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Energy harvesting employing non-linear systems offers considerable advantages over linear systems given the broadband resonant response which is favorable for applications involving diverse input vibrations. In this respect, the rich dynamics of bi-stable systems present a promising means for harvesting vibrational energy from ambient sources. Harvesters deriving their bi-stability from thermally induced stresses as opposed to magnetic forces are receiving significant attention as it reduces the need for ancillary components and allows for bio- compatible constructions. However, the design of these bi-stable harvesters still requires further optimization to completely exploit the dynamic behavior of these systems. This study presents a comparison of the harvesting capabilities of non-magnetic, bi-stable composite laminates under variations in the design parameters as evaluated utilizing established power metrics. Energy output characteristics of two bi-stable composite laminate plates with a piezoelectric patch bonded on the top surface are experimentally investigated for variations in the thickness ratio and inertial mass positions for multiple load conditions. A particular design configuration is found to perform better over the entire range of testing conditions which include single and multiple frequency excitation, thus indicating that design optimization over the geometry of the harvester yields robust performance. The experimental analysis further highlights the need for appropriate design guidelines for optimization and holistic performance metrics to account for the range of operational conditions.
Janav P. Udani,Cailin Wrigley, andAndres F. Arrieta
"Performance metric comparison study for non-magnetic bi-stable energy harvesters", Proc. SPIE 10164, Active and Passive Smart Structures and Integrated Systems 2017, 101641B (11 April 2017); https://doi.org/10.1117/12.2261889
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Janav P. Udani, Cailin Wrigley, Andres F. Arrieta, "Performance metric comparison study for non-magnetic bi-stable energy harvesters," Proc. SPIE 10164, Active and Passive Smart Structures and Integrated Systems 2017, 101641B (11 April 2017); https://doi.org/10.1117/12.2261889