A comparative analysis between population balance method and interfacial area transfer equation approaches for modeling gas–liquid two-phase flow in a vertical circular pipe

Abstract This review explores the population balance method (PBM) and the interfacial area transport equation (IATE) for modeling gas–liquid two-phase flow in vertical pipes. While both methods capture bubble dynamics, they differ in theoretical formulation and computational demands. PBM excels in handling complex coalescence and breakup mechanisms, making it particularly suited for non-Newtonian fluids and high-pressure conditions (up to 2 MPa). However, its computational intensity limits its applicability to large-scale systems. IATE, in contrast, offers an efficient framework for predicting interfacial dynamics and flow regime transitions, making it advantageous for large-scale industrial simulations. However, its empirical correlations remain constrained to air-water systems and moderate pressures (up to 0.6 MPa), limiting its accuracy in complex fluid environments. This review synthesizes these methods’ principles, strengths, and limitations and discusses the implications of choosing one method over another depending on specific application requirements. The comparative analysis emphasizes the need to select appropriate modeling techniques based on targeted operational goals, contributing to more efficient and safer design in engineering practices.

Authors

Publication Details

Journal
Experimental and Computational Multiphase Flow
Published
2026-04-29
DOI
https://doi.org/10.1007/s42757-025-0255-0
Primary Topic
Fluid Dynamics and Mixing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A comparative analysis between population balance method and interfacial area transfer equation approaches for modeling gas–liquid two-phase flow in a vertical circular pipe

Shahriar Mahmud, Yuanhang Chen
Experimental and Computational Multiphase Flow
Fluid Dynamics and Mixing
article

A comparative analysis between population balance method and interfacial area transfer equation approaches for modeling gas–liquid two-phase flow in a vertical circular pipe

Shahriar Mahmud, Yuanhang Chen
article en

Abstract

Abstract This review explores the population balance method (PBM) and the interfacial area transport equation (IATE) for modeling gas–liquid two-phase flow in vertical pipes. While both methods capture bubble dynamics, they differ in theoretical formulation and computational demands. PBM excels in handling complex coalescence and breakup mechanisms, making it particularly suited for non-Newtonian fluids and high-pressure conditions (up to 2 MPa). However, its computational intensity limits its applicability to large-scale systems. IATE, in contrast, offers an efficient framework for predicting interfacial dynamics and flow regime transitions, making it advantageous for large-scale industrial simulations. However, its empirical correlations remain constrained to air-water systems and moderate pressures (up to 0.6 MPa), limiting its accuracy in complex fluid environments. This review synthesizes these methods’ principles, strengths, and limitations and discusses the implications of choosing one method over another depending on specific application requirements. The comparative analysis emphasizes the need to select appropriate modeling techniques based on targeted operational goals, contributing to more efficient and safer design in engineering practices.

Experimental and Computational Multiphase Flow
Openalex Percentile: Top 11%
Fluid Dynamics and Mixing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.