Mass shedding rate of an isolated high-speed slug propagating in a pipeline

Huaicheng Fan, Qingzhi Hou (Corresponding author), Arris S. Tijsseling, Xinjian Sun, Jijian Lian

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

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Samenvatting

An isolated liquid slug in the pipeline can accelerate and achieve a high speed when subjected to a driving pressure. During the slug’s high-speed movement in a pipeline, part of the liquid will shed from it resulting in changes in the slug’s mass and length. To understand the mass shedding mechanism, the mass shedding rate is studied using three-dimensional computational-fluid-dynamics methodology, in which the volume-of-fluid technique is applied to track the water–air interface and the RNG (Formula presented.) model is used to describe the turbulence. The effects of driving pressure, initial slug length, pipe inclination angle, pipe wall roughness and gravity on the slug mass shedding rate are investigated. The results show that the slug mass shedding rate is independent of driving pressure, initial slug length, pipe inclination angle and gravity, and it increases as a power function with the increase in wall roughness. It is explained from the mass shedding rate that when the slug’s traveled distance exceeds six times the initial slug length, the slug will break up. This paper solves the problem that there is no standard to select a reliable mass shedding rate for modeling the isolated high-speed slug propagating in pipelines. Highlights: Simulate the movement of an isolated liquid slug propelled by pressurized air with 3D CFD model. Propose a model for calculating the slug mass shedding rate. Study three influence factors of the slug mass shedding rate.

Originele taal-2Engels
Artikelnummer2303372
Aantal pagina's12
TijdschriftEngineering Applications of Computational Fluid Mechanics
Volume18
Nummer van het tijdschrift1
DOI's
StatusGepubliceerd - 24 jan. 2024

Bibliografische nota

Publisher Copyright:
© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Financiering

This research was funded by the Basic Research Program of Qinghai Province [grant number 2022-ZJ-704], and the National Natural Science Foundation of China [grant number 52079090]. The licenses for ICEM and FLUENT software have been authorized by Tianjin University. CRediT authorship contribution statement: All authors have read and approved the final manuscript. Huaicheng Fan: Investigation, Resources, Writing–original draft; Qingzhi Hou: Conceptualization, Project administration, Writing–review and editing; Arris S. Tijsseling: Resources, Writing–review and editing; Xinjian Sun: Data acquisition; Jijian Lian: Investigation and Supervision.

FinanciersFinanciernummer
National Natural Science Foundation of China52079090
Tianjin University

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