Monte Carlo simulation for investigating influence of junction and nanofiber properties on electrical conductivity of segregated-network nanocomposites

Narayanunni, Vinay; Gu, Heng; Yu, Choongho

doi:10.1016/j.actamat.2011.04.001

Cited by 24 publications

(11 citation statements)

References 25 publications

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“…In nanotube-filled composites, the contact resistance between the junctions is one of the main reasons for low electrical conductivity. 4,6,7,27 When nanotubes are separated into smaller diameter bundles, the resulting samples have a large number of tube-tube junctions and a high packing density compared to those made of larger diameter bundles, as evident by comparing (a1) and (b1). Therefore, smaller bundles make less electrically resistive paths across the film.…”

Section: Department Of Mechanical Engineering and Materials Science Andmentioning

confidence: 99%

Dramatic electrical conductivity improvement of carbon nanotube networks by simultaneous de-bundling and hole-doping with chlorosulfonic acid

Ryu

Yin

2012

J. Mater. Chem.

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Section: Department Of Mechanical Engineering and Materials Science Andmentioning

confidence: 99%

Dramatic electrical conductivity improvement of carbon nanotube networks by simultaneous de-bundling and hole-doping with chlorosulfonic acid

Ryu

Yin

2012

J. Mater. Chem.

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“…: [22]). More recent work can be found in [23], [24] and [25]. The exponent t is a universal value for two-phase composites.…”

Section: Electrical Conductivitymentioning

confidence: 99%

Three-dimensional Modeling of Percolation Behavior of Electrical Conductivity in Segregated Network Polymer Nanocomposites Using Monte Carlo Method

Gu¹

2016

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Polymer nanocomposites filled with carbon nanotubes are observed to present an onset of the insulator-to-conductor transition through previous experimental studies. In this work, numerical simulations based on Monte Carlo method are performed to investigate the percolation threshold. The conductive fillers are modeled as a three dimensional (3D) network of identical units dispersed in the polymer matrix. However, the distribution of the fibers is not uniform due to the existence of the emulsion particles. The effects of the aspect ratio and fiber length on the critical volume fraction are studied. Linearization is made to the logarithm of simulation results. The calculated critical volume fraction is used in the power-law function to predict the electrical conductivity of the polymer composites. The results from the homogeneous model (without emulsion particles) and the model containing emulsion particles are compared. The effects of the size and the geometrical variation of the emulsion particles are evaluated.

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“…Lamb-wave-based damage detection techniques for plate-like structures have attracted much interest in the field of structural health monitoring (SHM). Although material properties are studied from various aspects, [1][2][3][4][5][6][7][8] rapid, non-destructive evaluation (NDE) of large-area structures is also needed. In particular, techniques involving transducer arrays are of increased interest as they provide higher signal-to-noise ratios (SNR) and beam focusing directivity when compared to conventional sparsely distributed sensors.…”

Section: Introductionmentioning

confidence: 99%

Lamb-wave-based two-dimensional areal scan damage imaging using reverse-time migration with a normalized zero-lag cross-correlation imaging condition

Fang

2016

Structural Health Monitoring

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This article presents a two-dimensional, non-contact, areal scanning system to image and quantify multiple sites of damage in isotropic plates using reverse-time migration with a normalized zero-lag cross-correlation imaging condition. The hybrid system composed of a single piezoelectric actuator mounted onto the structure and a laser Doppler vibrometer for two-dimensional scan. The laser Doppler vibrometer scanned a region in the vicinity of the lead zirconate titanate actuator to capture the scattered wavefield introduced by the damage. The proposed damage imaging technique takes into account the amplitude, phase, and all the frequency content of the single-mode Lamb waves propagating in the plate; thus, the size of multiple sites of damage can be imaged without bias, regardless of the damage locations. Damage image quality was used as a metric to compare two-dimensional areal scans and linear scans as well as to compare the proposed method with existing imaging conditions. The experimental results show that the two-dimensional reverse-time migration/normalized zero-lag cross-correlation technique is capable of imaging and quantification of multiple damage sites in an aluminum plate using a single lead zirconate titanate actuator and a nearby, areal laser Doppler vibrometer scan.

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Monte Carlo simulation for investigating influence of junction and nanofiber properties on electrical conductivity of segregated-network nanocomposites

Cited by 24 publications

References 25 publications

Dramatic electrical conductivity improvement of carbon nanotube networks by simultaneous de-bundling and hole-doping with chlorosulfonic acid

Dramatic electrical conductivity improvement of carbon nanotube networks by simultaneous de-bundling and hole-doping with chlorosulfonic acid

Three-dimensional Modeling of Percolation Behavior of Electrical Conductivity in Segregated Network Polymer Nanocomposites Using Monte Carlo Method

Lamb-wave-based two-dimensional areal scan damage imaging using reverse-time migration with a normalized zero-lag cross-correlation imaging condition

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