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相关概念视频

Typical Model Studies01:30

Typical Model Studies

358
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
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An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
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破解代码:空间异质性是模拟颗粒流化床干燥的缺失部分.

Tuur Vandeputte1, Michael Ghijs1, Thomas De Beer2

  • 1BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, B-9000 Ghent, Belgium; Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, B-9000 Ghent, Belgium.

International journal of pharmaceutics
|April 21, 2024
PubMed
概括
此摘要是机器生成的。

这项研究通过添加颗粒分离来增强制药流体床干燥模型,改善水分含量和温度的预测,以便更好地开发药物产品.

关键词:
连续制造 连续制造制造液化床干燥 液化床干燥数学建模的数学建模双螺丝湿颗粒制造 双螺丝湿粒制造

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相关实验视频

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科学领域:

  • 制药制造业 制药制造业 制药制造业
  • 化学工程是化学工程的重要组成部分.
  • 过程建模过程建模

背景情况:

  • 双螺旋湿颗粒对于药物产品开发至关重要,液床干燥机影响了关键的质量属性.
  • 药品制造过程的准确建模对于优化和质量保证至关重要.

研究的目的:

  • 提高制药制造中的流体床干燥模型的预测准确度.
  • 整合一个新的模型层,在流体床干燥过程中考虑颗粒分离.

主要方法:

  • 一个现有的隔间模型通过结合描述颗粒分离行为的新层来增强.
  • 在尺寸类别内模拟了颗粒垂直位置的概率分布.
  • 模型预测与实验数据对水分含量和颗粒床温度进行了验证.

主要成果:

  • 与以前的模型相比,改进后的模型显示出明显改善的预测准确性.
  • 对于未经训练的配方,可以准确预测残留水分含量.
  • 同时准确预测颗粒床温度验证了该模型的结构完整性.

结论:

  • 改进后的模型为预测制药液体床干燥行为提供了强大的工具.
  • 这种进步有助于优化制造参数,并确保药物产品的质量.
  • 改进的预测能力对加速制药产品开发具有重大前景.