In this study, the polymeric nanofibers of polyvinylpyrrolidone (PVP) were manufactured using the electrospinning technique. The electrospinning process parameters such as voltage, polymer concentration, rotational speed of the collecting drum, collecting distance, and flow rate were optimized to obtain the minimum fiber diameter for sound absorption applications. The effects of these parameters on the fiber diameter as output responses were investigated by analysis of variance (ANOVA) and Taguchi’s array design. Furthermore, a mathematical model was generated using response surface methodology (RSM) to model the electrospinning process. The high voltage and polymer concentration were observed to be the most significant parameters at 95% and 99% confidence level. The average model accuracy of 83.4% was observed for the predictive model of electrospinning which is considered acceptable as it is composed of complete experimental trials of 27 out of 243 runs. The experimental study offers a promising attempt in the open literature to carefully understand the effect of various electrospinning parameters when producing PVP nanofibers.

中文翻译：

---

电纺 PVP（聚乙烯吡咯烷酮）纳米纤维的分析和优化

在这项研究中，聚乙烯吡咯烷酮 (PVP) 的聚合物纳米纤维是使用静电纺丝技术制造的。对静电纺丝工艺参数，如电压、聚合物浓度、收集鼓的转速、收集距离和流速进行了优化，以获得用于吸声应用的最小纤维直径。这些参数对作为输出响应的纤维直径的影响通过方差分析 (ANOVA) 和田口阵列设计进行了研究。此外，使用响应面方法 (RSM) 生成数学模型来模拟静电纺丝过程。在 95% 和 99% 的置信水平下，观察到高电压和聚合物浓度是最重要的参数。平均模型精度为 83。对于静电纺丝的预测模型，观察到 4%，这被认为是可以接受的，因为它由 243 次运行中的 27 次的完整实验试验组成。该实验研究在公开文献中提供了一个有希望的尝试，以仔细了解生产 PVP 纳米纤维时各种静电纺丝参数的影响。