Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.3
2.5
Journals
Applied Sciences
Special Issues
The Industrial Applications of Computational Fluid Dynamics
applsci-logo
Submit to Applied Sciences Review for Applied Sciences Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

The Industrial Applications of Computational Fluid Dynamics

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".

Deadline for manuscript submissions: closed (20 September 2024) | Viewed by 8515

Special Issue Editors

Dr. Riccardo Rossi

E-Mail Website
Guest Editor
RED Fluid Dynamics, 09127 Cagliari, Italy
Interests: unstructured finite-volume schemes; turbulence modeling; turbulent scalar transport; high-fidelity simulations; industrial applications of computational fluid dynamics
Prof. Dr. Karl Jenkins

E-Mail Website
Guest Editor
School of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield MK43 0AL, UK
Interests: turbulent reacting flows; direct-numerical simulations; large-eddy simulations
Special Issues, Collections and Topics in MDPI journals
Dr. Tom-Robin Teschner

E-Mail Website
Guest Editor
Centre for Computational Engineering Sciences, Cranfield University, Cranfield MK43 0AL, UK
Interests: aerodynamics; aerospace, motorsport; incompressible flows; turbulence transition modelling; high-performance computing

Special Issue Information

Dear Colleagues,

We are pleased to invite you to contribute to a Special Issue on Industrial Applications of Computational Fluid Dynamics. Computational fluid dynamics (CFD) has a long standing in research, where it compliments experimental studies. The significance of CFD lies not only in its ability to elucidate the underlying physics of fluid flow but also in its potential to optimize designs, enhance product performance, and mitigate operational inefficiencies, thereby fostering innovation and competitiveness in industrial sectors.

This Special Issue aims to explore the diverse, multidisciplinary and wide-ranging industrial problems and applications that are solved with the help of computational fluid dynamics. By highlighting the innovative use of CFD, this Special Issue aims to bridge the gap between theory and practical solutions, facilitating advancements in fields crucial to engineering. We particularly welcome publications that discuss emerging application areas in which CFD has traditionally not been widely used, as well as pure academic research that is able to demonstrate its advantages when applied to an industrial problem, with the potential to improve and influence industrial practices in the near future. The use of open-source CFD software is also of particular interest to highlight the current trends in such tools in both academic and industrial domains.

For this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Aeronautical engineering;
  • Thermal engineering;
  • Automotive engineering;
  • Mechanical engineering;
  • Civil engineering;
  • Environmental engineering;
  • Marine engineering;
  • Biomedical engineering;
  • Chemical engineering;
  • Process engineering.

Dr. Riccardo Rossi
Prof. Dr. Karl Jenkins
Dr. Tom-Robin Teschner
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. Applied Sciences is an international peer-reviewed open access semimonthly 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

  • CFD
  • numerical
  • simulations
  • modeling
  • industrial applications
  • engineering
  • innovation

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

24 pages, 15499 KiB  
Article
An Automated Computational Fluid Dynamics Workflow for Simulating the Internal Flow of Race Car Radiators
by Francesco Mangini, Matteo Vaccalluzzo, Eugenio Bardoscia, Andrea Bortoli and Alessandro Colombo
Appl. Sci. 2024, 14(21), 9930; https://doi.org/10.3390/app14219930 - 30 Oct 2024
Viewed by 1334
Abstract
In this article, we present a software tool developed in Python, named T-WorkFlow. It has been devised to meet some of the design needs of Tatuus Racing S.p.a., a leading company in the design and production of racing cars for the FIA Formula [...] Read more.
In this article, we present a software tool developed in Python, named T-WorkFlow. It has been devised to meet some of the design needs of Tatuus Racing S.p.a., a leading company in the design and production of racing cars for the FIA Formula 3 Regional and Formula 4 categories. The software leverages the open-source tools OpenFOAM and FreeCAD to fully automate the fluid dynamics simulation process within car radiators. The goal of T-WorkFlow is to provide designers with precise and easily interpretable results that facilitate the identification of the geometry, ensuring optimal flow distribution in the radiator channels. T-WorkFlow requires the radiator’s geometry files in .stp and .stl formats, along with additional user inputs provided through a graphical interface. For mesh generation, the software leverages the OpenFOAM tools blockMesh and snappyHexMesh. To ensure uniform mesh quality across different configurations, and thus, comparable numerical results, various pre-processing operations on the specific geometry files are needed. After generating the mesh, T-WorkFlow automatically defines a control surface for each radiator channel to monitor the volumetric flow rate distribution. This is achieved by combining the OpenFOAM command topoSet with specific geometric information directly obtained from the radiator’s CAD through FreeCAD. During the simulation, the software provides various outputs that automate the main post-processing operations, enabling quick and easy identification of the configuration that ensures the desired performance. Full article
(This article belongs to the Special Issue The Industrial Applications of Computational Fluid Dynamics)
►▼ Show Figures

