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Lagrangian tools for the analysis of mixing in single-phase and multiphase flow systems

机译:拉格朗日工具,用于分析单相和多相流动系统中的混合

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摘要

Mixing is intrinsically a Lagrangian process and, while Eulerian data are very important, Lagrangian information is necessary for its complete description. Lagrangian data can, in principle, be generated by using numerical simulations or experimental techniques based on Lagrangian tracking to provide the trajectories of fluid elements or particles. We present a set of theoretical and computational tools specifically developed for the analysis and validation of single-phase and multiphase Lagrangian flow data obtained from tracer trajectories in mechanically agitated vessels. The implementation and power of these tools are demonstrated by analyzing a wide range of measurements acquired using the technique of positron emission particle tracking during mixing of Newtonian and non-Newtonian fluids as well as mixing of concentrated solid–liquid suspensions. Finally, the accuracy of the raw Lagrangian data treatment developed here is illustrated by comparing with an Eulerian technique and showing very precise mass continuity for an agitated solid–liquid system. ? 2011 American Institute of Chemical Engineers AIChE J, 2012
机译:混合本质上是拉格朗日过程,尽管欧拉数据非常重要,但拉格朗日信息对于完整描述是必需的。原则上,拉格朗日数据可以通过使用基于拉格朗日跟踪的数值模拟或实验技术生成,以提供流体元素或颗粒的轨迹。我们提供了一组理论和计算工具,专门用于分析和验证从机械搅拌容器中的示踪轨迹获得的单相和多相拉格朗日流量数据。通过分析在牛顿流体和非牛顿流体混合以及浓缩的固液悬浮液混合过程中使用正电子发射粒子跟踪技术获得的各种测量结果,证明了这些工具的实现和功能。最后,通过与欧拉技术进行比较说明了此处开发的原始拉格朗日数据处理的准确性,并显示了搅拌固液系统的非常精确的质量连续性。 ? 2011美国化学工程师学会AIChE J,2012

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