Development of effective stokesian dynamics method for ferromagnetic colloidal dispersions (cluster-based stokesian dynamics method)

被引:0
|
作者
Satoh, Akira [1 ]
机构
[1] Fac. of System Science and Technol., Akita Prefectural University, 84-4 Ebinokuchi, Tsuchiya-aza, Honjo-shi, 015-0055, Japan
来源
| 2002年 / Japan Society of Mechanical Engineers卷 / 68期
关键词
Computer simulation - Dispersions - Hydrodynamics - Shear flow - Viscosity;
D O I
10.1299/kikaib.68.1474
中图分类号
学科分类号
摘要
We have developed a new Stokesian dynamics (SD) method for non-dilute colloidal dispersions, which enables us to reduce drastically the computation time. To verify the validity of the present method, which is called the cluster-based SD method, the simulations of a ferromagnetic colloidal dispersion have been carried out for a simple shear flow. The correlation function and the viscosity have been evaluated in order to compare the results obtained by the present method with those obtained by the ordinary SD method and the method of ignoring hydrodynamic interactions between particles. The results obtained here are summarized as follows. The transient properties from an initial state obtained by the present method agree well with those by the ordinary method, even if the radius γclstr, which defines the cluster formation, is taken as a small value such as γclstr=1.2d (d is the particle diameter). Also, concerning the equilibrium properties such as the pair correlation function and the viscosity, the present cluster-based method gives a satisfactory agreement with the ordinary SD method. Furthermore, the cluster-based method drastically reduces the computation time by about one fourteenth to one seventieth compared with the ordinary method. It is clear from these results that the cluster-based SD method is significantly superior to the ordinary SD method for ferromagnetic colloidal dispersions for which a large model system such as = 1 000 or 10 000 is indispensable in simulations.
引用
收藏
相关论文
共 50 条
  • [41] A cluster-based wavelet feature extraction method and its application
    Yu, Gang
    Kamarthi, Sagar V.
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2010, 23 (02) : 196 - 202
  • [42] Fuzzy Cluster-Based Method of Hotspot Detection with Limited Information
    Bandyopadhyaya, Ranja
    Mitra, Sudeshna
    JOURNAL OF TRANSPORTATION SAFETY & SECURITY, 2015, 7 (04) : 307 - 323
  • [43] COVER: A CLUSTER-BASED VARIANCE REDUCED METHOD FOR ONLINE LEARNING
    Yuan, Kun
    Ying, Bicheng
    Sayed, Ali H.
    2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019, : 3102 - 3106
  • [44] A cluster-based method for mining generalized fuzzy association rules
    Chiu, Hung-Pin
    Tang, Yi-Tsung
    Hsieh, Kun-Lin
    ICICIC 2006: FIRST INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING, INFORMATION AND CONTROL, VOL 2, PROCEEDINGS, 2006, : 519 - +
  • [45] A Phase I Cluster-Based Method for Analyzing Nonparametric Profiles
    Chen, Yajuan
    Birch, Jeffrey B.
    Woodall, William H.
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2015, 31 (08) : 1675 - 1689
  • [46] A cluster-based method for marine sensitive object extraction and representation
    Cunjin Xue
    Qing Dong
    Lijuan Qin
    Journal of Ocean University of China, 2015, 14 : 612 - 620
  • [47] A study of the effective Hamiltonian method for decay dynamics*
    Chen, Jing
    Shan, Xinyu
    Wang, Xiaoyun
    Huang, Yonggang
    COMMUNICATIONS IN THEORETICAL PHYSICS, 2023, 75 (03)
  • [48] A REMARK ON THE EFFECTIVE ACTION METHOD IN DYNAMICS OF VORTICES
    ARODZ, H
    WEGRZYN, P
    PHYSICS LETTERS B, 1992, 291 (03) : 251 - 254
  • [49] AN EFFECTIVE METHOD FOR THE MOLECULAR-DYNAMICS CALCULATION
    ASHUROV, AK
    GULOV, YA
    EVSEEV, AM
    VESTNIK MOSKOVSKOGO UNIVERSITETA SERIYA 2 KHIMIYA, 1986, 27 (02): : 153 - 156
  • [50] Cluster-based application mapping method for Network-on-Chip
    Tosun, Suleyman
    ADVANCES IN ENGINEERING SOFTWARE, 2011, 42 (10) : 868 - 874