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ESTIMATION OF FLOW CHARACTERISTICS IN MICRO-GEOMETRIES

机译:估计微几何中的流动特性

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摘要

The estimation of gaseous flow characteristics in micro-geometries is important for MEMS (Micro Electro Mechanical Systems) as a non-testing method. Therefore, the methodology to estimate the gaseous flow characteristics in micro-geometries for a wide flow range from no-slip to slip flow (Kn<0.01) and from incompressible and compressible flow using a f·Re (the product of friction factor and Reynolds number) correlation is developed and proposed. A f·Re correlation as a function of Mach number and incompressible slip f·Re, f·Re_(inc,slip) was obtained for micro-channels whose cross-sections are parallel, circular and annular. Then, incompressible slip f·Re, f·Re_(inc,slip) is a function of Knudsen number and incompressible no-slip f·Re, f·Re_(inc,no-slip) where f·Re_(inc,no-slip) is a function of channel geometry. The flow characteristics through micro-geometries can be predicted by a f·Re correlation. A f·Re correlation obtained here is applicable to micro-channels whose cross-sections are parallel, circular, rectangular and annular. The detail of the procedure how to apply the f·Re correlation is also documented. In the developed methodology, the forth-order Runge-Kutta method was employed to integrate the nonlinear ordinary differential equation for the pressure and the regular-Falsi method was also employed to find the inlet Mach number. The present results are compared with both available numerical simulations and experimental measurements. The results are in excellent agreement with them.
机译:作为非测试方法,对于微型几何体中的气体流动特性的估计对于MEMS(微机电系统)而言很重要。因此,使用af·Re(摩擦系数和雷诺数的乘积),从无滑流到滑流(Kn <0.01)以及不可压缩和可压缩流的宽流量范围,估算微观几何中的气体流动特性的方法。 )相关性得到发展和提出。对于横截面为平行,圆形和环形的微通道,获得了作为马赫数和不可压缩滑移f·Re,f·Re_(inc,slip)的函数的f·Re相关性。然后,不可压缩滑移f·Re,f·Re_(inc,slip)是Knudsen数和不可压缩滑移f·Re,f·Re_(inc,no-slip)的函数,其中f·Re_(inc,no-滑移)是通道几何形状的函数。可以通过f·Re相关性预测通过微几何形状的流动特性。此处获得的f·Re相关性适用于横截面为平行,圆形,矩形和环形的微通道。还记录了如何应用f·Re相关的过程的详细信息。在开发的方法中,采用四阶Runge-Kutta方法对压力的非线性常微分方程进行积分,并且还采用了正则Falsi方法来找到入口马赫数。将现有结果与可用的数值模拟和实验测量结果进行比较。结果与他们非常吻合。

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