4.7 Article

Sand erosion prediction models for two-phase flow pipe bends and their application in gas-liquid-solid multiphase flow erosion

期刊

POWDER TECHNOLOGY
卷 421, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.powtec.2023.118421

关键词

Sand erosion; Erosion prediction; Multiphase flow; Pipe bend; CFD simulation

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In this study, the influence of fluid factor, solid particle factor, and pipe size factor on the sand erosion rate of two-phase flow pipe bend in the petrochemical industry was investigated using the computational fluid dynamics (CFD) method. The effects of different factors on the erosion rate and the prediction models of the maximum erosion rate were obtained through grey correlation analysis and data fitting method. The comparison between experimental data and prediction models demonstrated good agreement. The prediction accuracy and adaptability of the two-phase flow erosion rate prediction models under gas-liquid-solid multiphase flow erosion conditions were also analyzed. This study provides ideas and prediction methods for sand erosion prediction in gas-liquid-solid multiphase flow pipelines.
In the field of petrochemical industry, the pipe bend of pipeline transportation system is very vulnerable to the sand particle erosion. In this paper, the influence of fluid factor, solid particle factor and pipe size factor on the sand erosion rate of two-phase flow pipe bend is studied by using the fluid computational dynamics (CFD) method. The influence degree of different factors on the erosion rate and the prediction models of the maximum erosion rate are obtained by using grey correlation analysis and data fitting method. The comparison between the experimental data and the prediction models shows that the prediction results agree well with the experimental data. Furthermore, the two-phase flow erosion rate prediction models are applied to the gas-liquid-solid multiphase flow erosion conditions, and their prediction accuracy and adaptability are analyzed. This study can provide ideas and prediction methods for sand erosion prediction in gas-liquid-solid multiphase flow pipeline.

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