Comparison of Characteristic Particle Velocities in Solid-Liquid Multiphase Flow in Elbow

Erosion is a micromechanical process in which materials are removed from the inner surface of a pipe or elbow due to repeated impact of particles in multiphase flow. Measurement of particle impact velocities that causes erosive wear is complex due to spatial distribution of particles in the flow. Co...

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Main Authors: Quamrul Mazumder, Ph.D., Venkat Teja Nallamothu, Graduate Research Assistant, Fardeen Mazumder, Undergraduate Research Assistant
Format: Article
Language:English
Published: Elsevier 2020-08-01
Series:International Journal of Thermofluids
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666202720300197
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spelling doaj-3097f3a68a974c0fb42e208c6b8072cf2020-11-25T03:56:57ZengElsevierInternational Journal of Thermofluids2666-20272020-08-015100032Comparison of Characteristic Particle Velocities in Solid-Liquid Multiphase Flow in ElbowQuamrul Mazumder, Ph.D.0Venkat Teja Nallamothu, Graduate Research Assistant1Fardeen Mazumder, Undergraduate Research Assistant2Corresponding author; Mechanical Engineering, University of Michigan-Flint, 303 East Kearsley Street, Flint, MI 48502, United StatesCo-author; Mechanical Engineering, University of Michigan-Flint, 303 East Kearsley Street, Flint, MI 48502, United StatesMechanical Engineering, University of Michigan-Flint, 303 East Kearsley Street, Flint, MI 48502, United StatesErosion is a micromechanical process in which materials are removed from the inner surface of a pipe or elbow due to repeated impact of particles in multiphase flow. Measurement of particle impact velocities that causes erosive wear is complex due to spatial distribution of particles in the flow. Computational Fluid Dynamics Analysis (CFD) has been used to analyze complex flow phenomenon and particle velocities to understand the erosion behavior. CFD analysis results require experimental validation for complex flow phenomenon. The objective of the study is to compare and validate particle velocities using computational and experimental methods. Computational fluid dynamics analysis was performed for multiphase flow through an elbow to compute the particle velocities inside the elbow. Experiments were also conducted to measure the particle velocities in the elbow using a particle image velocimetry (PIV) system with similar flow conditions. The particles used were 50-micronglass beads with 2% concentration in water that flows through a 25.4 mm elbow. The flow rates used in this study were 3.5, 4.5 and 5.5 Gallons Per Minute (GPM), that corresponds to 0.436, 0.581, and 0.685 m/s velocities. The particle velocity results from CFD and PIV methods were compared to develop a better understanding of the particle impact velocities that causes erosion. The CFD predicted velocities showed good agreement with the Experimental velocity data obtained from PIV method.http://www.sciencedirect.com/science/article/pii/S2666202720300197Computational fluid dynamicsParticle Image VelocimetryElbowMultiphase flowVelocity
collection DOAJ
language English
format Article
sources DOAJ
author Quamrul Mazumder, Ph.D.
Venkat Teja Nallamothu, Graduate Research Assistant
Fardeen Mazumder, Undergraduate Research Assistant
spellingShingle Quamrul Mazumder, Ph.D.
Venkat Teja Nallamothu, Graduate Research Assistant
Fardeen Mazumder, Undergraduate Research Assistant
Comparison of Characteristic Particle Velocities in Solid-Liquid Multiphase Flow in Elbow
International Journal of Thermofluids
Computational fluid dynamics
Particle Image Velocimetry
Elbow
Multiphase flow
Velocity
author_facet Quamrul Mazumder, Ph.D.
Venkat Teja Nallamothu, Graduate Research Assistant
Fardeen Mazumder, Undergraduate Research Assistant
author_sort Quamrul Mazumder, Ph.D.
title Comparison of Characteristic Particle Velocities in Solid-Liquid Multiphase Flow in Elbow
title_short Comparison of Characteristic Particle Velocities in Solid-Liquid Multiphase Flow in Elbow
title_full Comparison of Characteristic Particle Velocities in Solid-Liquid Multiphase Flow in Elbow
title_fullStr Comparison of Characteristic Particle Velocities in Solid-Liquid Multiphase Flow in Elbow
title_full_unstemmed Comparison of Characteristic Particle Velocities in Solid-Liquid Multiphase Flow in Elbow
title_sort comparison of characteristic particle velocities in solid-liquid multiphase flow in elbow
publisher Elsevier
series International Journal of Thermofluids
issn 2666-2027
publishDate 2020-08-01
description Erosion is a micromechanical process in which materials are removed from the inner surface of a pipe or elbow due to repeated impact of particles in multiphase flow. Measurement of particle impact velocities that causes erosive wear is complex due to spatial distribution of particles in the flow. Computational Fluid Dynamics Analysis (CFD) has been used to analyze complex flow phenomenon and particle velocities to understand the erosion behavior. CFD analysis results require experimental validation for complex flow phenomenon. The objective of the study is to compare and validate particle velocities using computational and experimental methods. Computational fluid dynamics analysis was performed for multiphase flow through an elbow to compute the particle velocities inside the elbow. Experiments were also conducted to measure the particle velocities in the elbow using a particle image velocimetry (PIV) system with similar flow conditions. The particles used were 50-micronglass beads with 2% concentration in water that flows through a 25.4 mm elbow. The flow rates used in this study were 3.5, 4.5 and 5.5 Gallons Per Minute (GPM), that corresponds to 0.436, 0.581, and 0.685 m/s velocities. The particle velocity results from CFD and PIV methods were compared to develop a better understanding of the particle impact velocities that causes erosion. The CFD predicted velocities showed good agreement with the Experimental velocity data obtained from PIV method.
topic Computational fluid dynamics
Particle Image Velocimetry
Elbow
Multiphase flow
Velocity
url http://www.sciencedirect.com/science/article/pii/S2666202720300197
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