A thermal model to describe kinetic dispersion in rubber nanocomposites: The effect of mixing time on dispersion

Rishi, Kabir; Narayanan, Vishak; Beaucage, Gregory; McGlasson, Alex; Kuppa, Vikram; Ilavský, Ján; Rackaitis, Mindaugas

doi:10.1016/j.polymer.2019.03.044

Cited by 23 publications

(11 citation statements)

References 58 publications

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“…Jin et al 14 milled their silica nanocomposites for 6 min, whereas in this study, the mixing time was 20 min. Rishi et al 16 have detailed the effects of mixing time such that longer mixing times result in larger values of A 2 , related to better nanodispersion. Additionally, A 2 is sensitive to the fit parameters from the dilute scattering curve.…”

Section: ■ Resultsmentioning

confidence: 99%

“…To describe this distribution, various correlation functions with different closure relationships are used. A combination of these correlation functions with their respective closure relationships have been applied to a wide variety of systems ranging from thermally dispersed colloids to kinetically dispersed polymer nanocomposites. − The Ornstein and Zernike function in eq generalizes the interactions of particles in the liquid state such that the total correlation function, is the sum of the direct binary correlations, c ( r ), plus the effect of higher order interactions, expressed as a convolution of h ( r ) and c ( r ) over all distances r . Here, ρ indicates the number density of particles/nanoaggregates.…”

Section: Introductionmentioning

confidence: 99%

“…On the nanoscale, aggregates cluster in a nanonetwork at about 5 vol % and these nanonetwork clusters percolate into a micron-scale network at about 20 vol %. The nanoscale network is linked to the dynamic mechanical response at low strain while the micron-scale network of clusters is responsible for the Payne effect at large strain amplitude. − Small-angle X-ray scattering (SAXS) and the RPA have been used to obtain the pseudo-second virial coefficient, A 2 , in these mean-field systems. ,− Positive values of A 2 indicate good dispersion, and negative values of A 2 indicate phase separation. A 2 has also been used to determine the potential function for coarse grain simulations .…”

Section: Introductionmentioning

confidence: 99%

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Quantification of Dispersion for Weakly and Strongly Correlated Nanofillers in Polymer Nanocomposites

et al. 2020

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The dispersion of nanoparticles in viscous polymers is dictated by kinetics, interaction potentials between particles, and interfacial compatibility between the matrix and dispersed phases. It was previously proposed that an analogy can be made between thermally dispersed colloids and kinetically dispersed nanoparticles in viscous media when weak interactions exist between particles allowing for a mean-field description under the Ginzburg criterion such as for carbon black dispersed in polybutadiene elastomer. For these cases, the second virial coefficient can be used to quantify the quality of dispersion; additionally, the nanoscale network mesh size can be calculated, which is related to dynamic properties. However, this approach fails for nanoparticles with surface charges or other specific interactions that lead to correlations. Here, these correlated systems are investigated in the context of the mean-field systems in order to gain a comparative description of dispersion using the network mesh size and a derived virial coefficient. The physical origin of the structural parameters from the proposed model for these correlated systems is investigated.

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Section: ■ Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Quantification of Dispersion for Weakly and Strongly Correlated Nanofillers in Polymer Nanocomposites

et al. 2020

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“…When relatively hydrophilic chitin nanocrystals are added to hydrophobic matrixes, there will be a continuous competition between the hydrodynamic forces breaking the chitin nanocrystal particles up and the cohesive forces bringing the chitin nanocrystal particles together. This is commonly observed for nanoparticles in polymer and aqueous systems 18,[42][43][44] . So ways to reduce E aggregate , away from the use of compatibilizers, are relevant.…”

Section: Discussionmentioning

confidence: 63%

Quantification of energy input required for chitin nanocrystal aggregate size reduction through ultrasound

Colijn

Fokkink

Schroën

2021

Preprint

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Nanoparticles have been claimed to contribute efficiently to e.g. the mechanical strength of composite materials when present as individual particles. However, these particles tend to aggregate. In this paper we prepare nanocrystals from chitin, a product with high potential added value for application in bio-based materials, and investigate the effect of ultrasound on de-aggregation. Chitin nanocrystals with a length ~ 200 nm and a diameter ~ 15 nm, were obtained via acid hydrolysis of crude chitin powder. Freeze drying resulted in severe aggregation and after redispersion sizes up to ~ 200 µm were found. Ultrasound treatment was applied and break up behaviour was investigated using static light scattering, dynamic light scattering, and laser diffraction. Our results suggest that the cumulative energy input was the dominant factor for chitin nanocrystal aggregate breakup. When a critical energy barrier of ~ 100 kJ / g chitin nanocrystals was exceeded, the chitin nanocrystal aggregates broke down to nanometre range. The break up was mostly a result of fragmentation: the aggregation energy of chitin nanocrystal aggregates was quantified to be ~ 370 kJ / g chitin nanocrystals and we hypothesize that mainly van der Waals interactions and hydrogen bonds are responsible for aggregation.

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“…A coherent method for an effective dispersion of nanomaterials in a liquid or solid medium is a crucial phase. In earlier studies, high-speed mixers, magnetic stirrers, ultrasonic baths, ball milling, and other homogenizers are presented [ 140 ]. The nano-size of composite mixtures tend to re-aggregate due to the presence of van der Waals forces and confine their high surface area control [ 141 ].…”

Section: Limitations and Challengesmentioning

confidence: 99%

Recent Advances of Graphene-Derived Nanocomposites in Water-Based Drilling Fluids

et al. 2020

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Nanocomposite materials have distinctive potential for various types of captivating usage in drilling fluids as a well-designed solution for the petroleum industry. Owing to the improvement of drilling fluids, it is of great importance to fabricate unique nanocomposites and advance their functionalities for amplification in base fluids. There is a rising interest in assembling nanocomposites for the progress of rheological and filtration properties. A series of drilling fluid formulations have been reported for graphene-derived nanocomposites as additives. Over the years, the emergence of these graphene-derived nanocomposites has been employed as a paradigm to formulate water-based drilling fluids (WBDF). Herein, we provide an overview of nanocomposites evolution as engineered materials for enhanced rheological attributes in drilling operations. We also demonstrate the state-of-the-art potential graphene-derived nanocomposites for enriched rheology and other significant properties in WBDF. This review could conceivably deliver the inspiration and pathways to produce novel fabrication of nanocomposites and the production of other graphenaceous materials grafted nanocomposites for the variety of drilling fluids.

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A thermal model to describe kinetic dispersion in rubber nanocomposites: The effect of mixing time on dispersion

Cited by 23 publications

References 58 publications

Quantification of Dispersion for Weakly and Strongly Correlated Nanofillers in Polymer Nanocomposites

Quantification of Dispersion for Weakly and Strongly Correlated Nanofillers in Polymer Nanocomposites

Quantification of energy input required for chitin nanocrystal aggregate size reduction through ultrasound

Recent Advances of Graphene-Derived Nanocomposites in Water-Based Drilling Fluids

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