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 language | English (US) |
|---|---|
| Title of host publication | ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2014 |
| Publisher | Web Portal ASME (American Society of Mechanical Engineers) |
| Volume | 2 |
| ISBN (Print) | 9780791846155 |
| DOIs | |
| State | Published - 2014 |
| Event | ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2014 - Newport, United States Duration: Sep 8 2014 → Sep 10 2014 |
Other
| Other | ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2014 |
|---|---|
| Country | United States |
| City | Newport |
| Period | 9/8/14 → 9/10/14 |
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Keywords
- Bi-axial mechanical loading
- Constitutive model
- Magnetic shape memory alloy
ASJC Scopus subject areas
- Biomaterials
- Civil and Structural Engineering
Cite this
Predictions of MSMA response under bi-axial mechanical loading. / Dikes, Jason L.; Feigenbaum, Heidi P; Ciocanel, Constantin.
ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2014. Vol. 2 Web Portal ASME (American Society of Mechanical Engineers), 2014.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Predictions of MSMA response under bi-axial mechanical loading
AU - Dikes, Jason L.
AU - Feigenbaum, Heidi P
AU - Ciocanel, Constantin
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
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UR - http://www.scopus.com/inward/citedby.url?scp=84920067693&partnerID=8YFLogxK
U2 - 10.1115/SMASIS20147659
DO - 10.1115/SMASIS20147659
M3 - Conference contribution
SN - 9780791846155
VL - 2
BT - ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2014
PB - Web Portal ASME (American Society of Mechanical Engineers)
ER -