In this study, the diameter of polyvinyl butyral nanofibers was modeled using response surface method based on three variables, at three levels of central composite design and particle swarm optimization-least squares support vector machine. Under optimal conditions, the measured mean diameter of the nanofibers was 175 nm. Sensitivity analysis in both models showed that polyvinyl butyral concentration in the solution was found to be the most effective parameter on the nanofiber diameter. The voltage is placed in the next. Fracture toughness under Mode I condition shows that the use of electrospun nanowebs as an interlayer in the structure of multi-layers composite has a positive effect on the GIc which values for the oriented and random nanofibers modified samples increased by 60% and 55%, respectively. According to SEM images, the main mechanism of fracture toughness in these samples was crack deflection and nanofibers crack bridging.

中文翻译：

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通过 RSM 和 PSO-LSSVM 模型对 PVB 纳米纤维的静电纺丝条件进行建模和优化，以提高层压复合材料的层间断裂韧性

在这项研究中，聚乙烯醇缩丁醛纳米纤维的直径使用基于三个变量的响应面方法建模，在三个水平的中心复合设计和粒子群优化 - 最小二乘支持向量机。在最佳条件下，纳米纤维的测量平均直径为 175 nm。两种模型的灵敏度分析表明，发现溶液中的聚乙烯醇缩丁醛浓度是纳米纤维直径的最有效参数。电压放在下一个。模式 I 条件下的断裂韧性表明，在多层复合材料的结构中使用电纺纳米纤维网作为夹层对 Glc 有积极影响，取向和随机纳米纤维改性样品的值分别增加了 60% 和 55% . 根据 SEM 图像，