Computational Heat, Mass, and Momentum Transfer—II

A special issue of Computation (ISSN 2079-3197). This special issue belongs to the section "Computational Engineering".

Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 12454

Special Issue Editors


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Guest Editor
Center of Flow Simulation (CFS), Department of Mechanical and Process Engineering, Duesseldorf University of Applied Sciences, D-40476 Duesseldorf, Germany
Interests: computational methods; combustion; fire; turbulence; multi-phase flows; environmental flow; fluid machinery; biofluid dynamics
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Guest Editor
Institute of Thermal Power Engineering, Politechnika Krakowska, 31-155 Krakow, Poland
Interests: power engineering; thermodynamics; heat transfer; inverse heat transfer problems; steam boiler dynamics; thermal stresses
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Special Issue Information

Dear Colleagues,

This Special Issue will publish a set of selected papers from the XII International Conference on Computational Heat, Mass, and Momentum Transfer (ICCHMT 2019), which will be held 3–6 September 2019, in Rome, Italy (the deadline for abstract submissions is 1 April 2019). The selected papers will be published free of charge. There will also be an ICCHMT-Computation Best Paper Award. You are invited to submit a contribution to the conference for consideration and possible publication in this Special Issue.

Topics of the conferences include but are not limited to the following:

  • Advanced numerical methods;
  • Aeronautical and space applications;
  • Bio-fluidics and biomedical engineering;
  • Bio-inspired flow and heat transfer;
  • Building-integrated energy and power systems;
  • Complex chemical reaction modeling;
  • Compressible flows;
  • Computational thermal fluid dynamics;
  • Convection and buoyancy-driven flows;
  • Double diffusive convetion;
  • Energy-saving process;
  • Fluid flow and heat transfer in biomedical devices and biotechnology;
  • Fluid machinery;
  • Granular flows;
  • Heat and mass transfer in energy systems;
  • Heat and mass transfer in manufacturing and materials processing;
  • Heat and mass transfer in nuclear applications;
  • Heat and mass transfer in particle-laden flows;
  • Heat exchangers/heat pipe;
  • Internal flow and heat transfer;
  • Micro/nano heat and mass transfer;
  • Mixing devices and phenomena;
  • Multi-phase flows;
  • Optimization in thermal engineering;
  • Reactive flows and combustion;
  • Thermal flow visualization;
  • Thermal fluid machinery;
  • Thermal heat fluxes;
  • Transport phenomena in porous media;
  • Urban energy flows.

For detailed information on all further aspects of the conference, including the dates, keynote speakers, committes, registration, and accomodation, please check the conference website at http://www.icchmt2019.com/.

Prof. Dr.-Ing. habil. Ali Cemal Benim
Prof. Dr. Abdulmajeed Mohamad
Dr. Paweł Ocłoń
Prof. Dr. Inż Jan Taler
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. 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

  • Numerical methods
  • Engineering applications
  • Fluid flow
  • Heat transfer
  • Mass transfer

Published Papers (4 papers)

