Department of Materials Science and Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India.
J Mech Behav Biomed Mater. 2021 Apr;116:104331. doi: 10.1016/j.jmbbm.2021.104331. Epub 2021 Jan 18.
The structural fabrication and optimization of polylactic acid (PLA)/poly (є-caprolactone) (PCL) blend-based bead-free electrospun nanofibrous mats (ENMs) has been carried out by using Response Surface Methodology (RSM) and Taguchi design of experiments (DoE). From the three control parameters i.e., PCL content, N, N- dimethylformamide (DMF) content, and electrospinning solution concentration, the optimal parametric combinations for minimizing the bead defects amongst ENMs were obtained. The parametric optimization outcomes remained identical, from both RSM and Taguchi approaches, irrespective of the difference in the number of experimental trials. The experimental validation of the predicted results from Taguchi-design showed an excellent agreement with >95% accuracy concerning minimization of bead defects and average fiber diameter. The solution concentration was a key determinant in controlling the gross fiber morphology. The quasi-static mechanical response of the optimally designed ENMs showed a distinct role in structural aspects of fibers. The failure responses revealed the role of the structural network of ENMs in controlling the failure stress and network collapse that was also reiterated upon the outcomes of suture retention strength assessment. The optimally designed ENM structures showed a correspondingly optimal level of suture resistance, where fine fibers offered higher resistance to suture failure due to the cooperative network effects unlike the relatively coarse fiber-based ENMs undergoing collapse attributed to fiber buckling and fiber slippage in the labile structural network.
采用响应面法(RSM)和 Taguchi 实验设计(DoE)对聚乳酸(PLA)/聚(ε-己内酯)(PCL)共混无珠电纺纳米纤维毡(ENM)进行了结构制造和优化。从三个控制参数即 PCL 含量、N,N-二甲基甲酰胺(DMF)含量和纺丝溶液浓度中,获得了最小化 ENM 中珠缺陷的最佳参数组合。无论实验次数的差异如何,来自 RSM 和 Taguchi 方法的参数优化结果都是相同的。Taguchi 设计预测结果的实验验证显示,在最小化珠缺陷和平均纤维直径方面,准确性超过 95%。溶液浓度是控制总纤维形态的关键决定因素。最佳设计的 ENM 的准静态机械响应显示出在纤维结构方面的明显作用。失效响应揭示了 ENM 结构网络在控制失效应力和网络崩溃方面的作用,这也在缝线保持强度评估的结果中得到了重申。最佳设计的 ENM 结构表现出相应的最佳缝线阻力水平,由于协同网络效应,细纤维提供了更高的缝线失效阻力,而相对较粗的纤维基 ENM 则由于纤维屈曲和纤维在不稳定结构网络中的滑动而发生崩溃。