Science topic

# Fluid Mechanics - Science topic

Fluid mechanics is the study of fluids and the forces on them. Fluid mechanics can be divided into fluid statics, the study of fluids at rest; fluid kinematics, the study of fluids in motion; and fluid dynamics, the study of the effect of forces on fluid motion.

Publications related to Fluid Mechanics (10,000)

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Buku ini merupakan komplemen dari buku ajar “Mekanika Fluida: Teori Fundamental dan Aplikasinya”. Soal-soal yang kreatif dan menantang disajikan dalam buku ini disertai dengan penyelesaian yang runtut dan mudah dipahami.
Membaca dan berlatih dengan buku ini, insan cendekia dari berbagai disiplin ilmu akan cepat memahami ilmu Mekanika Fluida dan da...

Hydraulic turbine is the main building block of any micro hydro power plant (MHPP). In this paper, the selection criterion of a suitable type of turbine for low head micro hydro schemes has been discussed briefly. Again a general design procedure and fabrication process of Cross-Flow Hydro Turbines (CFHT) has been described in this paper. A soft pr...

The advent of 3D construction printing has ushered in a revolutionary era, demanding deeper insights into the understanding of cementitious fluid materials. Despite notable progress in additive manufacturing technologies, traditional rheological models (i.e., Bingham Plastic and Herschel-Bulkley) due to asymptotic behaviors of its plastic viscosity...

Numerous studies have explored the link between bacterial swimming and the number of flagella, a distinguishing feature of motile multi-flagellated bacteria. We revisit this open question using augmented slender-body theory simulations, in which we resolve the full hydrodynamic interactions within a bundle of helical filaments rotating and translat...

Measuring dynamic liquid surfaces is a significant challenge in fluid mechanics and sloshing dynamics, with a notable lack of high-precision, effective full-field measurement methods. To resolve this challenge, this research proposes a speckle projection-based 3D digital image correlation (3D-DIC) method for the measurement of dynamic liquid surfac...

Traditional methods for solving physical equations in curved spaces, especially in fluid mechanics and general relativity, rely heavily on the use of Christoffel symbols. These symbols provide the necessary corrections to account for curvature in differential geometries but lead to significant computational complexity, particularly in numerical sim...

Computational fluid dynamics (CFD) is a specialised branch of fluid mechanics that utilises numerical methods and algorithms to solve and analyze fluid-flow problems. One promising avenue to enhance CFD is the use of quantum computing, which has the potential to resolve nonlinear differential equations more efficiently than classical computers. Her...

Complex flows are often characterized using the theory of Lagrangian coherent structures (LCS), which leverages the motion of flow-embedded tracers to highlight features of interest. LCS are commonly employed to study fluid mechanical systems where flow tracers are readily observed, but they are broadly applicable to dynamical systems in general. A...

Large time dynamics of reaction-diffusion systems modeling some irreversible reaction networks are investigated. Depending on initial masses, these networks possibly possess boundary equilibria, where some of the chemical concentrations are completely used up. In the absence of these equilibria, we show an explicit convergence to equilibrium by a m...

This article develops a simple hybrid localized mesh-free method (LMM) for the numerical modeling of new mixed subdiffusion and wave-diffusion equation with multi-term time-fractional derivatives. Unlike conventional multi-term fractional wave-diffusion or subdiffusion equations, this equation features a unique time-space coupled derivative while s...

Understanding the dynamics of hyperbolic balance laws is of paramount interest in the realm of fluid mechanics. Nevertheless, fundamental questions on the analysis and the numerics for distinctive hyperbolic features related to turbulent flow motion remain vastly open. Recent progress on the mathematical side reveals novel routes to face these conc...

Acceleration of objects in fluids widely exists in biological propulsions and contains rich unsteady fluid mechanisms. In this paper, the instantaneous drag force on accelerating normal flat plates (circular, elliptical, square, and rectangular plates) in a wide range of dimensionless acceleration (a*=16∼2) is measured, and the underlying mechanism...

The manuscripts presented in this Special Issue will both present engineering analyses of problems of contemporary importance in fluid mechanics and hydrodynamics and describe historical water systems and the technologies used to design and operate them by ancient Old and New World water engineers [...]

