2001
DOI: 10.1002/1522-2640(200111)73:11<1447::aid-cite1447>3.0.co;2-2
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The Strain Hardening of Linear and Long-Chain Branched Polymer Melts

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Cited by 11 publications
(9 citation statements)
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“…The molecular stress function (MSF) model in Equation ( 4), which is well described in the literature [35,[39][40][41][42][43][44][45][46] represents a generalized form and further development of the model according to Doi and Edwards (DE) and is used to predict the transient elongational viscosity. The linear viscoelastic memory function m(t − t ′ ) and the time-dependent nonlinear viscoelastic deformation measure S MSF (t, t ′ ) are used to describe the current stress state σ(t) of a volume element at a certain time, taking the deformation history in the time period from time t ′ = −∞ (undeformed state) to the currently deformed state t ′ = t (observation time) into account.…”
Section: Molecular Stress Function Model Extension By Superpositionmentioning
confidence: 99%
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“…The molecular stress function (MSF) model in Equation ( 4), which is well described in the literature [35,[39][40][41][42][43][44][45][46] represents a generalized form and further development of the model according to Doi and Edwards (DE) and is used to predict the transient elongational viscosity. The linear viscoelastic memory function m(t − t ′ ) and the time-dependent nonlinear viscoelastic deformation measure S MSF (t, t ′ ) are used to describe the current stress state σ(t) of a volume element at a certain time, taking the deformation history in the time period from time t ′ = −∞ (undeformed state) to the currently deformed state t ′ = t (observation time) into account.…”
Section: Molecular Stress Function Model Extension By Superpositionmentioning
confidence: 99%
“…The time-dependent non-linear deformation measure of the MSF model S MSF (t, t ′ ) is described by Equation ( 6) according to [34,39,41], using the quadratic molecular stress function f 2 and the deformation measure S I A DE (t, t ′ ) according to DE.…”
Section: Molecular Stress Function Model Extension By Superpositionmentioning
confidence: 99%
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