| Abstract Scope |
In new-generation manufacturing, intelligence, networking, and digitalization are prioritized in the worldwide agreement on decarbonization, green, and sustainable production. Particularly in analytics digitalized methodology, additive manufacturing (AM) enables intricate fabrication, decreased material waste, flexible design, and economic impact. With limitations such as anisotropic microstructure and properties, restrictions on material selection, defects, and high-cost metal AM still to be overcome, this research focuses on investigating the microstructure evolution, emphasizing texture and grain size based on processing parameters and affected multi-phase materials performance, such as elastic modulus and Poisson’s ratio. The authors developed the thermal model, considering heat transfer boundary and molten pool geometry. Then, the grain size is simulated with both the heating and cooling processes considered, including thermal stress, JMAK, and grain refinement. The texture is simulated via the CET model, thermal dynamics, and Bunge calculation. The self-consistency model acquires the properties with established texture distribution. Validation was accomplished. |