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MODELING GASEOUS FLOWS THROUGH MICRO- AND NANO-CHANNELS

机译:通过微通道和纳米通道模拟气态流动

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The overall object of this paper is a systematic study of gaseous flows in two-dimensional micro- and nano-channels in terms of the effects ofcompressibility, rarefaction, and surface roughness which are usually neglected in conventional flow analysis, using direct simulation Monte Carlo (DSMC) method. The flows are mainly in slip and transition regimes that are often encountered in Microelectromechanical Systems (MEMS), Nanoelectromechanical Systems (NEMS), and other microscale devices in diverse fields like molecular biology, space propulsion, and particle physics. For the effect of compressibility, two flows with same outlet Knudsen number (Kn) but different pressure drop ratios (case1:1.3, case2: 4.5) were simulated. It was found that high pressure drop flow (case2) show a 15% higher friction coefficient than that of a fully developed flow while the low pressure drop flow (case1) is consistent with incompressible flow prediction. The inspection for the velocity profile development shows that when pressures drop increase along the channel, the center-line velocity become flatten and the velocity gradients near the wall are higher compared with parabolic velocity profile. The effect of rarefaction was studied by simulating two nitrogen flows with low-pressure drop ratio (=1.9) but different Kn numbers. (case3: 0.043, case4: 0.083). The pressure distribution,velocity profile, local friction coefficient are checked. The comparison with continuum flowtheory (fRe=24.0) shows that the rarefactions reducethe friction coefficient by 22% and 36% for case3 and case4, respectively. Apparent velocity slips along the channel wall exist for these flows. A locally fully developed model based on local velocity slip and fully developed assumptions predicts the friction coefficient accurately but fails in transition region where the Kn is over 0.1. Two important ratios are investigated for surface roughness effect in micro- and nano-channel flows: relative roughness and distribution of roughness. The DSMC results show that the surface roughness has more profound effect for a lower Kn number microchannel flow. The roughness distribution also plays a very important role in microchannel flows. The denser the roughness distribution, the higher friction coefficient. The future work will focus on flows in free-molecular flow regime and three-dimension geometries.
机译:本文的总体目的是使用直接模拟Monte Carlo(D)对二维微通道和纳米通道中的气体流动进行系统研究,研究常规流动分析中通常忽略的可压缩性,稀疏性和表面粗糙度等方面的影响。 DSMC)方法。流动主要是在微机电系统(MEMS),纳米机电系统(NEMS)以及分子生物学,空间推进和粒子物理学等各个领域的其他微型设备中经常遇到的滑动和过渡状态。为了获得可压缩性的效果,模拟了两个具有相同出口Knudsen数(Kn)但压力降比不同(案例1:1.3,案例2:4.5)的流动。发现高压降流(情况2)的摩擦系数比完全展开的流高15%,而低压降流(情况1)与不可压缩的流量预测一致。对速度分布的检查表明,当压力沿通道下降时,中心线速度变平,壁附近的速度梯度比抛物线速度分布要高。通过模拟两个低压降比(= 1.9)但Kn数不同的氮气流来研究稀疏效果。 (情况3:0.043,情况4:0.083)。检查压力分布,速度分布,局部摩擦系数。与连续流理论(fRe = 24.0)的比较表明,稀疏性使案例3和案例4的摩擦系数分别降低了22%和36%。这些流动沿通道壁存在明显的速度滑移。基于局部速度滑移和充分假设的局部完全发展模型可以准确预测摩擦系数,但在Kn超过0.1的过渡区域中失败。对于微通道和纳米通道流中的表面粗糙度效应,研究了两个重要的比率:相对粗糙度和粗糙度分布。 DSMC结果表明,对于较低的Kn数微通道流量,表面粗糙度具有更深远的影响。粗糙度分布在微通道流动中也起着非常重要的作用。粗糙度分布越密,摩擦系数越高。未来的工作将集中在自由分子流态和三维几何中的流。

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