Computational Fluid Dynamics Applied to Transport Phenomena

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

Deadline for manuscript submissions: 31 August 2025 | Viewed by 613

Special Issue Editors


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Guest Editor
Escola de Engenharia, Universidade Federal do Rio Grande—FURG, Rio Grande 96203-900, Brazil
Interests: computational fluid dynamics; computational solid mechanics; renewable energy; constructal design
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Escola de Engenharia, Universidade Federal do Rio Grande—FURG, Rio Grande 96203-900, Brazil
Interests: thermodynamics; fluid mechanics; heat transfer; constructal design

E-Mail Website
Guest Editor
Escola de Engenharia, Universidade Federal do Rio Grande—FURG, Rio Grande 96203-900, Brazil
Interests: fluid mechanics; heat transfer; renewable energy; constructal design
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In engineering, transport phenomena refer to the study and analysis of how mass, energy, and momentum move and distribute in different media. These phenomena are fundamental in various engineering fields such as chemical, mechanical, civil, and environmental engineering. Therefore, understanding and controlling these phenomena is crucial for the efficient design and operation of systems and processes in engineering. Additionally, it is well known that an efficient and versatile way to approach the problems of transport phenomena in engineering is through computational fluid dynamics (CFD). For this Special Issue, we call for a wide range of papers addressing computational modeling applied to transport phenomena, which can be supported by analytical and/or experimental approaches. Topics of interest include, but are not limited to, the following: internal and external flows, multiphase flows, heat exchangers, refrigeration systems, chemical reactors, sediment transport, pollutant dispersion, wastewater treatment, and renewable energy systems.

Additionally, this Special Issue will also publish selected papers from the 10º MCSul/X SEMENGO (MCSul: Southern Conference on Computational Modeling; SEMENGO: Seminar and Workshop on Ocean Engineering; https://www.even3.com.br/10-conferencia-sul-em-modelagem-computacional-10-mcsul-e-o-x-seminario-e-workshop-em-engenharia-oceanica-x-semengo-435016/) held on 4–6 December 2024, in Rio Grande do Sul, Brazil.

Prof. Dr. Liércio André Isoldi
Prof. Dr. Luiz Alberto Oliveira Rocha
Prof. Dr. Elizaldo Domingues Dos Santos
Guest Editors

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Keywords

  • heat transfer
  • fluid flow
  • numerical simulation
  • computational modeling

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Published Papers (2 papers)

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21 pages, 2488 KiB  
Article
Combination of Integral Transforms and Linear Optimization for Source Reconstruction in Heat and Mass Diffusion Problems
by André J. P. de Oliveira, Diego C. Knupp, Luiz A. S. Abreu, David A. Pelta and Antônio J. da Silva Neto
Fluids 2025, 10(4), 106; https://doi.org/10.3390/fluids10040106 - 21 Apr 2025
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Abstract
This paper presents a novel methodology for estimating space- and time-dependent source terms in heat and mass diffusion problems. The approach combines classical integral transform techniques (CITTs) with the least squares optimization method, enabling an efficient reconstruction of source terms. The method employs [...] Read more.
This paper presents a novel methodology for estimating space- and time-dependent source terms in heat and mass diffusion problems. The approach combines classical integral transform techniques (CITTs) with the least squares optimization method, enabling an efficient reconstruction of source terms. The method employs a double expansion framework, using both spatial eigenfunction and temporal expansions. The new presented idea assumes that the source term can be expressed as a spatial expansion in eigenfunctions of the eigenvalue problem, and then each transient function associated with each term of spatial expansion is rewritten as an additional expansion, where the unknown coefficients approximating the transformed source enable the direct use of the solution in the objective function. This, in turn, results in a linear optimization problem that can be quickly minimized. Numerical experiments, including one-dimensional and two-dimensional scenarios, demonstrate the accuracy of the proposed method in the presence of noisy data. The results highlight the method’s robustness and computational efficiency, even with minimal temporal expansion terms. Full article
(This article belongs to the Special Issue Computational Fluid Dynamics Applied to Transport Phenomena)
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15 pages, 3456 KiB  
Article
Evaluation of the Adsorption Potential of Benzo(a)pyrene in Coal Produced from Sewage Treatment Station Sludge
by Natiele Kleemann, Débora Jaeschke, Nauro Silveira, Jr., Luiz Pinto, Tito Cadaval, Jr., Jean Arias, Sergiane Barbosa, Ednei Primel and Adilson Bamberg
Fluids 2025, 10(4), 98; https://doi.org/10.3390/fluids10040098 - 7 Apr 2025
Viewed by 213
Abstract
This work investigates the adsorption of benzo[a]pyrene (BaP) using a charcoal adsorbent derived from sewage treatment plant sludge. BaP is a polycyclic aromatic hydrocarbon (PAH), carcinogenic to humans, which his used by the World Health Organization as a marker for all PAH mixtures. [...] Read more.
This work investigates the adsorption of benzo[a]pyrene (BaP) using a charcoal adsorbent derived from sewage treatment plant sludge. BaP is a polycyclic aromatic hydrocarbon (PAH), carcinogenic to humans, which his used by the World Health Organization as a marker for all PAH mixtures. The charcoal was produced by the pyrolysis (500 °C, 4 h) of municipal sewage sludge. The resulting biochar presented mesoporous and oxygenated functional groups that are beneficial for the adsorption of benzo[a]pyrene. The material contained graphitic structures, suggesting potential sites for π–π interactions. The adsorption followed the Elovich kinetic model. A maximum adsorbed value of 60.8 µg g−1 was achieved for an initial BaP concentration of 100 µg L−1 of BaP at 298 K after 20 min. Parameters related to mass transfer phenomena, such as the intraparticle diffusion coefficient, were determined using the homogeneous solid diffusion model (HSDM). These experimental data demonstrate the great potential for computational fluid dynamics (CFD) applications. The value reached for the intraparticle diffusion coefficient was 1.63 × 10−13 m2s−1. Adsorption equilibrium experiments showed that the Langmuir model was most suitable for experimental data, suggesting a monolayer molecular adsorption process. The results showed that charcoal can be employed as an effective material for removing BaP. Full article
(This article belongs to the Special Issue Computational Fluid Dynamics Applied to Transport Phenomena)
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