Conference

Session Identifier: WS1 - WORKSHOP
Title: Coupling Discrete Element Method and Computational Fluid Dynamics
WS Leaders: Prof. Viktor Scherer, Ruhr-University Bochum, Bochum, Germany
WS Co-organizer: Prof. Dominique Thévenin, Otto von Guericke Universität, Magdeburg, Germany

The present workshop provides a broad view on the description of solid particulate flows with a focus on the combination between Discrete Element Method (DEM) and Computational Fluid Dynamics (CFD), and presents illustrative examples of its application. In the context of DEM/CFD, reacting flows lead to specific challenges that are discussed in several contributions. The need for validation data based on accurate experiments in complex geometries is also highlighted. Several contributions consider pyrolysis, but the workshop is also open for many other applications of particulate flows. Novel trends like the usage of machine learning to enrich DEM/CFD, the combination of resolved and unresolved DEM/CFD in one domain, new approaches regarding the Immersed Boundary Method to describe such systems are also discussed. The organizers are convinced that visiting this workshop will provide an overview of current advances and challenges connected to DEM/CFD simulations.

Number of presentations: 5

#115
Rezvan Abdi, Bo Jaeger, Torben Bergold, Enric Illana, Martin Schiemann, Viktor Scherer
Influence of packing density on the calcination process for lime production: A DEM-CFD study

#109
Ninghua Zhan, Enqi Liu, Andrea Dernbecher, Nicole Vorhauer-Huget, Rui Wu, Alba Diéguez Alonso, Abdolreza Kharaghani
Detailed characterisation of pore structure and transport properties of biomass particles during pyrolysis

#112
Ali Mjalled, Bo Jaeger, Reza Namdar, Lucas Mieg, Enric Illana, Fathollah Varnik, Viktor Scherer, Martin Mönnigmann
Enhancing DEM-CFD simulations with machine-learning-based locally resolved Nusselt number correlations

#96
Davide Mapelli, Don Dasun Attanayake, Berend van Wachem, Fabian Sewerin
Combining the partially stirred reactor with a DEM description: The pyrolysis of biomass

#114
Jürgen Abraham, Martin Gruber, Alexander Kospach, Mohammadsadegh Salehi, Stefan Radl
A compressible two-fluid model for the simulation of triboelectrification

Session Identifier: WS2 - WORKSHOP
Title: Swirling Flows
WS Leader: Prof. Đorđe Čantrak, Department of Hydraulic Machinery and Energy Systems, University of Belgrade - Faculty of Mechanical Engineering, Belgrade, Serbia
WS Co-organizer: Prof. Alexander S. Ćoćić, University of Belgrade - Faculty of Mechanical Engineering, Chair for Fluid Mechanics, Belgrade, Serbia

Turbulent swirling flow is one of the most challenging questions that occurs in classical, as well as in modern, both, theoretical and applied fluid mechanics. Submitted papers contribute to theoretical, numerical and experimental research of the turbulent swirling flow in the field of turbomachinery, especially axial fans inbuilt in pipes, as well as in the case when they are used as generators for jet flows. Discussions on turbulence models, as well as application of OpenFOAM and Ansys softwares are always interesting in the research of the turbomachinery driven flows. Complex experimental measurement techniques, such as three-component laser Doppler velocimetry, hot-wire anemometry and particle image velocimetry, are implemented and presented in the papers. One paper deals with application of acoustic modulation for control of the vortex structures in the axisymmetric air jet. In addition, an interesting question in the field of numerics - parallelization on GPU system will attract readers’ attention.

Number of presentations: 5

#60
Aleksandar Ćoćić, Balazs Pritz
Numerical analysis of swirling flow induced by axial fan

#65
Novica Z. Janković, Đorđe S. Čantrak, Dejan B. Ilić, Miloš S. Nedeljković
Development of the turbulent swirling flow velocity profiles in the axial fan jet

#71
Nikola Ćetenović, Dejan Cvetinović, Aleksandar Erić, Đorđe Čantrak, Jaroslav Tihon, Kazuyoshi Nakabe, Kazuya Tatsumi
Low-amplitude acoustic modulation as a tool for controlling the vortex structures of the turbulent axisymmetric air jet

#98
Ivan Tomanović, Srdjan Belošević, Nenad Crnomarković, Aleksandar Milićević
Using Jacobi Method to solve the two-equation turbulence model for parallelization on GPU computing system

