A theoretical and experimental study on the dynamic response of Ni-Mn-Ga specimens for energy harvesting

Nickolaus M. Bruno, Constantin Ciocanel, Heidi P Feigenbaum, Alex Waldauer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents experimental results and model predictions on power harvesting/sensing capabilities of magnetic shape memory alloys (MSMAs). The theoretical predictions are made using a refined thermodynamic based constitutive model, developed initially by Kiefer and Lagoudas. In an attempt to better predict the observed experimental response of the material at high frequencies, dynamic effects are included in the simulation. Furthermore, internal magnetic and external Lorentz forces are also included in the analysis and their effect on the material's overall response is discussed. The experimental program is carried out at frequencies of up to 40Hertz in two control modes, i.e. load and displacement control. A comparison between the simulated and experimental material response and measured voltage outputs, over a range of frequencies, is presented and discussed.

Original languageEnglish (US)
Title of host publicationASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2011
Pages451-458
Number of pages8
Volume1
StatePublished - 2011
EventASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2011 - Scottsdale, AZ, United States
Duration: Sep 18 2011Sep 21 2011

Other

OtherASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2011
CountryUnited States
CityScottsdale, AZ
Period9/18/119/21/11

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ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Biomaterials

Cite this

Bruno, N. M., Ciocanel, C., Feigenbaum, H. P., & Waldauer, A. (2011). A theoretical and experimental study on the dynamic response of Ni-Mn-Ga specimens for energy harvesting. In ASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2011 (Vol. 1, pp. 451-458)