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Related Concept Videos

Polymer Classification: Crystallinity01:21

Polymer Classification: Crystallinity

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Unlike ionic or small covalent molecules, polymers do not form crystalline solids due to the diffusion limitations of their long-chain structures. However, polymers contain microscopic crystalline domains separated by amorphous domains.
Crystalline domains are the regions where polymer chains are aligned in an orderly manner and held together in proximity by intermolecular forces. For example, chains in the crystalline domains of polyethylene and nylon are bound together by van der Waals...
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Crystal Growth: Principles of Crystallization01:25

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Crystallization is a phase transformation process in which crystals are precipitated from a supersaturated solution or formed from other sources. During crystallization, atoms or molecules arrange themselves into a well-defined, rigid crystal lattice to minimize energy.
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Recrystallization: Solid–Solution Equilibria01:10

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Recrystallization is a purification technique used to separate impurities from solid compounds. In this technique, no chemical reactions occur. Instead, it exploits physical properties only, specifically, the solubility differences between the desired compound and impurities, either at a single temperature or at different temperatures, and under other selected conditions. The solid-solution equilibrium (solubility equilibrium) of each component in the solution represents a binary phase...
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Step-Growth Polymerization: Overview01:03

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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...
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Molecular Weight of Step-Growth Polymers01:08

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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.
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The extent of the...
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Polymer Classification: Stereospecificity01:26

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Polymerization generates chiral centers along the entire backbone of a polymer chain. Accordingly, the stereochemistry of the substituent group has a significant effect on polymer properties. Polymers formed from monosubstituted alkene monomers feature chiral carbons at every alternate position in the polymer backbone. Relative to the predominant orientation of substituents at the adjacent chiral carbons, the polymer can exist in three different configurations: isotactic, syndiotactic, and...
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Modelling flow-induced crystallisation in polymers.

Richard S Graham1

  • 1School of Mathematical Sciences, University of Nottingham, Nottingham NG7 2RD, UK. Richard.Graham@nottingham.ac.uk.

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|February 21, 2014
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Summary
This summary is machine-generated.

Flow-induced crystallisation (FIC) in polymers is crucial for material properties. This study explores multiscale modeling to simulate FIC, bridging detailed simulations with polymer processing approaches.

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Area of Science:

  • Polymer Science
  • Materials Science
  • Chemical Engineering

Background:

  • Flow significantly impacts polymer crystallization kinetics and morphology.
  • Flow-induced crystallization (FIC) is a key non-equilibrium phase transition in polymers, essential for material properties.
  • Simulating FIC is challenging due to wide length and timescales, particularly for long chains at low undercooling.

Purpose of the Study:

  • To discuss multiscale modeling techniques for simulating polymer FIC.
  • To review recent efforts in connecting different levels of coarse-graining in polymer modeling.
  • To bridge insights from detailed simulations to tractable approaches for polymer processing.

Main Methods:

  • Review of multiscale modeling techniques.
  • Discussion of approaches connecting different levels of coarse-graining.
  • Analysis of simulation techniques for polymer flow-induced crystallization.

Main Results:

  • Multiscale modeling offers a pathway to simulate complex FIC phenomena.
  • Connecting coarse-graining levels is crucial for transferring simulation insights.
  • Tractable approaches for polymer processing can benefit from detailed simulation data.

Conclusions:

  • Multiscale modeling is vital for understanding and predicting polymer FIC.
  • Bridging simulation scales is key to advancing polymer processing simulations.
  • Future work holds exciting prospects for enhanced polymer material design and manufacturing.