FLUENT对云凝结核计数器云室内气流特征的模拟研究

doi:10.13209/j.0479-8023.2017.015

北京大学学报自然科学版 ›› 2017, Vol. 53 ›› Issue (5): 817-824.DOI: 10.13209/j.0479-8023.2017.015

FLUENT对云凝结核计数器云室内气流特征的模拟研究

于仁杰¹, 赵春生¹(), 薛惠文¹, 马楠¹, 陶江川¹, 付仕佐¹, 张健鹏², 旷烨¹, 刘宏剑¹, 边宇轩¹

1. 北京大学物理学院大气与海洋科学系, 北京 100871
2. 北京大学工学院湍流与复杂系统国家重点实验室, 北京 100871

收稿日期:2016-04-28 修回日期:2016-06-07 出版日期:2017-09-20 发布日期:2017-09-20
基金资助:
国家重点基础研究发展计划(2013CB955803)资助

Simulation of Flow in Continuous-Flow Cloud Condensation Nuclei Counter (DMT-CCNC)

Renjie YU¹, Chunsheng ZHAO¹(), Huiwen XUE¹, Nan MA¹, Jiangchuan TAO¹, Shizuo FU¹, Jianpeng ZHANG², Ye KUANG¹, Hongjian LIU¹, Yuxuan BIAN¹

1. Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871
2. State Key Laboratory for Turbulence & Complex Systems, College of Engineering, Peking University, Beijing 100871;

Received:2016-04-28 Revised:2016-06-07 Online:2017-09-20 Published:2017-09-20

摘要/Abstract

摘要：

运用计算流体力学模型 ANSYS FLUENT, 对 DMT 公司的恒流热梯度云凝结核计数器(CCNC)云室内的流场、温度场以及水汽场进行模拟。依据外场观测和室内实验中的常用进气流速 0.0164, 0.0185, 0.0205, 0.0226 和 0.0246 m/s 以及云室温差 2, 8 和 17 K, 对比不同进气流速和云室温差对云室内流场的影响。结果显示, 云室内的速度场和温度场均受进气流速和云室温差的影响。当云室温差为 8 K, 进气流速为 0.0205 m/s时, 模拟出的云室中心线的过饱和度约为0.27%, 较好地模拟出云室内的水汽过饱和状态。

关键词: 云凝结核计数器(CCNC), ANSYS FLUENT, 速度场, 温度场, 水汽场

Abstract:

The velocity, temperature and humidity in the chamber of the Continuous Flow Streamwise Thermal-Gradient CCN Counter manufactured by DMT were successfully simulated using the computational fluid dynamics software ANSYS FLUENT. With velocity of 0.0164, 0.0185, 0.0205, 0.0226, 0.0246 m/s and temperature settings of ΔT 2, 8 and 17 K, the influence of velocity and temperature on the flow were tested. Results show that, velocity and temperature setting of CCNC influenced both velocity field and temperature field. When ∆T=8 K, v=0.0205 m/s, the supersaturaiton on the centerline was about 0.27%. Supersaturation in the CCNC chamber was simulated successfully.

Key words: CCNC, ANSYS FLUENT, velocity field, temperature field, water vapor field

于仁杰, 赵春生, 薛惠文, 马楠, 陶江川, 付仕佐, 张健鹏, 旷烨, 刘宏剑, 边宇轩. FLUENT对云凝结核计数器云室内气流特征的模拟研究[J]. 北京大学学报自然科学版, 2017, 53(5): 817-824.

Renjie YU, Chunsheng ZHAO, Huiwen XUE, Nan MA, Jiangchuan TAO, Shizuo FU, Jianpeng ZHANG, Ye KUANG, Hongjian LIU, Yuxuan BIAN. Simulation of Flow in Continuous-Flow Cloud Condensation Nuclei Counter (DMT-CCNC)[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2017, 53(5): 817-824.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://xbna.pku.edu.cn/CN/10.13209/j.0479-8023.2017.015

https://xbna.pku.edu.cn/CN/Y2017/V53/I5/817

图/表 9

图1 CCNC云室示意图

Fig. 1 CCNC chamber

图2 CCNC中产生水汽过饱和的原理

Fig. 2 Theory of supersaturation generation of CCNC chamber

图3 云室温差为2, 8和17 K, 进气流速为0.0205 m/s时的云室内速度场

Fig. 3 Velocity field in CCNC chamber when ∆T is set respectively at 2, 8, 17 K, and inlet flow velocity is 0.0205 m/s

图4 云室温差为2, 8和17 K, 进气流速从0.0164 m/s到0.0246 m/s变化时云室中部速度分布的变化

Fig. 4 Velocity results in the middle of CCNC chamber when ∆T is set respectively at 2, 8, 17 K, and inlet flow velocity varies from 0.0164 m/s to 0.0246 m/s

图5 云室温差为2, 8和17 K, 进气流速为0.0205 m/s时云室内温度场

Fig. 5 Temperature field in CCNC chamber when ∆T is set respectively at 2, 8, 17 K, and inlet flow velocity is 0.0205 m/s

图6 当云室温差为2, 8和17 K, 进气流速从0.0164 m/s到0.0246 m/s变化时云室中部温度分布的变化

Fig. 6 Temperature in the middle of CCNC chamber when ∆T is set respectively at 2, 8, 17 K, and inlet flow velocity varies from 0.0164 m/s to 0.0246 m/s

图7 云室温差∆T = 8 K, 进气流速v = 0.0205 m/s时云室内水汽压

Fig. 7 Vapor pressure field in CCNC chamber when ∆T is set at 8 K, and inlet flow velocity is 0.0205 m/s

