LAPSE:2023.2542
Published Article
LAPSE:2023.2542
Research on the Prediction Method of the Areas of Fluorine Chemical Pipeline Susceptible to Erosion
Zhou Fang, Puan Shi, Junjie Fu, Ce Song, Jun Yuan, Jin Deng
February 21, 2023
Abstract
A prediction method applicable to erosion-prone areas of fluorine chemical pipelines is herein proposed. By summarizing the common working conditions in the fluorine chemical industry, a computational fluid dynamics (CFD) model for industrial pipelines is established, and three-dimensional numerical calculations of the flow field in the pipelines are carried out to analyze the characteristics of the hydrodynamic parameters and phase distribution in the flow field, as well as the erosion rate distribution in different areas of the pipelines. The areas in the pipeline that are susceptible to erosion are predicted based on the results. The method has universal applicability and has been applied in many large petrochemical companies. It achieves the function of predicting the areas of severe pipeline erosion in a scientifically sound manner. This paper also details the application of the method in a distillation oil and gas pipeline of a large oil and gas company in western China.
Keywords
Computational Fluid Dynamics, dangerous point, erosion, fluorine chemical industry
Suggested Citation
Fang Z, Shi P, Fu J, Song C, Yuan J, Deng J. Research on the Prediction Method of the Areas of Fluorine Chemical Pipeline Susceptible to Erosion. (2023). LAPSE:2023.2542
Author Affiliations
Fang Z: College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China [ORCID]
Shi P: College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China
Fu J: College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China
Song C: China Special Equipment Inspection and Research Institute (CSEI), Beijing 100029, China
Yuan J: China Special Equipment Inspection and Research Institute (CSEI), Beijing 100029, China
Deng J: China Special Equipment Inspection and Research Institute (CSEI), Beijing 100029, China
Journal Name
Processes
Volume
10
Issue
4
First Page
657
Year
2022
Publication Date
2022-03-28
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr10040657, Publication Type: Journal Article
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LAPSE:2023.2542
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https://doi.org/10.3390/pr10040657
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Feb 21, 2023
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