Optimizing the design and performance of solid–liquid separators. (August 2020)

• Record Type: Journal Article
• Authors: Izadi, Mohsen; Makvand, Abbas Misaghe; Assareh, Ehsanolah; Parvaz, Farzad
• Is Part Of: International Journal of thermofluids. Volume 5/6(2020)
• Publication Date: 2020-08
• Subjects: Computational fluid dynamics (CFD) -- Hydrocyclone -- Liquid–solid separator -- Multiphase flow -- Reynolds stress model (RSM); Thermodynamics -- Periodicals; Fluid mechanics -- Periodicals; 532.005
• DOI: 10.1016/j.ijft.2020.100033
• Languages: English
• ISSNs: 2666-2027

Abstract

Abstract: This research sought to examine a solid-liquid cylindrical cyclone separator, using the CFD simulation technique. By simulating the multi-phase flow using the Eulerian–Eulerian approach, the SIMPLE Pressure-velocity coupling solution algorithm was considered to simultaneously perform the pressure and fluid velocity analysis. In this way, we discussed the impact of three different turbulence models (RNG (k-ε), Realizable (k-ε), and RSM) on the results of the simulation, aiming to select the best model with acceptable accuracy among these three models (RSM) to evaluate the two-phase (solid-liquid) flow hydrodynamics. In other words, the present study aimed to optimize the parameters affecting the hydrocyclone separation. For this purpose, in order to conduct a statistical study of the CFD model on hydrocyclone performance parameters, a fluid model was developed based on response surface methodology to simulate target parameters based on design parameters with a mathematical polynomial. Finally, the neural network method was used to analyze and solve the optimization problem.