Numerical Prediction of Solid Particle Erosion in Jet Pumps Based on a Calibrated Model

Jet pumps are widely used in petrochemical processes, nuclear cooling, and wastewater treatment due to their simple structure, high reliability, and stable performance under extreme conditions. However, when transporting solid-laden two-phase flows, they face severe erosion problems, leading to redu...

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Main Authors: Xuanchen Wan, Mengxue Dong, Maosen Xu, Chuanhao Fan, Jiegang Mou, Shuai Han
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Energies
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Online Access:https://www.mdpi.com/1996-1073/17/22/5720
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author Xuanchen Wan
Mengxue Dong
Maosen Xu
Chuanhao Fan
Jiegang Mou
Shuai Han
author_facet Xuanchen Wan
Mengxue Dong
Maosen Xu
Chuanhao Fan
Jiegang Mou
Shuai Han
author_sort Xuanchen Wan
collection DOAJ
description Jet pumps are widely used in petrochemical processes, nuclear cooling, and wastewater treatment due to their simple structure, high reliability, and stable performance under extreme conditions. However, when transporting solid-laden two-phase flows, they face severe erosion problems, leading to reduced efficiency, malfunctions, or even failure. Therefore, optimizing jet pump performance and extending its service life is crucial. In this study, an experimental platform was established to conduct experiments on wall erosion in jet pumps. The CFD-DEM method was used to simulate the solid–liquid two-phase flow in the jet pump, comparing six erosion models for predicting erosion rates. The Grey Wolf Optimization algorithm was applied to calibrate model coefficients. The results indicate that the Neilson erosion model shows the best consistency with the experimental results. The inlet flow rate significantly influenced the erosion rates, while the flow rate ratio had a smaller effect. The particle concentration exhibited a nonlinear relationship with erosion, with diminishing impact beyond a certain threshold. As the factors varied, the erosion distribution tended to be uniform, but high erosion areas remained locally concentrated, indicating intensified localized erosion.
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publisher MDPI AG
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series Energies
spelling doaj-art-140811561c8f46cfa3a519874e08fb632025-08-20T01:53:45ZengMDPI AGEnergies1996-10732024-11-011722572010.3390/en17225720Numerical Prediction of Solid Particle Erosion in Jet Pumps Based on a Calibrated ModelXuanchen Wan0Mengxue Dong1Maosen Xu2Chuanhao Fan3Jiegang Mou4Shuai Han5College of Metrology Measurement and Instrument, China Jiliang University, Hangzhou 310018, ChinaCollege of Metrology Measurement and Instrument, China Jiliang University, Hangzhou 310018, ChinaCollege of Metrology Measurement and Instrument, China Jiliang University, Hangzhou 310018, ChinaCollege of Metrology Measurement and Instrument, China Jiliang University, Hangzhou 310018, ChinaCollege of Metrology Measurement and Instrument, China Jiliang University, Hangzhou 310018, ChinaHuaneng Wuhan Power Generation Co., Ltd., Wuhan 430400, ChinaJet pumps are widely used in petrochemical processes, nuclear cooling, and wastewater treatment due to their simple structure, high reliability, and stable performance under extreme conditions. However, when transporting solid-laden two-phase flows, they face severe erosion problems, leading to reduced efficiency, malfunctions, or even failure. Therefore, optimizing jet pump performance and extending its service life is crucial. In this study, an experimental platform was established to conduct experiments on wall erosion in jet pumps. The CFD-DEM method was used to simulate the solid–liquid two-phase flow in the jet pump, comparing six erosion models for predicting erosion rates. The Grey Wolf Optimization algorithm was applied to calibrate model coefficients. The results indicate that the Neilson erosion model shows the best consistency with the experimental results. The inlet flow rate significantly influenced the erosion rates, while the flow rate ratio had a smaller effect. The particle concentration exhibited a nonlinear relationship with erosion, with diminishing impact beyond a certain threshold. As the factors varied, the erosion distribution tended to be uniform, but high erosion areas remained locally concentrated, indicating intensified localized erosion.https://www.mdpi.com/1996-1073/17/22/5720jet pumptwo-phase flow transportCFD-DEMerosion experimenterosion numerical predictionparameter calibration
spellingShingle Xuanchen Wan
Mengxue Dong
Maosen Xu
Chuanhao Fan
Jiegang Mou
Shuai Han
Numerical Prediction of Solid Particle Erosion in Jet Pumps Based on a Calibrated Model
Energies
jet pump
two-phase flow transport
CFD-DEM
erosion experiment
erosion numerical prediction
parameter calibration
title Numerical Prediction of Solid Particle Erosion in Jet Pumps Based on a Calibrated Model
title_full Numerical Prediction of Solid Particle Erosion in Jet Pumps Based on a Calibrated Model
title_fullStr Numerical Prediction of Solid Particle Erosion in Jet Pumps Based on a Calibrated Model
title_full_unstemmed Numerical Prediction of Solid Particle Erosion in Jet Pumps Based on a Calibrated Model
title_short Numerical Prediction of Solid Particle Erosion in Jet Pumps Based on a Calibrated Model
title_sort numerical prediction of solid particle erosion in jet pumps based on a calibrated model
topic jet pump
two-phase flow transport
CFD-DEM
erosion experiment
erosion numerical prediction
parameter calibration
url https://www.mdpi.com/1996-1073/17/22/5720
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AT maosenxu numericalpredictionofsolidparticleerosioninjetpumpsbasedonacalibratedmodel
AT chuanhaofan numericalpredictionofsolidparticleerosioninjetpumpsbasedonacalibratedmodel
AT jiegangmou numericalpredictionofsolidparticleerosioninjetpumpsbasedonacalibratedmodel
AT shuaihan numericalpredictionofsolidparticleerosioninjetpumpsbasedonacalibratedmodel