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Application of the “Rock'n’Roll” (RNR) resuspension model with non-zero slip velocities on particle and substrate surfaces
Journal of Aerosol Science ( IF 3.9 ) Pub Date : 2021-01-01 , DOI: 10.1016/j.jaerosci.2020.105675
Dongchi Yu , Fei Hu

Abstract Studies on the flow-induced particle resuspension have great significance for engineering applications of many areas, and several established resuspension models have been developed for the analysis of particle resuspension in an atmospheric environment. However, for flow with a non-negligible particle Knudsen number (the ratio between the mean free path of gas and the particle radius), which is commonly expected for vacuum systems and space applications, the potentially substantial influence of flow slip on solid surfaces on flow-induced particle resuspension is hardly accounted for in the existing published works. Therefore, in the present study, flow slips on the surfaces of particle and substrate are taken into consideration in the calculation of flow-induced forces, which are further integrated into the established “rock'n’roll” (RNR) resuspension model to predict the resuspension rates of micron and sub-micron particles in a viscous flow of rarefied gas, and the results are compared with available experimental measurements for validation. It is shown that flow slip on the surfaces of particle and substrate considerably affects the removal force and the corresponding resuspension rates of mono-layer particle deposition, and the predictions on particle resuspension rates given by the present slip-modified RNR (SRNR) model exhibit noticeably better agreement with the experimental measurements.

中文翻译:

具有非零滑移速度的“Rock'n'Roll”(RNR)再悬浮模型在颗粒和基材表面上的应用

摘要 流动诱导粒子再悬浮的研究对许多领域的工程应用具有重要意义,目前已经建立了几种用于大气环境中粒子再悬浮分析的再悬浮模型。然而,对于具有不可忽略的粒子 Knudsen 数(气体的平均自由程和粒子半径之间的比率)的流动,这通常用于真空系统和空间应用,流动滑移对固体表面的潜在实质性影响现有已发表的作品中几乎没有考虑到流动诱导的粒子再悬浮。因此,在本研究中,在计算流致力时考虑了颗粒和基体表面的流动滑移,并进一步整合到已建立的“岩石”中。n'roll” (RNR) 再悬浮模型用于预测稀薄气体粘性流中微米和亚微米颗粒的再悬浮率,并将结果与​​可用的实验测量值进行比较以进行验证。结果表明,颗粒和基体表面的流动滑移显着影响单层颗粒沉积的去除力和相应的再悬浮率,并且现有滑移修正 RNR (SRNR) 模型给出的颗粒再悬浮率预测表明与实验测量结果的一致性明显更好。
更新日期:2021-01-01
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