The Eifel Volcanic Field (EVC) is one of the best-known intraplate volcanic fields on earth. Carbonatitic ejecta were already described at the beginning of the last century and were associated with volcanism. The investigation of carbonatitic tephra from the EVC, the Kaiserstuhl (KVC) and El Hierro (EHSR) with regard to shape, size, composition and...

We use parsimonious diffusion maps (PDMs) to discover the latent dynamics of high-fidelity Navier–Stokes simulations with a focus on the two-dimensional (2D) fluidic pinball problem. By varying the Reynolds number Re, different flow regimes emerge, ranging from steady symmetric flows to quasi-periodic asymmetric and chaos. The proposed non-linear m...

Heat exchangers, whose main function is the exchange of heat between two fluids that are at different temperatures preventing mixing; are widely used in heating and air conditioning, cooling towers, boilers and others. Today, they are used in mining in order to improve the quality of the work area, for the normal performance of workers and obtain g...

A macroscopic model for perfect-slip flow in porous media is derived in this work, starting from the pore-scale flow problem and making use of an upscaling technique based on the adjoint method and Green's formula. It is shown that the averaged momentum equation has a Darcy form in which the permeability tensor, $\boldsymbol{\mathsf{K}}_{ps}$ , is...

Whole genome sequencing (WGS) has become a gold standard for diagnosing genomic variation. Peripheral blood is a common sample source for the extraction of nucleic acids for Next-Generation Sequencing (NGS) applications. Here, we present an integrated and fully automated device design that uses new concepts of fluid mechanics, heat-mass transfer, a...

The dynamic behaviour of granular media can be observed widely in nature and in many industrial processes. Yet, the modelling of such media remains challenging as they may act with solid-like and fluid-like properties depending on the rate of the flow and can display a varying apparent friction, cohesion and compressibility. Over the last two decad...

A relação entre pressão, velocidade e posição relativa a um fluido em escoamento livre é descrita pela equação de Bernoulli. Apesar de suas restrições, este teorema possui aplicabilidade no ensino prático da disciplina mecânica dos fluidos através do experimento do jato livre. Sendo assim, o presente trabalho teve como objetivo avaliar a aplicabili...

In recent years, Artificial intelligence (AI) has become ubiquitous, empowering various fields, especially integrating artificial intelligence and traditional science (AI for Science: Artificial intelligence for science), which has attracted widespread attention. In AI for Science, using artificial intelligence algorithms to solve partial different...

A tribute/Commemoration of Professor Mircea Ivănoiu, Fluid Mechanics Dept., from Transilvania University in Brașov, two years after his death

Machine learning-based predictions of heat transfer characteristics in lid-driven cavities are transforming the field of computational fluid dynamics (CFD). Lid-driven cavities are a fundamental problem in fluid mechanics, characterized by the motion of a fluid inside a square cavity driven by the motion of one of its walls. The goal of this study...

Turbulence has remained the greatest challenge in fluid mechanics. Especially, randomness is one of the most important characteristics of turbulence, but its origin is still an open question until now. In this paper, by means of several ingeniously designed ``clean'' numerical experiments based on Navier-Stokes equations for the two-dimensional tur...

Abstrak Penelitian ini meneliti performa Energy Efficiency Ratio (EER) dan Coefficient of Performance (COP) mesin Air Handling Unit (AHU) dari konversi sistem pendingin kapal Ambulance yg didesain beroperasi pada setup 100% udara segar menjadi mesin uji AHU di laboratorium permesinan fluida. Metode pengujian melibatkan pengukuran langsung pada sist...

Submarine volcanic eruptions can induce major local and regional tsunami hazards through varied source mechanisms. Large‐scale experiments of tsunamis generated by submarine volcanic eruptions are conducted to study the cylindrical wave generation and propagation in a three‐dimensional wave basin. A unique volcanic tsunami generator (VTG) was deplo...

The introduction of jetting-type floating breakwaters can significantly enhance the performance of large floating marine structures. Especially, this novel technology may effectively handle traditional breakwaters’ bottleneck, namely, weak wave dissipation performance under large period waves. In this paper, a new method is established using body f...

EDF R&D lab Chatou, Fluid Mechanics Energy and Environment department (MFEE), has been developping an HPC oriented Computational Fluid Dynamics toolbox since the late 1990s. This toolbox is based on the open-source Computational Fluid Dynamics (CFD) and multiphysics solver code_saturne. It has a proprietary extension, neptune_cfd, which is a Comput...

