caa a22 4500 445303255 CHVBK 20180317142604.0 cr unu---uuuuu 170323e20100901xx s 000 0 eng 10.1007/s12274-010-0029-1 doi (NATIONALLICENCE)springer-10.1007/s12274-010-0029-1 Robust optimization of the output voltage of nanogenerators by statistical design of experiments [Elektronische Daten] [Jinhui Song, Huizhi Xie, Wenzhuo Wu, V. Roshan Joseph, C. Jeff Wu, Zhong Wang] 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. Tsinghua University Press and Springer-Verlag Berlin Heidelberg, 2010 ZnO nanowire arrays nationallicence robust parameter design nationallicence nanogenerator nationallicence piezoelectric properties nationallicence Song Jinhui School of Materials Science and Engineering, Georgia Institute of Technology, 30332-0205, Atlanta, Georgia, USA aut Xie Huizhi School of Materials Science and Engineering, Georgia Institute of Technology, 30332-0205, Atlanta, Georgia, USA aut Wu Wenzhuo School of Materials Science and Engineering, Georgia Institute of Technology, 30332-0205, Atlanta, Georgia, USA aut Roshan Joseph V. School of Industrial and Systems Engineering, Georgia Institute of Technology, 30332-0205, Atlanta, Georgia, USA aut Jeff Wu C. School of Industrial and Systems Engineering, Georgia Institute of Technology, 30332-0205, Atlanta, Georgia, USA aut Wang Zhong School of Materials Science and Engineering, Georgia Institute of Technology, 30332-0205, Atlanta, Georgia, USA aut Nano Research Tsinghua Press 3/9(2010-09-01), 613-619 1998-0124 3:9<613 2010 3 12274 https://doi.org/10.1007/s12274-010-0029-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12274-010-0029-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Song Jinhui School of Materials Science and Engineering, Georgia Institute of Technology, 30332-0205, Atlanta, Georgia, USA aut NATIONALLICENCE 700 1- Xie Huizhi School of Materials Science and Engineering, Georgia Institute of Technology, 30332-0205, Atlanta, Georgia, USA aut NATIONALLICENCE 700 1- Wu Wenzhuo School of Materials Science and Engineering, Georgia Institute of Technology, 30332-0205, Atlanta, Georgia, USA aut NATIONALLICENCE 700 1- Roshan Joseph V. School of Industrial and Systems Engineering, Georgia Institute of Technology, 30332-0205, Atlanta, Georgia, USA aut NATIONALLICENCE 700 1- Jeff Wu C. School of Industrial and Systems Engineering, Georgia Institute of Technology, 30332-0205, Atlanta, Georgia, USA aut NATIONALLICENCE 700 1- Wang Zhong School of Materials Science and Engineering, Georgia Institute of Technology, 30332-0205, Atlanta, Georgia, USA aut NATIONALLICENCE 773 0- Nano Research Tsinghua Press 3/9(2010-09-01), 613-619 1998-0124 3:9<613 2010 3 12274 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer