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Polymer Testing
Article . 2014 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Investigation of the swelling response and quantitative prediction for hydrogenated nitrile rubber

Authors: Guangyong Liu; Martin Hoch; Claus Wrana; Kevin Kulbaba; Susu Liu; Weina Bi; Shugao Zhao;

Investigation of the swelling response and quantitative prediction for hydrogenated nitrile rubber

Abstract

Abstract A much more elegant method using three groups of solvent mixtures was employed to determine the Hansen three-dimensional solubility parameters (HSPs) of hydrogenated nitrile rubber (HNBR). The HSPs obtained by this way are comparable with previous work. The Flory-Rehner relationship was used to investigate the effects of the crosslink density and the molar volume of solvent on the swelling response of the HNBR matrix. Both of these factors have a significant effect on the swelling volume in high swelling conditions (small Ra and Mc values) while the swelling curves show the characteristic reversed S-shape. The swelling volumes of HNBR (Therban 2568) in solvents and solvent mixtures have been calculated quantitatively by the Flory-Rehner relationship and correlated with the energy difference (Ra). The calculated swelling volumes decrease with increasing Ra values and also show the characteristic reversed S-shape, which correlate well with the experimental values. Therefore, it is expected that the swelling behavior of HNBR based vulcanizates in mixed fluids, taking bio-fuels and bio-based service fluids as examples, may now be predicted quantitatively.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Top 10%
Top 10%
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