#99
Milan Bulajić, Novica Janković, Lazar Lečić
Experimental and numerical investigation of the turbulent swirling flow in pipe behind the axial fan impeller

Session Identifier: WS3 - WORKSHOP
Title: Coupling Discrete Element Method and Computational Fluid Dynamics
WS Leader: Prof. Viktor Scherer, Ruhr-University Bochum, Bochum, Germany
WS Co-organizer: Prof. Dominique Thévenin, Otto-von-Guericke-Universität Magdeburg, Magdeburg, Germany

The present workshop provides a broad view on the description of solid particulate flows with a focus on the combination between Discrete Element Method (DEM) and Computational Fluid Dynamics (CFD), and presents illustrative examples of its application. In the context of DEM/CFD, reacting flows lead to specific challenges that are discussed in several contributions. The need for validation data based on accurate experiments in complex geometries is also highlighted. Several contributions consider pyrolysis, but the workshop is also open for many other applications of particulate flows. Novel trends like the usage of machine learning to enrich DEM/CFD, the combination of resolved and unresolved DEM/CFD in one domain, new approaches regarding the Immersed Boundary Method to describe such systems are also discussed. The organizers are convinced that visiting this workshop will provide an overview of current advances and challenges connected to DEM/CFD simulations.

Number of presentations: 5

#110
Bo Jaeger, Rezvan Abdi, Enric Illana, Viktor Scherer
Investigating the influence of particle shape on the pyrolysis of thermally thick particles in DEM/CFD

#93
Reza Namdar, Mohammad Norouzi, Fathollah Varnik
An application of machine learning to compute thermochemistry of reactive flows: A mixture of experts approach

#113
Michael Mitterlindner, Daniel Berger, Maximilian Graber, Regina Kratzer, Markus Reichhartinger, Stefan Radl
An open workflow for unsupervised clustering of fluid-particle flows into compartments

#111
Wojciech Sadowski, Christin Velten, Maximilian Brömmer, Hakan Demir, Francesca Di Mare1, Katharina Zähringer, Viktor Scherer
Numerical and experimental investigation of low Reynolds number flow in a packed bed of rotated bars

#41
Farshad Gharibi, Dominique Thévenin
Equilibrium Positions and Dynamic behavior of thermal prolate particles in shear flow: Influence of particle size

Session Identifier: WS4 - WORKSHOP
Title: Workshop on Fluid Mechanics education – how to boost for Generation Z?
WS Leader: Prof. János Vad, Department of Fluid Mechanics, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest, Hungary

I have been delivering old-school lectures in Fluid Mechanics (FM) for several years – blackboard and white chalk; fundamentals of underlying physics, colorized by practical examples from everyday life, and by industrial stories from personal experience; soliciting the students to make drawings for fun… Recently, I included visual inserts – photos, videos – in the course, and also provoked some interaction with the students by means of interrupting the lecture with proactive questions, being voluntarily answered by the ambitious students for premium scores. As the official qualification of the lecture series by the students shows, the course is evaluated as a high-rank one – but why, and for how long? I must realize that my students are of Generation Z (born between 1997 and 2012), and thus, they are fully immersed in the digital world. If I disregard this fact, my beloved FM course may collapse in a few years! How to follow the view “Be true to thyself”, and thus, to retain the features of value of my classic lecture – and, how to simultaneously accommodate the Gen Z attitude? What will be my actual role, and the exclusive value added by myself – as a human – in FM lectures after three or five years? How to educate “materialized” engineering responsibility in a virtuality-dominated world? How not just to tolerate but even to benefit from the routine use of smartphones and Internet by the students during the courses? How to involve AI? How to “keep it simple”, by means of developing a common language for grabbing the attention, and for quickly sharing essential pieces of information? How to tailor FM education for fitting to the demands of industries becoming soon the employers of Gen Z students? How to share the job outlined above among the large-group lecture, small-group seminars, and laboratory teamwork? How to convince Gen Z students that we are on the same side? How to boost FM courses for Gen Z?

