Predictions of MSMA response under bi-axial mechanical loading

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

1 Scopus citations

Abstract

Magnetic shape memory alloys (MSMAs) are materials commonly used for actuation, sensing, and/or power harvesting applications. To date, these applications have primarily been explored under a magnetic field and/or a compressive stress, with the stress and the field acting along directions perpendicular to each other. However, other applications may be envisioned, and existing applications may be optimized, with alternate load configurations. The alternate load configuration to be explored in this work is the application of bi-axial compressive stresses. This configuration could be used in actuation or power harvesting applications. A constitutive model, proposed by LaMaster et al. 1, is simplified and used to predict the response of the material under bi-axial compressive stresses. Model predictions are compared with experimental data from the literature.

Original languageEnglish (US)
Title of host publicationASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2014
PublisherWeb Portal ASME (American Society of Mechanical Engineers)
ISBN (Electronic)9780791846155
DOIs
StatePublished - Jan 1 2014
EventASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2014 - Newport, United States
Duration: Sep 8 2014Sep 10 2014

Publication series

NameASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2014
Volume2

Other

OtherASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2014
CountryUnited States
CityNewport
Period9/8/149/10/14

Keywords

  • Bi-axial mechanical loading
  • Constitutive model
  • Magnetic shape memory alloy

ASJC Scopus subject areas

  • Biomaterials
  • Civil and Structural Engineering

Fingerprint Dive into the research topics of 'Predictions of MSMA response under bi-axial mechanical loading'. Together they form a unique fingerprint.

  • Cite this

    Dikes, J. L., Feigenbaum, H. P., & Ciocanel, C. (2014). Predictions of MSMA response under bi-axial mechanical loading. In ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2014 (ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2014; Vol. 2). Web Portal ASME (American Society of Mechanical Engineers). https://doi.org/10.1115/SMASIS20147659