TY - GEN
T1 - Predictions of MSMA response under bi-axial mechanical loading
AU - Dikes, Jason L.
AU - Feigenbaum, Heidi P.
AU - Ciocanel, Constantin
N1 - Publisher Copyright:
© 2014 by ASME.
Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Bi-axial mechanical loading
KW - Constitutive model
KW - Magnetic shape memory alloy
UR - http://www.scopus.com/inward/record.url?scp=84920067693&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84920067693&partnerID=8YFLogxK
U2 - 10.1115/SMASIS20147659
DO - 10.1115/SMASIS20147659
M3 - Conference contribution
AN - SCOPUS:84920067693
T3 - ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2014
BT - ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2014
PB - Web Portal ASME (American Society of Mechanical Engineers)
T2 - ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2014
Y2 - 8 September 2014 through 10 September 2014
ER -