Role of Polyradicals in Predicting Chain Length Distribution and Gelation for Radical Polymerization with Transfer to Polymer

2004 ◽  
Vol 37 (26) ◽  
pp. 10155-10164 ◽  
Author(s):  
Piet D. Iedema ◽  
Huub C. J. Hoefsloot
Keyword(s):  
Radical Polymerization ◽  
Chain Length ◽  
Length Distribution ◽  
Chain Length Distribution

scholarly journals Method of Moments Applied to Most-Likely High-Temperature Free-Radical Polymerization Reactions

Processes ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 656 ◽  
Author(s):  
Hossein Riazi ◽  
Ahmad Arabi Shamsabadi ◽  
Michael Grady ◽  
Andrew Rappe ◽  
Masoud Soroush
Keyword(s):  
High Temperature ◽  
Free Radical ◽  
Radical Polymerization ◽  
Chain Length ◽  
Method Of Moments ◽  
Length Distribution ◽  
Free Radical Polymerization ◽  
Polymer Chains ◽  
Rate Equations ◽  
Chain Length Distribution

Many widely-used polymers are made via free-radical polymerization. Mathematical models of polymerization reactors have many applications such as reactor design, operation, and intensification. The method of moments has been utilized extensively for many decades to derive rate equations needed to predict polymer bulk properties. In this article, for a comprehensive list consisting of more than 40 different reactions that are most likely to occur in high-temperature free-radical homopolymerization, moment rate equations are derived methodically. Three types of radicals—secondary radicals, tertiary radicals formed through backbiting reactions, and tertiary radicals produced by intermolecular chain transfer to polymer reactions—are accounted for. The former tertiary radicals generate short-chain branches, while the latter ones produce long-chain branches. In addition, two types of dead polymer chains, saturated and unsaturated, are considered. Using a step-by-step approach based on the method of moments, this article guides the reader to determine the contributions of each reaction to the production or consumption of each species as well as to the zeroth, first and second moments of chain-length distributions of live and dead polymer chains, in order to derive the overall rate equation for each species, and to derive the rate equations for the leading moments of different chain-length distributions. The closure problems that arise are addressed by assuming chain-length distribution models. As a case study, β-scission and backbiting rate coefficients of methyl acrylate are estimated using the model, and the model is then applied to batch spontaneous thermal polymerization to predict polymer average molecular weights and monomer conversion. These predictions are compared with experimental measurements.

scholarly journals The role of ceramide chain length distribution on the barrier properties of the skin lipid membranes

2014 ◽  
Vol 1838 (10) ◽  
pp. 2473-2483 ◽  
Author(s):  
E.H. Mojumdar ◽  
Z. Kariman ◽  
L. van Kerckhove ◽  
G.S. Gooris ◽  
J.A. Bouwstra
Keyword(s):  
Chain Length ◽  
Lipid Membranes ◽  
Length Distribution ◽  
Barrier Properties ◽  
Skin Lipid ◽  
Chain Length Distribution

scholarly journals Fundamentals of reversible addition–fragmentation chain transfer (RAFT)

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Catherine L. Moad ◽  
Graeme Moad
Keyword(s):  
Radical Polymerization ◽  
Chain Length ◽  
Molar Mass ◽  
Chain Transfer ◽  
Raft Polymerization ◽  
Length Distribution ◽  
Chain Length Distribution ◽  
Reversible Addition ◽  
Raft Agent ◽  
End Group

Abstract Radical polymerization is transformed into what is known as reversible addition–fragmentation chain transfer (RAFT) polymerization by the addition of a RAFT agent. RAFT polymerization enables the preparation of polymers with predictable molar mass, narrow chain length distribution, high end-group integrity and provides the ability to construct macromolecules with the intricate architectures and composition demanded by modern applications in medicine, electronics and nanotechnology. This paper provides a background to understanding the mechanism of RAFT polymerization and how this technique has evolved.

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