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Flow Behavior of Grains through the Dosing Station of Spacecraft under Low-Gravity Environments

机译:低重力环境下谷物通过航天器加药站的流动行为

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摘要

For the design of the grain-processing stations of spacecrafts, such as EXOMARS 2020, reliable estimates are required on the internal and bulk flow characteristics of granular media under low-gravity environments. Using theoretical and computational modeling, the authors present the results on the generic flow behavior of granular materials through flow channels under different gravity levels. For this, the authors use three approaches: (1) a simple one-dimensional discrete-layer approach (DLA) based on hybrid-Lagrange continuum analysis; (2) Kirya's three-dimensional structural continuum model; and (3) three-dimensional discrete-element modeling (DEM). Each model has its merits and limitations. For the granular simulant considered in this paper, a good level of agreement is obtained between the results of Kirya's model and the DEM simulations on the flow properties of the grains. Some qualitative comparisons are also reported favorably on the flow characteristics of grains between the results of the experimental parabolic flight campaign and the DEM simulations. The theoretical and DEM simulations presented in this paper could help to minimize relying on the complex experimental programs, such as the parabolic flight campaign, for evaluating the processing behavior of grains under low-gravity environments in the future. (C) 2017 American Society of Civil Engineers.
机译:对于诸如EXOMARS 2020这样的航天器谷物处理站的设计,需要对低重力环境下颗粒介质的内部和整体流动特性进行可靠的估算。使用理论和计算模型,作者介绍了颗粒物质在不同重力水平下通过流动通道的一般流动行为的结果。为此,作者使用三种方法:(1)基于混合-拉格朗日连续谱分析的简单一维离散层方法(DLA); (2)Kirya的三维结构连续模型; (3)三维离散元素建模(DEM)。每个模型都有其优缺点。对于本文考虑的颗粒模拟物,Kirya模型的结果与DEM模拟的颗粒流动特性之间取得了良好的一致性。实验抛物线飞行运动的结果和DEM模拟之间的晶粒流动特性方面也进行了一些定性比较。本文提出的理论和DEM仿真可以帮助最小化对复杂实验程序(如抛物线飞行运动)的依赖,以评估未来在低重力环境下谷物的加工性能。 (C)2017年美国土木工程师学会。

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  • 来源
    《Journal of aerospace engineering》 |2017年第6期|04017078.1-04017078.8|共8页
  • 作者单位

    Univ Leeds, Sch Chem & Proc Engn, Leeds LS2 9JT, W Yorkshire, England;

    Univ Leeds, Sch Chem & Proc Engn, Leeds LS2 9JT, W Yorkshire, England;

    OHB Syst AG, Manfred Fuchs Str 1, D-82234 Munich, Germany;

    Southern Kazakh State Univ, Dept Math Methods & Simulat, Tauke Khan Ave 5, Shimkent 160012, Kazakhstan;

    King Saud Univ, Coll Sci, Dept Phys & Astron, POB 2455, Riyadh, Saudi Arabia;

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