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The Progress of Fluid Flow Computer Modelling Using Open Source...
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The Progress of Fluid Flow Computer Modelling Using Open Source Software

A special issue of Fluids (ISSN 2311-5521). This special issue belongs to the section "Mathematical and Computational Fluid Mechanics".

Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 11928

Special Issue Editors

Dr. Matvey Kraposhin

E-Mail Website
Guest Editor
Ivannikov Institute for System Programming of the Russian Academy of Sciences, Solzhenitsyna str. 25, 109004 Moscow, Russia
Interests: fluid dynamics; numerical modelling; multiscale modelling; open source software; compressible flows; two-phase flows; interdisciplinary models
Prof. Dr. Tatiana G. Elizarova

E-Mail Website
Guest Editor
Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, Moscow, Russia
Interests: numerical simulation of gasdynamic and hydrodynamic flows; multiprocessor systems; quasi-gasdynamic (QGD) and quasi-hydrodynamic (QHD) equations

Special Issue Information

Dear Colleagues,

Modern fluid flow problems (both fundamental and applied) produce increased demands for numerical algorithms and their computer implementations. These requirements are associated with the necessity to account for (a) multiple spatial and temporal scales in one problem (e.g., generation and evolution of hydrodynamic instabilities, mean flow and its pulsations, motion of different phases and components of medium, etc.), (b) the presence of different physical phenomena (convection–diffusion, buoyancy, compressibility, surface tension, physical and chemical transformations, etc.), (c) sensitivity of a problem statement to physical constants, numerical algorithm parameters, and input data, and the (d) data assimilation procedure.

Developers of cutting-edge numerical methods for such kinds of problems are traditionally favorable to open-source software (OSS), which gives them the flexibility to change and distribute the code of implementation. However, today, open-source software is not only a tool for scientific research—it provides a unified language between education, research, and industry, which are known today as the Knowledge Triangle. Successful application of novel models which are implemented in open-source libraries serves as an additional driver not only for those who conduct research or use its results but also for developers. The negative results of state-of-the-art model applications to challenging problems are also demanded since they show the direction for the future work of researchers and code developers.

This Special Issue aims to present some of the recent advances in the employment and development of open-source software for fluid flow phenomenon modeling. We invite authors to contribute research results that fall into (but are not limited to) one of the following topics:

  • Development of a new open-source software numerical simulation tool which implements novel and efficient numerical methods or complicated physical model;
  • New results of verification and/or validation of an existing open-source program;
  • Results of open-source program application to a complex industrial problem.

Dr. Matvey Kraposhin
Prof. Dr. Tatiana G. Elizarova
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 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. 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

  • fluid flow computer models
  • multiscale simulations
  • open-source software
  • transient flows
  • supercomputer software for fluid flow simulation
  • interdisciplinary models

Published Papers (4 papers)

