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Analyses Of Gas Flows In Micro- And Nanochannels

机译:微和纳米通道中的气体流动分析

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Micro- and nanoscale gas flows are analyzed theoretically and numerically. The analyses of gas flow similarity show that the gas flows at different scales can be similar only when the gas is treated as a prefect gas. If the gas density is so high that the density effect cannot be ignored, the three dimensionless parameters, Re, Ma, and Kn, which characterize the micro gas flow, are independent of each other and cannot be equal for flows at different scales, so the similarity breaks down. The critical density for the similarity failure can be analytically determined for each kind of gas. The analytical results were validated by numerical simulations. High density, high Knudsen number gas flows were modeled using a generalized Monte Carlo method based on the Enskog theory which considers both the density effect on the collision rate and the molecular repulsive and attractive interactions for a Lennard-Jones gas. The predicted transport coefficients agree better with experimental data than previous predictions. The simulation results show that when the gas density is higher than the critical density, the denseness effect alters the flow velocity and temperature fields from the direct simulation Monte Carlo results. Higher densities lead to greater deviation.
机译:从理论和数值上分析了微米和纳米级的气流。气流相似性分析表明,只有当该气体被视为次要气体时,不同规模的气流才能相似。如果气体密度很高以至于不能忽略密度效应,则表征微气流的三个无量纲参数Re,Ma和Kn彼此独立,并且对于不同比例的流量不能相等,因此相似性破裂。可以通过分析确定每种气体的相似性失效的临界密度。通过数值模拟验证了分析结果。使用基于Enskog理论的广义蒙特卡洛方法对高密度,高克努森数的气体流进行建模,该方法考虑了密度对碰撞速率的影响以及Lennard-Jones气体的分子排斥和吸引力相互作用。预测的传输系数与实验数据相比,比以前的预测更好。仿真结果表明,当气体密度高于临界密度时,密度效应会根据直接模拟蒙特卡洛结果改变流速和温度场。更高的密度导致更大的偏差。

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