当前位置: X-MOL 学术Eng. Sci. Technol. Int. J. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Effect of viscoelasticity in polymer nanofiber electrospinning: Simulation using FENE-CR model
Engineering Science and Technology, an International Journal ( IF 5.1 ) Pub Date : 2021-01-26 , DOI: 10.1016/j.jestch.2020.12.017
Serife Akkoyun , Nuray Öktem

The uniaxial elongational flow of a polymer solution in the electrospinning process was investigated numerically and experimentally. The numerical model was constructed taking into account the viscoelasticity of the material. Therefore, governing equations were supported by a finite extensible non-linear elastic constitutive model and for the first time a FENE-CR model was used. This version of FENE model allows a good description of the rheology of extensional flows. For validation purposes, experimental studies were conducted using polymeric solutions of polyamide 6 (PA6). The main emphasis was made in determining the final fiber diameter and how initial polymer concentration acts on it. Further, the effect of the different concentration regimes on thinning dynamics was also examined. The comparative results of the numerical and experimental outcomes are sufficient to prove the predictive ability of the simulations. It can also be observed that the numerical approach adopted in this study captures not only the viscoelastic behavior of the material but also solidification of nanofibers due to solvent evaporation. As predictive quantitative models for electrospinning are lacking, this study gives good insights into the simulation of this process.



中文翻译:

粘弹性在聚合物纳米纤维静电纺丝中的影响:使用FENE-CR模型的模拟

数值和实验研究了静电纺丝过程中聚合物溶液的单轴伸长流动。考虑材料的粘弹性来构造数值模型。因此,控制方程由有限的可扩展非线性弹性本构模型支持,并且首次使用FENE-CR模型。此版本的FENE模型可以很好地描述延伸流的流变性。为了验证,使用聚酰胺6(PA6)的聚合物溶液进行了实验研究。主要重点是确定最终纤维直径以及初始聚合物浓度如何作用于其上。此外,还研究了不同浓度方案对稀疏动力学的影响。数值和实验结果的比较结果足以证明模拟的预测能力。还可以观察到,在这项研究中采用的数值方法不仅捕获了材料的粘弹性行为,而且还捕获了由于溶剂蒸发而引起的纳米纤维的固化。由于缺少用于静电纺丝的预测性定量模型,因此本研究为该过程的仿真提供了很好的见识。

更新日期:2021-04-02
down
wechat
bug