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Optimization of rotating-jet electrospinning process using response surface methodology

机译:使用响应面法优化旋转喷气电纺工艺

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摘要

Rotating-jet electrospinning method is one of the efficient techniques for producing aligned nanofibers. This paper reports an accurate investigation on the influence of collector diameter (CD), voltage, polymer concentration (PC), and insulator length (IL) of spinneret on the degree of fiber alignment (DFA), production rate of fiber, and fiber diameter. The polymer solution was a mixture of polyacrylonitrile and N, N-dimethylformamide. The ranges of independent variables were 20-50 cm for CD, 10-22 kV for voltage, 13-19 wt% for PC, and 0.5-3 cm for IL. To minimize the number of required experiments for a complete evaluation, response surface methodology (RSM) and central composite rotatable design were applied by means of Expert Design Software. After defining the upper and lower bounds of the above independent variables in the software, 30 unique experiments were delivered. The recommended operating conditions by the software were exactly applied in the laboratory and the corresponding values for the DFA, production rate, and fiber diameter were measured. The nanofiber morphology was examined by scanning electron microscopy (SEM). By applying the least-squares method in the DX7.0.0 software, well-fitting polynomial correlations to the experimental results were obtained, and using these correlations, the influence of independent variables and responses was comprehensively studied. Finally, the best values of independent variables for optimizing the responses were determined using RSM.
机译:旋转喷射静电纺丝法是生产对齐纳米纤维的有效技术之一。本文对喷丝板的集电极直径(CD),电压,聚合物浓度(PC)和绝缘子长度(IL)对纤维排列度(DFA),纤维生产率和纤维直径的影响进行了准确的研究。聚合物溶液是聚丙烯腈和N,N-二甲基甲酰胺的混合物。自变量的范围对于CD为20-50 cm,对于电压为10-22 kV,对于PC为13-19 wt%,对于IL为0.5-3 cm。为了最大程度地减少进行完整评估所需的实验数量,通过专家设计软件应用了响应面方法(RSM)和中央复合可旋转设计。在软件中定义了以上自变量的上限和下限之后,进行了3​​0个独特的实验。该软件推荐的操作条件已在实验室中准确应用,并测量了DFA,生产率和纤维直径的相应值。通过扫描电子显微镜(SEM)检查了纳米纤维的形态。通过在DX7.0.0软件中应用最小二乘法,获得了与实验结果吻合良好的多项式相关性,并利用这些相关性,全面研究了自变量和响应的影响。最后,使用RSM确定用于优化响应的自变量的最佳值。

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