Journal article
Finite state machine-based modeling of shape memory alloy actuators: A multi-physics approach for predicting thermo-mechanical behavior and hysteresis
Sensors and actuators. A. Physical, Vol.394, 116990
11/01/2025
DOI: 10.1016/j.sna.2025.116990
Abstract
This study introduces a novel multi-physics one-dimensional simulation framework for shape memory alloy (SMA) wire actuators, addressing their complex electro-thermo-mechanical coupling and hysteretic behavior. By integrating a constitutive model based on Brinson’s formulation with a Finite State Machine (FSM) methodology, the framework captures the path-dependent phase transformations inherent to SMAs under different loading scenarios. The FSM approach simplifies system representation and enhances scalability, enabling efficient real-time simulations and control strategies. Experimental validations were carried out using NiTi SMA wires under various thermo-mechanical loading conditions, with results highlighting the ability of the model to predict stress-strain-temperature responses and hysteresis effects even under partial transformation cycling. The proposed FSM-based formulation demonstrates high accuracy across varying configurations and loading paths, establishing it as a viable tool for SMA actuators thermomechanical performance prediction and control system integration.
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•A novel Finite State Machine (FSM)-based simulation framework for SMA actuators is proposed for the first time.•Modified Brinson equations for transformation kinetics improve accuracy in predicting SMA phase transformations.•FSM-based model captures SMA thermo-mechanical hysteresis and simulates full/partial crystallographic transformations.•Experimental validation confirms the accuracy of the model under diverse loading conditions and constraints, highlighting its potential as a real-time control tool.
Details
- Title: Subtitle
- Finite state machine-based modeling of shape memory alloy actuators: A multi-physics approach for predicting thermo-mechanical behavior and hysteresis
- Creators
- Elio Matteo Curcio - University of CalabriaEmanuele Sgambitterra - University of CalabriaCaterina Lamuta - University of IowaCarmine Maletta - University of CalabriaFabrizio Niccoli - University of Calabria
- Resource Type
- Journal article
- Publication Details
- Sensors and actuators. A. Physical, Vol.394, 116990
- DOI
- 10.1016/j.sna.2025.116990
- ISSN
- 0924-4247
- eISSN
- 1873-3069
- Publisher
- Elsevier B.V
- Grant note
- Italian Ministry of University and Research: ARS01_00882 Pon Ricerca e Competitivita: 2007/2013
This work was funded by the Italian Ministry of University and Research through the project "ARIA-Active Responsive Intelligent Aerodynamics" grant number ARS01_00882, within the program PON "R & I" 2014-2020. Tensile tests and IR full-field measurements were carried out in the "MaTeRiA Laboratory" (University of Calabria) , funded with "Pon Ricerca e Competitivita 2007/2013".
- Language
- English
- Date published
- 11/01/2025
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Mechanical Engineering
- Record Identifier
- 9984949227002771
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