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Symmetry
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Application of Computational Fluid Dynamics and Particle-Based Methods
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Application of Computational Fluid Dynamics and Particle-Based Methods

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 8335

Special Issue Editor

Dr. Ehsan Fattahi

E-Mail Website
Guest Editor
Research Group of Fluid Dynamics, Chair of Brewing and Beverage Technology, TUM School of Life Sciences, Technical University of Munich, Weihenstephaner Steig 20, 85354 Freising, Germany
Interests: computational fluid dynamics; lattice Boltzmann method; porous media flow; life science engineering application

Special Issue Information

Simulations play an ever-increasing role in several technological areas. Computational fluid dynamics (CFD) has been at the forefront of this development. Today, the main types of CFD based on discretization methods are joined by the more recent particle-based methods involving dynamical properties and symmetry characteristics, such as smooth particle hydrodynamics (SPH); dissipative particle dynamics (DPD); and kinetic-based methods including lattice Boltzmann methods (LBM), gas kinetic schemes (GKS), and quadrature-based moment methods (QMOM).

Moreover, rapidly developing methods in data science offer complimentary abilities to CFD tools. In this way, artificial intelligence (AI) techniques can be employed to extract underlying fluid mechanics from data, optimize the numerical methods, and increase stability and accuracy in complex symmetry-breaking flows.

With this Special Issue, we would like to demonstrate modern applications of the above-mentioned simulation methods and to stimulate new coupling ideas and crossover opportunities. Contributions can include (but are not restricted to) application of AI-enhanced CFD, kinetic methods, and PBM to interesting areas, including biological applications, (bio)magnetic applications, fluid–structure interactions, and multiphase flow devices such as those used in separation technology and droplet manipulation. 

Dr. Ehsan Fattahi
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. Symmetry 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

  • computational fluid dynamics (CFD)
  • lattice Boltzmann method (LBM)
  • artificial intelligence
  • discrete particle-based methods
  • kinetic-based methods
  • quadrature-based moment methods

Published Papers (3 papers)

