The microstructure evolution and mechanism of the heat-affected layer of nickel-titanium shape memory alloy (NiTi SMA) during low-speed wire electrical discharge machining (WEDM-LS) are investigated by integrating the finite element method and the cellular automata (CA) method. First, an accurate single-pulse discharge heat source model is established to simulate the distribution of temperature, stress and strain fields on the workpiece surface under different electrical parameters. Then, the dynamic recrystallization (DRX) and thermoelastic martensitic transformation of NiTi SMA during machining are simulated using the CA method. Furthermore, WEDM-LS machining experiments and metallographic analysis are conducted to validate the reliability of the simulation results. The findings reveal that DRX of austenite grains in the heat-affected layer contributes to grain refinement on the workpiece surface. The result shows that increasing the peak current from 8A to 12A enhances the DRX fraction from 9.3% to 20.9% while reducing the average grain size from 47.2 μm to 44.5 μm. In contrast, extending the pulse width from 9 μs to 15 μs decreases the DRX fraction from 9.3% to 6.3% and increases the grain size from 47.2 μm to 48.2 μm, indicating that peak current has a more pronounced effect on DRX than pulse width. Additionally, under the cooling effect of deionized water, when the workpiece surface temperature falls below the martensitic transformation start temperature (M_s), martensitic nucleation and growth occur at the austenite grain boundaries. The proposed prediction model accurately characterizes the influence of machining parameters on microstructural evolution, providing theoretical guidance for optimizing WEDM-LS processing of NiTi SMA.
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