Our aim is to develop a robust and flexible code to simulate flows in nuclear core reactors. Discontinuous Galerkin schemes are thus proposed here to solve the Stokes problem, which stands as a fundamental element in fluid mechanics. A priori error estimates are provided when the solution is weakly regular. Details on how to solve the large-scale l...

Suspension of particles in a fluid solvent are ubiquitous in nature, for example, water mixed with sugar or bacteria self-propelling through mucus. Particles create local flow perturbations that can modify drastically the effective (homogenized) bulk properties of the fluid. Understanding the link between the properties of particles and the fluid s...

Submarine debris flows are events that occur with great frequency on a geological scale and can cause major damage to offshore structures or even loss of human life. Understanding the mechanisms involved in the development of a debris flow requires not only knowledge of soil mechanics, but also knowledge of fluid mechanics, since the incorporation...

What’s new
Chapter 1 no addition
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Chapter 4
New SFF density
Chapter 5
Electron properties update due to new SFF density
Hydrodynamic analogy of electron dynamics in magnetic fields
Ratio between ɛ-vortex and γ-vortex
Hydrodynamic analogy of electron dynamics in electric fields
Chapter 6 no addition
Chap...

Differentiable programming allows for derivatives of functions implemented via computer code to be calculated automatically. These derivatives are calculated using automatic differentiation (AD). This thesis explores two applications of differentiable programming to computational plasma physics. First, we consider how differentiable programming can...

Predicting the transient flow fields that develop when a shock wave passes through an area expansion is a fundamental problem in compressible fluid mechanics and significant in many engineering applications. Experiments, large eddy simulations and geometrical shock dynamics are used to study the mechanism by which a normal shock wave that expands a...

Sessile drops are ubiquitous and important in technological applications. While dynamics of liquid drops have been studied under confinement, the possibility of creating sessile drops with reduced dimensionality has not been explored. Here, we demonstrate a quasi-two-dimensional (Q2D) analogy for axisymmetric sessile three-dimensional (3D) drops. T...

In Fluid Mechanics, the Modeling is based on the assumption of continuous Mechanics. The Models developed are relevant only at a given scale. In Industrial applications, the scales of interest are rather large. Typically of the order of several maters in particular, I would like to deal with the way a physical theory is applied to engineering probl...

Diseñar sistemas de tuberías que introducen principios de mecánica de fluidos ha sido esencial para crear sistemas eficientes y seguros. Los avances en modelado por computadora, nuevos materiales y tecnología de monitoreo continúan mejorando el rendimiento y la sostenibilidad de estos sistemas, permitiendo solucionar de manera más efectiva problema...

Hydraulic fracturing is widely recognized as a key technology for enhancing coalbed methane production. The fracturing fluid has physicochemical reactions with the coal fractures, along with their duration, critically affecting fracture permeability, thereby determining the effectiveness of the technology. However, the study has not received enough...

Construction activities generate substantial airborne dust, posing significant health risks to workers and nearby communities. This study focuses on the development and evaluation of the Portable Construction Site Dust Remover (PCSDR) to improve air quality by measuring particulate matter (PM2.5), total volatile organic compounds (TVOCs), and carbo...

In this work, we investigate the jamming behavior of associative microgel suspensions used as fluid loss additives in model porous media. We first construct a phase diagram using drying experiments, followed by characterization of the suspensions' rheology and the permeability of the filter cakes at maximum microgel concentration. Microfluidic devi...

This study delves into the intricacies of the peristaltic mechanism exhibited by a non-Newtonian Ree-Eyring Nano-liquid, investigating its behavior in the presence of varying liquid properties and heat and mass transfer phenomena. The objective of the present investigation is to conduct a thorough analysis of this mechanism, taking into account the...

One of the basic fluid mechanics problems of fluid flows over a revolving disk has both theoretical and real-world applications. The flow over a rotating disk has been the subject of numerous theoretical studies because it has many real-world applications in areas like rotating machinery, medical equipment, electronic devices, and computer storage....

The Navier-Stokes equations describe the motion of incompressible fluid flow and are fundamental to fluid mechanics. Despite their importance, the problem of uniqueness and existence of smooth solutions remains unsolved in three dimensions. This paper addresses the uniqueness problem for the Navier-Stokes equations, reviewing classical results, dis...

