Lu Kun-Quan(陆坤权)a)†, Shen Rong(沈容)a), Wang Xue-Zhao(王学昭)a), Sun Gang(孙刚)a), Wen Wei-Jia(温维佳)a)b), and Liu Ji-Xing(刘寄星)a)c)
a Beijing National Laboratory for Condensed Matter Physics,Institute of Physics, Chinese Academy of Sciences, Beijing 100080, China; b Department of Physics, Hong Kong University of Science and Technology, Hong Kong, China; c Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 100080, China
Abstract The yield stress of our newly developed electrorheological (ER) fluids consisting of dielectric nano-particles suspended in silicone oil reaches hundreds of kPa, which is orders of magnitude higher than that of conventional ones. We found that the polar molecules adsorbed on the particles play a decisive role in such new ER fluids. To explain this polar molecule dominated ER (PM-ER) effect a model is proposed based on the interaction of polar molecule-charge between the particles, where the local electric field is significantly enhanced and results in the polar molecules aligning in the direction of the electric field. The model can well explain the giant ER effect and a near-linear dependence of the yield stress on the electric field. The main effective factors for achieving high-performance PM-ER fluids are discussed. The PM-ER fluids with the yield stress higher than one MPa can be expected.
Received: 21 August 2006
Accepted manuscript online:
Fund: Project supported by the National Basic Research Program of China
(Grant No 2004CB619005), the Knowledge Innovation Project and Outstanding Overseas
Chinese Scholars Fund of Chinese Academy of Sciences and NSFC.
Cite this article:
Lu Kun-Quan(陆坤权), Shen Rong(沈容), Wang Xue-Zhao(王学昭), Sun Gang(孙刚), Wen Wei-Jia(温维佳), and Liu Ji-Xing(刘寄星) Polar molecule dominated electrorheological effect 2006 Chinese Physics 15 2476
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.