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Finizia Auriemma Giovanni Carlo Alfonso - Polymer Crystallization I

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Finizia Auriemma Giovanni Carlo Alfonso Polymer Crystallization I

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Springer International Publishing Switzerland 2016
Finizia Auriemma , Giovanni Carlo Alfonso and Claudio de Rosa (eds.) Polymer Crystallization I Advances in Polymer Science 10.1007/12_2016_349
Crystallization of Statistical Copolymers
Wenbing Hu 1 , Vincent B. F. Mathot 2, Rufina G. Alamo 3, Huanhuan Gao 1 and Xuejian Chen 3
(1)
Department of Polymer Science and Engineering, State Key Lab of Coordination Chemistry, School of Chemistry and Chemical Engineering, Nanjing University, 210023 Nanjing, P.R. China
(2)
SciTe B.V., Ridder Vosstraat 6, 6162 AX Geleen, The Netherlands
(3)
Department of Chemical and Biomedical Engineering, FAMU-FSU College of Engineering, 2525 Pottsdamer St., Tallahassee, FL 32310-6046, USA
Wenbing Hu
Email:
2.1
2.2
2.3
Abstract
Conventional polymers contain various chemical, geometrical, and stereo-optical sequence irregularities along the backbone chain, which can be treated as noncrystallizable comonomers in statistical copolymers. For statistical copolymers, the link between chemistry (copolymerization to characterize statistical copolymers) and physics (crystallization to determine structures and properties) has recently been enhanced. This review discusses how the crystallization behavior and resulting semicrystalline structure of statistical copolymers are affected by the various microstructure parameters of their comonomers, such as content, distribution along or even among polymer chains, and size (determining their inclusion in or exclusion from the crystallites). The discussion of crystallization is focused on its interplay with component segregation at three different length scales: monomer, monomer sequence, and macromolecule. The first two mainly occur in homogeneous copolymers, whereas the last one is only operative for heterogeneous copolymers. In addition, some unique phenomena such as strong memory effects and (cross)fractionation are discussed briefly.
Keywords
Component segregation Crystallization Heterogeneous Homogeneous Statistical copolymers
Introduction
Synthetic chemistry provides an economic way to produce polymers with the same monomer units and regular sequence structures, both of which favor crystallization. However, a polymer with fully crystalline structure has only hard and brittle properties, which limit its practical application. Introducing intramolecular defects, mainly on the backbone chain, is the conventional path for obtaining a useful semicrystalline product. Sequence irregularities on the backbone can be classified according to three sources in the detailed polymerization processes: chemical modifications, geometric isomers, and stereoisomers. For instance, various kinds of chemical modifications on the backbone have led to important new classes of commercial polyolefins, such as high impact polypropylene (HIPP), high density polyethylene (HDPE), low density polyethylene (LDPE), heterogeneous and homogeneous linear low density polyethylene (LLDPE), and very low density polyethylene (VLDPE).
Over the years, every part of the chain of knowledge for polymer crystallization (meaning the successive steps from polymerization via processing to properties) has been well studied, but the links between these parts are still weak or even absent []. For instance, studies of the connection between chain microstructure and crystallization behavior often stopped at the content of sequence defects and overlooked their detailed distribution, probably as a result of technical difficulties in obtaining a clear characterization of sequence distribution. However, defect distribution has a huge impact on the crystallization behavior of polymers, which is why determination of the distribution should have the full attention of researchers studying the crystallizability of polymers, especially because crystallization has appreciable effects on the end properties of the product. During crystallization, the sequence segments containing defects do not usually match the geometric or spatial requirements of compact packing in the crystalline ordered regions composed of crystallizable units. Thus, they behave like noncrystallizable entities and hinder the development of crystallinity by the polymer main chains. In this sense, they bring an intramolecular chemical confinement, being inclusion in the case of mobile defects or exclusion in the case of immobile defects in the crystalline phase, which depends on the size and rigidity of the defect-containing segments relative to the crystallizable units. The sequence defects, on the one hand, bring more chain connections between crystallites to improve the durability of plastic products, but, on the other hand, suppress crystallinity and in extreme cases give rise to an amorphous polymer such as atactic polystyrene or atactic poly(methyl methacrylate) (PMMA). Driven by strong industrial interests, along with modern developments in the use of well-designed catalysts, NMR characterization, and molecular simulations, research has stepped forward to examine how the detailed distribution of sequence defects affects crystallization behavior and the resulting semicrystalline structure of synthetic polymers.
Many synthetic polymers show sequence defect distributions that resemble some statistical features; therefore, their crystallization behaviors can be discussed by treating them as statistical copolymers produced by typical addition polymerization following a statistical mechanism. Statistical homogeneous and heterogeneous copolymers, although distinguished by their differing homogeneity of comonomer distribution among macromolecules, both exhibit an intramolecular multicomponent behavior. Upon crystallization, two levels of component microphase segregation (from small to large scale) may be of relevance: monomer segregation (according to different chemical species of the chain units) and monomer-sequence segregation (according to different consecutive lengths of monomer units along the chain). Heterogeneous copolymers have, in addition, an intermolecular multicomponent phase-separation behavior (caused by different comonomer contents and distributions between macromolecules), which could lead to macromolecular segregation. Various levels of liquidliquid phase separation are likely to occur prior to liquidsolid crystallization and, thus, change the course of the latter. Therefore, the interplay between crystallization and component segregation is an interesting issue [] and of importance in understanding better the complex phase transition behavior of statistical copolymers.
In this review, we survey current understanding of different levels of component segregation and the resulting crystallization phenomena of statistical copolymers. After a description of statistical copolymers, the discussion focuses on the occurrence of monomer segregation, monomer-sequence segregation, and macromolecular segregation during the process of crystallization of statistical copolymers. For each type of segregation, we discuss factors of chemical structure such as comonomer content, comonomer distribution, and molar mass, as well as the thermodynamic conditions (mainly temperature). More specifically, we compare various copolymers of different comonomer mobility in the crystalline phase, which represent different extents of intramolecular confinement in the crystallization of statistical copolymers. We hope that with this strategy, the complex crystallization behavior of statistical copolymers can clearly unfold in front of the readers eyes.
Chain Microstructure of Statistical Copolymers: The (Missing) Link to Crystallization Behavior
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