| Abstract Scope |
This paper first developed a physics-based analytical model to predict the multi-phase materials texture related to the 3D temperature distribution in LPBF, considering heat transfer boundary conditions. Then, the texture grown on a substrate with random grain orientations was analytically acquired, considering the CET. The correlation between texture and process parameters has been effectively established using CET models and thermodynamics. With applied advanced thermal models, the accuracy of the texture prediction is evaluated based on the comparison to experimental data from literature and past analytical 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 and lays the groundwork for future research on microstructure-affected or texture-affected materials’ properties, both in academic and industrial settings. The accuracy and reliability of the results delivered through this approach make it a valuable tool for further research and development. |