scholarly journals Recent Numerical Advances in Fluid Mechanics

Fluids ◽  
2020 ◽  
Vol 5 (2) ◽  
pp. 73
Author(s):  
Omer San
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Fluid Mechanics ◽  
Fluid Flows ◽  
Advanced Computing

In recent decades, the field of computational fluid dynamics has made significant advances in enabling advanced computing architectures to understand many phenomena in biological, geophysical, and engineering fluid flows [...]

COMPUTATIONAL FLUID DYNAMICS AND ITS INTEGRATION IN THE LEARNING OF FLUID MECHANICS FOR CIVIL ENGINEERS

2021 ◽  
Author(s):  
Daniel Mora-Melia ◽  
Marco Alsina ◽  
Pablo Ballesteros-Pérez ◽  
Gonzalo Pincheira-Orellana
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Fluid Mechanics ◽  
Civil Engineers

Simulation of an Effect of a Baffle Length on the Power Consumption in an Agitated Vessel

2008 ◽  
Vol 4 (2) ◽  
Author(s):  
Palani Sivashanmugam ◽  
S. Prabhakaran
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Cfd Simulation ◽  
Turbulence Modeling ◽  
Fluid Flows ◽  
Power Number ◽  
Food Industries ◽  
Agitated Vessel ◽  
Computational Fluid Dynamics Cfd ◽  
Miscible Liquids

Agitated vessels are often used for homogenization of the miscible liquids in chemical, biochemical, and food industries. Computational fluid dynamics (CFD) is a useful tool for studying fluid flows, including those of mixing systems. It is particularly powerful where the ability exists to corroborate model results with available data. The CFD simulation was carried out for Rushton and Smith turbines agitators. The standard k-? model has been used for turbulence modeling. The data obtained by simulation are matching with the literature experimental value for standard baffle with the discrepancy of less than +_4.5% for power number. The simulated results for agitated vessel with short baffle (non-standard) are agreeing with the literature values within plus or minus 5% for Power Number.

scholarly journals Numerical Investigation on Multiphase Flows in Various Configurations of Microchannels Using Computational Fluid Dynamics

2019 ◽  
Vol 17 (1) ◽  
pp. 82
Author(s):  
Mohd Fadhil Majnis ◽  
Mohamad Rawad Jalwan
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Fluid Flows ◽  
Chaotic Advection ◽  
Computational Domain ◽  
Mixing Performance ◽  
Vof Model ◽  
Computational Fluid Dynamics Cfd ◽  
Miscible Liquids ◽  
Grid Independence

A two-dimensional domain of multiphase flow analyses in this study using the Volume of Fluid (VOF) model was carried out in order to simulate and predict the fluid flows and mixing performance of two miscible liquids in various microchannel configurations. The various microchannels configurations were designed accordingly and the simulation was carried out based on the justified conditions, assumptions and considerations by using the commercial computational fluid dynamics (CFD) software, FLUENT. The grid type and size of the computational domain were verified in terms of stability by performing the grid independence analysis. The result showed that static mixing would be possible to achieve in various configurations of microchannels, however, the simulation results predicted that it appeared to be more efficient in complex and retrofitted microchannels. It showed the potential to promote and enhance chaotic advection, compositions distribution, and diffusivity as compared to basic microchannels that are mostly dependent only on the injection focus. Furthermore, the Reynolds number appeared to be a significant factor to enhance the mixing performance in microchannel beside the configurations.

Fundamentals of fluid dynamics with an introduction to the importance of interfaces

2017 ◽  
Author(s):  
H. A. Stone
Keyword(s):  
Fluid Dynamics ◽  
Differential Equations ◽  
Fluid Mechanics ◽  
Scaling Laws ◽  
Fluid Flows ◽  
Governing Equations ◽  
Soft Interfaces ◽  
Physical Intuition ◽  
Basic Fluid ◽  
Wide Range

The topics discussed are all related to basic fluid mechanics. In these introductory notes I highlight some of the main features of fluid flows and their mathematical characterization. There is much physical intuition encapsulated in the differential equations, and one of our goals is to gain more experience (i) understanding the governing equations and various related principles of kinematics, (ii) developing intuition with approximating the equations, (iii) applying the principles to a wide range of problems, which includes (iv) being able to rationalize scaling laws and quantitative trends, often without having a detailed solution in hand. Where possible we provide examples of the ideas with ‘soft interfaces’ in mind.

FRACTALS IN FLUID MECHANICS

Fractals ◽  
1994 ◽  
Vol 02 (02) ◽  
pp. 253-263 ◽  
Author(s):  
K. R. SREENIVASAN
Keyword(s):  
Fluid Dynamics ◽  
Fluid Mechanics ◽  
Natural Science ◽  
Fractal Geometry ◽  
Fractal Structure ◽  
Fluid Flows ◽  
Chaotic Mixing ◽  
Physical Problems ◽  
Basic Concepts

The basic concepts of fractal geometry are relatively simple. Although they are not entirely new, the recognition that these simple notions form a unified language for a variety of disciplines in natural science is due to Mandelbrot.1 Our objective is to assess briefly the role of fractals and multifractal measures in fluid flows broadly, including turbulence and combustion. As applications have yet to mature, the report captures a snap-shot of the changing scene. We focus on activities that are common to both fluid dynamics and fractals and ignore some isolated aspects; we also omit comments on possible fractal structure obtained in chaotic mixing. Finally, we emphasize the question of how fractals enter physical problems, not the classical results. Much of the material to be covered below can be found in refererences cited in the bibliography2–7. Other references cited are not meant to be exhaustive.

scholarly journals Computational Fluid Dynamics Using Graphics Processing Units: Challenges and Opportunities

2011 ◽  
Author(s):  
S. Pratap Vanka ◽  
Aaron F. Shinn ◽  
Kirti C. Sahu
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Fluid Flow ◽  
Graphics Processing Units ◽  
Review Paper ◽  
Fluid Flows ◽  
New Paradigm ◽  
The Past ◽  
Challenges And Opportunities ◽  
Graphics Processing

A new paradigm for computing fluid flows is the use of Graphics Processing Units (GPU), which have recently become very powerful and convenient to use. In the past three years, we have implemented five different fluid flow algorithms on GPUs and have obtained significant speed-ups over a single CPU. Typically, it is possible to achieve a factor of 50–100 over a single CPU. In this review paper, we describe our experiences on the various algorithms developed and the speeds achieved.

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