TY - GEN
T1 - The challenges of modeling magnetic shape memory alloys under complex load paths
AU - Waldauer, Alex B.
AU - Feigenbaum, Heidi P.
AU - Ciocanel, Constantin
PY - 2010
Y1 - 2010
N2 - Kiefer and Lagoudas proposed a thermodynamic model for predicting the magneto-mechanical behavior of magnetic shape memory alloys (MSMAs) and then confirmed their model experimentally [1]. The model was calibrated by placing the test specimen under a constant magnetic field and a varying compressive stress. Later, Feigenbaum and Ciocanel [2] used the model to predict behavior under a constant compressive stress and a varying magnetic field. Because the two experiments were done by different researchers on different specimens, the calibration gave different values for material paremeters. In this work, through experimental results from tests performed on the same specimen by the same researchers, the Kiefer and Lagoudas model, with any hardening function, will be shown to be unable to be calibrated so as to accurately predict the magneto-mechanical behavior of a specimen under both types of loading conditions.
AB - Kiefer and Lagoudas proposed a thermodynamic model for predicting the magneto-mechanical behavior of magnetic shape memory alloys (MSMAs) and then confirmed their model experimentally [1]. The model was calibrated by placing the test specimen under a constant magnetic field and a varying compressive stress. Later, Feigenbaum and Ciocanel [2] used the model to predict behavior under a constant compressive stress and a varying magnetic field. Because the two experiments were done by different researchers on different specimens, the calibration gave different values for material paremeters. In this work, through experimental results from tests performed on the same specimen by the same researchers, the Kiefer and Lagoudas model, with any hardening function, will be shown to be unable to be calibrated so as to accurately predict the magneto-mechanical behavior of a specimen under both types of loading conditions.
UR - http://www.scopus.com/inward/record.url?scp=84859546616&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84859546616&partnerID=8YFLogxK
U2 - 10.1115/smasis2010-3654
DO - 10.1115/smasis2010-3654
M3 - Conference contribution
AN - SCOPUS:84859546616
SN - 9780791844151
T3 - ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2010
SP - 49
EP - 55
BT - ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2010
PB - American Society of Mechanical Engineers
T2 - ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2010
Y2 - 28 September 2010 through 1 October 2010
ER -