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Research

19 pages, 438 KiB  
Article
On the Numerical Analysis of Unsteady MHD Boundary Layer Flow of Williamson Fluid Over a Stretching Sheet and Heat and Mass Transfers
by Stanford Shateyi and Hillary Muzara
Computation 2020, 8(2), 55; https://doi.org/10.3390/computation8020055 - 02 Jun 2020
Cited by 23 | Viewed by 3318
Abstract
A thorough and detailed investigation of an unsteady free convection boundary layer flow of an incompressible electrically conducting Williamson fluid over a stretching sheet saturated with a porous medium has been numerically carried out. The partial governing equations are transferred into a system [...] Read more.
A thorough and detailed investigation of an unsteady free convection boundary layer flow of an incompressible electrically conducting Williamson fluid over a stretching sheet saturated with a porous medium has been numerically carried out. The partial governing equations are transferred into a system of non-linear dimensionless ordinary differential equations by employing suitable similarity transformations. The resultant equations are then numerically solved using the spectral quasi-linearization method. Numerical solutions are obtained in terms of the velocity, temperature and concentration profiles, as well as the skin friction, heat and mass transfers. These numerical results are presented graphically and in tabular forms. From the results, it is found out that the Weissenberg number, local electric parameter, the unsteadiness parameter, the magnetic, porosity and the buoyancy parameters have significant effects on the flow properties. Full article
(This article belongs to the Special Issue Computational Heat, Mass, and Momentum Transfer—II)
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13 pages, 2674 KiB  
Article
Investigation of the Horizontal Motion of Particle-Laden Jets
by Tooran Tavangar, Hesam Tofighian and Ali Tarokh
Computation 2020, 8(2), 23; https://doi.org/10.3390/computation8020023 - 08 Apr 2020
Cited by 9 | Viewed by 2755
Abstract
Particle-laden jet flows can be observed in many industrial applications. In this investigation, the horizontal motion of particle laden jets is simulated using the Eulerian–Lagrangian framework. The two-way coupling is applied to the model to simulate the interaction between discrete and continuum phase. [...] Read more.
Particle-laden jet flows can be observed in many industrial applications. In this investigation, the horizontal motion of particle laden jets is simulated using the Eulerian–Lagrangian framework. The two-way coupling is applied to the model to simulate the interaction between discrete and continuum phase. In order to track the continuum phase, a passive scalar equation is added to the solver. Eddy Life Time (ELT) is employed as a dispersion model. The influences of different non-dimensional parameters, such as Stokes number, Jet Reynolds number and mass loading ratio on the flow characteristics, are studied. The results of the simulations are verified with the available experimental data. It is revealed that more gravitational force is exerted on the jet as a result of the increase in mass loading, which deflects it more. Moreover, with an increase in the Reynolds number, the speed of the jet rises, and consequently, the gravitational force becomes less capable of deviating the jet. In addition, it is observed that by increasing the Stokes number, the particles leave the jet at higher speed, which causes a lower deviation of the jet. Full article
(This article belongs to the Special Issue Computational Heat, Mass, and Momentum Transfer—II)
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17 pages, 5761 KiB  
Article
Investigating the Thermo-Mechanical Behavior of a Ceramic Matrix Composite Wing Leading Edge by Sub-Modeling Based Numerical Analyses
by Michele Ferraiuolo, Concetta Palumbo, Andrea Sellitto and Aniello Riccio
Computation 2020, 8(2), 22; https://doi.org/10.3390/computation8020022 - 28 Mar 2020
Cited by 4 | Viewed by 2477
Abstract
The thermo-structural design of the wing leading edge of hypersonic vehicles is a very challenging task as high gradients in thermal field, and hence high thermal stresses, are expected. Indeed, when employing passive hot structures based thermal protection systems, very high temperatures (e.g., [...] Read more.
The thermo-structural design of the wing leading edge of hypersonic vehicles is a very challenging task as high gradients in thermal field, and hence high thermal stresses, are expected. Indeed, when employing passive hot structures based thermal protection systems, very high temperatures (e.g., 1400 °C) are expected on the external surface of the wing leading edge, while the internal structural components are required to not exceed a few hundred degrees Celsius (e.g., 400 °C) at the interface with the internal cold structure. Hence, ceramic matrix composites (CMC) are usually adopted for the manufacturing of the external surface of the wing leading edge since they are characterized by good mechanical properties at very high temperatures (up to 1900 °C) together with an excellent thermal shock resistance. Furthermore, the orthotropic behavior of these materials together with the possibility to tailor their lamination sequence to minimize the heat transferred to internal components, make them very attractive for hot structure based thermal protection systems applications. However, the numerical predictions of the thermo-mechanical behavior of such materials, taking into account the influence of each ply (whose thickness generally ranges between 0.2 and 0.3 mm), can be very expensive from a computational point of view. To overcome this limitation, usually, sub-models are adopted, able to focus on specific and critical areas of the structure where very detailed thermo-mechanical analyses can be performed without significantly affecting the computational efficiency of the global model. In the present work, sub-modeling numerical approaches have been adopted for the analysis of the thermo-mechanical behavior of a ceramic matrix composite wing leading edge of a hypersonic vehicle. The main aim is to investigate the feasibility, in terms of computational efficiency and accuracy of results, in using sub-models for dimensioning complex ceramic matrix components. Hence, a comprehensive study on the size of sub-models and on the choice of their boundaries has been carried out in order to assess the advantages and the limitations in approximating the thermo-mechanical behavior of the investigated global ceramic matrix composite component. Full article
(This article belongs to the Special Issue Computational Heat, Mass, and Momentum Transfer—II)
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15 pages, 2142 KiB  
Article
Heterogeneous Computing (CPU–GPU) for Pollution Dispersion in an Urban Environment
by Gonzalo Fernandez, Mariana Mendina and Gabriel Usera
Computation 2020, 8(1), 3; https://doi.org/10.3390/computation8010003 - 07 Jan 2020
Cited by 8 | Viewed by 3127
Abstract
The use of Computational Fluid Dynamics (CFD) to assist in air quality studies in urban environments can provide accurate results for the dispersion of pollutants. However, due to the computational resources needed, simulation domain sizes tend to be limited. This study aims to [...] Read more.
The use of Computational Fluid Dynamics (CFD) to assist in air quality studies in urban environments can provide accurate results for the dispersion of pollutants. However, due to the computational resources needed, simulation domain sizes tend to be limited. This study aims to improve the computational efficiency of an emission and dispersion model implemented in a CPU-based solver by migrating it to a CPU–GPU-based one. The migration of the functions that handle boundary conditions and source terms for the pollutants is explained, as well as the main differences present in the solvers used. Once implemented, the model was used to run simulations with both engines on different platforms, enabling the comparison between them and reaching promising time improvements in favor of the use of GPUs. Full article
(This article belongs to the Special Issue Computational Heat, Mass, and Momentum Transfer—II)
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