A finite element model captures thermal effects and phase transformations in Ti6Al4V, indicating process optimization's importance.
The present study investigates a finite element model to simulate the thermal effects of high-energy-density surface treatments, such as laser surface treatment, on Ti6Al4V titanium alloy. Using a 3D conical Gaussian heat source, the model allows to predict molten pool geometry and remelting layers due to phase transformations. Validation with experimental laser treatment data confirms the model’s accuracy in capturing temperature-dependent welding characteristics. The research makes it possible to deepen the understanding of thermal behavior and phase evolution in Ti6Al4V, highlighting the critical role of process optimization in achieving desired microstructure and mechanical properties.
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M.S. Saffioti (2025) studied this question.
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