论文标题
气动输送过程中粉末流量充电的CFD建模的最新进展
Recent progress in CFD modeling of powder flow charging during pneumatic conveying
论文作者
论文摘要
到目前为止，计算流体动力学（CFD）模拟无法可靠地预测颗粒气流的静电充电。缺乏预测性工具会导致容易产生沉积和排放的粉末操作，从而使化学植物不可持续和主要候选爆炸。本文回顾了近年来数值模型的快速进步，它们的局限性并概述了未来的研究。特别是，讨论包括用于粒子电气化的物理和化学的CFD模型。当今，冷凝器模型在粉末流动电化的CFD模拟中最受欢迎，但无法预测其大多数功能。新实验导致了高级模型，例如不均匀电荷模型，该模型可以在非导电粒子表面上解析局部电荷分布。此外，依靠表面状态理论的模型预测了由相同材料制成的多分散颗粒的双极充电。尽管这些模型通常是使用Eulerian-Lagrangian策略在CFD工具中实施的，但最近欧拉的方法成功地描述了粉末充电。处理完整的粉末时，Eulerian框架在计算上是有效的。因此，欧拉（Eulerian）方法可以从学术研究到应用，模拟全尺度粉末加工单元。总体而言，即使用于粉末流量充电的CFD模型有所改善，但仍针对预测工具的重大障碍仍然存在。
Thus far, Computational Fluid Dynamics (CFD) simulations fail to predict the electrostatic charging of particle-gas flows reliably. The lack of a predictive tool leads to powder operations prone to deposits and discharges, making chemical plants unsustainable and prime candidates for explosions. This paper reviews the rapid progress of numerical models in recent years, their limitations, and outlines future research. In particular, the discussion includes CFD models for the physics and chemistry of particle electrification. The condenser model is most popular today in CFD simulations of powder flow electrification but fails to predict most of its features. New experiments led to advanced models, such as the non-uniform charge model, which resolves the local charge distribution on non-conductive particle surfaces. Further, models relying on the surface state theory predicted bipolar charging of polydisperse particles made of the same material. While these models were usually implemented in CFD tools using an Eulerian-Lagrangian strategy, recently Eulerian methods successfully described powder charging. The Eulerian framework is computationally efficient when handling complete powders; thus, Eulerian methods can pave the way from academic studies to application, simulating full-scale powder processing units. Overall, even though CFD models for powder flow charging improved, major hurdles toward a predictive tool remain.
