A Flutter-Based Energy Harvester Device: Time-Domain Numerical Integration Scheme

Authors

  • Agostina C. Aichino Universidad Nacional de Córdoba, Instituto de Estudios Avanzados en Ingeniería y Tecnología (IDIT- UNC/CONICET) & Facultad de Ciencias Exactas, Físicas y Naturales, Departamento de Estructuras, Córdoba, Argentina.
  • Martín E. Pérez Segura Universidad Nacional de Córdoba, Instituto de Estudios Avanzados en Ingeniería y Tecnología (IDIT- UNC/CONICET) & Facultad de Ciencias Exactas, Físicas y Naturales, Departamento de Estructuras, Córdoba, Argentina.
  • Emmanuel Beltramo Universidad Nacional de Córdoba, Instituto de Estudios Avanzados en Ingeniería y Tecnología (IDIT- UNC/CONICET) & Facultad de Ciencias Exactas, Físicas y Naturales, Departamento de Estructuras, Córdoba, Argentina.
  • Santiago Ribero Universidad Nacional de Córdoba, Facultad de Ciencias Exactas, Físicas y Naturales, Departamento de Estructuras. Córdoba, Argentina.
  • Marcelo F. Valdez Universidad Nacional de Salta, Instituto de Investigaciones en Energía No Convencional (INENCO, UNSa – CONICET). Salta, Argentina.
  • Sergio Preidikman Universidad Nacional de Córdoba, Instituto de Estudios Avanzados en Ingeniería y Tecnología (IDIT- UNC/CONICET) & Facultad de Ciencias Exactas, Físicas y Naturales, Departamento de Estructuras, Córdoba, Argentina.

DOI:

https://doi.org/10.70567/mc.v41i13.64

Keywords:

energy havesters, flutter, integration scheme

Abstract

This article is the second part of a two-part series aimed at the numerical development and time-domain integration of the equations of motion for an array of energy harvesters based on aeroelastic instabilities. A fundamental challenge with the chosen time-domain approach to solving the aeroelastic problem is the interdependence between the aerodynamic loads and the movement of the harvesters. To address this challenge, an iterative scheme that accounts for this interaction is presented. The scheme is based on a set of adaptations and innovations to the well-known fourth-order Hamming predictorcorrector method, which proves more suitable than Runge-Kutta methods for problems of this nature.

References

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Published

2024-11-08

Issue

Vol. 41 No. 13 (2024): Multiphysics (A)

Section

Conference Papers in MECOM 2024

License

Copyright (c) 2024 Argentine Association for Computational Mechanics

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