Analysis and Optimisation of Cyclone Separators Geometry Using RANS and LES Methodologies

Abstract

The flow field pattern and gas cyclone performance have been investigated using both RANS and LES methodologies. The solid phase has been simulated using the one-way coupling approach. Both the RSM model and LES can be used efficiently to simulate the main features flow field pattern and estimate the performance. However, when looking at the flow details, LES can more accurately capture the unsteady flow phenomena of the highly swirling flow. Two different optimisation techniques have been applied (namely, the Nelder-Mead and the genetic algorithms) to obtain the cyclone geometry for minimum pressure drop. Two sources of data for the objective function have been used, mathematical models and experimental data. Starting from a Stairmand design an improved cyclone geometry is found using seven geometrical design variables. A CFD comparison between the original design and the new design has been performed. The simulations confirm the superior performance of the new design.