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使用粗粒技术进行CFD-DEM流化床干燥研究

M J A de Munck1, E A J F Peters1, J A M Kuipers1

  • 1Multiphase Reactors Group, Department of Chemical Engineering and Chemistry, Eindhoven University of Technology, P.O. Box 513, Eindhoven 5600 MB, The Netherlands.

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粗粒度计算流体动力学-离散元件方法 (CFD-DEM) 建模使工业干燥的较大的流化床模拟成为可能. 这种方法准确地捕获了颗粒温度,密度和干燥性能 (谢尔伍德数).

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科学领域:

  • 化学工程是化学工程的重要组成部分.
  • 颗粒技术 颗粒技术
  • 计算科学 计算科学

背景情况:

  • 液化床在工业干燥过程中被广泛使用.
  • 计算流体动力学-离散元素方法 (CFD-DEM) 增强了对固体干燥的理解,但面临着大型系统的计算局限性.

研究的目的:

  • 调查粗粒CFD-DEM缩放规律的应用,以模拟流化床固体干燥.
  • 为了评估较大的流化床系统的粗粒度的计算效率和准确性.

主要方法:

  • 实施粗的CFD-DEM扩展规则.
  • 在三种不同的表面气体速度下模拟流体化床.
  • 对粒子温度,密度和谢伍德数的分析.

主要成果:

  • 实现了粒子温度和密度的准确描述.
  • 谢尔伍德数,干燥性能的一个关键指标,被粗粒模拟很好地捕获.
  • 粗粒度显著降低了计算成本,使更大的系统模拟成为可能.

结论:

  • 粗粒CFD-DEM是一种可行且准确的模拟工业流化床干燥的方法.
  • 这种方法克服了计算的局限性,允许研究更大,更复杂的干燥系统.
  • 该方法可提供可靠的预测干燥性能指标,如谢尔伍德数.