Statistical modeling of microstructure evolution in a Ti-6Al-4V alloy during isothermal compression

A statistical continuum model is developed in the present study which uses microstructural information for a two-phase Ti-6Al-4V alloy to simulate microstructure evolution during hot isothermal compression. Current models of prediction often use finite element methods. However, here does not rely onfinite methods and thus can be performed much faster with less computational resources without sacrificing accuracy. This approach two-point statistics describe related phase distribution, grain size phase/grain morphology. formulation further utilizes macroscopic strain-rate tensor predict deformation. The deformation then used calculate resulting deformed microstructure. Finally, simulated compared that experimentally obtained from scanning electron micrograph backscatter mode i.e. SEM (BSE) images microstructures.