The Significance of Flow-Modified Permittivity: A New Model and Computer Simulation of Electrorheology.
Saved in:
| Title: | The Significance of Flow-Modified Permittivity: A New Model and Computer Simulation of Electrorheology. |
|---|---|
| Authors: | Hu, Yue, Lin, Ee-Yenn E., Dassanayake, Ujitha M. |
| Source: | International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics. 7/20/2002, Vol. 16 Issue 17/18, p2562. 7p. |
| Subjects: | Electrorheological fluids, Electric fields, Dielectric relaxation |
| Abstract: | We propose a model that takes into account the effect of flow-modified permittivity on electrorheology (ER). Due to dielectric relaxation, a shear flow causes the induced particle dipole moments in an ER fluid to tilt in a direction away from the direction of the applied DC electric field. Results from our computer simulation indicate that at high shear rates this misalignment (tilt angle) between the particle dipole moments and the applied electric field plays a crucial role in producing ER effects. By choosing particle-fluid dielectric and conductive mismatches to optimize the tilt angle, our simulation produces ER effects at much higher shear rates than those in earlier simulation work, even though there is no chain structure at these high shear rates. The increase in shear stress due to the applied electric field in our simulation is nearly constant over the wide range of shear rates examined, in qualitative agreement with experimental results. In addition, our model generates results that agree with earlier simulation work at low shear rates, where the particle dipole moments are essentially aligned with the field and the chain model is adequate. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
Be the first to leave a comment!
