Shape Memory Alloy (SMA) Model

Category: Structural Analysis | Integrated 2026-04-06
CAE visualization for shape memory alloy theory - technical simulation diagram
Shape Memory Alloy (SMA) Model

Shape Memory Alloy (SMA): Theoretical Foundations

What are Shape Memory Alloys?

🙋

Professor, shape memory alloys (SMAs) are materials that return to their original shape even after deformation, right?


🎓

SMA (Shape Memory Alloy) is represented by NiTi (Nitinol). It exhibits two special behaviors:


1. Superelasticity (Superelasticity) — Even under large deformation (6-8% strain), it fully recovers upon unloading. Temperature is constant.

2. Shape Memory Effect — After deformation, heating causes recovery to the original shape. Phase transformation occurs with temperature change.


Phase Transformation

🎓

SMA characteristics originate from the martensite → austenite phase transformation:

  • High Temperature (Austenite) — Hard. Exhibits superelasticity.
  • Low Temperature (Martensite) — Soft. Heating returns it to austenite → shape recovery.

Modeling in FEM

🎓

Abaqus's *SUPERELASTIC (Superelastic SMA model). Models stress-induced martensitic transformation.


$$ \sigma = E_{A/M}(\varepsilon - \varepsilon^{tr}) $$

$\varepsilon^{tr}$ is the transformation strain. Stress-induced austenite → martensite transformation.


Summary

🎓
  • Superelasticity — Full recovery upon unloading even after large deformation. NiTi is representative.
  • Phase Transformation (Martensite ↔ Austenite) — Depends on temperature and stress.
  • Abaqus *SUPERELASTIC — Standard model for superelastic SMA.
  • Medical Devices (Stents), Aerospace (Actuators) — Main applications.

  • Coffee Break Yomoyama Talk

    Discovery of the Shape Memory Effect

    The shape memory effect of NiTi (Nitinol) alloy was accidentally discovered in 1963 by William Buehler and Frederick Wang at the US Naval Ordnance Laboratory (NOL). The alloy name "Nitinol" is derived from the initials of Nickel Titanium Naval Ordnance Laboratory. The phase transformation between martensite (low-temperature phase) and austenite (high-temperature phase) is the physical basis for shape memory and superelasticity.

    Computational Methods for Shape Memory Alloy (SMA)

    FEM Settings for SMA

    🎓

    ```

    *MATERIAL, NAME=NiTi

    *DEPVAR

    24,

    *USER MATERIAL, CONSTANTS=14

    $ Auricchio model parameters

    ```

    Or:

    ```

    *SUPERELASTIC

    sigma_SL, sigma_EL, sigma_SU, sigma_EU, epsilon_L, ...

    ```


    🙋

    So the superelastic hysteresis loop (different loading-unloading paths) is reproduced in FEM, right?


    🎓

    Yes. Loading causes stress-induced martensitic transformation → unloading causes reverse transformation to austenite. Hysteresis dissipates energy.


    Summary

    🎓
    • Abaqus *SUPERELASTIC — Superelastic SMA
    • Auricchio Model — The most widely used SMA constitutive model.
    • Hysteresis Loop — Energy dissipation. Application to vibration damping.

    • Coffee Break Yomoyama Talk

      Identification Experiments for the Brinson Constitutive Law

      The representative SMA constitutive law by Brinson (1993) requires 5-6 parameters: phase transformation start/finish stresses (σsAs, σfAs, σsMs, σfMs) and maximum transformation strain εL. The standard procedure is to identify transformation temperatures using DSC (Differential Scanning Calorimetry) and perform isothermal tensile tests at multiple temperatures to read transformation stresses from σ-ε curves.

      Shape Memory Alloy (SMA) in Practice

      SMA in Practice

      🎓
      • Cardiac Stents — NiTi superelasticity. Self-expands within blood vessels.
      • Orthodontic Wires — Moves teeth with low, constant stress.
      • Seismic Dampers — Absorbs energy through SMA hysteresis.
      • Aerospace Actuators — Changes shape with temperature change.

      • Practical Checklist

        🎓
        • [ ] Is it based on SMA stress-strain test data?
        • [ ] Are transformation start/finish stresses correct? (4 stresses for loading/unloading)
        • [ ] Is maximum transformation strain $\varepsilon_L$ correct? (NiTi: ~6-8%)
        • [ ] Is temperature dependence included? (Clausius-Clapeyron coefficient)
        • [ ] Is NLGEOM=YES set? (Large strain)

        • Coffee Break Yomoyama Talk

          Design Analysis of Intravascular Stents

          In designing coronary stents (diameter 3-4mm) made of Nitinol, FEA predicts the behavior where they transform to austenite at body temperature 37°C and expand the vessel wall with a force of about 0.3-0.5N. Combining Abaqus's *SUPERELASTIC keyword (Superelastic) with the Auricchio-Taylor model has been used as computational evidence for FDA 510(k) submissions since the 2010s.

          Shape Memory Alloy (SMA): Software & Solver Comparison

          SMA Tools

          🎓
          • Abaqus *SUPERELASTIC — Superelastic SMA. Auricchio model.
          • Ansys — SMA support (TB, SMA).
          • LS-DYNA — *MAT_SMA (limited).
          • COMSOL — Multiphysics (thermal-structural coupled SMA).

          • Selection Guide

            🎓
            • Medical Devices (Stents)Abaqus *SUPERELASTIC
            • Thermal-Structural Coupled SMA → COMSOL or Abaqus

            • Related Simulators

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              Related fields

              Thermal AnalysisManufacturing Process AnalysisV&V · Quality Assurance
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