Liu Kang, Li Wenhui, Ye Peiyan, Zhang Zhiming, Ji Qiaoling, Wu Zijun
Hubei Digital Textile Equipment Key Laboratory, Wuhan Textile University, Wuhan, China.
School of Mechanical Engineering and Automation, Wuhan Textile University, Wuhan, China.
Front Bioeng Biotechnol. 2021 Dec 15;9:807287. doi: 10.3389/fbioe.2021.807287. eCollection 2021.
Force-spinning is a popular way to fabricate various fine fibers such as polymer and metal nanofibers, which are being widely employed in medical and industrial manufacture. The spinneret is the key of the device for spinning fibers, and the physical performance and morphology of the spun nanofibers are largely determined by its structure parameters. In this article, the effect of spinneret parameters on the outlet velocity is explored and the spinneret parameters are also optimized to obtain the maximum outlet velocity. The mathematical model of the solution flow in four areas is established at first, and the relationship between outlet velocity and structure parameters is acquired. This model can directly reflect the flow velocity of the solution in each area. Then, the optimal parameters of outlet diameter, bending angle, and curvature radius are obtained combined with the gray wolf algorithm (GWA). It is found that a curved-tube nozzle with a bending angle of 9.1°, nozzle diameter of 0.6 mm, and curvature radius of 10 mm can obtain the maximum outlet velocity and better velocity distribution. Subsequently, the simulation is utilized to analyze and compare the velocity situation of different parameters. Finally, the fiber of 5 wt% PEO solution is manufactured by a straight-tube nozzle and optimized bent-tube nozzle in the laboratory, and the morphology and diameter distribution were observed using a scanning electron microscope (SEM). The results showed that the outlet velocity was dramatically improved after the bent-tube parameters were optimized by GWA, and nanofibers of better surface quality could be obtained using optimized bent-tube nozzles.
强制纺丝是制造各种精细纤维（如聚合物和金属纳米纤维）的一种常用方法，这些纤维在医疗和工业制造中得到了广泛应用。喷丝头是纤维纺丝装置的关键部件，纺出的纳米纤维的物理性能和形态在很大程度上取决于其结构参数。在本文中，研究了喷丝头参数对出口速度的影响，并对喷丝头参数进行了优化以获得最大出口速度。首先建立了四个区域内溶液流动的数学模型，得到了出口速度与结构参数之间的关系。该模型可以直接反映各区域内溶液的流速。然后，结合灰狼算法（GWA）得到了出口直径、弯曲角度和曲率半径的最优参数。结果发现，弯曲角度为9.1°、喷嘴直径为0.6毫米、曲率半径为10毫米的弯管喷嘴能够获得最大出口速度和更好的速度分布。随后，利用模拟分析和比较了不同参数下的速度情况。最后，在实验室中使用直管喷嘴和优化后的弯管喷嘴制备了5 wt%聚氧化乙烯（PEO）溶液的纤维，并使用扫描电子显微镜（SEM）观察了其形态和直径分布。结果表明，通过灰狼算法优化弯管参数后，出口速度显著提高，使用优化后的弯管喷嘴可以获得表面质量更好的纳米纤维。
