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Processes
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Multifluid Computational Fluid Dynamic Simulation
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Multifluid Computational Fluid Dynamic Simulation

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".

Deadline for manuscript submissions: closed (20 August 2022) | Viewed by 11770

Special Issue Editor

Dr. Marco Colombo

E-Mail Website
Guest Editor
School of Chemical and Process Engineering, University of Leeds, Leeds, West Yorkshire, UK
Interests: multiphase flows; computational modelling; thermal hydraulics; boiling heat transfer

Special Issue Information

Dear Colleagues,

Multifluid computational models are a powerful tool, capable of handling the complex fluid dynamics and additional multiscale physical and transport processes (e.g., heat transfer, species transport, chemical reaction, biokinetics) often found in multiphase flows without impracticable computational times. Recently, the digitalisation and computational resources available have helped to exponentially grow the field of applicability of multifluid models and the number of sectors where technological advances essentially rely on the input from multiphase computational modelling.

In the multifluid approach, most of the physical scales are modelled, and research has come a long way in developing advanced models of the multiple interfacial transport and physical processes involved. Numerical algorithms have been constantly improved, and the coupling with modern machine learning techniques is growing at a fast pace. This Special Issue aims to showcase the current state of the art in multifield modelling of multiphase flows, providing a platform to disseminate the most recent modelling advances and inform future developments of the method. Of specific interest are the modelling of interfacial transport processes and low-carbon technological applications where multiphase flows are part of complex multiphysics environments in the process, manufacturing, and energy sectors.

Submission of original research and review articles covering the following topics is welcome:

  • Computational fluid dynamics of multiphase flows at the laboratory and equipment scale;
  • Closure models for interfacial transfer and turbulent transport processes;
  • Modelling of heat and mass transfer processes in multiphase flows;
  • Multifluid models of complex multiphysics technologies;
  • Coupling of multifluid models with machine learning and AI techniques;
  • High-fidelity simulations for multifluid model validation and physics-informed closure model development.

Dr. Marco Colombo
Guest Editor

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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Processes 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 2400 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

  • multifluid model
  • multiphase flows
  • computational fluid dynamics
  • computational modelling
  • interfacial transport modelling
  • heat and mass transfer
  • multiscale
  • multiphysics

Published Papers (4 papers)

