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Assessment of nanoparticle loading and dispersion in polymeric materials using optical wavefront correlation

机译:使用光波前相关性评估聚合物材料中纳米颗粒的负载和分散

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摘要

Small concentrations (<= 5 wt. %) of nanoparticles in polymeric materials can potentially result in improvements in material properties and functionality. However, poor or non-uniform particle dispersion resulting in clustering (agglomeration) in polymer nanocomposites (PNCs) limits the potential for property enhancement. Achieving good dispersion is considered essential for large-scale production and commercialization of PNCs. New and effective measurement techniques capable of quantitatively characterizing particle loading and dispersion would significantly contribute towards understanding and optimizing the material performance of PNCs and, consequently, play a pivotal role in product development. This paper presents the results of a study using a static light scattering technique, optical wavefront correlation (OWC), for discriminating between different particle loadings and levels of dispersion. The technique has been applied to a range of PNCs, including epoxy resins reinforced with nanoclay platelets or silica microspheres, and zinc oxide and lithium aluminate reinforced polypropylene. Crown Copyright (C) 2015 Published by Elsevier Ltd. All rights reserved.
机译:聚合物材料中的纳米颗粒浓度低(<= 5 wt。%)可能会导致材料性能和功能的改善。但是,不良或不均匀的颗粒分散会导致聚合物纳米复合材料(PNC)发生聚集(凝聚),从而限制了性能增强的潜力。对于PNC的大规模生产和商业化,实现良好的分散性至关重要。能够定量表征颗粒负载和分散的新型有效测量技术将极大地有助于理解和优化PNC的材料性能,因此,在产品开发中起着举足轻重的作用。本文介绍了使用静态光散射技术(光波前相关性(OWC))进行研究的结果,该技术用于区分不同的粒子负载和色散级别。该技术已应用于多种PNC,包括用纳米粘土薄片或二氧化硅微球增强的环氧树脂,以及氧化锌和铝酸锂增强的聚丙烯。 Crown版权所有(C)2015,由Elsevier Ltd.发行。保留所有权利。

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