Satoh Akira, Taneko Eiji
Department of Machine Intelligence and System Engineering, Faculty of System Science and Technology, Akita Prefectural University, 84-4, Ebinokuchi, Tsuchiya-aza, Yuri-honjyo 015-0055, Japan.
J Colloid Interface Sci. 2009 Oct 1;338(1):236-42. doi: 10.1016/j.jcis.2009.06.030. Epub 2009 Jun 17.
We have carried out Brownian dynamics simulations of sedimentation phenomena of a dispersion composed of two-kinds of spherical particles under the gravity field. This study may be the first step to develop a new technology which enables us to improve the visibility of rivers and lakes. In the present study, we have modeled sub-micrometer-dimension particles, or dirty particles, as small spherical particles, and capturing particles as large spherical particles; these two-kinds of particles conduct Brownian motion in water, and large particles adsorb small particles to sediment gradually toward the bottom in the gravity field. From the results of simulations, the influences of Brownian motion, the size of each particle, and the gravity force on the performance of the adsorption of large particles have been discussed. In addition, we have discussed what the most appropriate situation of large particles is to accomplish the most effective adsorption rate or improve the visibility of water most effectively in terms of capturing particles. The most important conclusion derived from the present results is that, in order to improve the capturing performance, the Brownian motion of large particles has to be activated in an appropriate number density without losing the influence of the gravity.
我们对重力场中由两种球形颗粒组成的分散体系的沉降现象进行了布朗动力学模拟。本研究可能是开发一项新技术的第一步，该技术能使我们提高河流和湖泊的能见度。在本研究中，我们将亚微米尺寸的颗粒（即脏颗粒）建模为小的球形颗粒，将捕获颗粒建模为大的球形颗粒；这两种颗粒在水中进行布朗运动，大颗粒吸附小颗粒并在重力场中逐渐向底部沉降。从模拟结果出发，讨论了布朗运动、各颗粒尺寸以及重力对大颗粒吸附性能的影响。此外，我们还讨论了就捕获颗粒而言，大颗粒处于何种最合适的状态才能实现最有效的吸附速率或最有效地提高水的能见度。从当前结果得出的最重要结论是，为了提高捕获性能，必须在适当的数密度下激活大颗粒的布朗运动，同时又不失去重力的影响。
