| Electrorheological fluids are a kind of smart soft materials.The rheological parameters such as shear stress,viscosity and viscoelastic modulus will change significantly under the stimulation of electric field.The excellence of the electrorheological fluids are shown in the characteristics of continuous adjustment,rapid and reversible,so this kind of complex fluids has a broad prospect in the application of dampers,shock absorption and finishing equipment.The chemical structure,morphology and crystallinity of raw cellulose were changed by the hydrolysis of strong acid,the modification of polar molecules(urea)and the combination of Laponite inorganic particles,and to explore how these properties affect the electrorheological properties.Firstly,The raw cellulose broke down the glycosidic bonds under the acidic conditions and ultrasonic wave.The surface morphology,chemical structure,crystallization change and thermal stability of hydrolyzed cellulose were characterized by SEM,FT-IR,XRD,and TG.The rheological rheology of 10% ER fluid was prepared.The properties and the yield stress of the hydrolyzed cellulose were obtained using the Bingham model to fit the shear stress.Secondly,the cellulose was modified using a silane coupling agent containing urea terminalgroups.The change of performance of the modified cellulose before and after the modification was characterized by SEM,FT-IR,XRD,TG.The mass fraction of dimethyl silicone oil was used as the disperse phase.The rheological behavior of the ER fluid was measured by 10%,and the yield stress of the hydrolyzed cellulose was obtained by fitting the shear stress using the CCJ model to obtain the optimal reaction amount of the silane coupling agent.Thirdly,the inorganic Laponite was used for compounding with cellulose.The SEM,XRD and TG were used to characterize the changes of the properties of the cellulose composites before and after the modification.Hydrogen-containing silicone oil was used as the dispersed phase to prepare electrorheological fluids with a mass fraction of 15%.The model was modeled using Bingham and CCJ models. |