Mechanical Behavior of Shape-Memory Alloy Triply Periodic Minimal Surface Foam Based on Schwarz Primitive
Publication: Journal of Engineering Mechanics
Volume 148, Issue 9
Abstract
This work investigated the effective structural and functional behavior of shape-memory alloy (SMA)-based triply periodic minimal surface foams based on the Schwarz primitive (P-foams) using finite-element analysis (FEA) and numerical homogenization methods. The effect of relative density and applied temperature on the homogenized mechanical behavior of the SMA foam, including its superelasticity, and the evolution of the effective martensite volume fraction with the applied load was investigated considering axial and shear loading cases. In contrast to dense SMA, the effective martensite volume fraction in the considered foam was found to vary exponentially with the strain in the case of monotonic loading, asymptotically approaching 1 as the strain increased indefinitely. Moreover, the effective superelasticity of the SMA P-foam was found to be facilitated by decreased temperature and relative density. The onset of phase transformation for the P-foam under various loading scenarios was shown to be well approximated using an extended Hill loading surface.
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Data Availability Statement
All data that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
Dr. Wael Zaki acknowledges the financial support of Khalifa University of Science and Technology through Grant No. CIRA-2019-024.
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Information & Authors
Information
Published In
Journal of Engineering Mechanics
Volume 148 • Issue 9 • September 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Nov 15, 2021
Accepted: Apr 7, 2022
Published online: Jul 7, 2022
Published in print: Sep 1, 2022
Discussion open until: Dec 7, 2022
ASCE Technical Topics:
- Alloys
- Axial loads
- Design (by type)
- Engineering fundamentals
- Engineering materials (by type)
- Engineering mechanics
- Finite element method
- Foaming (material)
- Load factors
- Material mechanics
- Material properties
- Materials engineering
- Materials processing
- Mechanical properties
- Metals (material)
- Methodology (by type)
- Numerical methods
- Smart materials
- Static loads
- Statics (mechanics)
- Structural behavior
- Structural design
- Structural engineering
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Cited by
- Nguyen Van Viet, Waqas Waheed, Anas Alazzam, Wael Zaki, A Deep Artificial Neural Network Model for Predicting the Mechanical Behavior of Triply Periodic Minimal Surfaces under Damage Loading, Journal of Engineering Mechanics, 10.1061/JENMDT.EMENG-7511, 150, 7, (2024).
- Ali N. Alagha, Viet Nguyen, Wael Zaki, Effective phase transformation behavior of NiTi triply periodic minimal surface architectures, Journal of Intelligent Material Systems and Structures, 10.1177/1045389X221115704, (1045389X2211157), (2022).