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Numerical solution scheme for inert, disperse, and dilute gas-particle flows

机译:惰性,分散和稀薄气体粒子流的数值解方案

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摘要

A multi-velocity formulation is proposed for the solution of an Eulerian representation of an inert, disperse, and dilute particle-phase of a gas-particle flow. Single-velocity formulations are capable of predicting regions of zero particle concentration but are problematic with crossing particle trajectories or compression waves. The multi-velocity formulation described here can account for crossing particle trajectories by splitting the particle-phase into distinct velocity families which are transported separately in the flow. Switching of the particle families at solid boundaries and due to momentum transfer with the gas-phase is conducted in a manner that enforces conservation of mass, momentum, and energy. This numerical method is combined with a parallel block-based adaptive mesh refinement algorithm that is very effective in treating problems with disparate length scales. The block-based data structure lends itself naturally to domain decomposition and thereby enables efficient and scalable implementations of the algorithm on distributed-memory multi-processor architectures. Numerical results are described to demonstrate the capabilities of the approach for predicting gas-particle flows. (c) 2006 Elsevier Ltd. All rights reserved.
机译:提出了一种多速度公式,用于求解气体颗粒流的惰性,分散和稀颗粒相的欧拉表示。单速制剂能够预测零颗粒浓度的区域,但是在交叉颗粒轨迹或压缩波方面存在问题。此处描述的多速度公式可以通过将粒子相分为不同的速度族来解决粒子轨迹的交叉问题,这些速度族在流中分别传输。在固体边界处以及由于与气相的动量传递而引起的粒子族的切换以强制保持质量,动量和能量的方式进行。该数值方法与基于并行块的自适应网格细化算法相结合,该算法在处理不同长度尺度的问题上非常有效。基于块的数据结构很自然地适合于域分解,从而可以在分布式内存多处理器体系结构上实现算法的高效且可扩展的实现。描述了数值结果以证明该方法预测气体颗粒流量的能力。 (c)2006 Elsevier Ltd.保留所有权利。

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