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SMA Calculator

Shape Memory Alloy (SMA) Calculator

Compute transformation temperatures (Ms/Mf/As/Af), Clausius-Clapeyron slope, maximum recovery strain, and hysteresis width. Material presets for NiTi, Cu-Zn-Al, and Fe-Mn-Si alloys with interactive temperature–strain hysteresis visualization.

Material Preset
Transformation Temperatures [°C]
Ms (Martensite start)
°C
Mf (Martensite finish)
°C
As (Austenite start)
°C
Af (Austenite finish)
°C
Mechanical Parameters
Clausius-Clapeyron slope [MPa/°C]
MPa/°C
Max recovery strain εmax [%]
%
Austenite modulus [GPa]
GPa
Martensite modulus [GPa]
GPa
Results
Hysteresis ΔT [°C]
Transform. stress σ* [MPa]
Max recovery strain [%]
Work density [MJ/m³]
Hyst
▲ Temperature–Strain Hysteresis Loop (Cooling ↓ / Heating ↑)
Theory & Key Formulas

Clausius-Clapeyron relation (stress-induced transformation):

$$\frac{d\sigma}{dT}= -\frac{\rho \cdot \Delta H}{\varepsilon_L \cdot T_0}$$

Transformation temperature shift: $T_s(\sigma) = T_s^0 + \sigma / (d\sigma/dT)$

Recovery stress (fully constrained):

$$\sigma_{rec}= E_A \cdot \varepsilon_L \cdot \left(1 - \frac{T - A_s}{A_f - A_s}\right)$$

Work output density: $W = \frac{1}{2}\sigma^* \cdot \varepsilon_L$

▲ Clausius-Clapeyron: Stress vs Transformation Temperature Shift
CAE Note SMA behavior is modeled in ANSYS using the Shape Memory Alloy material model (TB,SMA) and in ABAQUS via the Superelastic/Shape Memory constitutive model. Used in FEM simulation of medical stents, seismic energy dissipators, and aerospace morphing structures.

What is a Shape Memory Alloy?

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What exactly is a "shape memory" alloy? It sounds like metal that can remember a shape, but how does that work in practice?
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Basically, it's a smart material that can return to a pre-defined shape when heated. In practice, this happens because of a solid-state phase change between two crystal structures: a low-temperature, deformable Martensite phase and a high-temperature, rigid Austenite phase. Try moving the `Af` (Austenite finish) slider in the simulator above. That's the temperature above which the alloy is fully Austenite and has recovered its "memorized" shape.
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Wait, really? So if I bend it cold and then heat it up, it just snaps back? What about the four different temperatures (Ms, Mf, As, Af) in the tool?
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Exactly! The transformation isn't instantaneous; it happens over a temperature range. That's why we need four key points. Ms and Mf are where Martensite starts and finishes forming upon cooling. As and Af are where Austenite starts and finishes forming upon heating. A common case is a NiTi (Nitinol) wire used in braces: it's set to a straight shape (Austenite), bends in your mouth (Martensite), and then slowly applies gentle force as body heat warms it back toward Austenite.
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That's cool! But the tool also has a "Clausius-Clapeyron slope" and "recovery stress". How does stress fit into this? Can I use it as an actuator?
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Great question! Yes, SMAs are fantastic actuators. Applying stress can also induce the phase change, even at a constant temperature. The Clausius-Clapeyron slope (dσ/dT) tells you how much the transformation stress increases per degree of cooling. In the simulator, increase that slope and see how the calculated recovery stress changes. This relationship is key for designing devices like a thermal actuator that lifts a weight when a hot fluid flows past it.

Physical Model & Key Equations

The core relationship for stress-induced transformation is given by the Clausius-Clapeyron equation. It links the critical transformation stress to temperature.

$$\frac{d\sigma}{dT}= -\frac{\rho \cdot \Delta H}{\varepsilon_L \cdot T_0}$$

Where:
$d\sigma/dT$ is the Clausius-Clapeyron slope [MPa/°C] (a key input in the simulator).
$\rho$ is material density.
$\Delta H$ is the latent heat of transformation.
$\varepsilon_L$ is the maximum transformation strain (εmax in the tool).
$T_0$ is the equilibrium temperature (often near $(M_s + A_f)/2$).

For engineering design, a simplified linear model is often used to estimate the recovery stress generated when a constrained SMA is heated. This depends on the Austenite modulus and the transformation strain.

$$\sigma_{rec}= E_A \cdot \varepsilon_L \cdot \left(1 - \frac{T - A_s}{A_f - A_s}\right) \quad \text{for }A_s \leq T \leq A_f$$

Where:
$\sigma_{rec}$ is the recovery stress [MPa].
$E_A$ is the Austenite modulus [GPa] (an input parameter).
$\varepsilon_L$ is the max recovery strain.
$T$ is the current temperature, bounded between the Austenite start ($A_s$) and finish ($A_f$) temperatures.

Real-World Applications

Medical Stents and Guidewires: Nitinol stents are compressed (Martensite), inserted into a blood vessel via catheter, and then body heat causes them to expand to their memorized shape (Austenite), opening the vessel. Their superelasticity at body temperature also allows them to flex with vessel movements without permanent deformation.

Aerospace Morphing Structures: SMA wires or patches are integrated into wings or inlets. By electrically heating specific wires, the structure can change shape (e.g., bend a wingtip, alter an inlet geometry) to optimize performance for different flight regimes, replacing heavy hydraulic actuators.

Seismic and Vibration Dampers: In civil engineering, SMA braces or tendons are used in buildings and bridges. During an earthquake, the material undergoes a phase transformation that dissipates seismic energy while recentering the structure due to its shape memory effect, reducing permanent deformation.

Consumer Electronics and Robotics: SMAs are used as compact, silent actuators. A common case is the auto-focus mechanism in some smartphone cameras, where a tiny SMA wire contracts when heated by an electric current, moving the lens. They are also found in robotic grippers for delicate objects.

Common Misconceptions and Points to Note

First, the misconception that "transformation temperatures are absolute, intrinsic material properties." In reality, even for the same NiTi alloy, the Ms and Af points can vary by tens of degrees Celsius depending on its heat treatment or cold working history. The simulator's preset values are "guidelines," and it is essential to verify them against actual material datasheets or your own measured values. For example, while the NiTi preset Af might be 52°C, it's not uncommon for actual wires to have a variation between 45°C and 60°C.

Next, treating the Clausius-Clapeyron slope and the maximum recovery strain as independent parameters. As shown in the earlier equations, these are linked by the material's fundamental properties (ΔH, ε_L). While you can input them separately in the simulator, in real-world material development, trade-offs frequently occur—for instance, "changing the alloy composition to increase the slope resulted in a smaller recovery strain." Discerning this balance is key to design.

Finally, overlooking the calculated "hysteresis width." This energy loss occurring during the forward and reverse transformation paths directly relates to heat generation and operational response speed. If high-speed actuation is required, a material with a hysteresis width as large as 30°C may generate excessive heat and be impractical. For instance, precision robot joints demand narrow-hysteresis SMAs with widths below 10°C. Try increasing the width in the simulator to observe how the heating/cooling loop opens up significantly, and visualize its impact.