2015
DOI: 10.1016/j.compositesb.2015.05.021
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Study of the reinforcing mechanism and strain sensing in a carbon black filled elastomer

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Cited by 40 publications
(34 citation statements)
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“…This is due to the fact that inter-aggregate distances become smaller with greater filler loading, and therefore the probability of the formation of a filler network increases. Similar observations have been reported by Georgousis et al [44], Bokobza et al [45], and Fu et al [46] for elastomer composites filled with carbon black, carbon nanotubes, and silica, respectively. Importantly, interactions between the nitrile rubber and the CNF surface were improved markedly by the silane coupling agents, as shown in Figure 13 and Table 2.…”
Section: Payne Effectsupporting
confidence: 88%
“…This is due to the fact that inter-aggregate distances become smaller with greater filler loading, and therefore the probability of the formation of a filler network increases. Similar observations have been reported by Georgousis et al [44], Bokobza et al [45], and Fu et al [46] for elastomer composites filled with carbon black, carbon nanotubes, and silica, respectively. Importantly, interactions between the nitrile rubber and the CNF surface were improved markedly by the silane coupling agents, as shown in Figure 13 and Table 2.…”
Section: Payne Effectsupporting
confidence: 88%
“…The electrical resistance (ER) measurement method has recently become an active nondestructive evaluation method for damage detection in composites [1][2][3]. It is possible with the ER method to predict damage and strain change in conductive composite materials [3][4][5].…”
Section: Introductionmentioning
confidence: 99%
“…[1][2][3] Carbon black is a kind of reinforcing filler with excellent comprehensive properties, which can greatly improve the dynamic and mechanical properties of elastomer. [4][5][6][7] Therefore, carbon black has been widely used, especially in the tire industry. However, the production of carbon black depends on petroleum resources, and a large number of health-hazardous pollutants are emitted in the production process.…”
Section: Introductionmentioning
confidence: 99%