How Generative AI Transforms Supply Chain Management in Industry 4.0 ERA

Abstract

Two-phase flow implies to the simultaneous movement of two separate phases, such as gases-liquids, liquids-solids, or gases-solids depending on their applications in energy, oil and gas, and chemical processing. This includes slug, bubbling, churn, and mist flows, among others. These flows are modeled using techniques such as the Phase Field Approach, Finite Volume Method, and Euler-Euler model utilizing computational fluid dynamics (CFD) software, COMSOL Multiphysics. This study attempts to examine the laminar two-phase flow of Newtonian (water) and non Newtonian fluids (polymer using the Carreau model) in a cylinder. Specifically, the goal is to understand the velocity distribution, pressure profiles, and volume fraction distribution and the complicated relationships that exist between Newtonian and non Newtonian fluids in constrained geometries, relationships that are essential for the optimization of a variety of industrial processes.