图8 云室温差∆T = 8 K, 进气流速v = 0.0205 m/s时云室内饱和水汽压

Fig. 8 Saturation vapor pressure field in CCNC chamber when ∆T is set at 8 K, and inlet flow velocity is 0.0205 m/s

图9 云室温差∆T = 8 K, 进气流速v = 0.0205 m/s时云室内相对湿度

Fig. 9 Relative humidity field in CCNC chamber when ∆T is set at 8 K, and inlet flow velocity is 0.0205 m/s

参考文献 17

[1]	Lohmann U, Feichter J. Global indirect aerosol effects: a review. Atmospheric Chemistry and Phy-sics, 2005, 5(3):715-737
[2]	Solomon S.Climate change 2007 — the physical science basis. Working GroupⅠ: Contribution to the fourth assessment report of the IPCC. New York: Cambridge University Press, 2007: Vol. 4
[3]	Rose D, Gunthe S S, Mikhailov E, et al.Calibration and measurement uncertainties of a continuous-flow cloud condensation nuclei counter (DMT-CCNC): CCN activation of ammonium sulfate and sodium chloride aerosol particles in theory and experiment. Atmospheric Chemistry and Physics , 2008, 8(5):1153-1179
[4]	Stratmann F, Herrmann E, Petaja T, et al. Modelling Ag-particle activation and growth in a TSI WCPC Model3785. Atmospheric Measurement Techniques,2010, 3(1): 273‒281
[5]	Herrmann E, Lihavainen H, Hyvarinen A P, et al. Nucleation simulations using the fluid dynamics software FLUENT with the fine particle model FPM. The Journal of Physical Chemistry A, 2006, 110(45):12448-12455
[6]	Herrmann E, Hyvarinen A P, Brus D, et al. Re-evaluation of the pressure effect for nucleation in laminar flow diffusion chamber experiments with FLUENT and the fine particle model.The Journal of Physical Chemistry A, 2009, 113(8):1434-1439
[7]	Lance S, Medina J, Smith J N, et al. Mapping the operation of the DMT continuous flow CCN counter.Aerosol Science and Technology, 2006, 40(4):242- 254
[8]	Roberts G, Nenes A. A continuous-flow streamwise thermal-gradient CCN chamber for atmospheric measurements.Aerosol Science and Technology, 2005, 39(3):206-221
[9]	ANSYS Inc. ANSYS FLUENT 12.0 user’s guide [EB/OL]. (2009‒04) [2014‒12‒05].
[10]	王福军. 计算流体动力学分析: CFD 软件原理与应用. 北京: 清华大学出版社, 2004: 160‒183
[11]	李进良, 李承曦, 胡仁喜. 精通FLUENT 6.3 流场分析.北京: 化学工业出版社, 2009: 12‒50
[12]	吴望一. 流体力学(上、下).北京: 北京大学出版社, 1990: 145‒199
[13]	马楠. 华北平原气溶胶光学和活化特性研究[D]. 北京: 北京大学, 2013
[14]	邓兆泽, 赵春生, 马楠, 等一种快速测量高粒径分辨率气溶胶活化率曲线的方法.北京大学学报: 自然科学版, 2012, 48(3):386-392
[15]	Wang Z B, Su H, Wang X, et al. Scanning supersaturation CPC applied as a nano-CCN counter for size-resolved analysis of the hygroscopicity and chemical composition of nanoparticles.Atmospheric Measurement Techniques Discussions, 2014, 7(11):11137-11168
[16]	Lathem T L, Nenes A. Water vapor depletion in the DMT continuous-flow CCN chamber: effects on supersaturation and droplet growth.Aerosol Science and Technology, 2011, 45(5):604-615
[17]	盛裴轩, 毛节泰, 李建国, 等. 大气物理学.北京: 北京大学出版社, 2003: 290‒352

FLUENT对云凝结核计数器云室内气流特征的模拟研究

Simulation of Flow in Continuous-Flow Cloud Condensation Nuclei Counter (DMT-CCNC)

RichHTML

PDF

PDF (翻译版)

可视化

摘要/Abstract

引用本文

使用本文

图/表 9

参考文献 17

相关文章 8

编辑推荐

Metrics

留言

[1]	冯乾, 张庆红. 西北太平洋2001—2014年热带气旋结构变化的环境垂直风切变和水汽场统计[J]. 北京大学学报自然科学版, 2018, 54(4): 713-720.
[2]	陶江川, 赵春生, 马楠, 黄梦宇. 云凝结核数浓度观测影响因子的实验室研究[J]. 北京大学学报自然科学版, 2018, 54(4): 699-704.
[3]	王久珂,韩素芹,边海,刘晓阳,孙大力,赵春生. 一次暴雨过程中GPS三维层析水汽场的变化特征[J]. 北京大学学报（自然科学版）, 2014, 50(6): 1053-1064.
[4]	刘树华,周彬. 应用一改进的模式对北京夏季风、温和湿度场的模拟[J]. 北京大学学报（自然科学版）, 2007, 43(1): 42-47.
[5]	刘刚, 刘式达, 刘峰, 刘式适. 天气图上的涡旋动力学[J]. 北京大学学报（自然科学版）, 2007, 43(1): 17-22.
[6]	胡小明,刘树华,梁福明,王建华,刘和平,李炬,王迎春. 北京区域近地边界层特征数值模拟[J]. 北京大学学报（自然科学版）, 2005, 41(4): 514-522.
[7]	胡小明,刘树华,梁福明,王建华,刘和平,王迎春,李炬. 北京区域夏冬季风场、温度场的观测研究[J]. 北京大学学报（自然科学版）, 2005, 41(3): 399-407.
[8]	王宝民,孙向明,刘辉志,桑建国. 二维街谷热力动力场数值模拟[J]. 北京大学学报（自然科学版）, 2004, 40(5): 774-780.