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Fluids
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Multiphase Flow for Industry Applications, 2nd Edition
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Multiphase Flow for Industry Applications, 2nd Edition

A special issue of Fluids (ISSN 2311-5521). This special issue belongs to the section "Flow of Multi-Phase Fluids and Granular Materials".

Deadline for manuscript submissions: 30 April 2026 | Viewed by 821

Special Issue Editors

Dr. Faik Hamad

E-Mail Website
Guest Editor
School of Computing, Engineering, and Digital Technology, Teesside University, Middlesbrough TS1 3BX, UK
Interests: multiphase flow; microbubble technology; heat transfer; aerodynamics; thermal energy storage
Special Issues, Collections and Topics in MDPI journals
Dr. Priscilla Ribeiro Varges

E-Mail Website
Guest Editor
Department of Mechanical Engineering, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro 22541, Brazil
Interests: complex materials; active drag reduction; interfacial dynamics; polymer solutions
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue of Fluids aims to highlight the latest developments, challenges, and innovative solutions in the multidisciplinary field of multiphase flow within industrial applications. Multiphase flow refers to the simultaneous flow of two or more phases (such as gas, liquid, or solid) within a system, and it plays a crucial role in various industries, including oil and gas, chemical engineering, pharmaceuticals, power generation, food manufacturing, and environmental engineering. Efforts to understand and optimize multiphase flow phenomena are essential for improving efficiency, safety, and sustainability in industrial processes.

We invite researchers, academics, and industry professionals to contribute original research articles, review papers, and case studies, highlighting diverse aspects of multiphase flow in industrial applications through experimental, numerical, or theoretical analyses.

The scope includes the following aspects:

  • Flow behavior and dynamics;
  • Flow measurement and instrumentation;
  • Modeling and simulation;
  • Flow regime transition and phase change;
  • Flow control and optimization;
  • Fluid–particle interactions;
  • Multiphase flow and heat transfer;
  • Multiphase flow challenges in emerging technologies;
  • Multiphase flow and industrial case studies.

Dr. Faik Hamad
Dr. Priscilla Ribeiro Varges
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fluids is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • multiphase flow
  • flow dynamics
  • flow measurement
  • mass transfer
  • heat transfer
  • rheology
  • mixing
  • interfaces flow regime

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Related Special Issue

Published Papers (1 paper)

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Research

32 pages, 5680 KB  
Article
A Unified Drift–Flux Framework for Predictive Analysis of Flow Patterns and Void Fractions in Vertical Gas Lift Systems
by Omid Heydari, Sohrab Zendehboudi and Stephen Butt
Fluids 2026, 11(1), 6; https://doi.org/10.3390/fluids11010006 - 26 Dec 2025
Viewed by 503
Abstract
This study utilizes the drift–flux model to develop a new flow pattern map designed to facilitate an accurate estimation of gas void fraction (αg) in vertical upward flow. The map is parameterized by mixture velocity (um) and [...] Read more.
This study utilizes the drift–flux model to develop a new flow pattern map designed to facilitate an accurate estimation of gas void fraction (αg) in vertical upward flow. The map is parameterized by mixture velocity (um) and gas volumetric quality (βg), integrating transition criteria from the established literature. For applications characterized by significant pressure gradients, such as gas lift, these criteria were reformulated as functions of pressure, enabling direct estimation from operational data. A critical component of this methodology for the estimation of αg is the estimation of the distribution parameter (C0). An analysis of experimental data, spanning pipe diameters from 1.27 to 15 cm across the full void fraction ranges (0<αg<1), reveals a critical αg threshold beyond which C0 exhibits a distinct decreasing trend. To characterize this phenomenon, the parameter of the distribution-weighted void fraction (αc=αgC0) is introduced. This parameter, representing the dynamically effective void fraction, identifies the critical threshold at its inflection point. The proposed model subsequently defines C0 using a two-part function of αc. This generalized approach simplifies the complexity inherent in existing correlations and demonstrates superior predictive accuracy, reducing the average error in αg estimations to 5.4% and outperforming established methods. Furthermore, the model’s parametric architecture is explicitly designed to support the optimization and fine-tuning of coefficients, enabling future use of machine learning for various fluids and complex industrial cases. Full article
(This article belongs to the Special Issue Multiphase Flow for Industry Applications, 2nd Edition)
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