Modeling hydrodynamics and path/residence time of aquaculture-like particles in a mixed-cell raceway (MCR) using 3D computational fluid dynamics (CFD)
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We present a procedure for using molecular dynamics (MD) simulations to provide essential fluid and interface properties for subsequent use in computational fluid dynamics (CFD) calculations of nanoscale fluid flows. The MD pre-simulations enable us to obtain an equation of state, constitutive relations, and boundary conditions for any given fluid/solid combination, in a form that can be conveniently implemented within an otherwise conventional Navier–Stokes solver. Our results demonstrate that these enhanced CFD simulations are then capable of providing good flow field results in a range of complex geometries at the nanoscale. Comparison for validation is with full-scale MD simulations here, but the computational cost of the enhanced CFD is negligible in comparison with the MD. Importantly, accurate predictions can be obtained in geometries that are more complex than the planar MD pre-simulation geometry that provides the nanoscale fluid properties. The robustness of the enhanced CFD is tested by application to water flow along a (15,15) carbon nanotube, and it is found that useful flow information can be obtained.
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The apparent slow development and uptake of smart fluid technology has been suggested to be partly due to the inherent non-Newtonian nature of the fluids. To improve matters, it is desirable to determine practical pre-prototype performance. This is possible with a continuum approach and by solving the basic governing equations. Analytical methods are limited to the simplest devices. Therefore, the most practical way forward was hypothesised to be with existing highly developed CFD packages. This thesis investigates the possibility of using CFD to model smart fluid flow.
Initially, the feasibility of modelling basic isothermal, steady, one-dimensional flow was investigated. The procedure was then extended into modelling two-dimensional flow. Here the CFD method was used to investigate some practical problems involving a second perpendicular flow to naturally replace heated fluid. In addition, a smart fluid seal problem was resolved.
The procedure was extended in order to investigate unsteady flow. For a CFD clutch run-up model, problems were identified in an existing analytical solution. To help verify the CFD model, an experimental study was carried out. For the results to agree, an inertial boundary condition has to be developed that allows the inertia of the outer rotor to be included in the CFD model. Here the fluid dynamics affect the rotor dynamics and vice versa.
A constitutive model of a viscoelastic form was found to be most appropriate for modelling sudden changes in excitation. This allowed CFD responses to correspond well with experimental results carried out on an ER fluid Rayleigh step-bearing rig.
The usefulness of CFD for determining the generation and transfer of heat, in addition to temperature distribution, was investigated by comparing CFD results to both experimental and semi-empirical analysis.
In conclusion, CFD as a pre-prototyping tool promises to be very useful. However, it is only as good as the continuum assumption allows it to be. The procedure is also limited by how well the constitutive equation can be determined and by the detail and quality of fluid property data.
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The Computational Fluid Dynamics (CFD) is a tool used to numerically simulate fluid flow behavior, and all the laws that govern the study of fluids is the mass transfer and energy, chemical reactions, hydraulic behaviors, among others applications. This tool mathematical equation solves the problem in a specific manner over a region of interest, with predetermined boundary conditions on this region. This work is to study the flow channel through the CFD technique.
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The application of computational fluid dynamics(CFD) technology on heat and mass transfer in food processing was reviewed. The advantages of using CFD technology were discussed. The results of simulation were particular and direct. The simulation could gain the distribution of various thermodynamics parameters and the fluid flow, so the design of equipment and process could be optimized.
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This article reviews the method of analyzing fluid flow in structures and designs, which is enjoying a burst of interest. Twenty years later, manufacturers across a myriad of industries are licensing the technology from a pool of vendors who now market computational fluid dynamics (CFD) packages of many stripes. Engineers use CFD to predict how fluids will flow and to predict the quantitative effects of the fluid on the solids with which they are in contact. Airflow is commonly studied with the software. Many mechanical engineers do not need access to all the bells and whistles an advanced CFD program can provide. Advanced analysis programs are usually the purview of a user trained on a particular CFD package. Engineers used CFD to determine how to best position the fans so that air flowed inside the refrigerator and the freezer in the most efficient way. After studying fluid flow simulations, they made prototypes of the most promising modeled designs to see if the prototypes matched CFD simulation results.
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Computational Fluid Dynamics(CFD) is a kind of numerical simulation technology which fluid.Compared with experimental fluid dynamics,CFD has many merits,for example,the devoted finance is less,the speed of computation is quich,the information involved is full and the size of model is not limited.So,it is a powerful tool to study fluid dynamics.The applications and developments of CFD in fluid machinery field which included pump,compressor are reviewed.
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Computational fluid dynamics (CFD) is a state-of-the-art numerical technique for solving fluid flow problems. Early users of CFD were mainly found in the automotive, aerospace, and nuclear industri...
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The demand for computational fluid dynamics (CFD)-based numerical techniques is increasing rapidly with the development of the computing power system. These advanced CFD techniques are applicable to various issues in the industrial engineering fields and especially contribute to the design of fluid machinery and fluid devices, which have very complicated unsteady flow phenomena and physics. In other words, to aid the rapid development of CFD techniques, the performances of fluid machinery and fluid devices with complicated unsteady flows have been enhanced significantly. In addition, many persistently troublesome problems of fluid machinery and fluid devices such as flow instability, rotor–stator interaction, surging, cavitation, vibration, and noise are solved clearly using advanced CFD techniques.
This Special Issue on “CFD-Based Research and Applications for Fluid Machinery and Fluid Devices” aims to present recent novel research trends based on advanced CFD techniques for fluid machinery and fluid devices. The following topics, among others, are included in this issue:
- CFD techniques and applications in fluid machinery and fluid devices;
- Unsteady and transient phenomena in fluid machinery and fluid devices;
- Pumps, fans, compressors, hydraulic turbines, pump turbines, valves, etc.
This Special Issue on “CFD-Based Research and Applications for Fluid Machinery and Fluid Devices” aims to present recent novel research trends based on advanced CFD techniques for fluid machinery and fluid devices. The following topics, among others, are included in this issue:
- CFD techniques and applications in fluid machinery and fluid devices;
- Unsteady and transient phenomena in fluid machinery and fluid devices;
- Pumps, fans, compressors, hydraulic turbines, pump turbines, valves, etc.
Fluid power
Hydraulic fluid
Francis turbine
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This book particularly addresses analysis of fluid flow field variables in a bifurcated blood vessel by using Computational Fluid Dynamics approach. Computational Fluid Dynamics is one the most popular and emerging areas of research related to dynamics of fluid which works on the basis of combined strong foundation of analytical and experimental fluid mechanics. Variety of problems related to systems involving dynamic state of fluid can be solved effectively and efficiently using CFD analysis. Analysis of fluid flow field variables in a bifurcated blood vessel is one of the applied areas where CFD techniques are utilized related to bio-medical engineering majorly. In this book prediction of flow field variables and effect of seven different types of amplitudes related to fluid flow and four different types of fluids is carried out using CFD (ABAQUS 6.14) analysis through a bifurcated blood vessel.
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