Ionic Polymer Transducers (IPTs), also known as Ionic Polymer Metal Composites (IPMCs), are a promising group of intelligent materials which exhibit electromechanical coupling behavior in both actuation and sensing. They are composed of an electroactive ionomer, inserted between metallic electrodes. In this study, IPTs are experimentally examined as a sensor in the aspect of electrode composition optimization. Sensors with electrodes having several volumetric percentages of metallic powder, ruthenium dioxide -RuO2-, are tested in bending under different step displacement inputs to explore the output current response. Optimum metallic powder content in the electrode solution for a sensor generating maximum current output is determined. Furthermore, the magnitude of the tip deflection’s effect on sensitivity is examined. The IPTs used in the experiments are fabricated via Direct Assembly Process which enables direct control over the electrode architecture.
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ASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
September 19–21, 2012
Stone Mountain, Georgia, USA
Conference Sponsors:
- Aerospace Division
ISBN:
978-0-7918-4509-7
PROCEEDINGS PAPER
Experimental Optimization of Electrode Composition for Ionic Polymer Transducers in Sensing Available to Purchase
Bilge Kocer,
Bilge Kocer
University of Pittsburgh, Pittsburgh, PA
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Lisa Mauck Weiland
Lisa Mauck Weiland
University of Pittsburgh, Pittsburgh, PA
Search for other works by this author on:
Bilge Kocer
University of Pittsburgh, Pittsburgh, PA
Lisa Mauck Weiland
University of Pittsburgh, Pittsburgh, PA
Paper No:
SMASIS2012-8070, pp. 117-121; 5 pages
Published Online:
July 24, 2013
Citation
Kocer, B, & Weiland, LM. "Experimental Optimization of Electrode Composition for Ionic Polymer Transducers in Sensing." Proceedings of the ASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. Volume 1: Development and Characterization of Multifunctional Materials; Modeling, Simulation and Control of Adaptive Systems; Structural Health Monitoring. Stone Mountain, Georgia, USA. September 19–21, 2012. pp. 117-121. ASME. https://doi.org/10.1115/SMASIS2012-8070
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