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Research

22 pages, 42520 KiB  
Article
Application of Data Envelopment Analysis in the Ventilation and Cooling Efficiency Evaluation of Hot Development Headings
by Song Xin, Xuefei Han, Sasa Li, Yue Xiao and Wenyu Yang
Processes 2022, 10(7), 1375; https://doi.org/10.3390/pr10071375 - 14 Jul 2022
Cited by 3 | Viewed by 1170
Abstract
The thermal environment of the development headings in deep underground mines tends to be harsh. The design of a reliable auxiliary ventilation system is an important strategy to maintain the thermal environment and air quality in the workplace. Hence, it is of great [...] Read more.
The thermal environment of the development headings in deep underground mines tends to be harsh. The design of a reliable auxiliary ventilation system is an important strategy to maintain the thermal environment and air quality in the workplace. Hence, it is of great significance to comprehensively evaluate the effects of different air supply conditions and explore the optimal solution for the auxiliary ventilation system. In this study, cooling efficiency (CE) and ventilation efficiency (VE), which are the two most widely used indices for evaluating the ventilation in public places, were introduced into the field of underground mine ventilation. Numerical simulations of multiple air supply conditions were carried out to obtain the CE and VE, respectively. A data envelopment analysis model was used innovatively to evaluate and rank the efficiency of the different conditions. In the evaluation model, the air supply temperature and air supply velocity were the inputs, whereas CE and VE were the outputs. The preliminary results showed that cases with either the highest VE or highest CE alone may not actually indicate efficient air supply conditions. The optimum efficiency was determined to be at an air supply temperature difference of 6 °C. Thereafter, the air supply rate could be determined using the psychrometric chart based on the cooling and moisture loads. These results can provide theoretical guidance for optimizing air supply conditions and energy-saving control of mining ventilation and cooling systems. Full article
(This article belongs to the Special Issue Multifluid Computational Fluid Dynamic Simulation)
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17 pages, 3568 KiB  
Article
Predicting Mass Transfer in Liquid–Liquid Extraction Columns
by Alex Fells, Andrea De Santis, Marco Colombo, Daniel W. Theobald, Michael Fairweather, Frans Muller and Bruce Hanson
Processes 2022, 10(5), 968; https://doi.org/10.3390/pr10050968 - 12 May 2022
Cited by 8 | Viewed by 6368
Abstract
In this work, the GEneralised Multifluid Modelling Approach (GEMMA) is applied to the simulation of liquid–liquid extraction in a Rotating Disc Column (RDC) and a Pulsed Sieve-plate Extraction Column (PSEC). A mass transfer modelling methodology is developed, in which the multiphase flows, droplet [...] Read more.
In this work, the GEneralised Multifluid Modelling Approach (GEMMA) is applied to the simulation of liquid–liquid extraction in a Rotating Disc Column (RDC) and a Pulsed Sieve-plate Extraction Column (PSEC). A mass transfer modelling methodology is developed, in which the multiphase flows, droplet size distribution and dispersed phase holdup predicted with computational fluid dynamics are coupled to mass transfer correlations to predict the overall mass transfer. The numerical results for the stage-averaged dispersed phase holdup, Sauter mean droplet diameter and axial solute concentration in the RDC and PSEC agree with experimental observations. The proposed modelling method provides an accurate predictive tool for complex multiphase flows, such as those observed in intensified liquid–liquid extraction, and provides an alternative approach to column design using empirical correlations or pilot plant study. Full article
(This article belongs to the Special Issue Multifluid Computational Fluid Dynamic Simulation)
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18 pages, 3447 KiB  
Article
Prediction of Horizontal Gas–Liquid Segregated Flow Regimes with an All Flow Regime Multifluid Model
by Marco Colombo, Andrea De Santis, Bruce C. Hanson and Michael Fairweather
Processes 2022, 10(5), 920; https://doi.org/10.3390/pr10050920 - 6 May 2022
Cited by 6 | Viewed by 1802
Abstract
The generalized multifluid modelling approach (GEMMA) has been developed to handle the multiplicity of flow regimes and the coexistence of interfaces of largely different scales in multiphase flows. The solver, based on the OpenFOAM reactingEulerFoam family of solvers, adds interface resolving-like capabilities to [...] Read more.
The generalized multifluid modelling approach (GEMMA) has been developed to handle the multiplicity of flow regimes and the coexistence of interfaces of largely different scales in multiphase flows. The solver, based on the OpenFOAM reactingEulerFoam family of solvers, adds interface resolving-like capabilities to the multifluid solver in the cells occupied by large interfaces. In this paper, GEMMA is further developed to predict stratified and slug flow regimes in horizontal ducts. The suppression of the turbulence and the wall-like behaviour of large interfaces is modelled with an additional dissipation source. This enables an accurate prediction of the velocity and of the turbulence kinetic energy in a stratified channel flow and the capturing of the formation and the travel of liquid slugs in an annulus. Large interfaces are identified and tracked, not only in the smooth and wavy stratified regimes but also in the much more perturbed interfaces of liquid slugs. The present work confirms GEMMA to be a reliable approach to provide all flow regime modelling capabilities. Further development will be focused on large interface momentum-transfer modelling, responsible for the overestimation of the interfacial shear and the limited liquid excursion during slugs, and the extension to interface break-up and the entrainment of bubbles and droplets, to handle the entire range of regimes encountered in horizontal flows. Full article
(This article belongs to the Special Issue Multifluid Computational Fluid Dynamic Simulation)
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14 pages, 3099 KiB  
Article
Eulerian–Lagrangian–Eulerian Simulations of Two-Phase Minimum Quantity Lubrication Flow in Internal Drill Bit Channels
by Manuel Falcone, Lizoel Buss and Udo Fritsching
Processes 2022, 10(3), 600; https://doi.org/10.3390/pr10030600 - 19 Mar 2022
Cited by 4 | Viewed by 1749
Abstract
The goal of reducing oil consumption for lubrication of machining processes can be achieved by means of minimum quantity lubrication (MQL). In minimum quantity lubrication, the cutting fluid is a mixture of air and oil where only a small amount of the latter [...] Read more.
The goal of reducing oil consumption for lubrication of machining processes can be achieved by means of minimum quantity lubrication (MQL). In minimum quantity lubrication, the cutting fluid is a mixture of air and oil where only a small amount of the latter is added to the mixture. However, this reduced oil consumption must not be detrimental to the effectiveness of the machining process. In order to analyze the performance of minimum quantity lubrication, the two-phase fluid dynamics of the MQL dispersion fluid has to be investigated. In the present work, this two-phase flow for internal lubrication of a drilling process was studied by means of numerical modeling and simulation based on an Eulerian–Lagrangian–Eulerian (ELE) model. The Eulerian–Lagrangian–Eulerian model can properly describe the transition between the aerosol and wall liquid film two-phase flow. Attention was focused on the flow in the internal channels of a twist drill. A parametric study was carried out in order to disclose the effects of three different relevant parameters, namely the oil droplet diameter and the mass flow rate at the channel inlet and the drill bit rotational speed, on the MQL cutting fluid flow quality inside the drill bit channel and at the channel outlet. Full article
(This article belongs to the Special Issue Multifluid Computational Fluid Dynamic Simulation)
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