Optimizing the design and performance of solid–liquid separators

被引：0

作者：

Izadi M. ^{[1
]}

Makvand A.M. ^{[2
]}

Assareh E. ^{[2
]}

Parvaz F. ^{[3
]}

机构：

[1] Mechanical Engineering Department, Faculty of Engineering, Lorestan University, P.O. Box 68151-44316, Khorramabad

[2] Department of Mechanical Engineering, Dezful Branch, Islamic Azad University, Dezful

[3] Department of Mechanical Engineering, Semnan University, P.O. Box 35131-191, Semnan

来源：

International Journal of Thermofluids | 2020年 / 5-6卷

关键词：

Computational fluid dynamics (CFD); Hydrocyclone; Liquid–solid separator; Multiphase flow; Reynolds stress model (RSM);

D O I：

10.1016/j.ijft.2020.100033

中图分类号：

学科分类号：

摘要：

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. © 2020

引用

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