanocomposites, due to improved mechanical, thermal, and electrical properties, are key factors in recent technologies. Because of anisotropic characteristics of polymeric hybrid nanocomposites, mechanical properties and their behavior are very difficult to predict. If they are fabricated with complicated woven fabric patterns, it becomes more difficult to predict. This review discusses in detail the properties and manufacturing methods of various fibers, focuses on different manufacturing, processing, and characterization techniques used for polymeric hybrid nanocomposites. Theoretical composite models and some recent advances in modeling and simulation techniques for polymer nanoparticle composites are discussed and thus this review can provide significant guidelines for the development of manufacturing, characterization, testing, modeling, and simulation techniques for high performance hybrid polymer nanocomposites as current state of art.

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Section: Vacuum Assisted Resin Transfer Molding (Vartm)mentioning

confidence: 99%

Section: Processing Of Nanomaterialsmentioning

confidence: 99%

See 1 more Smart Citation

Polymeric hybrid nanocomposites processing and finite element modeling: An overview

Uthale¹,

Dhamal²,

Shinde³

et al. 2021

Science Progress

View full text Add to dashboard Cite

show abstract

“…This means that, at the same filler content, changes in filler dispersion has an impact on the amount of inter-particle interactions and consequently the value of the effective dielectric constant. In fact, several studies have shown that agglomeration of dielectric particles in a non-dielectric polymer results in enhancement of effective dielectric constant due to increased inter-particle interactions [18,19].…”

Section: Introductionmentioning

confidence: 99%

A method for quantitative characterization of agglomeration degree in nanocomposites

Golbang¹,

Famili

Shirvan

2017

Composites Science and Technology

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Achieving a quantitative tool for the characterization of dispersion in composites is a challenge. Effective dielectric constant of composites varies with changes in inter-particle interactions which originate from changes in inter-particle spacing. In this respect, a novel methodology has been introduced to relate the dispersion state of composites to their effective dielectric constant. Total filler volume fraction, volume fraction of particles inside agglomerates and size of agglomerates are considered as dispersion factors which affect the effective dielectric constant. Inter-particle interactions are calculated based on the introduced dispersion factors. It is shown that the effective dielectric constant of composites increases with filler concentration and agglomeration due to increased inter-particle interactions. Growth of agglomerates size and volume fraction of particles inside the agglomerates result in further enhancement of effective dielectric constant. This increment is abrupt at percolation where the particles or agglomerates approach each other and the inter-particle interactions are pronounced. It is possible to characterize the dispersion state of a composite with given effective dielectric constant and filler volume fraction using the developed effective dielectric constant.

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“…Quasi-random and Gaussian random structures (2D random structure) are proposed as good candidate for energy harvesting 11 12 13 14 . All physical phenomena in a random medium are demonstrated in arbitrary random structures that are fabricated by different methods such as removing the particles from random positions in photonic crystal 15 , self-assembly of particles 9 , deep reactive ion etching 16 , chemical vapor deposition 17 , introducing particles into polymer matrix 18 , and femtosecond laser focusing to create randomly distributed voids 19 and electron lithography for small area fabrication 20 . More or less all fabrication methods suffer from lack of reproducibility, control and limitations attributed to wide area fabrication.…”

mentioning

confidence: 99%

Speckle lithography for fabricating Gaussian, quasi-random 2D structures and black silicon structures

Bingi

Murukeshan

2015

Sci Rep

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Laser speckle pattern is a granular structure formed due to random coherent wavelet interference and generally considered as noise in optical systems including photolithography. Contrary to this, in this paper, we use the speckle pattern to generate predictable and controlled Gaussian random structures and quasi-random structures photo-lithographically. The random structures made using this proposed speckle lithography technique are quantified based on speckle statistics, radial distribution function (RDF) and fast Fourier transform (FFT). The control over the speckle size, density and speckle clustering facilitates the successful fabrication of black silicon with different surface structures. The controllability and tunability of randomness makes this technique a robust method for fabricating predictable 2D Gaussian random structures and black silicon structures. These structures can enhance the light trapping significantly in solar cells and hence enable improved energy harvesting. Further, this technique can enable efficient fabrication of disordered photonic structures and random media based devices.

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Nanofiller dispersion in polymer dielectrics

Abstract: Nanocomposite dielectrics have been developed for high voltage electrical insulation and electrical storage applications. In this contribution different manufacturing methods and specifically nanodielectrics studied for capacitor applications are presented from the industrial perspective.

Cited by 7 publications

References 14 publications

Polymeric hybrid nanocomposites processing and finite element modeling: An overview

Polymeric hybrid nanocomposites processing and finite element modeling: An overview

A method for quantitative characterization of agglomeration degree in nanocomposites

Speckle lithography for fabricating Gaussian, quasi-random 2D structures and black silicon structures

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