相关实验视频

Updated: Jan 12, 2026

Forming Micro-and Nano-Plastics from Agricultural Plastic Films for Employment in Fundamental Research Studies

Forming Micro-and Nano-Plastics from Agricultural Plastic Films for Employment in Fundamental Research Studies

Published on: July 27, 2022

离散元素方法研究双螺丝湿颗粒机中的颗粒大小和形状

Yu Wang¹, Kiran Iyer², Amir Esteghamatian³

¹Department of Chemical and Biomolecular Engineering, National University of Singapore, 117585 Singapore.

International journal of pharmaceutics

|October 30, 2025

概括

本研究使用离散元件方法 (DEM) 模拟来研究双螺杆湿颗粒器 (TSWG) 中的颗粒化. DEM准确地预测了颗粒形成,颗粒大小分布和面积比,为TSWG颗粒化机制提供了洞察力.

科学领域:

化学工程是化学工程的重要组成部分.
材料科学材料科学材料科学
计算科学计算科学

背景情况:

颗粒化是制药和化学工业中的一个关键过程.
了解双螺杆湿颗粒器 (TSWG) 中的颗粒化机制对于过程优化至关重要.
数字模拟为研究复杂的颗粒动态提供了强大的工具.

研究的目的:

用离散元件方法 (DEM) 在TSWG中数量调查粒子颗粒化行为.
在不同的液体/固体 (L/S) 比率下分析颗粒尺寸分布 (PSD) 和尺寸比.
了解颗粒形成机制和TSWG区间的功能.

主要方法:

使用离散元件方法 (DEM) 模拟来建模颗粒.
基于密度的应用与噪声空间聚类 (DBSCAN) 算法用于粒子分类.
一个毛细管液体桥梁模型模拟了粒子凝聚力.
统计方法确定模拟稳定状态.

主要成果:

DEM模拟显示了与实验数据 (RMSE~3-5卷%) 的良好的定量一致.
该模型准确地预测了低RMSE (~0.03-0.09) 的平均面积比 (AR ~0.65).
计算结果复制了定性观测,如早期的双模式和出口峰值分裂.

结论:

DEM模拟为TSWG颗粒化机制提供了宝贵的见解.
该研究表明了DEM在预测颗粒化行为和优化TSWG设计方面的潜力.
实现了粒子相互作用和颗粒演变的精确模拟.

关键词:

离散元件方法的离散元素方法.颗粒器颗粒器是什么?数字模拟数字模拟粒子聚合的聚合方式颗粒大小分布颗粒大小分布

更多相关视频

Analysis and Specification of Starch Granule Size Distributions

Analysis and Specification of Starch Granule Size Distributions

Published on: March 4, 2021

Twin-Screw Extrusion Process to Produce Renewable Fiberboards

Twin-Screw Extrusion Process to Produce Renewable Fiberboards

Published on: January 27, 2021

相关概念视频

Precipitate Formation and Particle Size Control

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...

Factors Affecting Dissolution: Particle Size and Effective Surface Area

Factors Affecting Dissolution: Particle Size and Effective Surface Area

Dissolution kinetics, an essential aspect of oral drug delivery, is significantly influenced by the drug's particle size. According to the Noyes-Whitney dissolution model, the dissolution rate correlates directly with the drug's surface area. The larger the surface area, the higher the drug's solubility in water, leading to a faster drug dissolution rate. Reducing particle size increases the effective surface area, enhancing the dissolution process. Micronization and nanosizing are...