Journal of Artificial Intelligence in Fluid Dynamics https://theeducationjournals.com/index.php/jaifd <p>The <em>Journal of Artificial Intelligence in Fluid Dynamics</em> is a pioneering publication at the intersection of two rapidly evolving fields: artificial intelligence (AI) and fluid dynamics. Fluid dynamics, a branch of physics and engineering, focuses on the study of fluid flow behavior, encompassing phenomena such as turbulence, heat transfer, and multiphase flows. In recent years, the integration of AI techniques has revolutionized the study and application of fluid dynamics, offering novel approaches to modeling, simulation, and optimization.</p> <p>This journal serves as a scholarly platform for researchers and practitioners to explore the synergies between AI and fluid dynamics, driving innovation and pushing the boundaries of what is achievable in the field. Through a combination of theoretical analyses, computational simulations, and experimental studies, contributors to the journal elucidate the role of AI in enhancing our understanding of complex fluid phenomena and improving predictive capabilities.</p> <p>The scope of the journal encompasses a wide range of topics, including computational fluid dynamics (CFD), machine learning, deep learning, neural networks, genetic algorithms, and optimization techniques applied to fluid flow problems. Articles may delve into areas such as flow control, turbulence modeling, aerodynamics, hydrodynamics, combustion, and biofluid mechanics, among others.</p> <p>Researchers in academia, industry, and government agencies find invaluable insights within the pages of this journal, as it offers a platform for sharing groundbreaking research, innovative methodologies, and practical applications. Whether it's developing AI-driven algorithms for turbulence modeling, optimizing flow patterns in engineering systems, or predicting fluid behavior in natural phenomena, the journal showcases the latest advancements and fosters interdisciplinary collaboration.</p> <p>Moreover, the journal addresses broader implications and challenges associated with the integration of AI in fluid dynamics, including algorithmic robustness, data-driven modeling, uncertainty quantification, and ethical considerations. By critically examining these issues, the journal contributes to the responsible and ethical deployment of AI technologies in fluid dynamics research and applications.</p> <p>In summary, the <em>Journal of Artificial Intelligence in Fluid Dynamics</em> is a leading publication that catalyzes innovation at the interface of AI and fluid dynamics, driving progress and pushing the boundaries of scientific knowledge in both fields.</p> en-US Journal of Artificial Intelligence in Fluid Dynamics Investigation of the enthalpy of Vaporization for carbon dioxide gas with fixed Temperature condition https://theeducationjournals.com/index.php/jaifd/article/view/131 <p>Enthalpy of vaporization, which asserts that when heat or enthalpy is applied to any liquid substance at a specific pressure and temperature, the liquid turns into a gaseous form, is a crucial characteristic of any liquid. Thus, a change from one state to another takes place. In this work, the Enthalpy of vaporization study is carried out on CO2 gas to understand the variation in it with a change in pressure at a fixed constant temperature. The work is further extended to multiple temperatures, to understand the effect of pressure and temperature change simultaneously on enthalpy. It was found that the enthalpy is directly proportional to pressure and temperature.</p> Jai krishna sahith Copyright (c) 2025 2022-09-10 2022-09-10 1 1 1 10 Investigation of the total entropy for carbon dioxide gas with a constant Temperature condition https://theeducationjournals.com/index.php/jaifd/article/view/130 <p>The amount of thermal energy per unit of temperature in a system that cannot be used to carry out beneficial work is known as entropy. Entropy is a measure of a system's molecular disorder or unpredictability since work is produced by organized molecular motion. It aids in figuring out an object's thermodynamic condition. A little thought will reveal that a spontaneous process shifts from a less probable condition to a more probable state when it occurs. It expresses the condition of a body in the same way as temperature, pressure, volume, internal energy, and magnetic behavior. So, in this work, the entropy details of the CO2 gas at various pressure and temperature conditions are discussed. It was observed that the entropy of the system is highly dependent on the pressure of the gas in a closed system. Also, the entropy is directly proportional to the pressure of the gas.</p> Ismail Husein Copyright (c) 2025 2022-09-10 2022-09-10 1 1 11 20 An Overview on basics of Computational Fluid Dynamics https://theeducationjournals.com/index.php/jaifd/article/view/129 <p>CFD – Computational Fluid Mechanics gives mathematical approximation for the equations which control motion of fluid. CFD application to analyse the problem of a fluid involves the following stages. Firstly, the numerical expressions defining the flow of fluid were developed. They are generally a collection of PDE – Partial Differential Equations. These solutions are then partitioned to provide a mathematical counterpart of the expressions. The area is then partitioned into little grids or elements. Finally, the initial circumstances as well as the initial conditions of given problem are employed to solve those equations. All Computational Fluid Dynamics (CFD) codes comprise three basic elements: (1) A pre-processor, that is utilized to feed the issue geometry, create the grid, as well as explain the flow parameter as well as the initial conditions to a code. (2) A flow solver, that is used to solve the governing equations of flow pursuant to the conditions specified. There are 4 distinct approaches utilized as a flow solver: I finite difference technique; (ii) finite element technique, (iii) finite volume technique. (3) A post-processor, that is used to manipulate the information and provide the outcomes in graphical &amp; easy to read manner.</p> NETKACHEV Aleksandr Prof. VENKATESWARA RAO KAMIREDDI Copyright (c) 2025 2022-09-10 2022-09-10 1 1 21 30 An Overview on Heat Transfer and the Evolution of Thermal Stress in Solid Oxide Fuel Cells https://theeducationjournals.com/index.php/jaifd/article/view/132 <p>To reduce carbon emissions, solid oxide fuel cells (SOFCs) transform chemical energy into electricity directly. Nevertheless, since SOFCs operate at very high temperatures (600 C to 1000 C), it can be difficult to provide constant stability in electrical power output. Even more concerning is the fact that the SOFC assembling stack is rigid, making it vulnerable to heat stress, which in turn can cause mechanical deformation and, ultimately, a shorter lifetime for the SOFC system. The life expectancy of a SOFC system can be increased by detecting a consistent temperature gradient all across stack, which reduces the thermal stress distributions across the stack. The research analyses the relationship in between the temperature gradients and thermal stress distributions, generating heat sources, heat transfer mechanisms, and temperature gradients and heat transfers.</p> Seshu Kumar Vandrangi Copyright (c) 2025 2022-09-10 2022-09-10 1 1 31 40 An Overview on Applications of Computational Fluid Dynamics https://theeducationjournals.com/index.php/jaifd/article/view/128 <p>CFD – Computational Fluid Dynamics was established as a method of selection for solving issues that involves one/more of following phenomena: fluids flow, transfer of heat, transfer of mass &amp; chemical reaction. The current study covers the prominent aspects as well as actual CFD techniques application worked out over the last more than 5 decades in different sections related to industry with the purpose of how &amp; where it might be implemented. As computer hardware and software resources improve, it is expected that CFD will provide even more chances for analysing industrial activity.</p> Zaizul Ab Rahman Copyright (c) 2025 2025-01-29 2025-01-29 1 1 41 50