The paper presents a new constitutive model for iron-based shape memory alloys (Fe-SMAs) adapted from the ZM model initially proposed for Nitinol by Zaki and Moumni [JMPS2007]. The model introduces nonlinear hardening terms to account for interactions between the grains, martensite variants and slip systems that may exist within a volume element of the material. The expressions used for the hardening terms are similar to those in (Khalil et al. [JIMSS2012]). The equations of the model are derived from the expression of a Helmholtz free energy potential, with complementary loading conditions obtained within the framework of generalized standard materials with internal constraints. A detailed derivation of the implicit algorithm used for the integration of the model is provided and used for numerical simulations that are shown to agree with experimental data.
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ASME 2015 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
September 21–23, 2015
Colorado Springs, Colorado, USA
Conference Sponsors:
- Aerospace Division
ISBN:
978-0-7918-5729-8
PROCEEDINGS PAPER
A Model for Iron-Based Shape Memory Alloys Considering Variable Elastic Stiffness and Coupling Between Plasticity and Phase Transformation
Cheikh Cisse,
Cheikh Cisse
Khalifa University, Abu Dhabi, UAE
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Tarak Ben Zineb
Tarak Ben Zineb
Université de Lorraine, Vandoeuvre-lès-Nancy, France
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Cheikh Cisse
Khalifa University, Abu Dhabi, UAE
Wael Zaki
Khalifa University, Abu Dhabi, UAE
Tarak Ben Zineb
Université de Lorraine, Vandoeuvre-lès-Nancy, France
Paper No:
SMASIS2015-8875, V001T03A012; 5 pages
Published Online:
January 11, 2016
Citation
Cisse, C, Zaki, W, & Ben Zineb, T. "A Model for Iron-Based Shape Memory Alloys Considering Variable Elastic Stiffness and Coupling Between Plasticity and Phase Transformation." Proceedings of the ASME 2015 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. Volume 1: Development and Characterization of Multifunctional Materials; Mechanics and Behavior of Active Materials; Modeling, Simulation and Control of Adaptive Systems. Colorado Springs, Colorado, USA. September 21–23, 2015. V001T03A012. ASME. https://doi.org/10.1115/SMASIS2015-8875
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