Figure 1

12 pages, 5587 KiB  
Article
Multi-Disciplinary Optimization of UV-C Filter for Air Disinfection
by Igor Carli, Carlo Poloni, Alberto Clarich and Rosario Russo
Appl. Sci. 2024, 14(21), 9901; https://doi.org/10.3390/app14219901 - 29 Oct 2024
Viewed by 842
Abstract
Because of the recent COVID-19 pandemic, the problem of preventing and containing the diffusion of pathogens spread through air has become a main topic of research. The problem is particularly important for specific environments, such as dental or other medical practices, where the [...] Read more.
Because of the recent COVID-19 pandemic, the problem of preventing and containing the diffusion of pathogens spread through air has become a main topic of research. The problem is particularly important for specific environments, such as dental or other medical practices, where the aerosol treatments in open-mouth patients, combined with closed and crowded rooms, raise the risk of infection. As an efficient countermeasure, in this study we propose a solution that is able to remove the risk at the source, through the aspiration of the aerosol and the neutralization of the bacterial load by means of a UV-C LED filter, which releases the sterilized air in the environment. To maximize the efficiency of the solution, in this study we performed a numerical multi-disciplinary optimization (MDO) of the filter, coupling numerical simulations of multiple disciplines (CFD and electromagnetics) by the process automation and optimization environment modeFRONTIER of ESTECO. Geometrical parameters of the filter are updated for each candidate solution proposed by the optimization algorithm, and their performance in terms of viral neutralization efficiency and air mass flow rate are evaluated by the simulations, until the optimal solution is found. The methodology and results of the study are presented. Full article
(This article belongs to the Special Issue The Industrial Applications of Computational Fluid Dynamics)
►▼ Show Figures

Figure 1

13 pages, 5410 KiB  
Article
CFD Analysis of the Thermal-Hydraulic Performance of Traditional and Alternative Oils for Transformer Cooling
by Elisabetta Salerno, Adriano Leonforte, Mattia Grespan, Diego Angeli and Mauro A. Corticelli
Appl. Sci. 2024, 14(21), 9736; https://doi.org/10.3390/app14219736 - 24 Oct 2024
Viewed by 1241
Abstract
The search for alternative, more environmentally friendly coolants to replace mineral oils in power transformers represents a relevant challenge for the power industry. In this frame, a CFD analysis is carried out by means of an open-source, conjugate heat transfer Finite Volume solver [...] Read more.
The search for alternative, more environmentally friendly coolants to replace mineral oils in power transformers represents a relevant challenge for the power industry. In this frame, a CFD analysis is carried out by means of an open-source, conjugate heat transfer Finite Volume solver to assess the heat transfer performance of different coolants in a disc-type winding of an oil-immersed power transformer, whose geometry is taken from a reference case in the literature. Four different oils are considered: two mineral oils widely established among power transformer manufacturers, a synthetic ester and a natural ester. The latter two represent environmentally friendly alternatives to mineral oils, of great interest for the specific sector. The influence of temperature-dependent thermophysical properties on the overall flow and on the location and value of the hot spots in the copper conductors is discussed, highlighting the strength and weaknesses of the four oils as transformer coolants. In particular, the natural ester exhibits the best heat transfer performance, whereas high hot-spot temperatures and strong fluctuations are found for both mineral oils and the synthetic ester. Full article
(This article belongs to the Special Issue The Industrial Applications of Computational Fluid Dynamics)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop