详细信息

Correlating cone/jet features of electrospinning with fiber diameter and wettability to modulate fiber membranes with different wettabilitiy  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Correlating cone/jet features of electrospinning with fiber diameter and wettability to modulate fiber membranes with different wettabilitiy

作者:Lu, Zhaojin[1,2];Qin, Mengyao[2];Wang, Zhiwen[2];Yang, Hang[2];Han, Qingling[2];Sun, Jianguo[2];Sha, Jin[2];Zhu, Yong[2];Bai, Zhishan[2]

机构:[1]East China Univ Sci & Technol, Sch Chem Engn, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai 200237, Peoples R China

年份:2026

卷号:321

外文期刊名:CHEMICAL ENGINEERING SCIENCE

收录:;EI(收录号:20254119307340);WOS:【SCI-EXPANDED(收录号:WOS:001595534200002)】;

基金:Acknowledgements The research was sponsored by the National Natural Science

语种:英文

外文关键词:Electrospinning; Cone/jet feature parameters; Fiber diameter; Underwater oil contact angle; Fiber membrane wettability

摘要:Electrospinning is capable of fabricating nanofiber membranes with tunable structures and surface properties. However, the lack of quantitative predictive models correlating process signatures with membrane wettability hinders the rational design and application of these membranes for scenarios with specific wettability requirements. In this study, we achieved the precise extraction of key cone/jet feature parameters in the electrospinning experiment, including cone-end length (L-c), jet-start length (L-j), straight jet length (L-sj), and Taylor cone volume (V-c), with a feature point recognition accuracy of 0.99, by integrating in-situ high-speed imaging with a self-developed algorithm. The results demonstrated a statistically stable correlation between L-c and fiber diameter (R-2 > 0.86-0.99), while L-j exhibited notably superior predictive capability for fiber diameter within concentration groups (R-2 > 0.99). A highly multiple regression model, D-f = 1g((LcLjVc-399.88)-L-299.02-V-464.59) - 0.016.0.25(sj)(L) - 83.72(R-2 > 0.96), was established to further elucidate the combined effects of these parameters on fiber diameter. Based on the validation of fiber diameter as a key indicator for predicting wettability, the study revealed that Lj and Lsj provided a more accurate wettability prediction in concentration-grouped experiments (R-2 > 0.99) than fiber diameter itself (R-2 > 0.87). These findings indicate that cone/jet features can serve as effective indicators for the real-time monitoring and precise control of nanofiber membrane wettability. This research provides a theoretical basis for the controllable design of electrospun membranes and has significant potential applications in fields such as oil-water separation, biomedicine and surface engineering.

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