The Navier-Stokes equations describe the motion of incompressible fluid flow and are fundamental to fluid mechanics. Despite their importance, the problem of uniqueness and existence of smooth solutions remains unsolved in three dimensions. This paper addresses the uniqueness problem for the Navier-Stokes equations, reviewing classical results, dis...

This work introduces a new neural model which follows the transport equation by design. A physical problem, the Taylor-Green vortex, defined on a bi-periodic domain, is used as a benchmark to evaluate the performance of both the standard physics-informed neural network and our model (transport-embedded neural network). Results exhibit that while th...

The paranasal sinuses are a group of hollow spaces within the human skull, surrounding the nose. They are lined with an epithelium that contains mucus-producing cells and tiny hairlike active appendages called cilia. The cilia beat constantly to sweep mucus out of the sinus into the nasal cavity, thus maintaining a clean mucus layer within the sinu...

Artificial musical improvisation is concerned with building agents capable of improvising music and interacting meaningfully with human performers. A major challenge is to endow such agents with sufficient musicianship for such interactions to be musically meaningful, which involves constructing appropriate generative models. However, research in E...

Mechanics-related tasks often present unique challenges in achieving accurate geometric and physical representations, particularly for non-uniform structures. Graph neural networks (GNNs) have emerged as a promising tool to tackle these challenges by adeptly learning from graph data with irregular underlying structures. Consequently, recent years h...

We explore the feasibility of foundation models for the simulation of physical phenomena, with emphasis on continuum (solid and fluid) mechanics. Although so-called learned simulators have shown some success when applied to specific tasks, it remains to be studied to what extent they are able to undergo severe changes in domain shape, boundary cond...

Used in industries such as automobiles and aeronautics, metal laser welding remains a challenging process to master. It is characterised by its high penetration/width ratio, useful when the weld is realised through a material. As the result of a physical transformation involving non-linear laser-matter interaction, thermodynamic and fluid mechanic,...

Extensive research has been conducted on the flow control of bluff bodies to address negative impacts such as vibration, acoustic noise, and resonance caused by wake flow. The circular cylinder, due to its simple geometry, is frequently studied as a bluff body and is utilized in various engineering applications including cooling system pipes, elect...

Reduced-order models (ROMs) have been widely adopted in fluid mechanics, particularly in the context of Newtonian fluid flows. These models offer the ability to predict complex dynamics, such as instabilities and oscillations, at a considerably reduced computational cost. In contrast, the reduced-order modelling of non-Newtonian viscoelastic fluid...

El presente trabajo de investigación se enfoca en la optimización del rendimiento de una bomba de ariete utilizada para riego agrícola, teniendo énfasis en el estudio de la mecánica de fluidos para así obtener resultados positivos. La eficiencia en los sistemas de riego es crucial para la sostenibilidad y productividad agrícola, dado que un desempe...

The gas–liquid multiphase process plays a crucial role in the chemical industry, and the utilization of packed beds enhances separation efficiency by increasing the contact area and promoting effective gas–liquid interaction during the separation process. This paper primarily reviews the progress from fundamental research to practical application o...

In this paper, we highlight a set of ad hoc test functions to study the homogenization of viscous compressible fluids in domains with very tiny holes. This set of functions allows to improve previous results in dimensions two and three. As an application, we show that the presence of a small obstacle does not influence the dynamics of a viscous com...

The development of a bubble plume from a vertical gas-evolving electrode is driven by buoyancy and hydrodynamic bubble dispersion. This canonical fluid mechanics problem is relevant for both thermal and electrochemical processes. We adopt a mixture model formulation for the two-phase flow, considering variable density (beyond Boussinesq), viscosity...

Linear stability analysis currently fails to predict turbulence transition in canonical viscous flows. We show that two alternative models of the boundary condition for incipient perturbations at solid walls produce linear instabilities that could be sufficient to explain turbulence transition. In many cases, the near-wall behaviour of the discover...

This research work shows the potential of locally available raw material fleshing tannery solid waste for the production of Sulphited fat liquor by a Sulphation process using sulphuric acid. One of the most crucial substances utilized in the leather processing sector to produce soft leather and enhance the physical attributes of the final goods thr...

