Advances of Mathematical Modeling in Fluid Mechanics
A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Mathematical Analysis".
Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 3995
Special Issue Editor
Interests: absorption refrigeration with solar energy and nanofluids; biofuels; automatization
Special Issue Information
Dear Colleagues,
The mathematical modeling of fluid mechanics has great relevance, mainly due to the multiple applications of statics and fluid flow in the process industry. Although advances in experimental techniques make it possible to predict fluid flow in some applications, experimental methods cannot reveal in detail all the physical mechanisms behind fluid flow. Therefore, it is necessary to develop modeling and simulation techniques to better understand the physics of fluid flow. Mathematical modeling and simulation are useful for obtaining detailed information that cannot be revealed from experiments, as well as for examining the effect of various physical parameters on fluid flow behavior. This Special Issue focuses on the recent advances of mathematical modeling in fluid mechanics, emphasizing its recent developments and its use in many industrial and academic applications. We welcome papers on new modeling techniques that address the key issues and difficulties inherent in simulating fluid mechanics. Manuscripts in the following research areas, but not limited to, are welcome:
- Instrumentation and power fluids;
- Fluid mechanics in transport, energy and industrial production.
- Ocean currents, cooling system fluids and flue gas flow;
- Biofluids; biofuels;
- Multiphase flows;
- Nanofluids;
- Microflows and nanoflows;
- Fluid flow in porous media;
- Non-Newtonian fluids;
- Multiphysics problems such as magnetohydrodynamics, MHD;
- Hypersonic flows;
- Aero and hydrodynamics;
- Compressible flow;
- Neural networks in fluid mechanics.
Prof. Dr. Alejandro Zacarías
Guest Editor
Manuscript Submission Information
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Keywords
- fluid statics
- power fluids
- biofuels
- nanofluids
- microflow and nanoflow fluids
- cooling system fluids
- compressible flow
- non-Newtonian fluids
- flue gas flow
- fluid flow in neural networks
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