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相关概念视频

Types of Step-Growth Polymers: Polyesters01:20

Types of Step-Growth Polymers: Polyesters

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The introduction of polyesters has brought major development to the textile industry. The wrinkle-free behavior of polyester blends has eliminated the need for starching and ironing clothes.
Polyesters are commonly prepared from terephthalic acid and ethylene glycol; the crude product is known as poly(ethylene terephthalate) or PET. However, polyesters are synthesized industrially by transesterification of dimethyl terephthalate with ethylene glycol at 150 °C. The two reactants and the...
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Olefin Metathesis Polymerization: Acyclic Diene Metathesis (ADMET)00:53

Olefin Metathesis Polymerization: Acyclic Diene Metathesis (ADMET)

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Acyclic diene metathesis polymerization or ADMET polymerization involves cross-metathesis of terminal dienes, such as 1,8-nonadiene, to give linear unsaturated polymer and ethylene. As ADMET is a reversible process, the formed ethylene gas must be removed from the reaction mixture to complete the polymerization process.
Similar to cross-metathesis, ADMET also involves the formation of metallacyclobutane intermediate by [2+2] cycloaddition of one of the double bonds of a terminal diene with...
1.9K

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相关实验视频

Updated: Jun 23, 2025

Reliable Mechanochemistry: Protocols for Reproducible Outcomes of Neat and Liquid Assisted Ball-mill Grinding Experiments
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在球磨机反应堆中模拟PET的机械化学解聚合,使用DEM模拟.

Elisavet Anglou1, Yuchen Chang1, William Bradley1

  • 1School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta , Georgia 30332, United States.

ACS sustainable chemistry & engineering
|June 21, 2024
PubMed
概括
此摘要是机器生成的。

这项研究开发了一个数学模型,将离散元素方法 (DEM) 模拟和实验联系起来,以优化塑料回收. 该模型准确地预测了聚乙烯二甲脱聚合物的单体产量,从而实现了高效的化学回收.

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Synthesis of Programmable Main-chain Liquid-crystalline Elastomers Using a Two-stage Thiol-acrylate Reaction
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相关实验视频

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Synthesis of Programmable Main-chain Liquid-crystalline Elastomers Using a Two-stage Thiol-acrylate Reaction
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科学领域:

  • 材料科学 材料科学 材料科学
  • 化学工程是化学工程的重要组成部分.
  • 计算机建模 计算建模

背景情况:

  • 消费者塑料垃圾带来了重大的环境挑战.
  • 有效和可持续的回收利用方法对于废物管理至关重要.
  • 机械化学去聚合提供了一种无溶剂的聚合物回收方法.

研究的目的:

  • 开发一个基于物理的数学模型,用于在球磨机中的机械化学脱聚合.
  • 为了优化操作条件,以便高效地将聚合物转化为单体.
  • 建立一个预测工具,用于塑料回收中的单体产量.

主要方法:

  • 使用实验视频数据和计算机视觉校准和验证一个离散元素方法 (DEM) 模型.
  • 系统地研究了球磨机运行参数对输入能源的影响.
  • 开发了DEM模拟与聚乙烯二甲 (PET) 的实验单体产量之间的线性相关性.
  • 训练了一种减少顺序模型,以快速预测单体产量.

主要成果:

  • 在振动磨床容器条件和供应的总能量之间发现了直接关系.
  • 在DEM模拟和PET脱聚合的实验单体产量之间建立了线性相关性.
  • 减少顺序模型可以快速估计单体产量,降低计算成本.

结论:

  • 开发的数学模型准确地预测了机械化学脱聚合的单体产量.
  • 这种方法有助于优化可持续塑料回收的操作条件.
  • 这项研究为高效,无溶剂的聚合物转化为单体提供了一条途径.