A Nonequilibrium Model for Particle Networking/Jamming and Time-Dependent Dynamic Rheology of Filled Polymers

We describe an approach for modeling the filler network formation kinetics of particle-reinforced rubbery polymers—commonly called filler flocculation—that was developed by employing parallels between deformation effects in jammed particle systems and the influence of temperature...

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Main Authors: Christopher G. Robertson, Sankar Raman Vaikuntam, Gert Heinrich
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Polymers
Subjects:
Online Access:https://www.mdpi.com/2073-4360/12/1/190
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spelling doaj-4aa1fe64812741868e3dee5338c7fe122020-11-25T03:35:38ZengMDPI AGPolymers2073-43602020-01-0112119010.3390/polym12010190polym12010190A Nonequilibrium Model for Particle Networking/Jamming and Time-Dependent Dynamic Rheology of Filled PolymersChristopher G. Robertson0Sankar Raman Vaikuntam1Gert Heinrich2Endurica LLC, Findlay, OH 45840, USALeibniz-Institut für Polymerforschung Dresden e.V., 01069 Dresden, GermanyLeibniz-Institut für Polymerforschung Dresden e.V., 01069 Dresden, GermanyWe describe an approach for modeling the filler network formation kinetics of particle-reinforced rubbery polymers—commonly called filler flocculation—that was developed by employing parallels between deformation effects in jammed particle systems and the influence of temperature on glass-forming materials. Experimental dynamic viscosity results were obtained concerning the strain-induced particle network breakdown and subsequent time-dependent reformation behavior for uncross-linked elastomers reinforced with carbon black and silica nanoparticles. Using a relaxation time function that depends on both actual dynamic strain amplitude and fictive (structural) strain, the model effectively represented the experimental data for three different levels of dynamic strain down-jump with a single set of parameters. This fictive strain model for filler networking is analogous to the established Tool−Narayanaswamy−Moynihan model for structural relaxation (physical aging) of nonequilibrium glasses. Compared to carbon black, precipitated silica particles without silane surface modification exhibited a greater overall extent of filler networking and showed more self-limiting behavior in terms of network formation kinetics in filled ethylene-propylene-diene rubber (EPDM). The EPDM compounds with silica or carbon black filler were stable during the dynamic shearing and recovery experiments at 160 °C, whereas irreversible dynamic modulus increases were noted when the polymer matrix was styrene-butadiene rubber (SBR), presumably due to branching/cross-linking of SBR in the rheometer. Care must be taken when measuring and interpreting the time-dependent filler networking in unsaturated elastomers at high temperatures.https://www.mdpi.com/2073-4360/12/1/190polymer nanocompositesfilled rubberparticle networkfiller flocculationfictive strainstructural relaxationtool–narayanaswamy–moynihan modeljamming
collection DOAJ
language English
format Article
sources DOAJ
author Christopher G. Robertson
Sankar Raman Vaikuntam
Gert Heinrich
spellingShingle Christopher G. Robertson
Sankar Raman Vaikuntam
Gert Heinrich
A Nonequilibrium Model for Particle Networking/Jamming and Time-Dependent Dynamic Rheology of Filled Polymers
Polymers
polymer nanocomposites
filled rubber
particle network
filler flocculation
fictive strain
structural relaxation
tool–narayanaswamy–moynihan model
jamming
author_facet Christopher G. Robertson
Sankar Raman Vaikuntam
Gert Heinrich
author_sort Christopher G. Robertson
title A Nonequilibrium Model for Particle Networking/Jamming and Time-Dependent Dynamic Rheology of Filled Polymers
title_short A Nonequilibrium Model for Particle Networking/Jamming and Time-Dependent Dynamic Rheology of Filled Polymers
title_full A Nonequilibrium Model for Particle Networking/Jamming and Time-Dependent Dynamic Rheology of Filled Polymers
title_fullStr A Nonequilibrium Model for Particle Networking/Jamming and Time-Dependent Dynamic Rheology of Filled Polymers
title_full_unstemmed A Nonequilibrium Model for Particle Networking/Jamming and Time-Dependent Dynamic Rheology of Filled Polymers
title_sort nonequilibrium model for particle networking/jamming and time-dependent dynamic rheology of filled polymers
publisher MDPI AG
series Polymers
issn 2073-4360
publishDate 2020-01-01
description We describe an approach for modeling the filler network formation kinetics of particle-reinforced rubbery polymers—commonly called filler flocculation—that was developed by employing parallels between deformation effects in jammed particle systems and the influence of temperature on glass-forming materials. Experimental dynamic viscosity results were obtained concerning the strain-induced particle network breakdown and subsequent time-dependent reformation behavior for uncross-linked elastomers reinforced with carbon black and silica nanoparticles. Using a relaxation time function that depends on both actual dynamic strain amplitude and fictive (structural) strain, the model effectively represented the experimental data for three different levels of dynamic strain down-jump with a single set of parameters. This fictive strain model for filler networking is analogous to the established Tool−Narayanaswamy−Moynihan model for structural relaxation (physical aging) of nonequilibrium glasses. Compared to carbon black, precipitated silica particles without silane surface modification exhibited a greater overall extent of filler networking and showed more self-limiting behavior in terms of network formation kinetics in filled ethylene-propylene-diene rubber (EPDM). The EPDM compounds with silica or carbon black filler were stable during the dynamic shearing and recovery experiments at 160 °C, whereas irreversible dynamic modulus increases were noted when the polymer matrix was styrene-butadiene rubber (SBR), presumably due to branching/cross-linking of SBR in the rheometer. Care must be taken when measuring and interpreting the time-dependent filler networking in unsaturated elastomers at high temperatures.
topic polymer nanocomposites
filled rubber
particle network
filler flocculation
fictive strain
structural relaxation
tool–narayanaswamy–moynihan model
jamming
url https://www.mdpi.com/2073-4360/12/1/190
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