Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/66102
Title: Breath figure micromolding approach for regulating the microstructures of polymeric films for triboelectric nanogenerators
Authors: Gong, J
Xu, B
Tao, X
Keywords: Adjustable surface microstructures
Breath figure molds
Human body motion
Mechanical energy
Microlens arrays
Triboelectric nanogenerators
Issue Date: 2017
Publisher: American Chemical Society
Source: ACS applied materials and interfaces, 2017, v. 9, no. 5, p. 4988-4997 How to cite?
Journal: ACS applied materials and interfaces 
Abstract: A triboelectric nanogenerator (TENG) is an innovative kind of energy harvester recently developed on the basis of organic materials for converting mechanical energy into electricity through the combined use of the triboelectric effect and electrostatic induction. Polymeric materials and their microstructures play key roles in the generation, accumulation, and retainment of triboelectric charges, which decisively determines the final electric performance of TENGs. Herein we report a simple and efficient breath figure (BF) micromolding approach to rapidly regulate the surface microstructures of polymeric films for the assembly of TENGs. Honeycomb porous films with adjustable pore size and dimensional architectures were first prepared by the BF technique through simply adjusting the concentration of the polymer solution. They were then used as negative molds for straightforward synthesis of polydimethylsiloxane (PDMS) films with different microlens arrays (MLAs) and lens sizes, which were further assembled for TENGs to investigate the influence of film microstructures. All MLA-based TENGs were found to have an obviously enhanced electric performance in comparison with a flat-PDMS-film-based TENG. Specifically, up to 3 times improvement in the electric performance can be achieved by the MLA-based TENG with optimal surface microstructures over flat-PDMS-film-based TENG under the same triggering conditions. A MLA-based TENG was further successfully used to harvest the waste mechanical energy generated by different human body motions, including finger tapping, hand clapping, and walking with a frequency ranging from 0.5 to 5.5 Hz.
URI: http://hdl.handle.net/10397/66102
ISSN: 1944-8244
EISSN: 1944-8252
DOI: 10.1021/acsami.6b14729
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