Session Identifier: WS5 - WORKSHOP
Title: Atmospheric Flows Workshop: Uncertainty Analysis from Measurements to Model Interpretation
WS Leader: Dr. Tamás Weidinger, Department of Meteorology, Institute of Geography and Earth Sciences, Faculty of Sciences, Eötvös Loránd University, Budapest, Hungary

The process of knowledge acquisition spans from measurements through data processing to modeling and the interpretation of results. Each stage of this process is subject to uncertainties and errors. This is true for problems in fluid dynamics as well as for meteorological, hydrological, and climate predictions. Various models — be they weather, climate, hydrological, or flow solvers — share a number of common methodological elements and solutions. These include the construction of initial and boundary conditions, the use of measurements and large-scale model outputs (i.e., model initialization), and the optimization of model parameterizations (e.g., cloud and precipitation formation, turbulent diffusion). The identification of uncertainty sources and the assessment of their impact also require similar types of analysis. This is especially relevant when interpreting results from an engineering perspective, understanding outputs of meteorological and climate models, or preparing forecasts for renewable energy production (such as wind and solar power). The aim of the workshop is to identify and quantify sources of uncertainty, taking into account the specific characteristics of the various disciplines.

Number of presentations: 6

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Ádám Leelősy, András Csontos
Diagnosing atmospheric balances in machine learning weather prediction

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Zsófia Szalkai
Testing the Stochastically Perturbed Parameterizations in the regional ensemble weather prediction system of HungaroMet

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Noémi Sarkadi, István Geresdi
Uncertainty about the ice crystal concentration in clouds, where models and measurements diverge

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Soma Oláh
Machine learning-based solar irradiance nowcasting system development at HungaroMet

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Lilla Barancsuk, Veronika Groma
Uncertainty quantification and feature importance in image-feature-based solar irradiation nowcasting

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Erzsébet Kristóf, Tímea Kalmár
The effect of global warming on the photovoltaic potential in East-Central Europe based on GCM simulations

Session Identifier: WS6 - WORKSHOP
Title: Advances in Biomedical Flows
WS Leader: Dr. Benjamin Csippa, Department of Hydrodynamic Systems, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest, Hungary

Advances in Biomedical Flows is a workshop designed to present recent developments in computational and experimental studies related to physiological fluid mechanics. The main topics include numerical modeling of intracranial aneurysm treatments, analysis of flow diverter performance based on in-vitro measurements, and characterization of chaotic flow behavior within aneurysms. Additionally, the workshop will address reduced-order modeling techniques applied to gas exchange processes in lung alveoli. Discussions will emphasize practical methodologies, validation approaches, and their implications for clinical applications. The workshop aims to facilitate collaboration between computational scientists, experimental researchers, and medical practitioners, highlighting challenges and future directions for translating fluid mechanics research into clinical practice.

Session Identifier: WS7 - WORKSHOP
Title: Atmospheric Flows Workshop: Uncertainty Analysis from Measurements to Model Interpretation
WS Leader: Prof. Gergely Kristóf, Department of Fluid Mechanics, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest, Hungary

The process of knowledge acquisition spans from measurements through data processing to modeling and the interpretation of results. Each stage of this process is subject to uncertainties and errors. This is true for problems in fluid dynamics as well as for meteorological, hydrological, and climate predictions. Various models — be they weather, climate, hydrological, or flow solvers — share a number of common methodological elements and solutions. These include the construction of initial and boundary conditions, the use of measurements and large-scale model outputs (i.e., model initialization), and the optimization of model parameterizations (e.g., cloud and precipitation formation, turbulent diffusion). The identification of uncertainty sources and the assessment of their impact also require similar types of analysis. This is especially relevant when interpreting results from an engineering perspective, understanding outputs of meteorological and climate models, or preparing forecasts for renewable energy production (such as wind and solar power). The aim of the workshop is to identify and quantify sources of uncertainty, taking into account the specific characteristics of the various disciplines.

Number of presentations: 6

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Gabriella Szépszó, Gabriella Allaga-Zsebeházi
Sensitivity studies for reduction of the summer heat stress in Budapest

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Márton Koren, Gergely Kristóf
Learned upper boundary windshear conditions for Large Eddy Simulation

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Miklós Balogh
Non-hydrostatic atmospheric simulations in OpenFOAM

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Péter Torma, Dénes Szieberth, Reska Zsombor, Gabriella Lükő
Sudden flips in the circulation field of a geothermal crater lake (Lake Hévíz)

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Tamás Weidinger
Handbook within the framework of the COST-FAIRNESS Program – Etzinger, J. Foken, Th., Lalic, B., Weidinger, T. (eds:) Micrometeorological Measurements – An Introduction for Beginners, Springer (STEGE)

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Ágoston Vilmos Tordai, Róbert Mészáros
Mobile air quality monitoring: Challenges and uncertainties in urban-scale measurements