Novel kinetic models for both Dumbbell-like and rigid-rod like
polymers are derived, based on the probability distribution function
$f(t, x, n, \dot n)$ for a polymer molecule positioned at $x$ to be
oriented along direction $n$ while embedded in a $\dot n$
environment created by inertial effects. It is shown that the
probability distribution function of the extended model, when
converging, will lead to well accepted kinetic models when inertial
effects are ignored such as the Doi models for rod like polymers,
and the Finitely Extensible Non-linear Elastic (FENE) models for
Dumbbell like polymers.
Citation: Pierre Degond, Hailiang Liu. Kinetic models for polymers with inertial effects[J]. Networks and Heterogeneous Media, 2009, 4(4): 625-647. doi: 10.3934/nhm.2009.4.625
Abstract
Novel kinetic models for both Dumbbell-like and rigid-rod like
polymers are derived, based on the probability distribution function
$f(t, x, n, \dot n)$ for a polymer molecule positioned at $x$ to be
oriented along direction $n$ while embedded in a $\dot n$
environment created by inertial effects. It is shown that the
probability distribution function of the extended model, when
converging, will lead to well accepted kinetic models when inertial
effects are ignored such as the Doi models for rod like polymers,
and the Finitely Extensible Non-linear Elastic (FENE) models for
Dumbbell like polymers.