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An experimental scaling law for particle-size segregation in dense granular flows

机译:致密粒状流动粒度隔离的实验性缩放规律

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Particles of differing sizes are notoriously prone to segregation in shear driven flows under the action of gravity. This has important implications in many industrial processes, where particle-size segregation can lead to flow problems and reduced product quality, as well as longer product development and start-up times. Particle-size segregation also readily occurs in many hazardous geophysical mass flows (such as snow avalanches, debris flows and volcanic pyroclastic flows) and can lead to the formation of destructive bouldery flow fronts and significantly longer runouts. Although general theories exist to model particle-size segregation, the detailed functional dependence of the segregation flux on the shear rate, gravity, pressure, particle concentration, grain size and grain-size ratio is still not known. This paper describes refractive-index matched oscillatory shear-cell experiments that shed light on the segregation velocity in the two extreme cases of (i) a single large intruder rising up through a matrix of smaller grains, and (ii) a single small intruder percolating down through a matrix of large particles. Despite the sometimes markedly different time scales for segregation in these two situations, a unifying scaling law has been found that is able to collapse all the experimental data over a wide range of shear rates and grain-size ratios in the range . The resulting functional form is easily generalizable to intermediate concentrations and can quantitatively capture laboratory experiments and numerical simulations with a mix of large and small grains.
机译:众所周知,在重力作用下,不同尺寸的颗粒在剪切驱动流中容易分离。这在许多工业过程中具有重要意义,在这些过程中,粒度分离可能导致流动问题和产品质量降低,以及产品开发和启动时间延长。在许多危险的地球物理质量流(如雪崩、泥石流和火山火山碎屑流)中也容易发生粒度分离,并可能导致形成破坏性的巨砾流前缘和显著更长的径流。虽然存在模拟粒度偏析的一般理论,但偏析通量对剪切速率、重力、压力、颗粒浓度、粒度和粒度比的详细函数依赖性仍然未知。本文描述了折射率匹配振荡剪切室实验,该实验揭示了两种极端情况下的分离速度:(i)单个大入侵者通过较小颗粒的基质上升,以及(ii)单个小入侵者通过大颗粒的基质渗透。尽管在这两种情况下,偏析的时间尺度有时明显不同,但已经发现了一个统一的尺度律,它能够在该范围内的大范围剪切速率和粒度比上崩溃所有实验数据。由此产生的函数形式很容易推广到中等浓度,可以定量地捕捉实验室实验和大小颗粒混合的数值模拟。

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