首页> 外文会议>ASME International Conference on Micro/Nanoscale Heat and Mass Transfer >THE SIMULATIONS OF FLOW AND HEAT OVER MICROSCALE SENSORS IN SUPERSONIC RAREFIED GAS FLOWS USING DSMC
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THE SIMULATIONS OF FLOW AND HEAT OVER MICROSCALE SENSORS IN SUPERSONIC RAREFIED GAS FLOWS USING DSMC

机译:使用DSMC模拟超音速稀土气体的微观传感器的流量和热量模拟

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As the use of MEMS-based devices and systems are continuously increasing, the understanding of their correct characteristics becomes so serious for the related researches. In this study, the supersonic rarefied gas flow over microscale hotwires is investigated using the Direct Simulation Monte Carlo (DSMC) method. Indeed, the DSMC has been accepted as a powerful method to study the rarefied gas flow especially in transitional regime. Therefore, it can be considered as a reliable method to investigate the rarefied supersonic flow over microscale objects including the microscale hotwires. In this work, we study the effective parameters, which affect the performance of these sensors at constant sensor surface temperature conditions. We use our developed DSMC code to perform our investigation. This code uses the DSMC algorithm to solve the rarefied gas flow on unstructured grid distributions. To validate our developed DSMC code, we solve the supersonic rarefied gas flow and heat transfer in microchannel considering different Knudsen number magnitudes. Comparing the achieved flow and heat transfer solutions with other available results and data reported on microchannel studies, we verify the accuracy of achieved results. Next we focus on hotwire sensor, which often consists of the combinations of different long narrow circular cylinders. We study the effects of grid resolution, time step size, and the number of simulated particles on the obtained results. We further study the effects of sensor temperature and sensor diameter on the sensor thermal performance. The achieved results indicate that the surface heat flux performs very similarly in different studied cases. For example, the achieved local Nusselt number distributions around the circular sensor show that the surface heat flux would gradually increase from the sensor stagnation point to its rear end as the temperature gradient increases. It reaches to a maximum magnitude and it then starts decreasing resulting in effective heat flux reduction. Finally, there is a low pressure zone at the rear side of cylinder, which is not considerably affected by the flow properties. The results also show that if the wire surface temperature increases, the Nusselt number would reduce. However, the amount of Nusselt Number reduction rate would decrease as the temperature increases. Furthermore, the results show that the Reynolds number decreases and the Knudsen number increases as the sensor diameter decreases, which is due to the transitional regime behavior. As is known, the flow at boundaries change the condition from the slip to transitional regime when the Knudsen number increases sufficiently; and the flow become rarefied. There is a reduction in the total heat flux rate as the sensor diameter is reduced.
机译:随着基于MEMS的设备和系统的使用持续增加,对其正确的特性的理解变得如此严重的相关研究。在这项研究中,使用直接仿真蒙特卡罗(DSMC)方法研究了超声稀土气流。实际上,DSMC已被认为是研究稀土气体流动的强大方法,尤其是过渡制度。因此,可以被认为是一种可靠的方法,以研究包括微尺度的微尺度物体的稀薄超声波流量。在这项工作中,我们研究了有效参数,影响这些传感器在恒定传感器表面温度条件下的性能。我们使用开发的DSMC代码进行调查。该代码使用DSMC算法来解决非结构化网格分布上的稀土气体流。为了验证我们开发的DSMC代码,我们考虑到不同的knudsen数大幅度,请解决微通道的超音速稀污气流和传热。将达到的流动和传热解决方案与其他可用的结果和数据进行比较,我们在微通道研究中报告的数据,我们验证了达到的结果的准确性。接下来我们专注于热线传感器,这通常由不同长的窄圆柱的组合组成。我们研究了网格分辨率,时间步长和模拟粒子数对所得结果的影响。我们进一步研究了传感器温度和传感器直径对传感器热性能的影响。所达到的结果表明,在不同研究的情况下,表面热通量非常相似。例如,随着温度梯度的增加,所实现的圆形传感器周围的局部露天数分布表明,随着温度梯度增加,表面热通量从传感器停滞点逐渐增加到其后端。它达到最大幅度,然后开始降低导致有效的热通量减少。最后,圆柱形的后侧存在低压区,其不显着受到流动性质的影响。结果还表明,如果线表面温度升高,则营养数将减少。然而,随着温度的增加,营养数减少率的数量会降低。此外,结果表明,随着传感器直径减小,雷诺数减小,并且由于传感器直径减小,这是由于过渡方案行为。众所周知,当knudsen数充分增加时,边界的流量将来自滑移到过渡状态的条件改变为过渡状态;流动变得稀有。随着传感器直径降低,总热通量速率降低。

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