TY - GEN
T1 - The effect of numerical solution procedure on the simulation of shape memory alloy actuators
AU - Williams, Eric
AU - Tadesse, Yonas
AU - Priya, Shashank
AU - Hong, Dennis
PY - 2010
Y1 - 2010
N2 - The numerical simulation of shape memory alloy actuators requires the solution of the coupled thermo-mechanical, phase transformation, and constitutive relationship equations. Simulation results are highly affected by parametric values as well as modeling equations. Specifically, the martensite fraction affects the simulation results of the actuator significantly for various input excitation as fraction of martensite is often modeled with a switching function. Depending on the assumed model this may cause changes in other properties of the system. Therefore in this study, we investigate the modeling of NiTi shape memory alloy based on the available phenomenological models and study the effects of integration step, numerical solver parameters and code formulation in Matlab/SIMULINK. To emphasis on the numerical solving procedure a simple spring biased SMA actuator configuration is chosen. Simulation results from multiple available models are provided and discussed.
AB - The numerical simulation of shape memory alloy actuators requires the solution of the coupled thermo-mechanical, phase transformation, and constitutive relationship equations. Simulation results are highly affected by parametric values as well as modeling equations. Specifically, the martensite fraction affects the simulation results of the actuator significantly for various input excitation as fraction of martensite is often modeled with a switching function. Depending on the assumed model this may cause changes in other properties of the system. Therefore in this study, we investigate the modeling of NiTi shape memory alloy based on the available phenomenological models and study the effects of integration step, numerical solver parameters and code formulation in Matlab/SIMULINK. To emphasis on the numerical solving procedure a simple spring biased SMA actuator configuration is chosen. Simulation results from multiple available models are provided and discussed.
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U2 - 10.1115/smasis2010-3834
DO - 10.1115/smasis2010-3834
M3 - Conference contribution
AN - SCOPUS:84859546184
SN - 9780791844151
T3 - ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2010
SP - 627
EP - 635
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 -