journal article·2020-06

Electro-blown spinning driven by cylindrical rotating triboelectric nanogenerator and its applications for fabricating nanofibers

Yuntao Liu, Jing Wen, Baodong Chen, Mingli Zheng, Di Liu, Yuan Liu, Wei Tang, Jun Liu, Ding Nan, Zhong Lin Wang

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Abstract

Abstract The newly developed electro-spinning based on triboelectric nanogenerator (TENG) is one of the most convenient ways to produce nanofibers, however, it's required to have a high-voltage of no lower than 8000 V, meanwhile, it remains challenging to enhance productivity on push forward the commercialization and with low cost. Herein, we report an innovative electro-blown spinning (EBS) methodology based on a cylindrical rotating (CR) TENG that is fast, efficient, lower high-voltage and cost-effective for the fabrication of polymer nanofiber membranes. The CR-TENG serves both as a high-voltage source and as a receiver, it gave a stabilized elecric output that the short-circuit current (Isc) and transferred charge (ΔQsc) are ~75 μA, ~0.78 μC, and the peak power density (σ) reaches a maximum of ~ 2.23 W/m2. Combined with assisted blowing technology, we have successfully achieved in driven the EBS system by a voltage 6250 V, which has saved more than 21% of high-voltage consumption. In addition, the thickness of produced nanofiber membranes had reached several microns level at manufacturing time within 5 s, then productivity is obviously increased compared with the electro-spinning, and the diameter size of nanofibers has significantly decreased compared to the solution blowing spinning. Moreover, the produced membranes had reached a new level in just a case of a few microns thickness, take the polyethylene oxide (PEO) nanofiber membrane for example, the output Voc, Isc and ΔQsc are nearly 1.6, 1.5, and 1.7 times higher than commercial films.
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Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Electrospun Nanofibers in Biomedical Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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