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Fluids
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Particulate Flows: Advances in Engineering, Science, and Health Applications
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Particulate Flows: Advances in Engineering, Science, and Health Applications

A special issue of Fluids (ISSN 2311-5521). This special issue belongs to the section "Flow of Multi-Phase Fluids and Granular Materials".

Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 3703

Special Issue Editor

Dr. Krishna Kota

E-Mail Website
Guest Editor
Department of Mechanical and Aerospace Engineering, New Mexico State University, Las Cruces, NM 88003-8001, USA
Interests: particulate flows in energy, water, and health; novel surfaces and fluids; single-phase and phase change heat transfer on engineered surfaces; thermal management; long-duration space transportation; water desalination; energy systems and components

Special Issue Information

Dear Colleagues,

We invite you to share your research through this Special Issue of Fluids seeking research papers, reviews, or short communications that discuss recent advances in theory, modeling, experiments, flow visualization, or data analytics of particulate flows.

Particulate flows in gaseous and liquid media are encountered in various natural and built environments around us and exist in numerous applications. Examples include the dispersion of bioaerosols such as bacteria, fungi, and viruses in air and water; diffusion of natural and anthropogenic particulates including dust, dirt, dander, pollen, mold spores, volatile organic compounds, soot, and smog; spreading of fine metal particles in an additive manufacturing facility; flows in microfluidic drug delivery and spray medication systems or lab-on-a-chip devices; particulate slurry flows in energy and thermal transport; transportation of solids; geotechnical engineering; purification and transportation of water; biological flows; or fluidization beds and emission processes in combustion.

All the associated physical and practical aspects of particulate flows, including flow behavior and dynamics in gaseous and liquid media and extreme environments, interaction with the surroundings, filtration, separation, mixing, heat and mass transfer, and multiscale analysis in engineering, science, and health applications are of interest.

This Special Edition is expected to serve as a valuable knowledge base that will help to improve the design of air and water quality monitors and sensors, filters, separators, mixers, drug delivery systems, and even face masks, among other engineering and health devices.

Dr. Krishna Kota
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. Fluids 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

  • particulate flow
  • particle-laden flow
  • particulate suspension flow
  • slurry flow
  • aerosol flow

Published Papers (2 papers)

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Research

22 pages, 19434 KiB  
Article
Aerodynamic Prediction of Time Duration to Becoming Infected with Coronavirus in a Public Place
by Abd Alhamid R. Sarhan, Parisa Naser and Jamal Naser
Fluids 2022, 7(5), 176; https://doi.org/10.3390/fluids7050176 - 20 May 2022
Cited by 3 | Viewed by 1625
Abstract
The COVID-19 pandemic has caused panic and chaos that modern society has never seen before. Despite their paramount importance, the transmission routes of coronavirus SARS-CoV-2 remain unclear and a point of contention between the various sectors. Recent studies strongly suggest that COVID-19 could [...] Read more.
The COVID-19 pandemic has caused panic and chaos that modern society has never seen before. Despite their paramount importance, the transmission routes of coronavirus SARS-CoV-2 remain unclear and a point of contention between the various sectors. Recent studies strongly suggest that COVID-19 could be transmitted via air in inadequately ventilated environments. The present study investigates the possibility of the aerosol transmission of coronavirus SARS-CoV-2 and illustrates the associated environmental conditions. The main objective of the current work is to accurately predict the time duration of getting an infection while sharing an indoor space with a patient of COVID-19 or similar viruses. We conducted a 3D computational fluid dynamics (CFD)-based investigation of indoor airflow and the associated aerosol transport in a restaurant setting, where likely cases of airflow-induced infection of COVID-19 caused by asymptomatic individuals were reported in Guangzhou, China. The Eulerian–Eulerian flow model coupled with the k-Ɛ turbulence approach was employed to resolve complex indoor processes, including human respiration activities, such as breathing, speaking, and sneezing. The predicted results suggest that 10 minutes are enough to become infected with COVID-19 when sharing a Table with coronavirus patients. The results also showed that although changing the ventilation rate will improve the quality of air within closed spaces, it will not be enough to protect a person from COVID-19. This model may be suitable for future engineering analyses aimed at reshaping public spaces and indoor common areas to face the spread of aerosols and droplets that may contain pathogens. Full article
(This article belongs to the Special Issue Particulate Flows: Advances in Engineering, Science, and Health Applications)
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14 pages, 843 KiB  
Article
Optimization of a Micromixer with Automatic Differentiation
by Julius Jeßberger, Jan E. Marquardt, Luca Heim, Jakob Mangold, Fedor Bukreev and Mathias J. Krause
Fluids 2022, 7(5), 144; https://doi.org/10.3390/fluids7050144 - 22 Apr 2022
Cited by 2 | Viewed by 1751
Abstract
As micromixers offer the cheap and simple mixing of fluids and suspensions, they have become a key device in microfluidics. Their mixing performance can be significantly increased by periodically varying the inlet pressure, which leads to a non-static flow and improved mixing process. [...] Read more.
As micromixers offer the cheap and simple mixing of fluids and suspensions, they have become a key device in microfluidics. Their mixing performance can be significantly increased by periodically varying the inlet pressure, which leads to a non-static flow and improved mixing process. In this work, a micromixer with a T-junction and a meandering channel is considered. A periodic pulse function for the inlet pressure is numerically optimized with regard to frequency, amplitude and shape. Thereunto, fluid flow and adsorptive concentration are simulated three-dimensionally with a lattice Boltzmann method (LBM) in OpenLB. Its implementation is then combined with forward automatic differentiation (AD), which allows for the generic application of fast gradient-based optimization schemes. The mixing quality is shown to be increased by 21.4% in comparison to the static, passive regime. Methodically, the results confirm the suitability of the combination of LBM and AD to solve process-scale optimization problems and the improved accuracy of AD over difference quotient approaches in this context. Full article
(This article belongs to the Special Issue Particulate Flows: Advances in Engineering, Science, and Health Applications)
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