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Optimizing strain energy extraction from multi-beam piezoelectric devices for heavy haul freight cars

  • Matheus Valente Lopes
  • Jony Javorski EckertEmail author
  • Thiago Silva Martins
  • Auteliano Antunes SantosJr
Technical Paper
  • 31 Downloads

Abstract

Heavy haul trains used to transport commodities are generally very long and operated by a single individual. Owing to high noise levels from the rolling stock displacement, the driver cannot notice failures in the compartments. It is practically impossible to visually inspect the wagons located far from the locomotive. Sensors that can measure in-train forces may improve the train’s operation, indicating potential failures and preventing accidents and derailments. However, the freight cars employed in most of the railroads are not equipped with electric power sources, making inspections unlikely. Therefore, an energy harvesting system must be developed for the sensors to avoid the need for periodic battery charging or replacement. As a high level of kinetic energy is present in the rolling stock, a vibration energy harvester (VEH) system is an acceptable alternative. Among VEH devices, multi-beam piezoelectric materials used in planar zigzag (PZ) or orthogonal spiral outer fixed (OSo) configurations can be effective alternatives. These can be powered by low-frequency strains readily available in the freight cars. This study investigates the optimum geometries of PZ and OSo aiming to increase the generated power and minimize the structure mass with a focus on their application to ore wagons. Among the optimum solutions, the OSo geometry generates the maximum power, up to 20.93 mW, which is sufficient to feed some critical devices. Conversely, the PZ configurations present the highest energy density, up to 16.595 mW/kg(m s−2)2, which allows for a more suitable solution to be combined in serial and/or parallel pack configurations.

Keywords

Strain energy Planar zigzag Orthogonal spiral Genetic algorithm Electromechanical model 

Notes

Acknowledgements

The authors thank VALE S. A. and the University of Campinas UNICAMP (Brazil) for sponsoring the research.

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Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2019

Authors and Affiliations

  1. 1.Department of Integrated SystemsUniversity of Campinas – UNICAMPCampinasBrazil
  2. 2.Vale S.A. Logistics Engineering CenterVitóriaBrazil

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