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Recent Research on Heat and Mass Transfer
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Recent Research on Heat and Mass Transfer

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

Deadline for manuscript submissions: 20 August 2025 | Viewed by 1008

Special Issue Editors

Prof. Dr. Stanislaw Witczak

E-Mail Website
Guest Editor
Department of Process and Environmental Engineering, Faculty of Mechanical Engineering, Opole University of Technology, ul. Prószkowska 76, 45-758 Opole, Poland
Interests: multiphase flow; heat transfer; energy
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Krystian Czernek

E-Mail Website
Guest Editor
Department of Process and Environmental Engineering, Faculty of Mechanical Engineering, Opole University of Technology, ul. Prószkowska 76, 45-758 Opole, Poland
Interests: two-phase flow; mass transfer; fluid mechanics; thermal engineering; heat exchangers
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Daniel Janecki

E-Mail Website
Guest Editor
Institute of Environmental Engineering and Biotechnology, University of Opole, 45-040 Opole, Poland
Interests: trickle bed reactor; hydrodynamics; CFD; multiphase flow

Special Issue Information

Dear Colleagues,

Modern trends in heat and mass transfer focus on the use of advanced materials and technologies that increase energy efficiency. More and more attention is being paid to nanofluids, i.e., fluids enriched with nanoparticles that improve thermal conductivity and improve heat exchange. Techniques such as hydrophobization or nanostructuring of surfaces play a key role in increasing the efficiency of energy and matter transfer in various devices. At the micro- and nanoscale, the importance of new heat exchange mechanisms is growing, which are used in sectors such as electronics, medicine and energy. Innovative heat exchangers created using 3D printing technology enable the significant optimization of industrial processes.

Integrated systems that simultaneously use absorption, condensation and evaporation processes, which subsequently increase energy efficiency, are also receiving growing interest. Phase change materials (PCMs) are used in energy storage in heating, ventilation and air conditioning systems and in renewable energy sources. In the energy sector, waste heat recovery technologies are increasingly used, using advanced heat pumps and thermoacoustic exchangers. In the fields of biomedicine and chemistry, the development of new membranes enables the precise separation of substances, supporting mass transfer. Intelligent control systems based on machine learning algorithms help to optimize heat and mass transfer, reducing energy consumption and operating costs.

This Special Issue of Applied Sciences entitled “Recent Research of Heat and Mass Transfer” is addressed to specialists from all over the world who deal with mathematical modeling and experiments on heat and mass transfer. We expect papers dealing with solutions to problems of scientific and industrial relevance in the broad fields of heat and mass transfer. Papers addressed to this Special Issue will not only solve specific engineering problems, but also serve as a catalyst for future directions and priorities in the research and development of heat and mass transfer.

Prof. Dr. Stanislaw Witczak
Prof. Dr. Krystian Czernek
Prof. Dr. Daniel Janecki
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

  • heat transfer
  • mass transfer
  • heat exchangers
  • measurement system

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Published Papers (2 papers)

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Research

26 pages, 3874 KiB  
Article
Optimization of Sensor Positions and Orientations for Multiple Load Case Scenarios
by Wacław Kuś, Waldemar Mucha and Iyasu Tafese Jiregna
Appl. Sci. 2025, 15(13), 7463; https://doi.org/10.3390/app15137463 - 3 Jul 2025
Viewed by 326
Abstract
This paper focuses on optimizing sensor placement in structures for load monitoring applications. Such applications rely on sensor data to track changes in the structure. Monitoring accuracy relies on proper sensor placement. The goal is to maximize load monitoring accuracy under multiple loading [...] Read more.
This paper focuses on optimizing sensor placement in structures for load monitoring applications. Such applications rely on sensor data to track changes in the structure. Monitoring accuracy relies on proper sensor placement. The goal is to maximize load monitoring accuracy under multiple loading scenarios while the number of sensors is kept smaller than the number of load cases. Building on prior work in which machine learning models predicted loads using only sensor readings without information on load location, this study continues that approach. It demonstrates that prediction models perform better when sensor networks are optimized. The novelty lies in a newly formulated objective function, allowing for optimization of sensor number, positions, and orientations across multiple load cases and measurement types. The goal is to minimize the differences between maximal responses of the structure and detected responses by the sensors (for all possible load cases). The method is validated on a numerical model of a composite structure with 1–3 sensors under seven different load cases. Load predictions from sensors in optimized locations are compared to predictions from measurements of randomly positioned sensors. Statistical comparison proved that the developed methods and algorithms allow us to significantly reduce the prediction errors. Full article
(This article belongs to the Special Issue Recent Research on Heat and Mass Transfer)
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23 pages, 5565 KiB  
Article
Advanced Numerical Analysis of Heat Transfer in Medium and Large-Scale Heat Sinks Using Cascaded Lattice Boltzmann Method
by Fatima Zahra Laktaoui Amine, Mustapha El Alami, Elalami Semma, Hamza Faraji, Ayoub Gounni and Amina Mourid
Appl. Sci. 2025, 15(13), 7205; https://doi.org/10.3390/app15137205 - 26 Jun 2025
Viewed by 300
Abstract
Medium- and large-scale heat sinks are critical for thermal load management in high-performance systems. However, their high heat flux densities and limited space complicate cooling, leading to risks of overheating, performance degradation, or failure. This study employs the Cascaded Lattice Boltzmann Method (CLBM) [...] Read more.
Medium- and large-scale heat sinks are critical for thermal load management in high-performance systems. However, their high heat flux densities and limited space complicate cooling, leading to risks of overheating, performance degradation, or failure. This study employs the Cascaded Lattice Boltzmann Method (CLBM) to enhance their thermal performance. This numerical approach is known for being stable, accurate when dealing with complex boundaries, and efficient when computing in parallel. The numerical code was validated against a benchmark configuration and an experimental setup to ensure its reliability and accuracy. While previous studies have explored mixed convection in cavities or heat sinks, few have addressed configurations involving side air injection and boundary conditions periodicity in the transition-to-turbulent regime. This gap limits the understanding of realistic cooling strategies for compact systems. Focusing on mixed convection in the transition-to-turbulent regime, where buoyancy and forced convection interact, the study investigates the impact of Rayleigh number values (5×107 to 5×108) and Reynolds number values (103 to 3×103) on heat transfer. Simulations were conducted in a rectangular cavity with periodic boundary conditions on the vertical walls. Two heat sources are located on the bottom wall (Th = 50 °C). Two openings, one on each side of the two hot sources, force a jet of fresh air in from below. An opening at the level of the cavity ceiling’s axis of symmetry evacuates the hot air. Mixed convection drives the flow, exhibiting complex multicellular structures influenced by the control parameters. Calculating the average Nusselt number (Nu) across the surfaces of the heat sink reveals significant dependencies on the Reynolds number. The proposed correlation between Nu and Re, developed specifically for this configuration, fills the current gap and provides valuable insights for optimizing heat transfer efficiency in engineering applications. Full article
(This article belongs to the Special Issue Recent Research on Heat and Mass Transfer)
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