Prediction of Inclusion Size Distributions in Steel Refining via a Coupled PBM–LBM Framework

Aim is to couple a population balance model (PBM) with a lattice Boltzmann method (LBM) solver to predict the evolution of inclusion size distributions in turbulent steel-refining flows. The LBM will deliver spatially and temporally resolved velocity, shear, and turbulence dissipation fields, which feed the PBM’s aggregation, breakage, growth, and removal kernels. The project involves heavy coding with C++/Python. Prof. Deepoo and Prof. Gururajan (MEMS department) will be guiding the project physical insights and experimental support.