The effect of process variables on near-field electrospinning of polycaprolactone studied by response surface methodology

IF 2.4 3区 化学 Q3 POLYMER SCIENCE Iranian Polymer Journal Pub Date : 2024-06-01 DOI:10.1007/s13726-024-01339-0
Ali Reza Khodabandeh, Ali Akbar Yousefi, Ebrahim Vasheghani-Farahani
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Abstract

Near-field electrospinning (NFES) is a unique method of additive manufacturing (AM) that combines features from conventional electrospinning (CES) and direct ink writing (DIW). NFES allows for the production of nano/micro-scale fibers, similar to CES, while also enabling the creation of fibers and regular structures like DIW. This unique combination sets NFES apart from other AM methods, offering advantages such as low cost, high resolution, compatibility with various materials, and reproducibility. As a result of these properties, NFES has found applications in diverse fields, including tissue engineering, sensors, and electronics. In this study, for a better structural design of the fibrous polycaprolactone construct, the surface response methodology (RSM) was used to study the effect of process variables such as polymer concentration, flow rate, voltage, distance, and collector speed on fiber diameter. The relationship between these parameters and fiber diameter was analyzed. The collector speed was found to have the most influence on fiber diameter, while voltage had the least effect. A statistical model was developed to describe the interactions between these parameters and fiber diameter, validated through experimental tests. The model accurately predicted fiber diameter with less than 16% difference and can be applied to fabricate fibrous constructs by NFES.

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用响应面方法研究工艺变量对聚己内酯近场电纺丝的影响
近场电纺丝(NFES)是一种独特的增材制造(AM)方法,它结合了传统电纺丝(CES)和直接墨水写入(DIW)的特点。NFES 可以生产纳米级/微米级纤维,与 CES 相似,同时还能像 DIW 一样制造纤维和规则结构。这种独特的组合使 NFES 有别于其他 AM 方法,具有成本低、分辨率高、与各种材料兼容和可重复性强等优点。由于这些特性,NFES 已在组织工程、传感器和电子学等多个领域得到应用。在本研究中,为了更好地设计纤维状聚己内酯结构,采用了表面响应法(RSM)来研究聚合物浓度、流速、电压、距离和收集器速度等工艺变量对纤维直径的影响。分析了这些参数与纤维直径之间的关系。结果发现,收集器速度对纤维直径的影响最大,而电压的影响最小。建立了一个统计模型来描述这些参数与纤维直径之间的相互作用,并通过实验测试进行了验证。该模型准确预测了纤维直径,差值小于 16%,可用于通过 NFES 制造纤维结构。
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来源期刊
Iranian Polymer Journal
Iranian Polymer Journal 化学-高分子科学
CiteScore
4.90
自引率
9.70%
发文量
107
审稿时长
2.8 months
期刊介绍: Iranian Polymer Journal, a monthly peer-reviewed international journal, provides a continuous forum for the dissemination of the original research and latest advances made in science and technology of polymers, covering diverse areas of polymer synthesis, characterization, polymer physics, rubber, plastics and composites, processing and engineering, biopolymers, drug delivery systems and natural polymers to meet specific applications. Also contributions from nano-related fields are regarded especially important for its versatility in modern scientific development.
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