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Advanced simulation of particle processing: The roles of cohesion, mass and heat transfer in gas-solid flows.

机译:粒子处理的高级模拟:气固流中内聚力,质量和热传递的作用。

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This dissertation addresses the simulation of several important unit operations in the field of granular processing, which includes particle mixing and segregation, cohesive gas-solid flows, liquid transfer between particles, heat transfer in gas-solid flows and the drying process in gas-solid flows. Particle dynamics (PD) is employed to probe the solid flows and computational fluid dynamics (CFD) is used to simulate the gas phase.;Achieving good mixing of free-flowing particulate solids with different properties is not a trivial exercise. By introducing periodic flow inversions, we show both experimentally and computationally that forcing with a value above a critical frequency can effectively eliminate both density and size segregation.;The mechanics of cohesive flowing gas-particle systems is still poorly understood. Toward that end, we introduce a discrete characterization tool for gas-solid flow of wet (cohesive) granular material- the Granular Capillary Number (Cag). The utility of this tool is computationally tested over a range of cohesive strengths in two prototypical applications of gas-solid flows.;While slow granular flows have been an area of active research in recent years, heat transfer in flowing particulate systems has received relatively little attention. We employ a computational technique that couples the PD, CFD, and heat transfer calculations to simulate realistic heat transfer in a rotary kiln. Our results suggest a transition in heat transfer regime as the conductivity of the particles changes.;Liquid transfer between particles plays a central role in the operation of a variety of particle processing equipment. We introduce a dynamic liquid transfer model for use in PD of heterogeneous particle systems. As a test of this new model we present results from the simulation of a rotary drum spray-coating system.;The drying process in gas-solid flows involves complex mass, momentum and heat transfer. By incorporating mass transfer modeling into our existing gas-solid PD-based heat transfer code, the drying process is successfully simulated. Results are reported for both mono-disperse and bi-disperse cases.;Finally, we outline how to simulate amphiphilic particles, which are spheres comprised of two parts. We use the quaternion method to track the particle rotation, such that we can study the issues relating to anisotropic particles.
机译:本文研究了颗粒加工领域中几个重要的单元操作的仿真,包括颗粒的混合与分离,气固流的凝聚,颗粒之间的液体传递,气固流中的热传递以及气固中的干燥过程。流。使用粒子动力学(PD)探测固体流,并使用计算流体动力学(CFD)模拟气相。实现具有不同特性的自由流动颗粒固体的良好混合并非易事。通过引入周期性的流动反演,我们在实验和计算上都表明,以高于临界频率的值进行强迫可以有效消除密度和尺寸偏析。为此,我们介绍了一种离散的表征工具,用于湿(粘性)颗粒材料的气固流动-颗粒毛细管数(Cag)。在两种典型的气固流应用中,该工具的效用在一系列内聚强度上进行了计算测试。近年来,尽管缓慢的颗粒流成为了活跃的研究领域,但流动的颗粒系统中的传热却相对较少注意。我们采用结合PD,CFD和传热计算的计算技术来模拟回转窑中的实际传热。我们的结果表明,随着颗粒电导率的变化,传热方式也会发生转变。颗粒之间的液体传递在各种颗粒处理设备的运行中起着核心作用。我们介绍了一种动态液体转移模型,用于异质颗粒系统的PD。作为对该新模型的测试,我们提供了转鼓喷涂系统仿真的结果。气固流的干燥过程涉及复杂的质量,动量和热传递。通过将传质模型纳入我们现有的基于气固性PD的传热代码中,成功地模拟了干燥过程。报告了单分散和双分散情况的结果。最后,我们概述了如何模拟两亲粒子,它们是由两部分组成的球体。我们使用四元数方法来跟踪粒子旋转,从而可以研究与各向异性粒子有关的问题。

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