| Abstract Scope |
This paper first developed a physics-based analytical model to predict the texture of multi-phase materials related to the 3D temperature distribution in LPBF, considering boundary conditions, heat input using a point-moving heat source solution, and heat loss due to heat conduction, convection, and radiation. The texture grown on a substrate with random grain orientations was analytically acquired, considering the columnar-to-equiaxed transition (CET). The correlation between texture and process parameters has been effectively established using CET models and the second law of thermodynamics. Ti-6Al-4V was selected. With applied advanced thermal models, the accuracy of the texture prediction is evaluated based on the comparison to experimental data from literature and past model results, and higher accuracy is achieved. This study offers a quick and precise way of analyzing texture prediction in multi-phase mode for metallic materials. It lays the groundwork for future research on texture-affected materials' properties in academic and industrial settings. |