SMA Simulator: An Efficient Tool for Simulating the Partial Nonlinear Loading Cycles of Shape Memory Alloy Wire Actuators

Peter L. Bishay · MDPI AG · 2026

The SMA Simulator is a MATLAB tool designed to efficiently simulate the nonlinear behavior of Shape Memory Alloy wires under various loading conditions.

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Plain English summary

This paper introduces the SMA Simulator, a MATLAB application that simulates the complex behavior of Shape Memory Alloy (SMA) wires. The simulator accounts for nonlinear thermomechanical coupling, allowing users to visualize the material's response to mechanical and thermal loads in a 3D space.

Why this matters

Understanding the behavior of Shape Memory Alloys is crucial for their application in various fields, such as robotics and aerospace. The SMA Simulator provides a valuable tool for researchers and engineers to predict material behavior, which can lead to better designs and applications of these smart materials.

Key findings

  • The SMA Simulator effectively simulates nonlinear behavior of SMA wires.
  • It allows for plotting in a 3D stress–strain–temperature space.
  • Users can study various load–unload scenarios, including partial loading cycles.
  • The application minimizes computational time compared to traditional methods.
  • It helps in understanding shape memory and pseudoelastic effects.

What's new

The SMA Simulator offers a unique approach to simulating SMA behavior without extensive meshing, making it more efficient than traditional numerical methods.

Limitations

The abstract does not mention any specific limitations of the SMA Simulator or its applicability to real-world scenarios.

Commercial context

The tool is a simulation application and does not indicate commercial availability.

Publication

Publisher
MDPI AG
Publication date
March 26, 2026
Research type
Paper
License
https://creativecommons.org/licenses/by/4.0/

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Method note: Summaries and ratings on this page are generated by AI from the abstract only. Read the original paper for full context. · Model: gpt-4o-mini-2024-07-18