Effect of manufacturing processes on percolation threshold and electrical conductivity of polymer/multi layers graphene nanocomposites

Gaikwad, S.D.; Goyal, R. K.

doi:10.1016/j.diamond.2018.03.029

Cited by 16 publications

(13 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Table 3 shows the parameters R , the percolation threshold obtained here, and a comparison with experimental studies previously published [ 31 , 52 , 53 , 54 , 55 ]. To compare our results with experiments made by different authors, we convert from vol% or wt% to % of nanoparticles [ 66 ] using the graphite bulk density as ≈ 2.2 g·cm 3 and the molecular weight.…”

Section: Resultsmentioning

confidence: 64%

“…For PET-graphene nanocomposites, the comparison was made with the experimental results made by Zhang et al [ 53 ], with a thickness of around 2 mm at room temperature. For PEK-graphene nanocomposites, the experimental measurements were compared with the previous study made by Gaikward and Goyal [ 54 ] with samples of ≈ 2 mm of thickness at room temperature, as well. For PP-graphene the experimental results were obtained by a previous work conducted by our group, in which samples had a thickness of 4 mm and the measurements were made at room temperature [ 31 ].…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Non-Covalent Interactions on Polymer-Graphene Nanocomposites and Their Effects on the Electrical Conductivity

Apátiga

Castillo

et al. 2021

Polymers

View full text Add to dashboard Cite

It is well known that a small number of graphene nanoparticles embedded in polymers enhance the electrical conductivity; the polymer changes from being an insulator to a conductor. The graphene nanoparticles induce several quantum effects, non-covalent interactions, so the percolation threshold is accelerated. We studied five of the most widely used polymers embedded with graphene nanoparticles: polystyrene, polyethylene-terephthalate, polyether-ketone, polypropylene, and polyurethane. The polymers with aromatic rings are affected mainly by the graphene nanoparticles due to the π-π stacking, and the long-range terms of the dispersion corrections are predominant. The polymers with linear structure have a CH-π stacking, and the short-range terms of the dispersion corrections are the important ones. We used the action radius as a measuring tool to quantify the non-covalent interactions. This action radius was the main parameter used in the Monte-Carlo simulation to obtain the conductivity at room temperature (300 K). The action radius was the key tool to describe how the percolation transition works from the fundamental quantum levels and connect the microscopic study with macroscopic properties. In the Monte-Carlo simulation, it was observed that the non-covalent interactions affect the electronic transmission, inducing a higher mean-free path that promotes the efficiency in the transmission.

show abstract

Section: Resultsmentioning

confidence: 64%

Section: Methodsmentioning

confidence: 99%

Non-Covalent Interactions on Polymer-Graphene Nanocomposites and Their Effects on the Electrical Conductivity

Apátiga

Castillo

et al. 2021

Polymers

View full text Add to dashboard Cite

show abstract

“…The percolative performance depends on the intrinsic properties of the filler and polymer, the wettability between them, the processing method, filler distribution, and the geometry of the conducting fillers. , In the prepared graphene-based films, obtained through linear fit (shown in Figure d) of the logarithm of the conductivity versus ( f – f c ), the theoretical threshold has been found to be 25 wt % ( r 2 = 0.999) of the graphene filler within the cellulose matrix (near 0.18 volume fraction). , The obtained critical exponent is t = 0.73, which can be related to 2-dimensional conductive systems . A theoretical value of t = 1–1.33 represents a 2-dimensional and a values t = 1.6–2 characterizes a 3-dimensional percolation system. − Nevertheless, several experimental works report a wide range of critical exponent values. , …”

Section: Results and Discussionmentioning

confidence: 97%

“…58−60 Nevertheless, several experimental works report a wide range of critical exponent values. 59,60 As predicted by the percolation theory, the largest change in the electrical conductivity as a function of the filler content occurs between the 10 and 30 wt % graphene content in the films, which corresponds to 0.5 and 2 wt % of graphene in the ink. The electrical resistivity decreases from ρ ≈ 1 11 Ω m for cellulose 61 to ρ ≈ 9.7 × 10 5 Ω m for the G10:C90-printed film (∼5 orders of magnitude) and further ∼6 orders of magnitude, down to 0.90 Ω m, for the G30:C70-printed film.…”

Section: Methodsmentioning

confidence: 90%

Water-Based Graphene Inks for All-Printed Temperature and Deformation Sensors

Franco

Alves

Peřinka

et al. 2020

ACS Appl. Electron. Mater.

