Sectional modeling of aerosol dynamics in multi-dimensional flows

被引:28
|
作者
Mitrakos, D. [1 ,2 ]
Hinis, E. [2 ]
Housiadas, C. [1 ]
机构
[1] Demokritos Natl Ctr Sci Res, Inst Nucl Technol & Radiat Protect, Athens 15310, Greece
[2] Natl Tech Univ Athens, Fac Mech Engn, Athens, Greece
关键词
D O I
10.1080/02786820701697804
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The integration of computational fluid dynamics (CFD) with computer modeling of aerosol dynamics is needed in several practical applications. The use of a sectional size distribution is desirable because it offers generality and flexibility in describing the evolution of the aerosol. However, in the presence of condensational growth the sectional method is computationally expensive in multidimensional flows, because a large number of size sections is required to cope with numerical diffusion and achieve accuracy in the delicate coupling between the competing processes of nucleation and condensation. The present work proposes a methodology that enables the implementation of the sectional method in Eulerian multidimensional CFD calculations. For the solution of condensational growth a number conservative numerical scheme is proposed. The scheme is based on a combination of moving and fixed particle size grids and a re-mapping process for the cumulative size distribution, carried out with cubic spline interpolation. The coupling of the aerosol dynamics with the multidimensional CFD calculations is performed with an operator splitting technique, permitting to deal efficiently with the largely different time scales of the aerosol dynamics and transport processes. The developed methodology is validated against available analytical solutions of the general dynamic equation. The appropriateness of the methodology is evaluated by, reproducing the numerically demanding case of nucleation-condensation in an experimental aerosol reactor. The method is found free of numerical diffusion and robust. Good accuracy, is obtained with a modest number of size sections, whereas the computational time on a common personal computer remained always reasonable.
引用
收藏
页码:1076 / 1088
页数:13
相关论文
共 50 条
  • [21] Adversarial VAE with Normalizing Flows for Multi-Dimensional Classification
    Zhang, Wenbo
    Gou, Yunhao
    Jiang, Yuepeng
    Zhang, Yu
    PATTERN RECOGNITION AND COMPUTER VISION, PT I, PRCV 2022, 2022, 13534 : 205 - 219
  • [22] Accurate magnetization modeling in multi-dimensional applications
    Wang, Yaohui
    Yang, Wenhui
    Liu, Feng
    Wang, Qiuliang
    JOURNAL OF APPLIED PHYSICS, 2024, 135 (02)
  • [23] MODELING NONLINEARITY IN MULTI-DIMENSIONAL DEPENDENT DATA
    Han, Qiuyi
    Ding, Jie
    Airoldi, Edoardo
    Tarokh, Vahid
    2017 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP 2017), 2017, : 206 - 210
  • [24] Modeling the Overpasses in Multi-dimensional Traffic Network
    Deng, Min
    Fei, Lifan
    SEVENTH WUHAN INTERNATIONAL CONFERENCE ON E-BUSINESS, VOLS I-III, 2008, : 1056 - 1061
  • [25] Modeling multi-dimensional data in biological systems
    Mao, BY
    BIOPHYSICAL JOURNAL, 2001, 80 (01) : 321A - 322A
  • [26] Tunneling paths in multi-dimensional semiclassical dynamics
    Takatsuka, K
    Ushiyama, H
    Inoue-Ushiyama, A
    PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 1999, 322 (05): : 348 - 417
  • [27] Multi-Dimensional Hegselmann-Krause Dynamics
    Nedic, A.
    Touri, B.
    2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2012, : 68 - 73
  • [28] A CFD-sectional algorithm for population balance equation coupled with multi-dimensional flow dynamics
    Shang, Xiaopeng
    Wan, Man Pun
    Ng, Bing Feng
    Ding, Shirun
    POWDER TECHNOLOGY, 2020, 362 : 111 - 125
  • [29] Multi-dimensional modeling for manufacturing process information
    Lu, Sheng-Ping
    Qiao, Li-Hong
    Zhang, Jin
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2010, 16 (12): : 2577 - 2582
  • [30] Accurate, efficient and monotonic numerical methods for multi-dimensional compressible flows - Part II: Multi-dimensional limiting process
    Kim, KH
    Kim, C
    JOURNAL OF COMPUTATIONAL PHYSICS, 2005, 208 (02) : 570 - 615