| ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
Prev
Next
|
|
|
Flow characteristics of supersonic gas passing through a circular micro-channel under different inflow conditions |
| Guang-Ming Guo(郭广明)1, Qin Luo(罗琴)2, Lin Zhu(朱林)1, Yi-Xiang Bian(边义祥)1 |
1 College of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China;
2 College of Information Engineering, Yangzhou University, Yangzhou 225127, China |
|
|
|
|
Abstract Gas flow in a micro-channel usually has a high Knudsen number. The predominant predictive tool for such a micro-flow is the direct simulation Monte Carlo (DSMC) method, which is used in this paper to investigate primary flow properties of supersonic gas in a circular micro-channel for different inflow conditions, such as free stream at different altitudes, with different incoming Mach numbers, and with different angles of attack. Simulation results indicate that the altitude and free stream incoming Mach number have a significant effect on the whole micro-channel flow field, whereas the angle of attack mainly affects the entrance part of micro-channel flow field. The fundamental mechanism behind the simulation results is also presented. With the increase of altitude, thr free stream would be partly prevented from entering into micro-channel. Meanwhile, the gas flow in micro-channel is decelerated, and the increase in the angle of attack also decelerates the gas flow. In contrast, gas flow in micro-channel is accelerated as free stream incoming Mach number increases. A noteworthy finding is that the rarefaction effects can become very dominant when the free stream incoming Mach number is low. In other words, a free stream with a larger incoming velocity is able to reduce the influence of the rarefaction effects on gas flow in the micro-channel.
|
Received: 21 January 2019
Revised: 21 February 2019
Accepted manuscript online:
|
|
PACS:
|
47.27.nd
|
(Channel flow)
|
| |
47.40.Ki
|
(Supersonic and hypersonic flows)
|
| |
47.11.Mn
|
(Molecular dynamics methods)
|
| |
47.45.-n
|
(Rarefied gas dynamics)
|
|
| Fund: Project supported by the National Natural Science Foundation of China (Grant No. 11802264) and the Natural Science Foundation of Jiangsu Province, China (Grant No. BK20180896). |
Corresponding Authors:
Guang-Ming Guo
E-mail: guoming20071028@163.com
|
Cite this article:
Guang-Ming Guo(郭广明), Qin Luo(罗琴), Lin Zhu(朱林), Yi-Xiang Bian(边义祥) Flow characteristics of supersonic gas passing through a circular micro-channel under different inflow conditions 2019 Chin. Phys. B 28 064702
|
| [1] |
Zhou H, Cai G B and He B J 2016 Appl. Therm. Eng. 109 217
|
| [2] |
Fang Y C and Liou W W 2002 J. Heat Transfer 124 338
|
| [3] |
Ho C M and Tai Y C 1998 Ann. Rev. Fluid Mech. 30 579
|
| [4] |
Wang M R and Li Z X 2004 Int. J. Heat Fluid Flow 25 975
|
| [5] |
Darbandi M and Roohi E 2011 Int. Commun. Heat Mass 38 1443
|
| [6] |
Sebastiao I B and Santos W F 2014 Appl. Therm. Eng. 62 58
|
| [7] |
Cercignani C 1987 The Boltzmann Equation and Its Applications. (Springer-Verlag New York Inc.) p. 359
|
| [8] |
Akhlaghia H and Roohi E 2016 Comput. Fluids 127 78
|
| [9] |
Bird G A 1976 Molecular Gas Dynamics (Oxford: Clarendon Press)
|
| [10] |
Bird G A 1994 Molecular Gas Dynamics and the Direct Simulation of Gas Flows (Oxford: Clarendon Press)
|
| [11] |
Zhang Y B 2018 Int. J. Heat Mass Transfer 125 681
|
| [12] |
Taassob A, Kamali R and Bordbar A 2018 Vacuum 151 197
|
| [13] |
Yao Z H, Zhang X W and Xue X B 2011 Appl. Math. Model 35 2016
|
| [14] |
Torre F L, Kenjereš S, Moerel J L and Kleijn C R 2011 Comput. Fluids 49 312
|
| [15] |
San O, Bayraktar I and Bayraktar T 2009 Int. Commun. Heat Mass 36 402
|
| [16] |
Wang H T, Chen Z H and Gao J G 2016 Appl. Therm. Eng. 107 870
|
| [17] |
Taheri P and Struchtrup H 2010 Physica A 389 3069
|
| [18] |
White C, Borg M K, Scanlon T J and Reese J M 2013 Comput. Fluids 71 261
|
| [19] |
Zhen C E, Hong Z C, Lin Y J and Hong N T 2007 Numer. Heat Transfer Part. A 52 239
|
| [20] |
Gatsonis N, Al-Kouz W and Chamberlin R 2010 Phys. Fluids 22 032001
|
| [21] |
Ejtehadi O, Roohi E and Esfahani J A 2012 Int. Commun. Heat Mass 39 439
|
| [22] |
Liou W W and Fang Y C 2001 J. Microelectromech. S. 10 274
|
| [23] |
Cercignani C 1975 Theory and Application Of The Boltzmann Equation (Edinburgh Scottish Academic Press)
|
| [24] |
Guo G M, Liu H and Zhang B 2017 Acta Astronaut. 132 256
|
| [25] |
Schwartzentruber T E and Boyd I D 2006 J. Comput. Phys. 215 402
|
| [26] |
Ren W, Liu H and Jin S 2014 J. Comput. Phys. 276 380
|
| [27] |
Guo G M and Luo Q 2018 Int. J. Mech. Sci. 148 496
|
| [28] |
Guo G M, Liu H and Zhang B 2016 Appl. Opt. 55 4741
|
| [29] |
Zhang B, Liu H and Jin S 2016 J. Comput. Phys. 305 575
|
| [30] |
Sebastiao I B and Santos W F 2013 Appl. Therm. Eng. 52 566
|
| [31] |
Darbandi M and Roohi E 2011 Microfluid Nanofluid 10 321
|
| [32] |
Sharath P, Rao C, Rahman M M and Soliman H M 2006 Numer. Heat Tranf. A 49 635
|
| [33] |
Aniskin V M, Mironov S G, Maslov A A and Tsyryulnikov I S 2015 Microfluid Nanofluid 19 621
|
| [34] |
Aniskin V, Mironov S and Maslov A 2013 Microfluid Nanofluid 14 605
|
| [35] |
Wang X 2006 Fundamental of Gas Dynamics (Xi'an: Northwest Industrial University Press)
|
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|
