The reflection in CFD calculations of influence of mass loading on the separation efficiency in a centrifugal separator

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Arkadiusz Kępa
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引用次数: 0

Abstract

The multiphase flows modelling, including computational fluid dynamics (CFD), is extremely difficult due to the complexity of the phenomena and the influence of a large number of factors. The main purpose of this work is to show how the available models can help to reproduce a simple two-phase flow. In the presented work, using one of the commercial CFD programs, a new flat centrifugal separator design was investigated. The separator consists of a circle with a diameter of 0.2 m and two tangential channels (inlet and outlet). An outlet channel was divided into two separate ones additionally. Simulations were carried out for solid mass flow rate from 0.001 to 0.5 kg/s and for two particle sizes—1 and 30 µm. The performed calculations showed that two-way coupling can correctly reflect the improvement of the particle separation efficiency with the increase in the mass loading. The calculated total separation efficiency increased by approximately four percentage points and resulted from better retention of finer particles.

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来源期刊
Computational Particle Mechanics
Computational Particle Mechanics Mathematics-Computational Mathematics
CiteScore
5.70
自引率
9.10%
发文量
75
期刊介绍: GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research. SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including: (a) Particles as a physical unit in granular media, particulate flows, plasmas, swarms, etc., (b) Particles representing material phases in continua at the meso-, micro-and nano-scale and (c) Particles as a discretization unit in continua and discontinua in numerical methods such as Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.
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