Establishment of Unique Cone Shapes and Universal Shape Parameters toward Predicting Fiber Diameter in Polymer Electrospinning,Industrial & Engineering Chemistry Research

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Establishment of Unique Cone Shapes and Universal Shape Parameters toward Predicting Fiber Diameter in Polymer Electrospinning
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2024-07-17 , DOI: 10.1021/acs.iecr.4c01534
Swasthika Arunachalam ₁ , Harish N. Dixit _{2,

3} , Satyavrata Samavedi ₁

Affiliation

Fiber diameter plays an important role in determining the performance of electrospun meshes in several applications. Since fiber diameter is known to be correlated to specific cone/jet features (e.g., cone height), real-time visualization of electrospinning can potentially facilitate direct control over fiber properties. However, progress in this direction has been hampered by a lack of objective criteria to accurately identify key cone/jet features, as well as a lack of shape parameters that can be applied across cone shapes. This study identifies unique cone shapes in electrospinning and establishes shape parameters that correlate with fiber diameter. Poly(caprolactone) was electrospun from two different solvents, and three unique cone shapes with different curvature signatures were identified from real-time visualization: convex–concave, pinned concave, and unpinned concave. An algorithm involving an iterative power law fit to the cone/jet boundary was developed, and inflection points in the exponents were used to identify universal shape parameters across all cone shapes: cone-end (Lcf), jet-start (Lji), and corresponding diameters Dcf and Dji. Trends in shape parameters were validated as functions of voltage, flow rate, and solution concentration, and their predictive power was demonstrated by correlating Lcf and Lji with fiber diameter. The algorithm was also applied to a droplet-jet shape to determine the locations of Lcf and Lji, thus indicating its universality in identifying shape parameters. The process–property relationships developed herein apply across electrospinning parameters and cone shapes, and can be used to control fiber diameter in electrospinning.

中文翻译：

建立独特的圆锥形状和通用形状参数来预测聚合物静电纺丝中的纤维直径

在多种应用中，纤维直径对于确定静电纺丝网的性能起着重要作用。由于已知纤维直径与特定锥体/射流特征（例如锥体高度）相关，因此静电纺丝的实时可视化可能有助于直接控制纤维特性。然而，由于缺乏准确识别关键锥体/射流特征的客观标准，以及缺乏可应用于锥体形状的形状参数，这一方向的进展受到阻碍。这项研究确定了静电纺丝中独特的锥体形状，并建立了与纤维直径相关的形状参数。聚己内酯由两种不同的溶剂静电纺丝而成，并通过实时可视化识别出三种具有不同曲率特征的独特圆锥形状：凸凹、固定凹面和无固定凹面。开发了一种涉及锥体/射流边界的迭代幂律拟合的算法，并使用指数中的拐点来识别所有锥体形状的通用形状参数：锥体末端（Lcf）、射流启动（Lji）和相应的直径Dcf和Dji。形状参数的趋势被验证为电压、流速和溶液浓度的函数，并且通过将 Lcf 和 Lji 与纤维直径相关联来证明其预测能力。该算法还应用于液滴喷射形状以确定 Lcf 和 Lji 的位置，从而表明其在识别形状参数方面的普适性。本文开发的工艺-性能关系适用于静电纺丝参数和锥体形状，并且可用于控制静电纺丝中的纤维直径。

更新日期：2024-07-17

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