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Related Concept Videos

Couette Flow01:22

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Couette flow represents the flow of fluid between two parallel plates, with one plate fixed and the other moving with a constant velocity. This configuration allows for a simplified analysis using the Navier-Stokes equations, which govern fluid motion under conditions of viscosity and incompressibility. For Couette flow, the assumptions include a steady, laminar, incompressible flow with a zero-pressure gradient in the flow direction. This flow type is beneficial for understanding shear-driven...
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The word polymer is derived from the Greek words “poly” which means “many” and “mer” which means “parts”. Polymers are long chains of molecules composed of repeating units of smaller molecules, known as monomers. They either occur naturally, such as DNA and proteins, or can be constructed synthetically, like plastics. They have varied structural characteristics, such as linear chains, branched chains, or complex networks, that contribute to the...
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Ionic Crystal Structures02:42

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Ionic crystals consist of two or more different kinds of ions that usually have different sizes. The packing of these ions into a crystal structure is more complex than the packing of metal atoms that are the same size.
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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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Crystal Field Theory
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Utilization of Plasmonic and Photonic Crystal Nanostructures for Enhanced Micro- and Nanoparticle Manipulation
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Macro-Micro Simulation for Polymer Crystallization in Couette Flow.

Chunlei Ruan1, Kunfeng Liang2, Enli Liu3

  • 1School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang 471023, China. ruanchunlei622@mail.nwpu.edu.cn.

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|April 11, 2019
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Summary
This summary is machine-generated.

This study introduces a new multi-scale model and algorithm to simulate polymer crystallization, considering both thermal and flow effects. It accurately predicts crystal morphology and kinetics, advancing manufacturing process understanding.

Keywords:
Monte Carlo methodcrystal morphologyflow-induced crystallizationmacro-micro simulation

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Area of Science:

  • Polymer Science
  • Materials Science
  • Chemical Engineering

Background:

  • Polymer crystallization involves coexisting quiescent and flow-induced processes.
  • Existing models often focus on single scales, neglecting coupled thermal, flow, and microstructural interactions.
  • Previous multi-scale models overlooked flow effects, limiting their applicability.

Purpose of the Study:

  • To develop a coupled macro-micro model and algorithm for polymer crystallization.
  • To incorporate both thermal/mass transfer and flow effects into crystallization simulations.
  • To accurately predict crystal morphology and kinetics under processing conditions.

Main Methods:

  • A hybrid finite volume/Monte Carlo method was developed.
  • The macroscopic level models mass and heat transfer using finite volume.
  • The microscopic level models nucleation and growth using Monte Carlo.

Main Results:

  • The model successfully simulates polymer crystallization in Couette flow.
  • It captures the interplay between macroscopic conditions and microscopic crystal structures.
  • The study analyzes the impact of shear rate, time, and temperature on morphology and kinetics.

Conclusions:

  • The developed macro-micro approach provides a comprehensive tool for polymer crystallization simulation.
  • This method accounts for crucial flow and thermal effects, unlike previous models.
  • It offers insights into optimizing manufacturing processes by controlling crystal formation.