For many nonlinear applications described by the dynamics of nonlinear Schrödinger equation with higher-order terms (HONLSE) such as nonlinear optics, space plasma physics molecular biology, astrophysics, quantum mechanics, superfluid, fluid mechanics, and fiber optics communications, a unique closed-form solution have been obtained using energy eq...

In recent years, the synergy between artificial intelligence and turbulence big data has given rise to a new data-driven paradigm in turbulence research. Data-driven turbulence modeling has emerged as one of the forefront directions in fluid mechanics. Most existing studies focus on feature construction, selection, and the development of modeling f...

The objective of this work is to examine the unexplored dynamics of flow regime changes in linear channels, with a specific emphasis on the impact of relaxation time, channel width, and external forces on the shift from laminar to turbulent flow. This study intends to improve understanding of how the parameters associated with the Lattice Boltzmann...

Engineering practice has demonstrated that seal failure can result in severe leakage and wear, reducing the efficiency of hydraulic systems and even leading to major safety risks. Currently, analyses of the thermal aspect of seal interfaces are relatively limited, with most studies focusing on mechanical analysis. However, in actual applications, t...

Wall Shear Stress (WSS) is one of the most important parameters used in cardiovascular fluid mechanics, and it provides a lot of information like the risk level caused by any vascular occlusion. Since WSS cannot be measured directly and other available relevant methods have issues like low resolution, uncertainty and high cost, this study proposes...

Dynamically stable traveling periodic waves are notoriously difficult to realize experimentally. Manifestations of such waves inherently become unstable in any dispersive medium, whether it be at continuum length scales in fluid mechanics, in electrodynamics, or in nonlinear optics. Here, a simple experimental system is proposed where Stokes waves...

Alongside the development of human civilisations over the last century, the global demand and consumption of fossil fuels have experienced a significant increase. Consequently, environmentally friendly and sustainable designs are in high demand in every professional field. This report focuses on two designs of floating wind turbine platforms as wel...

Though the Navier-Stokes equations of fluid mechanics have proven useful in multiple disciplines of physics and engineering, they are incapable of describing flows where relativistic effects are present due to their Galilean invariance. For a Navier-Stokes equation set to be mathematically capable of modeling relativistic effects on the temporal ev...

Global population aging has aroused a huge demand for high-protein dysphagia diets in the form of thickened fluids. However, customizing the colloidal stability and fluid mechanics of highly concentrated protein dispersions remains a challenging task, especially for naturally ubiquitous vegetable proteins. Here we put forward spatially confined liq...

The nonlinear Schrödinger equation, held in high regard in the realms of plasma physics, fluid mechanics, and nonlinear optics, reverberates deeply within the field of ocean engineering, imparting profound insights across a plethora of phenomena. This article endeavours to establish a connection between the equation’s theoretical framework and its...

Two-dimensional turbulence transfers its energy towards the lowest mode in the domain, but domain geometry exerts a powerful control. On the sphere, with its three axes of rotational symmetry, angular momentum conservation prevents energy from entering the three lowest modes – those corresponding to the spherical harmonics $Y_1^0$ and $Y_1^{\pm 1}$...

In this work, we introduce a neural network algorithm designed to automatically identify similarity relations from data. By uncovering these similarity relations, our network approximates the underlying physical laws that relate dimensionless quantities to their dimensionless variables and coefficients. Additionally, we develop a linear algebra fra...

As is known, the Maxwell stress-energy tensor typically used in electromagnetism is not a canonical tensor in the sense of Noether, since its four-divergence is not zero in the presence of sources, in other words, outside of free space. Indeed, the result provided by the calculation of the four-divergence of this tensor is the opposite of the four-...

The inception of microfluidic devices marks a confluence of diverse scientific domains, including physics, biology, chemistry, and fluid mechanics. These multidisciplinary roots have catalyzed the evolution of microfluidic devices, which serve as versatile platforms for various chemical and biological processes. Notably, microfluidic devices have g...

Background: In the research of coronary artery disease, the precise initial injury that starts the atherosclerotic cascade remains unidentified. Moreover, the mechanisms governing the progression or regression of coronary plaque are not yet fully understood. Based on the concept that the cardiovascular system is a network of pumps and pipes, could...