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Research

21 pages, 4640 KiB  
Article
A Strong-Form Off-Lattice Boltzmann Method for Irregular Point Clouds
by Ivan Pribec, Thomas Becker and Ehsan Fattahi
Symmetry 2021, 13(10), 1802; https://0-doi-org.brum.beds.ac.uk/10.3390/sym13101802 - 28 Sep 2021
Cited by 2 | Viewed by 2083
Abstract
Radial basis function generated finite differences (RBF-FD) represent the latest discretization approach for solving partial differential equations. Their benefits include high geometric flexibility, simple implementation, and opportunity for large-scale parallel computing. Compared to other meshfree methods, typically based upon moving least squares (MLS), [...] Read more.
Radial basis function generated finite differences (RBF-FD) represent the latest discretization approach for solving partial differential equations. Their benefits include high geometric flexibility, simple implementation, and opportunity for large-scale parallel computing. Compared to other meshfree methods, typically based upon moving least squares (MLS), the RBF-FD method is able to recover a high order of algebraic accuracy while remaining better conditioned. These features make RBF-FD a promising candidate for kinetic-based fluid simulations such as lattice Boltzmann methods (LB). Pursuant to this approach, we propose a characteristic-based off-lattice Boltzmann method (OLBM) using the strong form of the discrete Boltzmann equation and radial basis function generated finite differences (RBF-FD) for the approximation of spatial derivatives. Decoupling the discretizations of momentum and space enables the use of irregular point cloud, local refinement, and various symmetric velocity sets with higher order isotropy. The accuracy and computational efficiency of the proposed method are studied using the test cases of Taylor–Green vortex flow, lid-driven cavity, and periodic flow over a square array of cylinders. For scattered grids, we find the polyharmonic spline + poly RBF-FD method provides better accuracy compared to MLS. For Cartesian node layouts, the results are the opposite, with MLS offering better accuracy. Altogether, our results suggest that the RBF-FD paradigm can be applied successfully also for kinetic-based fluid simulation with lattice Boltzmann methods. Full article
(This article belongs to the Special Issue Application of Computational Fluid Dynamics and Particle-Based Methods)
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13 pages, 1184 KiB  
Article
Multiphase Phase-Field Lattice Boltzmann Method for Simulation of Soluble Surfactants
by Ehsan Kian Far, Mohsen Gorakifard and Ehsan Fattahi
Symmetry 2021, 13(6), 1019; https://0-doi-org.brum.beds.ac.uk/10.3390/sym13061019 - 06 Jun 2021
Cited by 5 | Viewed by 2428
Abstract
This paper proposes a phase-field model for the lattice Boltzmann method which has discretized symmetrical directions of velocities in a cartesian grid, to simulate the soluble surfactant in a Multicomponent multiphase system. Despite other existing phase-field models following Langmuir relation, the interfacial tension [...] Read more.
This paper proposes a phase-field model for the lattice Boltzmann method which has discretized symmetrical directions of velocities in a cartesian grid, to simulate the soluble surfactant in a Multicomponent multiphase system. Despite other existing phase-field models following Langmuir relation, the interfacial tension can be calculated analytically in this proposed model. Parameters playing roles in the models and controlling the surfactant’s strength and interaction with other phases are obtained directly from a given initial interfacial tension and bulk surfactant. Consequently, there is no further need for trial-and-error simulations, and a real system, e.g., oil-water-surfactant, can be simulated with given initial parameters. The model is validated with the analytical result for a planar oil–water-surfactant system. Furthermore, the method for reobtaining numerical interfacial tension for five different cases is tested and compared with the given initial values for an oil droplet surrounded by water and surfactant. The results show that the obtained interfacial tension from the method is in good agreement with the given initial interfacial tension. Furthermore, the spurious velocity of the model is calculated and seen that the magnitude of spurious velocities is proportional to interfacial tension. Full article
(This article belongs to the Special Issue Application of Computational Fluid Dynamics and Particle-Based Methods)
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21 pages, 8667 KiB  
Article
Study on the Effects of the Wear-Rings Clearance on the Solid-Liquid Two-Phase Flow Characteristics of Centrifugal Pumps
by Chaoshou Yan, Jianfei Liu, Shuihua Zheng, Bin Huang and Jiacheng Dai
Symmetry 2020, 12(12), 2003; https://0-doi-org.brum.beds.ac.uk/10.3390/sym12122003 - 04 Dec 2020
Cited by 10 | Viewed by 3081
Abstract
In order to study the wear law of the centrifugal pump flowing surface under different wear-rings clearance, the McLaury wear model was used to conduct the full-passage numerical simulation of solid-liquid two-phase flow in a single-stage single-suction centrifugal pump. The reliability of the [...] Read more.
In order to study the wear law of the centrifugal pump flowing surface under different wear-rings clearance, the McLaury wear model was used to conduct the full-passage numerical simulation of solid-liquid two-phase flow in a single-stage single-suction centrifugal pump. The reliability of the numerical calculation method is verified by comparing the experimental data and numerical simulation results. The clearance is 0.1, 0.15, 0.2, 0.3 and 0.5 mm, respectively. The results show that the wear of the centrifugal pump blades is mainly concentrated in the end part and the inlet part of the blade, and the wear of the pressure surface at the end of the suction surface and the front of the blade is more serious. As the clearance increases, the maximum wear value in the impeller increases first and then decreases, reaching a maximum at 0.15 mm. With the increase of the clearance, the wear degree and the wear rate of the volute wall surface first increase and then decrease, and reach the maximum at 0.2 mm. With the increase of the clearance and the concentration of the fluid medium, the wear at the clearance of the centrifugal pump is more serious, and the severe wear area exhibits a point-like circumferential distribution. Full article
(This article belongs to the Special Issue Application of Computational Fluid Dynamics and Particle-Based Methods)
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