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Step-Growth Polymerization: Overview

Step-Growth Polymerization: Overview

Step-growth or condensation polymerization is a stepwise reaction of bi or multifunctional monomers to form long-chain polymers. As all the monomers are reactive, most of the monomers are consumed at the early stages of the reaction to form small chains of reactive oligomers, which then combine to form long polymer chains in the late stages. Hence, the reaction has to proceed for a long time to achieve high molecular weight polymers.
Many natural and synthetic polymers are produced by...

Ziegler–Natta Chain-Growth Polymerization: Overview

Ziegler–Natta Chain-Growth Polymerization: Overview

Ziegler–Natta polymerization is another form of addition or chain‐growth polymerization used for synthesizing linear polymers over branched polymers. The catalyst used for polymerization is the Ziegler–Natta catalyst, named after Karl Ziegler and Giulio Natta, who developed it in 1953. This catalyst is an organometallic complex of titanium tetrachloride and triethyl aluminum, with the active form of the catalyst being an alkyl titanium compound. Using the Ziegler–Natta catalyst, high molecular...

Cationic Chain-Growth Polymerization: Mechanism

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The cationic polymerization mechanism consists of three steps: initiation, propagation, and termination. In the initiation step of the polymerization process, the π bond of a monomer gets protonated by the Lewis acid catalyst, which is formed from boron trifluoride and water. The protonation of the π bond generates a carbocation stabilized by the electron‐donating group. In the propagation step, the π bond of the second monomer acts as a nucleophile and attacks the generated carbocation,...

Anionic Chain-Growth Polymerization: Mechanism

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The mechanism for anionic chain-growth polymerization involves initiation, propagation, and termination steps. In the initiation step, a nucleophilic anion, such as butyl lithium, initiates the polymerization process by attacking the π bond of the vinylic monomer. As a result, a carbanion, stabilized by the electron‐withdrawing group, is generated. The resulting carbanion acts as a Michael donor in the propagation step and attacks the second vinylic monomer, which acts as a Michael acceptor.

Molecular Weight of Step-Growth Polymers

Molecular Weight of Step-Growth Polymers

Step growth polymerization involves bi or multifunctional monomers. Bifunctional monomers react to form linear step growth polymers, whereas multifunctional monomers react to form non-linear or branched polymers.
As the step-growth polymerization involves step-wise condensation of monomers, the molecular weight also builds up eventually. Consequently, high molecular weight polymers are obtained at the late stages of the polymerization, where 99% of monomers have been consumed.
The extent of the...

Radical Chain-Growth Polymerization: Mechanism

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The radical chain-growth polymerization mechanism consists of three steps: initiation, propagation, and termination of polymerization. The polymerization initiates when a free radical generated from the radical initiator adds to the unsaturated bond in the monomer. The unpaired electron of the free radical and one π electron in the unsaturated bond creates a σ bond between the free radical and the monomer. As a result, the other π electron in the unsaturated bond converts this species into the...

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A fast algorithm for simulating flow-induced nucleation in polymers.

Kenny Jolley¹, Richard S Graham

¹School of Mathematical Sciences, University of Nottingham, Nottingham NG7 2RD, United Kingdom. kj14@alumni.le.ac.uk

The Journal of Chemical Physics

|May 3, 2011

Summary

This summary is machine-generated.

This study introduces a fast computer simulation algorithm for high-dimensional barrier crossing, significantly reducing computational time for nucleation simulations. The new method efficiently models critical regions, making complex simulations more accessible.

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Area of Science:

Computational physics
Polymer science
Chemical kinetics

Background:

High-dimensional barrier crossing simulations are computationally intensive.
Existing methods like kinetic Monte Carlo (kMC) can be slow for complex systems.
Nucleation processes, particularly flow-induced nucleation in polymers, require efficient simulation techniques.

Purpose of the Study:

To develop a fast computer simulation algorithm for high-dimensional barrier crossing.
To adapt an existing barrier crossing algorithm for nucleation simulations.
To reduce the computational time required for kinetic Monte Carlo simulations of high barrier crossing events.

Main Methods:

Developed a novel algorithm simulating only the critical region around the nucleation barrier top.
Integrated the algorithm with the kinetic Monte Carlo (kMC) routine.
Applied the method to the Graham and Olmsted (GO) model for flow-induced polymer nucleation.

Main Results:

The algorithm significantly decreases computer time for kMC simulations of high barrier crossing.
The method requires minimal additional coding for implementation.
Demonstrated applicability to any barrier crossing problem solvable with kMC.

Conclusions:

The fast nucleation algorithm offers a substantial speedup for complex simulations.
The algorithm's simplicity and efficiency make it a valuable tool for computational studies.
This advancement facilitates more extensive simulations of nucleation phenomena in polymers and other systems.