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Computation
Special Issues
Post-Modern Computational Fluid Dynamics
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Post-Modern Computational Fluid Dynamics

A special issue of Computation (ISSN 2079-3197).

Deadline for manuscript submissions: 28 February 2025 | Viewed by 6594

Special Issue Editor

Dr. Dimitrios Koubogiannis

E-Mail Website
Guest Editor
Department of Naval Architecture, School of Engineering, University of West Attica, Aigaleo, Greece
Interests: CFD (techniques, industrial applications); computational methods; energy technology; reduced-order modeling; design optimization; flow control; modeling of energy systems (power cycles, waste heat recovery, natural gas liquefaction, supercritical CO2 cycle); operational and embodied energy; life cycle assessment in buildings and ships

Special Issue Information

Dear Colleagues,

Computational fluid dynamics (CFD) has matured and now dominates many branches of research and engineering applications. Nowadays, there are a lot of sufficiently tested and well-documented CFD codes available (commercial, in-house laboratorial ones, of free access), capable of simulating engineering flows. In conjunction with the continued development and upgrading of computing facilities, CFD offers the capability of faster and low-cost simulations that can provide detailed description of flows, compared to experiments. Furthermore, CFD provides the capability to obtain insight into cases for which no experimental data exist or are not even feasible. The availability of reliable CFD tools enables one to tackle specialized problems and industrial applications of various diverse fields, as well as to develop methods relying on CFD, such as design optimization, flow control, reduced-order models, machine-learning-assisted CFD, etc. In light of the above, it is my immense pleasure to invite you to contribute to a high-impact Special Issue entitled “Post-Modern Computational Fluid Dynamics”, mainly focusing on industrial or specialized CFD applications (in energy technology and mechanical, naval, civil and chemical engineering) and on developing either CFD techniques or methods based on CFD. Topics of interest include, but are not limited to, the following:

  • CFD models and techniques;
  • Fast fluid dynamics;
  • CFD applications (industrial, novel, specialized, micro-scale to large-scale);
  • Design optimization and application in multidisciplinary systems;
  • Flow control;
  • Reduced-order modeling of flows;
  • Machine learning in CFD.

Dr. Dimitrios Koubogiannis
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. Computation 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

  • CFD techniques
  • CFD applications
  • design optimization
  • flow control
  • reduced-order modeling
  • machine learning

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Published Papers (5 papers)

