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Formulation of Aqueous Dispersions of PEKK by a Quantitative Structure Property Relationship Approach and Application to Thermoplastic Sizing on Carbon Fibers

机译:定量结构性质关系法配制PEKK水分散体及其在碳纤维上胶中的应用

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The development of formulations for thermoplastic sizing on carbon fibers requires water dispersions of small polymer particles (< 20 μm). PolyEtherKetoneKetone (PEKK) is a high-performance polymer used as a matrix in Carbon Fiber Reinforced Polymers (CFRP) or as a sizing agent. To limit the formulation steps and the use of organic solvents, the sonofragmentation process can be used to deagglomerate polymers, directly in the final aqueous formulation. The sonofragmentation process is controlled by multiple parameters and, in order to identify the key parameters, a quantitative structure property relationship (QSPR) study was performed using artificial neural networks (ANN). The 40 formulations of this study were characterized with the aim of quantifying the sonofragmentation effect. Various physicochemical techniques were used: Photon Correlation Spectroscopy (PCS), destabilization velocity of the dispersions by analytical centrifugation, and scanning electron microscopy. The results obtained showed that only two parameters (mass concentration of surfactant and duration of sonication) had a notable effect on the sonofragmentation process. By controlling these two parameters, it was possible to define a design space in the stability domain of the formulations and to calculate a sonofragmentation efficiency (? ) for four singular zones. Image analysis showed that the sonofragmentation process was accompanied by an increase in the number of particles with Particle size (Ps ) < 20 μm. In optimized aqueous formulations, the majority of particles should have Ps < 20 μm.
机译:用于在碳纤维上进行热塑性上浆的配方的开发需要小的聚合物颗粒(<20μm)的水分散体。聚醚酮酮(PEKK)是一种高性能聚合物,可用作碳纤维增强聚合物(CFRP)中的基质或上浆剂。为了限制配制步骤和有机溶剂的使用,可采用超声波破碎工艺直接在最终的含水配方中对聚合物进行解聚。声波破碎过程由多个参数控制,为了识别关键参数,使用人工神经网络(ANN)进行了定量结构性质关系(QSPR)研究。这项研究的40个配方的特点是旨在量化声碎作用。使用了多种物理化学技术:光子相关光谱法(PCS),通过分析离心法分散液的失稳速度和扫描电子显微镜。所得结果表明,只有两个参数(表面活性剂的质量浓度和超声处理的持续时间)对声波破碎过程有显着影响。通过控制这两个参数,可以在配方的稳定性域中定义一个设计空间,并可以计算四个奇异区域的声波分解效率()。图像分析显示,在声碎过程中伴随着粒径(i Ps)<20μm的颗粒数量增加。在优化的水性制剂中,大多数颗粒的Ps <20μm。

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