Analytical
polymer separation techniques, like CRYSTAF (crystallization
analysis fractionation) and TREF (temperature rising elution fractionation),
play a crucial role in gaining insight into the interrelation between
molecular architecture and properties. Often polymer samples are semicrystalline,
as it consists of amorphous regions which exhibit a liquid-like structure,
and ordered crystallized structures called crystallites. Additionally,
polymers exhibit a certain degree of short-chain branching, and they
are polydisperse with respect to molecular weight and chemical composition.
To explain the theoretical background of common polymer separation
techniques, a fair prediction of solid–liquid equilibria (SLE)
of polymer solvent systems is required. By application of Lattice
Cluster Theory (LCT), developed by Freed and co-workers, the molecular
architecture can be considered. Recently, LCT was applied to calculate
the SLE of binary semicrystalline, high-polymer solvent mixtures having
an arbitrary molecular architecture of both polymer and solvent, in
which the polymer is considered to be monodisperse. Besides influences
of degree of polymer crystallinity, nucleation entropy, and degree
of branching, in this contribution the impact of polymer polydispersity
on the SLE of high-polymer solvent mixtures is considered. This is
realized by application of the LCT-based theory for predicting the
SLE of discrete ternary high-polymer solvent mixtures made of two
polymers and one solvent. Effects of semicrystallinity and molecular
architecture of the respective components are studied for ternary
systems.