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Research Article | Open Access

Robust Optimization of the Output Voltage of Nanogenerators by Statistical Design of Experiments

Jinhui Song1,§Huizhi Xie2,§Wenzhuo Wu1V. Roshan Joseph2C. F. Jeff Wu2( )Zhong Lin Wang1 ( )
School of Materials Science and EngineeringGeorgia Institute of TechnologyAtlanta, Georgia30332-0205USA
School of Industrial and Systems EngineeringGeorgia Institute of TechnologyAtlanta, Georgia30332-0205USA

§ These authors contributed equally to the work

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Abstract

Nanogenerators were first demonstrated by deflecting aligned ZnO nanowires using a conductive atomic force microscopy (AFM) tip. The output of a nanogenerator is affected by three parameters: tip normal force, tip scanning speed, and tip abrasion. In this work, systematic experimental studies have been carried out to examine the combined effects of these three parameters on the output, using statistical design of experiments. A statistical model has been built to analyze the data and predict the optimal parameter settings. For an AFM tip of cone angle 70° coated with Pt, and ZnO nanowires with a diameter of 50 nm and lengths of 600 nm to 1 μm, the optimized parameters for the nanogenerator were found to be a normal force of 137 nN and scanning speed of 40 μm/s, rather than the conventional settings of 120 nN for the normal force and 30 μm/s for the scanning speed. A nanogenerator with the optimized settings has three times the average output voltage of one with the conventional settings.

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Nano Research
Pages 613-619

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Cite this article:
Song J, Xie H, Wu W, et al. Robust Optimization of the Output Voltage of Nanogenerators by Statistical Design of Experiments. Nano Research, 2010, 3(9): 613-619. https://doi.org/10.1007/s12274-010-0029-1

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Received: 11 June 2010
Accepted: 06 August 2010
Published: 09 September 2010
© The Author(s) 2010

This article is published with open access at Springerlink.com

This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.