Abstract Poly(vinylidene fluoride) (PVDF) has been widely used in flexible sensors, nanogenerators, and other fields because of its good physical properties. The influence of the content of β phase in its crystalline form has a great influence on its performance. In order to obtain PVDF membrane with high β phase content, electrospinning is an important technology. However, the parameters of electrospinning conditions are numerous and difficult to optimize. In this work, response surface methodology, a method to solve the relationship between input (test variable) and output (response or experimental index) of complex system by using the comprehensive experimental technique of statistics, was first used to analyze the effect of electrospinning conditions on the content of β phase and to optimize the optimum conditions for obtaining high content of β phase. Breifly, the Plackett–Burman design (PBD) was first implemented to screen out the three most significant factors affecting the β phase content increase from 10 complex factors. Then, the steepest ascent was used to determine the central point of the values of these three factors. After that, the Box–Behnken design (BBD) was selected to establish the model and conduct response surface analysis to obtain the optimum parameters of electrospinning with high β phase content in theory. Finally, the electrospun PVDF film with high β content (FT-PVDF) was obtained by electrospinning with theoretical parameters, and characterized by FTIR, XRD, DSC, and piezoelectric properties. Compared with pure PVDF electrospun films, it was confirmed that FT-PVDF had high β content consistent with prediction, and showed better performance than PVDF.

中文翻译：

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一种新型高β相PVDF膜的开发与分析

摘要 聚偏二氟乙烯（PVDF）因其良好的物理性能而被广泛应用于柔性传感器、纳米发电机等领域。β相在其晶型中的含量对其性能有很大影响。为了获得高β相含量的PVDF膜，静电纺丝是一项重要的技术。然而，静电纺丝条件的参数众多且难以优化。在这项工作中，响应面方法是一种利用统计学的综合实验技术来解决复杂系统的输入（测试变量）和输出（响应或实验指标）之间关系的方法，首次用于分析静电纺丝条件对β相含量的影响，并优化获得高β相含量的最佳条件。Breifly，首先实施 Plackett-Burman 设计 (PBD) 以从 10 个复杂因素中筛选出影响 β 相含量增加的三个最重要的因素。然后，使用最陡峭的上升来确定这三个因素的值的中心点。之后，选择Box-Behnken设计（BBD）建立模型并进行响应面分析，从理论上获得高β相含量静电纺丝的最佳参数。最后，采用理论参数进行静电纺丝，获得了高β含量的静电纺PVDF薄膜（FT-PVDF），并通过FTIR、XRD、DSC和压电性能进行了表征。