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相关概念视频

Precipitate Formation and Particle Size Control01:16

Precipitate Formation and Particle Size Control

In precipitation gravimetry, the precipitating agent should react specifically or selectively with the analyte. While a specific reagent reacts with the analyte alone, a selective reagent can react with a limited number of chemical species.
The obtained precipitate should be either a pure substance of known composition or easily converted to one by a simple process, such as ignition or drying. In addition, the precipitate should be insoluble and easily filterable. In general, filterability...
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

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相关实验视频

Updated: Jun 19, 2026

Controlled Synthesis and Fluorescence Tracking of Highly Uniform PolyN-isopropylacrylamide Microgels
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Controlled Synthesis and Fluorescence Tracking of Highly Uniform PolyN-isopropylacrylamide Microgels

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基于离散元件方法进行数值模拟的非球形聚合物粒子校准程序的开发.

Joshua García-Montagut1, Rubén Paz1, Mario Monzón1

  • 1Mechanical Engineering Department, Edificio de Ingenierías, Campus de Tafira Baja, Universidad de Las Palmas de Gran Canaria, 35017 Las Palmas, Spain.

Polymers
|October 28, 2025
PubMed
概括

本研究提出了使用数值模拟和遗传算法对低密度聚乙烯颗粒的高效校准方法. 优化的模型准确地预测了材料特性和粒子相互作用,降低了计算成本.

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.
  • 计算力学 计算力学 计算力学

背景情况:

  • 塑料行业需要优化新材料的制造工艺.
  • 数字方法,特别是离散元素方法 (DEM),对于模拟颗粒物材料至关重要.
  • 对DEM参数的校准是必不可少的,但在计算上昂贵.

研究的目的:

  • 为低密度聚乙烯 (LDPE) 颗粒开发和介绍一种通用,具有成本效益的校准方法.
  • 准确确定DEM模拟的材料特性和粒子相互作用参数.
  • 整合加快程序以实现高效的校准.

主要方法:

  • 使用离散元素方法 (DEM) 进行颗粒物材料模拟.
  • 集成加速程序以降低计算成本.
  • 采用基因算法进行基于实验数据的参数校准.
  • 进行了四次实验测试和相应的模拟.

主要成果:

  • 校准的固体密度,波桑比率,摩擦因子 (静态,滚动,恢复) 和接触模型变量 (缓冲,刚性,能量密度).
  • 在模拟和实验结果之间,获得了低于2%的平均绝对百分比误差 (MAPE).
关键词:
离散元素方法的离散元素方法.遗传算法 遗传算法材料的校准材料的校准.聚合物粉末校准的方法

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  • 在85次代后成功校准输入参数.

    • 结论:

    • 开发的校准方法对LDPE颗粒有效,显著降低了计算和实验成本.
    • 精确校准DEM参数对于可靠模拟塑料制造工艺至关重要.
    • 该研究表明了将数值方法与优化算法集成为材料工艺优化的潜力.