2005
DOI: 10.1142/s0217979205029973
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Electrorheological Effect of Conductive Polymers Dispersed in Liquid Crystalline Matrix

Abstract: Hybrid electrorheological fluids comprising powdered conjugated polymers dispersed in solutions of a liquid crystalline polymer were prepared and studied. FeCl 3 doped poly(p-phenylene) and pyrolised polyacrylonitrile were chosen as the dispersed phase and poly(n-hexyl isocyanate) dissolved in xylene was used as the active liquid matrix. All the component materials were extensively characterized by various methods. Flow curves of the hybrid ER fluids were recorded under electric field and compared with analogo… Show more

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Cited by 4 publications
(2 citation statements)
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“…28,29 The high dispersion stability of graphite oxide enables it to form a single graphene oxide layer on many substrates, making it easy to chemically modifiy. [30][31][32] Liquid crystalline epoxy (LCE) is a thermoset liquid crystalline polymer, 33 it possesses the easy orientation in the molecular structure of mesogenic units and reaction of epoxy groups. After curing, LCE can be highly ordered, depth curing of crosslinked network.…”
Section: Introductionmentioning
confidence: 99%
“…28,29 The high dispersion stability of graphite oxide enables it to form a single graphene oxide layer on many substrates, making it easy to chemically modifiy. [30][31][32] Liquid crystalline epoxy (LCE) is a thermoset liquid crystalline polymer, 33 it possesses the easy orientation in the molecular structure of mesogenic units and reaction of epoxy groups. After curing, LCE can be highly ordered, depth curing of crosslinked network.…”
Section: Introductionmentioning
confidence: 99%
“…One of the most important aspects of these effects is reversibility; meaning that these effects can be easily controlled by changing the environmental conditions. Examples of smart materials are piezoelectric (Hong et al, 2003), thermoelectric (Kabir et al, 2014), photochemical (Wang et al, 2009), fluorescent, phosphorescent, fiber-optic devices (Zhao, 1998), electromechanical microcomputers, memory alloys (Mavroidis, 2002; Waldauer et al, 2012), conductive polymers (Ciszewska and Plocharski, 2005), as well as smart fluids (Morillas and de Vicente, 2020; Wereley, 2013).…”
Section: Introductionmentioning
confidence: 99%