2022
DOI: 10.1002/mame.202200514
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Carbon Nanotubes Networking in Styrene‐Butadiene Rubber: A Dynamic Mechanical and Dielectric Spectroscopy Study

Abstract: The study of the reinforcement network in elastomer compounds is one of the most relevant issues for the application of these materials because their properties are strongly dependent on the obtained morphology. To this regard, the viscoelastic and dielectric behavior of vulcanized styrene butadiene rubber (SBR) reinforced with different amounts of carbon nanotubes (CNT) have been investigated and compared with the vulcanized unfilled SBR and the vulcanized SBR samples reinforced with a conventional amount of … Show more

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Cited by 2 publications
(8 citation statements)
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“…The material studied here consists of a "doped" styrene-butadiene rubber (SBR rubber) [25]. In particular, it is considered a rubber filled with carbon nanotubes (CNT) at different concentrations with 40 phr carbon black (CB).…”
Section: Resultsmentioning
confidence: 99%
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“…The material studied here consists of a "doped" styrene-butadiene rubber (SBR rubber) [25]. In particular, it is considered a rubber filled with carbon nanotubes (CNT) at different concentrations with 40 phr carbon black (CB).…”
Section: Resultsmentioning
confidence: 99%
“…The relative CNT concentration (C) is reported as phr-parts per hundred rubber (phrCNT). Their viscoelasticity was measured through a series of DMA experiments evaluating the complex modulus E via a series of tensile strength tests in the following parts: the shear E ′′ , the loss E ′ , and the relative loss angle δ (see [25] for details).…”
Section: Resultsmentioning
confidence: 99%
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“…Starting from these considerations, we have considered to give, in the present work, a new contribution to the TTS investigation by considering the dynamic mechanical analysis (DMA) to characterize the viscoelastic behavior of cross-linked Styrene-Butadiene rubbers (SBR) filled with Carbon Nanotubes (CNT) at different concentration, in the gel phase, and with 40 phr Carbon Black (CB). The data we analyze here have been previously published by some of the authors in cooperation with the National Institute of Industries and Technology (INTI, Argentina) [23]. The reader is referred to [23] for full experimental details.…”
Section: Introductionmentioning
confidence: 99%