Advances in the Lattice Boltzmann Method for Fluid Dynamics and Materials Processing

Submission Deadline: 31 May 2027 View: 27 Submit to Special Issue

Guest Editor(s)

Prof. Dr. Ridha DJEBALI

Email: ridha.djebali@ipein.rnu.tn

Affiliation: UR Modeling, Optimization and Augmented Engineering, ISLAIB, University of Jendouba, Beja, Tunisia

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Research Interests: spans plasma jets, thin coatings, CFD (LBM, FVM, FEM using Fortran, Python, ANSYS Fluent, COMSOL), MHD, nanofluids, drying, control systems, robotics, energy storage (EKF, LSTM, BiLSTM), PCM, pyrolysis, and MHX efficiency

Prof. Dr. Mohamed Ammar ABBASSI

Email: abbassima@gmail.com

Affiliation: Department of Energy Engineering and Enviroment Technologies, University of Gafsa, Gafsa, Tunisia

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Research Interests: radiative heat transfer, pyrolysis, gasification, heat transfer, nanofluid flow, magnetohydrodynamics, and biofuel production

Prof. Dr. Hamza FARAJI

Email: hamza.faraji@uca.ac.ma

Affiliation: National School of Applied Sciences, Cadi Ayyad University, Marrakech, Morocco

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Research Interests: thermal energy storage systems, phase change materials (pcms) for energy applications, heat transfer enhancement techniques, nanomaterials in thermal management, computational fluid dynamics (cfd) in energy systems, sustainable and renewable energy technologies, thermal management of electronics, multiphase flow and mass transfer, energy efficiency and optimization of thermal systems

Dr. Mokhtar FERHI

Email: mokhtar.ferhi@ensit.rnu.tn

Affiliation: UR Modeling, Optimization and Augmented Engineering, ISLAIB, University of Jendouba, Beja, Tunisia

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Research Interests: fluid mechanics, numerical simulation, numerical modeling, cfd, numerical analysis, comsol, micro heat exchangers, heat transfer, response surface methodology, optimization

Summary

The Lattice Boltzmann Method (LBM) has emerged as a robust and flexible computational framework for the simulation of complex fluid flows, heat and mass transfer, and coupled multiphysics phenomena across a wide range of spatial and temporal scales. Its mesoscopic nature makes it particularly well suited for capturing interfacial dynamics, transport processes, and flow–structure interactions that are central to many problems in fluid mechanics and materials science.

This Special Issue aims to gather high-quality contributions that advance both the fundamental understanding and the engineering applications of LBM, with particular emphasis on problems relevant to fluid dynamics–driven materials processing and multiphase systems, in line with the scope of Fluid Dynamics & Materials Processing (FDMP). We welcome original research articles, authoritative reviews, and application-oriented studies demonstrating the potential of LBM in realistic industrial and scientific contexts.

Aims & Scope
Topics of interest include, but are not limited to:
· Multiphase and multicomponent flows
Interfacial dynamics, droplet and bubble behavior, phase separation, solidification/melting, and flows with phase change relevant to materials processing.
· Transport phenomena at micro- and nano-scales
Rarefied flows, electrokinetic effects, transport in microfluidic systems, and nanoscale heat and mass transfer.
· Flows in porous and heterogeneous media
Reactive transport, filtration, subsurface flows, and applications to energy systems and geosciences, including complex permeability and multiscale effects.
· Thermal and convective processes
Heat transfer enhancement, thermal management, buoyancy-driven flows, and applications to high-temperature and high-gradient processes.
· Fluid–structure interaction and complex geometries
Coupling between fluid flow and deformable or moving boundaries, particulate flows, and flows in intricate or evolving domains.
· LBM in materials science and processing
Crystal growth, solidification, additive manufacturing, multiphase flows in metallurgical and polymer processes, and transport phenomena in advanced materials.
· Hybrid and multiscale computational approaches
Coupling LBM with FEM/FVM/VOF/level-set methods, as well as integration with data-driven methods, machine learning, and optimization techniques.

Why This Special Issue?
The Lattice Boltzmann Method continues to expand its role as a key enabler for simulating complex, multiphysics flow phenomena, particularly in areas where traditional continuum approaches face limitations. Its growing relevance in materials processing, multiphase systems, and industrial applications makes it especially aligned with the mission of FDMP.

This Special Issue aims to provide a focused platform for the latest developments in LBM, fostering interaction between fundamental research and applied engineering, and highlighting advances that can impact both academia and industry. A rigorous peer-review process, efficient editorial handling, and broad dissemination will ensure the visibility and scientific impact of the published contributions.

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