Physics of Polymer Networks
DOI: 10.1007/bfb0115486
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Segmental orientation in filled networks

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Cited by 5 publications
(7 citation statements)
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“…No model in the literature for the NMR line shape from strained networks predicts this asymmetry. A similar situation was already stated by Gronski et al 1 They observed that increasing the filler content of cis-1,4-poly(butadiene) network at constant deformation results in an overall broadening of the doublet line shape at nearly constant splitting and an increase in the asymmetry of the outer signal wings. To explain the above observations, they considered the filled network as consisting of two parts.…”
Section: Introductionsupporting
confidence: 85%
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“…No model in the literature for the NMR line shape from strained networks predicts this asymmetry. A similar situation was already stated by Gronski et al 1 They observed that increasing the filler content of cis-1,4-poly(butadiene) network at constant deformation results in an overall broadening of the doublet line shape at nearly constant splitting and an increase in the asymmetry of the outer signal wings. To explain the above observations, they considered the filled network as consisting of two parts.…”
Section: Introductionsupporting
confidence: 85%
“…The aim of this paper is to explain the asymmetric NMR spectra observed from deformed carbon black filled poly(butadiene) networks. 1 To illustrate this asymmetry, we show in Figure 1 a comparison between a NMR spectrum from a filled and unfilled strained network. We consider the effect of the susceptibility of the carbon black filler on the local field of polymer chains that are in the vicinity of these particles.…”
Section: Introductionmentioning
confidence: 99%
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“…Considering deuteron splitting and line-shape measurements on carbon-black-filled poly(butadiene), results from our group do indicate a filler effect on molecular order (H. Luo et al, unpubl. ), while in previous work, Gronski and coworkers [38] did not observe an appreciable effect in the same type of systems. It remains to be investigated in how far such serious discrepancies may be explainable, e.g., in terms of different sample preparations or varying degrees of cross-linking.…”
Section: Dq Buildup (Network Chains)mentioning
confidence: 69%