| Abstract Scope |
The primary aim of this investigation is to study the microstructural changes that affect material properties, such as elastic modulus and Poisson's ratio, and then how to search for the optimized processing parameters. To achieve this, the characterization of the microstructure of materials, mainly the surface/textures, grain size, and defects, if necessary, is of great importance. The texture and grain size simulation for multi-phase materials systems is conducted based on the modeling of processing by physical stimuli. The influence of defects on the material properties, texture, and grain size is also considered. Specifically, thermal dynamics, Bunge calculation, and the CET model initially simulate the texture. The visco-plastic self-consistency model gains the properties of the impacted materials after determining the texture distribution. Afterward, artificial intelligence is utilized to search for the optimized processing parameters or predict material properties so that this work could offer better instruction to natural industries. |