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Research

11 pages, 1486 KiB  
Article
Model Assessment of an Open-Source Smoothed Particle Hydrodynamics (SPH) Simulation of a Vibration-Assisted Drilling Process
by Manuel Falcone, Lizoel Buss and Udo Fritsching
Fluids 2022, 7(6), 189; https://0-doi-org.brum.beds.ac.uk/10.3390/fluids7060189 - 29 May 2022
Cited by 2 | Viewed by 1690
Abstract
Minimum Quantity Lubrication (MQL) is a cooling and lubrication variant applied, for instance, in drilling processes. In the present approach, a new vibration-assisted drilling process is analyzed, which has considerable potential for manufacturing of extremely hard materials. Within this process, the MQL gas/liquid [...] Read more.
Minimum Quantity Lubrication (MQL) is a cooling and lubrication variant applied, for instance, in drilling processes. In the present approach, a new vibration-assisted drilling process is analyzed, which has considerable potential for manufacturing of extremely hard materials. Within this process, the MQL gas/liquid transport in the presence of a vibrating and rotating twist drill bit in the borehole is to be studied. Multiphase computational fluid dynamics is applied to analyze and optimize the MQL flow. However, applying conventional CFD methods with discretized continuum equations on a numerical grid is challenging in this process, as the vibrating drill bit frequently closes the gap in the borehole, where even dynamic grid application fails. The ability to use an open-source Smoothed Particle Hydrodynamics (SPH) meshless method to analyze the lubrication media flow is carried out to accurately and efficiently address this problem and overcome the severe limitations of conventional mesh-based methods. For a feasibility study of the method, the MQL air phase in the dynamic drill cavity is analyzed by SPH and validated against conventional CFD method results. The present study shows insufficient results of the SPH method, both in terms of solution plausibility and computational cost, for simulation of the problem at hand. Full article
(This article belongs to the Special Issue The Progress of Fluid Flow Computer Modelling Using Open Source Software)
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19 pages, 11368 KiB  
Article
Two-Phase Gas and Dust Free Expansion: Three-Dimensional Benchmark Problem for CFD Codes
by Olga P. Stoyanovskaya, Vitaliy V. Grigoryev, Anastasiya N. Suslenkova, Maxim N. Davydov and Nikolay V. Snytnikov
Fluids 2022, 7(2), 51; https://0-doi-org.brum.beds.ac.uk/10.3390/fluids7020051 - 24 Jan 2022
Cited by 2 | Viewed by 2204
Abstract
In the computational mechanics of multiphase dispersed flows, there is an issue of computing the interaction between phases in a mixture of a carrier fluid and dispersed inclusions. The problem is that an accurate dynamics simulation of a mixture of gas and finely [...] Read more.
In the computational mechanics of multiphase dispersed flows, there is an issue of computing the interaction between phases in a mixture of a carrier fluid and dispersed inclusions. The problem is that an accurate dynamics simulation of a mixture of gas and finely dispersed solids with intense interphase interaction requires much more computational power compared to pure gas or a mixture with moderate interaction between phases. To tackle this problem, effective numerical methods are being searched for to ensure adequate computational cost, accuracy, and stability of the results at an arbitrary intensity of momentum and energy exchange between phases. Thus, to assess the approximation, dispersive, dissipative, and asymptotic properties of numerical methods, benchmark solutions of relevant test problems are required. Such solutions are known for one-dimensional problems with linear plane waves. We introduce a novel analytical solution for the nonlinear problem of spherically symmetric expansion of a gas and dust ball into a vacuum. Therein, the dynamics of carrier and dispersed phases are modeled using equations for a compressible inviscid gas. Solid particles do not have intrinsic pressure and are assumed to be monodisperse. The carrier and dispersed phases exchange momentum. In the derived solution, the velocities of gas and dust clouds depend linearly on the radii. The results were reproduced at high, moderate, and low momentum exchange between phases using the SPH-IDIC (Smoothed Particle Hydrodynamics with Implicit Drag in Cell) method implemented based on the open-source OpenFPM library. We reported an example of using the solution as a benchmark for CFD (computational fluid dynamics) models verification and for the evaluation of numerical methods. Our benchmark solution generator developed in the free Scilab environment is publicly available. Full article
(This article belongs to the Special Issue The Progress of Fluid Flow Computer Modelling Using Open Source Software)
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23 pages, 11725 KiB  
Article
Efficient Simulations of Propagating Flames and Fire Suppression Optimization Using Adaptive Mesh Refinement
by Caelan Lapointe, Nicholas T. Wimer, Sam Simons-Wellin, Jeffrey F. Glusman, Gregory B. Rieker and Peter E. Hamlington
Fluids 2021, 6(9), 323; https://0-doi-org.brum.beds.ac.uk/10.3390/fluids6090323 - 08 Sep 2021
Cited by 4 | Viewed by 2493
Abstract
Fires are complex multi-physics problems that span wide spatial scale ranges. Capturing this complexity in computationally affordable numerical simulations for process studies and “outer-loop” techniques (e.g., optimization and uncertainty quantification) is a fundamental challenge in reacting flow research. Further complications arise for propagating [...] Read more.
Fires are complex multi-physics problems that span wide spatial scale ranges. Capturing this complexity in computationally affordable numerical simulations for process studies and “outer-loop” techniques (e.g., optimization and uncertainty quantification) is a fundamental challenge in reacting flow research. Further complications arise for propagating fires where a priori knowledge of the fire spread rate and direction is typically not available. In such cases, static mesh refinement at all possible fire locations is a computationally inefficient approach to bridging the wide range of spatial scales relevant to fire behavior. In the present study, we address this challenge by incorporating adaptive mesh refinement (AMR) in fireFoam, an OpenFOAM solver for simulations of complex fire phenomena involving pyrolyzing solid surfaces. The AMR functionality in the extended solver, called fireDyMFoam, is load balanced, models gas, solid, and liquid phases, and allows us to dynamically track regions of interest, thus avoiding inefficient over-resolution of areas far from a propagating flame. We demonstrate the AMR capability and computational efficiency for fire spread on vertical panels, showing that the AMR solver reproduces results obtained using much larger statically refined meshes, but at a substantially reduced computational cost. We then leverage AMR in an optimization framework for fire suppression based on the open-source Dakota toolkit, which is made more computationally tractable through the use of fireDyMFoam, minimizing a cost function that balances water use and solid-phase mass loss. The extension of fireFoam developed here thus enables the use of higher fidelity simulations in optimization problems for the suppression of fire spread in both built and natural environments. Full article
(This article belongs to the Special Issue The Progress of Fluid Flow Computer Modelling Using Open Source Software)
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16 pages, 11469 KiB  
Article
The Eulerian–Lagrangian Approach for the Numerical Investigation of an Acoustic Field Generated by a High-Speed Gas-Droplet Flow
by Valeriia G. Melnikova, Andrey S. Epikhin and Matvey V. Kraposhin
Fluids 2021, 6(8), 274; https://0-doi-org.brum.beds.ac.uk/10.3390/fluids6080274 - 04 Aug 2021
Cited by 3 | Viewed by 3326
Abstract
This paper presents the Eulerian–Lagrangian approach for numerical modeling of high-speed gas-droplet flows and aeroacoustics. The proposed hybrid approach is implemented using the OpenFOAM library and two different methods. The first method is based on a hybrid convective terms approximation method employing a [...] Read more.
This paper presents the Eulerian–Lagrangian approach for numerical modeling of high-speed gas-droplet flows and aeroacoustics. The proposed hybrid approach is implemented using the OpenFOAM library and two different methods. The first method is based on a hybrid convective terms approximation method employing a Kurganov–Tadmor and PIMPLE scheme. The second method employs the regularized or quasi-gas dynamic equations. The Lagrangian part of the flow description uses the OpenFOAM cloud model. Within this model, the injected droplets are simulated as packages (parcels) of particles with constant mass and diameter within each parcel. According to this model, parcels moving in the gas flow could undergo deceleration, heating, evaporation, and breakup due to hydrodynamic instabilities. The far-field acoustic noise is predicted using Ffowcs Williams and Hawking’s analogy. The Lagrangian model is verified using the cases with droplet evaporation and motion. Numerical investigation of water microjet injection into the hot ideally expanded jet allowed studying acoustic properties and flow structures, which emerged due to the interaction of gas and liquid. Simulation results showed that water injection with a mass flow rate equal to 13% of the gas jet mass flow rate reduced the noise by approximately 2 dB. This result was in good coincidence with the experimental observations, where maximum noise reduction was about 1.6 dB. Full article
(This article belongs to the Special Issue The Progress of Fluid Flow Computer Modelling Using Open Source Software)
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