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Research

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18 pages, 4031 KiB  
Article
Comprehensive Evaluation of the Massively Parallel Direct Simulation Monte Carlo Kernel “Stochastic Parallel Rarefied-Gas Time-Accurate Analyzer” in Rarefied Hypersonic Flows—Part B: Hypersonic Vehicles
by Angelos Klothakis and Ioannis K. Nikolos
Computation 2024, 12(10), 200; https://doi.org/10.3390/computation12100200 - 4 Oct 2024
Viewed by 749
Abstract
In the past decade, there has been significant progress in the development, testing, and production of vehicles capable of achieving hypersonic speeds. This area of research has garnered immense interest due to the transformative potential of these vehicles. Part B of this paper [...] Read more.
In the past decade, there has been significant progress in the development, testing, and production of vehicles capable of achieving hypersonic speeds. This area of research has garnered immense interest due to the transformative potential of these vehicles. Part B of this paper initially explores the current state of hypersonic vehicle development and deployment, as well as the propulsion technologies involved. At next, two additional test cases, used for the evaluation of DSMC code SPARTA are analyzed: a Mach 12.4 flow over a flared cylinder and a Mach 15.6 flow over a 25/55-degree biconic. These (2D-axisymmetric) test cases have been selected as they are tailored for the assessment of flow and heat transfer characteristics of present and future hypersonic vehicles, for both their external and internal aerodynamics. These test cases exhibit (in a larger range compared to the test cases presented in Part A of this work) shock–boundary and shock–shock interactions, which can provide a fair assessment of the SPARTA DSMC solver accuracy, in flow conditions which characterize hypersonic flight and can adequately test its ability to qualitatively and quantitatively capture the complicated physics behind such demanding flows. This validation campaign of SPARTA provided valuable experience for the correct tuning of the various parameters of the solver, especially for the use of adequate computational grids, thus enabling its subsequent application to more complicated three-dimensional test cases of hypersonic vehicles. Full article
(This article belongs to the Special Issue Post-Modern Computational Fluid Dynamics)
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24 pages, 16220 KiB  
Article
Comprehensive Evaluation of the Massively Parallel Direct Simulation Monte Carlo Kernel “Stochastic Parallel Rarefied-Gas Time-Accurate Analyzer” in Rarefied Hypersonic Flows—Part A: Fundamentals
by Angelos Klothakis and Ioannis K. Nikolos
Computation 2024, 12(10), 198; https://doi.org/10.3390/computation12100198 - 1 Oct 2024
Viewed by 946
Abstract
The Direct Simulation Monte Carlo (DSMC) method, introduced by Graeme Bird over five decades ago, has become a crucial statistical particle-based technique for simulating low-density gas flows. Its widespread acceptance stems from rigorous validation against experimental data. This study focuses on four validation [...] Read more.
The Direct Simulation Monte Carlo (DSMC) method, introduced by Graeme Bird over five decades ago, has become a crucial statistical particle-based technique for simulating low-density gas flows. Its widespread acceptance stems from rigorous validation against experimental data. This study focuses on four validation test cases known for their complex shock–boundary and shock–shock interactions: (a) a flat plate in hypersonic flow, (b) a Mach 20.2 flow over a 70-degree interplanetary probe, (c) a hypersonic flow around a flared cylinder, and (d) a hypersonic flow around a biconic. Part A of this paper covers the first two cases, while Part B will discuss the remaining cases. These scenarios have been extensively used by researchers to validate prominent parallel DSMC solvers, due to the challenging nature of the flow features involved. The validation requires meticulous selection of simulation parameters, including particle count, grid density, and time steps. This work evaluates the SPARTA (Stochastic Parallel Rarefied-gas Time-Accurate Analyzer) kernel’s accuracy against these test cases, highlighting its parallel processing capability via domain decomposition and MPI communication. This method promises substantial improvements in computational efficiency and accuracy for complex hypersonic vehicle simulations. Full article
(This article belongs to the Special Issue Post-Modern Computational Fluid Dynamics)
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24 pages, 16040 KiB  
Article
Design and Evaluation of a Hypersonic Waverider Vehicle Using DSMC
by Angelos Klothakis and Ioannis K. Nikolos
Computation 2024, 12(7), 140; https://doi.org/10.3390/computation12070140 - 9 Jul 2024
Viewed by 1472
Abstract
This work investigates the aerodynamic performance of a hypersonic waverider designed to operate at Mach 7, focusing on optimizing its design through advanced computational methods. Utilizing the Direct Simulation Monte Carlo (DSMC) method, the three-dimensional flow field around the specifically designed waverider was [...] Read more.
This work investigates the aerodynamic performance of a hypersonic waverider designed to operate at Mach 7, focusing on optimizing its design through advanced computational methods. Utilizing the Direct Simulation Monte Carlo (DSMC) method, the three-dimensional flow field around the specifically designed waverider was simulated to understand the shock wave interactions and thermal dynamics at an altitude of 90 km. The computational approach included detailed meshing around the vehicle’s critical leading edges and the use of three-dimensional iso-surfaces of the Q-criterion to map out the shock and vortex structures accurately. Additional simulation results demonstrate that the waverider achieved a lift–drag ratio of 2.18, confirming efficient aerodynamic performance at a zero-degree angle of attack. The study’s findings contribute to the broader understanding of hypersonic flight dynamics, highlighting the importance of precise computational modeling in developing vehicles capable of operating effectively in near-space environments. Full article
(This article belongs to the Special Issue Post-Modern Computational Fluid Dynamics)
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15 pages, 10569 KiB  
Article
Numerical Simulation and Comparison of Different Steady-State Tumble Measuring Configurations for Internal Combustion Engines
by Andreas Theodorakakos
Computation 2024, 12(7), 138; https://doi.org/10.3390/computation12070138 - 8 Jul 2024
Viewed by 745
Abstract
To enhance air–fuel mixing and turbulence during combustion, spark ignition internal combustion engines commonly employ tumble vortices of the charge inside the cylinder. The intake phase primarily dictates the generated tumble, which is influenced by the design of the intake system. Utilizing steady-state [...] Read more.
To enhance air–fuel mixing and turbulence during combustion, spark ignition internal combustion engines commonly employ tumble vortices of the charge inside the cylinder. The intake phase primarily dictates the generated tumble, which is influenced by the design of the intake system. Utilizing steady-state flow rigs provides a practical method to assess an engine’s cylinder head design’s tumble-generating characteristics. This study aims to conduct computational fluid dynamics (CFD) numerical simulations on various configurations of steady-state flow rigs and compare the resulting tumble ratios. The simulations are conducted for different inlet valve lifts of a four-valve cylinder head with a shallow pent-roof. The findings highlight variations among these widely adopted configurations. Full article
(This article belongs to the Special Issue Post-Modern Computational Fluid Dynamics)
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Review

Jump to: Research

38 pages, 6913 KiB  
Review
Computational Fluid Dynamics-Based Systems Engineering for Ground-Based Astronomy
by Konstantinos Vogiatzis, George Angeli, Gelys Trancho and Rod Conan
Computation 2024, 12(7), 143; https://doi.org/10.3390/computation12070143 - 11 Jul 2024
Viewed by 1993
Abstract
This paper presents the state-of-the-art techniques employed in aerothermal modeling to respond to the current observatory design challenges, particularly those of the next generation of extremely large telescopes (ELTs), such as the European ELT, the Thirty Meter Telescope International Observatory (TIO), and the [...] Read more.
This paper presents the state-of-the-art techniques employed in aerothermal modeling to respond to the current observatory design challenges, particularly those of the next generation of extremely large telescopes (ELTs), such as the European ELT, the Thirty Meter Telescope International Observatory (TIO), and the Giant Magellan Telescope (GMT). It reviews the various aerothermal simulation techniques, the synergy between modeling outputs and observatory integrating modeling, and recent applications. The suite of aerothermal modeling presented includes thermal network models, Computational Fluid Dynamics (CFD) models, solid thermal and deformation models, and conjugate heat transfer models (concurrent fluid/solid simulations). The aerothermal suite is part of the overall observatory integrated modeling (IM) framework, which also includes optics, dynamics, and controls. The outputs of the IM framework, nominally image quality (IQ) metrics for a specific telescope state, are fed into a stochastic framework in the form of a multidimensional array that covers the range of influencing operational parameters, thus providing a statistical representation of observatory performance. The applications of the framework range from site selection, ground layer characterization, and site development to observatory performance current best estimate and optimization, active thermal control design, structural analysis, and an assortment of cost–performance trade studies. Finally, this paper addresses planned improvements, the development of new ideas, attacking new challenges, and how it all ties to the “Computational Fluid Dynamics Vision 2030” initiative. Full article
(This article belongs to the Special Issue Post-Modern Computational Fluid Dynamics)
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