View full text Add to dashboard Cite

Graphene (G) has been combined with carboxymethyl cellulose (C) for the development of environmentally friendly inks for printed electronics applications. Water-based ink formulations have been developed for screen-printing with graphene content up to 90 wt %. The printed patterns show a good distribution of the graphene within the cellulose matrix, allowing a good screen-printed pattern definition with a line thickness of 200 μm. The electrical percolation threshold is found to be around 0.18 of volume fraction, corresponding to 1.9 wt % of graphene in the ink composition. A maximum electrical resistivity of ρ = 1.8 × 10–2 Ω m has been obtained for the G90:C10 ink composition, allowing the printing of suitable conductive patters for printed electronics. Further, the multifunctionality of the developed inks is demonstrated by the interesting thermoresistive and piezoresistive properties of the screen-printed G30:C70 and G65:C35 materials, respectively. The maximum thermoresistive sensitivity of S = −0.27 and piezoresistive Gauge factor (GF) of 1 < GF < 5 demonstrate the suitability of the materials for temperature and deformation sensors, respectively, demonstrating the multifunctionality of the materials and their wide range of potential applications in the area of printed electronics.

show abstract

“…Among the various nanofillers utilized in polymer blends, there is a growing tendency in using graphene nanoplatelet (GNP) as the reinforcing filler in recent literature . It is because that this carbon‐based nanoparticle has an extremely high aspect ratio which can provide significant improvement in thermal, mechanical, rheological, and electrical properties . The reinforced blend of NBR/PVC with nanoparticles has been widely studied in the literatures .…”

Section: Introductionmentioning

confidence: 99%

Investigation on the kinetics of cure reaction of acrylonitrile–butadiene rubber (NBR)/polyvinyl chloride (PVC)/graphene nanocomposite using various models

Barghamadi

Ghoreishy

Karrabi

et al. 2019

J of Applied Polymer Sci

View full text Add to dashboard Cite

This research work is devoted to the study of the kinetics of the cure reaction of rubber nanocomposites based on the blend of acrylonitrile-butadiene rubber/poly(vinyl chloride) (NBR/PVC) (70/30) reinforced by graphene. Two series of nanocomposites were prepared using two grades of NBR [33 and 45% of acrylonitrile (ACN)] with a general-purpose PVC. In each series, three graphene contents including 1, 2, and 3 phr were chosen in conjunction with neat polymer blend. The cure behaviors of the samples were quantified using rubber process analyzer and differential scanning calorimeter. The experimentally measured degree-of-cure and rate-of-cure were fitted to five different kinetic equations including Isayev, modified Isayev, Kamal and Ryan, autocatalytic, and model-free approach. The parameters of these models were calculated. The accuracy of each model was checked by comparison of the predicted degree-of-cure and rate-of-cure with their corresponding experimental values. It is shown that by increasing the graphene content at constant ACN content, the activation energy is reduced while the rate-of-cure is increased. On the other hand, the activation energy is increased with increasing the ACN content at constant graphene content. Moreover, the results showed that Isayev model could not predict the curing behavior as accurate as of the other models due to the complex interaction between polymer with curing system and graphene. In addition, the analysis of the computed activation energy using the model-free approached suggested that an advanced equation needs to be employed for the description of this parameter for rubber-based nanocomposites.

show abstract

Effect of manufacturing processes on percolation threshold and electrical conductivity of polymer/multi layers graphene nanocomposites

Cited by 16 publications

References 26 publications

Non-Covalent Interactions on Polymer-Graphene Nanocomposites and Their Effects on the Electrical Conductivity

Non-Covalent Interactions on Polymer-Graphene Nanocomposites and Their Effects on the Electrical Conductivity

Water-Based Graphene Inks for All-Printed Temperature and Deformation Sensors

Investigation on the kinetics of cure reaction of acrylonitrile–butadiene rubber (NBR)/polyvinyl chloride (PVC)/graphene nanocomposite using various models

Contact Info

Product

Resources

About