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Structure and rheological properties of model microemulsion networks filled with nanoparticles

机译:纳米颗粒填充的模型微乳液网络的结构和流变性质

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Model microemulsion networks of oil droplets stabilized by non-ionic surfactant and telechelic polymer C18-PEO(10k)-C18 have been studied for two droplet-to-polymer size ratios. The rheological properties of the networks have been measured as a function of network connectivity and can be described in terms of simple percolation laws. The network structure has been characterised by Small Angle Neutron Scattering (SANS). A Reverse Monte Carlo (RMC) approach is used to demonstrate the interplay of attraction and repulsion induced by the copolymer. These model networks are then used as matrix for the incorporation of silica nanoparticles (R = 10 nm), individual dispersion being checked by scattering. A strong impact on the rheological properties is found for silica volume fractions up to 9%. q(°A-1)
机译:研究了由非离子表面活性剂和远螯聚合物C18-PEO(10k)-C18稳定的油滴模型微乳液网络的两个液滴与聚合物的尺寸比。已经测量了网络的流变特性,作为网络连通性的函数,可以根据简单的渗流定律进行描述。网络结构的特征在于小角中子散射(SANS)。反向蒙特卡洛(RMC)方法用于证明共聚物引起的吸引和排斥的相互作用。然后将这些模型网络用作掺入二氧化硅纳米粒子(R = 10 nm)的基质,通过散射检查各个分散体。对于高达9%的二氧化硅体积分数,发现其对流变性能的强烈影响。 q(°A-1)

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