Ultra-Low Percolation Threshold Induced by Thermal Treatments in Co-Continuous Blend-Based PP/PS/MWCNTs Nanocomposites

Strugova, Daria; Ferreira, Joana; David, Éric; Demarquette, Nicole R.

doi:10.3390/nano11061620

Cited by 15 publications

(23 citation statements)

References 67 publications

(132 reference statements)

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“…Conversely, a lower filler content could be enough with a greater dispersion of the functionalized filler and with the use of solvents, additives and compatibilizers [19,20]. The doping of carbon materials with heteroelements [21], blending of the polymer matrix with immiscible polymers (i.e., double percolation of CB in immiscible polymers) [22][23][24][25], use of multiple fillers (e.g., CB + CNTs, graphite nanoplatelets + CNTs) [26], slow cooling [27] and other processing conditions (i.e., mold and injection temperatures, injection rate) [25,28], to achieve an electrical percolation threshold, are also reported in some papers [5,29,30]. However, some of these methods appear to be unsuitable for a production scale.…”

Section: Introductionmentioning

confidence: 99%

Thermal/Electrical Properties and Texture of Carbon Black PC Polymer Composites near the Electrical Percolation Threshold

et al. 2021

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Polycarbonate (PC), a thermoplastic polymer with excellent properties, is used in many advanced technological applications. When PC is blended with other polymers or additives, new properties, such as electrical properties, can be available. In this study, carbon black (CB) was melt-compounded with PC to produce polymer compounds with compositions (10–16 wt.% of CB), which are close to or above the electrical percolation threshold (13.5–14 wt.% of CB). Effects due to nanofiller dispersion/aggregation in the polymer matrix, together with phase composition, glass transition temperature, morphology and textural properties, were studied by using thermal analysis methods (thermogravimetry and differential scanning calorimetry) and scanning electron microscopy. The DC electrical properties of these materials were also investigated by means of electrical conductivity measurements and correlated with the “structure” of the CB, to better explain the behaviour of the composites close to the percolation threshold.

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Section: Introductionmentioning

confidence: 99%

Thermal/Electrical Properties and Texture of Carbon Black PC Polymer Composites near the Electrical Percolation Threshold

et al. 2021

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“…The nanosheets' migration promoted by the microstructural refinement during annealing is defined as double percolation threshold. [ 261–267 ]…”

Section: Electrical Propertiesmentioning

confidence: 99%

From two‐dimensional materials to polymer nanocomposites with emerging multifunctional applications: A critical review

et al. 2023

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2D materials are a very up-and-coming class of additives in the field of polymer composites due to their versatility and exceptional intrinsic properties. This enables researchers to create a variety of nanocomposites that can be employed in a myriad of emerging multifunctional applications. The performance of such nanocomposites depends heavily on the quality of the 2D materials, their interactions with the polymer matrix, as well as on their dispersion and morphology when embedded in the polymer. In order to control these variables, one needs to choose wisely between the available synthesis techniques and mixing strategies, playing with the process-structure-property relationships, while keeping in mind the compatibility with current industrial infrastructure. Therefore, this paper presents a brief review on the 2D materials most used in polymer nanocomposites, the main synthesis techniques and mixing routes developed, the state of the art on the most sought-after properties in different systems, and what are the effects of the morphology evolution. In each section, the main challenges are highlighted, and possible strategies to overcome them are presented, for example,

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“…Their large aspect ratio leads to producing a conductive network in polymer matrices, which changes the conductivity. The notable change in conductivity is seen at the percolation onset point due to the formation of a conductive network after percolation onset [ 9 , 24 , 25 , 26 ]. Many equations and models have been proposed in the literature to understand the network formation and conductivity of nanocomposites [ 27 , 28 , 29 ].…”

Section: Introductionmentioning

confidence: 99%

Modeling of Electrical Conductivity for Polymer–Carbon Nanofiber Systems

et al. 2022

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There is not a simple model for predicting the electrical conductivity of carbon nanofiber (CNF)–polymer composites. In this manuscript, a model is proposed to predict the conductivity of CNF-filled composites. The developed model assumes the roles of CNF volume fraction, CNF dimensions, percolation onset, interphase thickness, CNF waviness, tunneling length among nanoparticles, and the fraction of the networked CNF. The outputs of the developed model correctly agree with the experimentally measured conductivity of several samples. Additionally, parametric analyses confirm the acceptable impacts of main factors on the conductivity of composites. A higher conductivity is achieved by smaller waviness and lower radius of CNFs, lower percolation onset, less tunnel distance, and higher levels of interphase depth and fraction of percolated CNFs in the nanocomposite. The maximum conductivity is obtained at 2.37 S/m by the highest volume fraction and length of CNFs.

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Ultra-Low Percolation Threshold Induced by Thermal Treatments in Co-Continuous Blend-Based PP/PS/MWCNTs Nanocomposites

Cited by 15 publications

References 67 publications

Thermal/Electrical Properties and Texture of Carbon Black PC Polymer Composites near the Electrical Percolation Threshold

Thermal/Electrical Properties and Texture of Carbon Black PC Polymer Composites near the Electrical Percolation Threshold

From two‐dimensional materials to polymer nanocomposites with emerging multifunctional applications: A critical review

Modeling of Electrical Conductivity for Polymer–Carbon Nanofiber Systems

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