Many-body dipole-induced dipole model for electrorheological fluids
Huang Ji-Ping (黄吉平)ab, Yu Kin-Wah (余建华)a
a Department of Physics, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China; b Laboratory of Computational Engineering, Helsinki University of Technology, PO Box 9203, FIN-02015 HUT, Finland
Abstract Theoretical investigations on electrorheological (ER) fluids usually rely on computer simulations. An initial approach for these studies would be the point-dipole (PD) approximation, which is known to err considerably when the particles approach and finally touch each other due to many-body and multipolar interactions. Thus various works have attempted to go beyond the PD model. Being beyond the PD model, previous attempts have been restricted to either local-field effects only or multipolar effects only, but not both. For instance, we recently proposed a dipole-induced-dipole (DID) model which is shown to be both more accurate than the PD model and easy to use. This work is necessary because the many-body (local-field) effect is included to put forth the many-body DID model. The results show that the multipolar interactions can indeed be dominant over the dipole interaction, while the local-field effect may yield a correction.
Received: 16 July 2003
Revised: 24 December 2003
Accepted manuscript online:
PACS:
83.80.Gv
(Electro- and magnetorheological fluids)
Fund: Project supported by the Research Grants Council of the Hong Kong SAR Government under project nos CUHK 4245/01P and CUHK 403303.
Cite this article:
Huang Ji-Ping (黄吉平), Yu Kin-Wah (余建华) Many-body dipole-induced dipole model for electrorheological fluids 2004 Chinese Physics 13 1065
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.