Computational Fluid Dynamics: An Introduction. Edited by J. F. WENDT. Springer, 1992. 291 pp. DM128. Numerical Solutions of the Euler Equations for Steady Flow Problems. By A. EBERLE, A. RIZZI and E. H. HIRSCHEL. Vieweg, 1992. 449 pp. DM148.

1993 ◽  
Vol 252 ◽  
pp. 722-723
Author(s):  
K. W. Morton
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Steady Flow ◽  
Euler Equations ◽  
Numerical Solutions ◽  
Flow Problems

Numerical Solutions of the Euler Equations for Steady Flow Problems

1992 ◽  
Author(s):  
Albrecht Eberle ◽  
Arthur Rizzi ◽  
Ernst Heinrich Hirschel
Keyword(s):  
Steady Flow ◽  
Euler Equations ◽  
Numerical Solutions ◽  
Flow Problems

scholarly journals Computational Fluid Dynamics Model of Wells Turbine for Oscillating Water Column System: A Review

2021 ◽  
Vol 2053 (1) ◽  
pp. 012013
Author(s):  
N. Abdul Settar ◽  
S. Sarip ◽  
H.M. Kaidi
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Water Column ◽  
Cfd Simulation ◽  
Oscillating Water Column ◽  
Wells Turbine ◽  
Flow Problems ◽  
Cfd Models ◽  
Column System ◽  
Cfd Method

Abstract Wells turbine is an important component in the oscillating water column (OWC) system. Thus, many researchers tend to improve the performance via experiment or computational fluid dynamics (CFD) simulation, which is cheaper. As the CFD method becomes more popular, the lack of evidence to support the parameters used during the CFD simulation becomes a big issue. This paper aims to review the CFD models applied to the Wells turbine for the OWC system. Journal papers from the past ten years were summarized in brief critique. As a summary, the FLUENT and CFX software are mostly used to simulate the Wells turbine flow problems while SST k-ω turbulence model is the widely used model. A grid independence test is essential when doing CFD simulation. In conclusion, this review paper can show the research gap for CFD simulation and can reduce the time in selecting suitable parameters when involving simulation in the Wells turbine.

scholarly journals Derivation of Global Parametric Performance of Mixed Flow Hydraulic Turbine Using CFD

1970 ◽  
Vol 7 ◽  
pp. 60-64 ◽  
Author(s):  
Ruchi Khare ◽  
Vishnu Prasad Prasad ◽  
Sushil Kumar
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Numerical Solutions ◽  
Guide Vane ◽  
Hydraulic Turbine ◽  
Francis Turbine ◽  
Mixed Flow ◽  
Flow Equations ◽  
Laboratory Setup ◽  
Wide Range

The testing of physical turbine models is costly, time consuming and subject to limitations of laboratory setup to meet International Electro technical Commission (IEC) standards. Computational fluid dynamics (CFD) has emerged as a powerful tool for funding numerical solutions of wide range of flow equations whose analytical solutions are not feasible. CFD also minimizes the requirement of model testing. The present work deals with simulation of 3D flow in mixed flow (Francis) turbine passage; i.e., stay vane, guide vane, runner and draft tube using ANSYS CFX 10 software for study of flow pattern within turbine space and computation of various losses and efficiency at different operating regimes. The computed values and variation of performance parameters are found to bear close comparison with experimental results.Key words: Hydraulic turbine; Performance; Computational fluid dynamics; Efficiency; LossesDOI: 10.3126/hn.v7i0.4239Hydro Nepal Journal of Water, Energy and EnvironmentVol. 7, July, 2010Page: 60-64Uploaded date: 31 January, 2011

scholarly journals Finite Element Framework for Computational Fluid Dynamics in FEBio

2018 ◽  
Vol 140 (2) ◽  
Author(s):  
Gerard A. Ateshian ◽  
Jay J. Shim ◽  
Steve A. Maas ◽  
Jeffrey A. Weiss
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Finite Element ◽  
Solid Mechanics ◽  
Numerical Solutions ◽  
Virtual Work ◽  
Biological Fluids ◽  
Fluid Velocity ◽  
Benchmark Problems ◽  
Future Extension

The mechanics of biological fluids is an important topic in biomechanics, often requiring the use of computational tools to analyze problems with realistic geometries and material properties. This study describes the formulation and implementation of a finite element framework for computational fluid dynamics (CFD) in FEBio, a free software designed to meet the computational needs of the biomechanics and biophysics communities. This formulation models nearly incompressible flow with a compressible isothermal formulation that uses a physically realistic value for the fluid bulk modulus. It employs fluid velocity and dilatation as essential variables: The virtual work integral enforces the balance of linear momentum and the kinematic constraint between fluid velocity and dilatation, while fluid density varies with dilatation as prescribed by the axiom of mass balance. Using this approach, equal-order interpolations may be used for both essential variables over each element, contrary to traditional mixed formulations that must explicitly satisfy the inf-sup condition. The formulation accommodates Newtonian and non-Newtonian viscous responses as well as inviscid fluids. The efficiency of numerical solutions is enhanced using Broyden's quasi-Newton method. The results of finite element simulations were verified using well-documented benchmark problems as well as comparisons with other free and commercial codes. These analyses demonstrated that the novel formulation introduced in FEBio could successfully reproduce the results of other codes. The analogy between this CFD formulation and standard finite element formulations for solid mechanics makes it suitable for future extension to fluid–structure interactions (FSIs).

Study of Gas Shortcut Flow Rate in Cyclone with Different Inlet Section Angles Using Response Surface Methodology

2009 ◽  
Vol 7 (1) ◽  
Author(s):  
Fuping Qian ◽  
Xingwei Huang ◽  
Mingyao Zhang
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Flow Rate ◽  
Numerical Solutions ◽  
Inlet Section ◽  
Statistical Software ◽  
Vortex Finder ◽  
Computational Fluid Dynamics Cfd

Numerical simulations of cyclones with various vortex finder dimensions and inlet section angles were performed to study the gas shortcut flow rate. The numerical solutions were carried out using commercial computational fluid dynamics (CFD) code Fluent 6.1. A prediction model of the gas shortcut flow rate was obtained based on response surface methodology by means of the statistical software program (Minitab V14). The results show that the length of the vortex finder insertion, the vortex finder diameter and the inlet section angle play an important role in influencing the gas shortcut flow rate. The gas shortcut flow rate decreases when increasing the inlet section angle, and increases when increasing the vortex finder diameter and decreasing the length of the vortex finder insertion. Compared with the effect of the length of the vortex finder insertion on the shortcut flow rate, the effect of the vortex finder diameter on the gas shortcut flow rate seems more pronounced. The effect of the vortex finder dimension on the gas shortcut flow rate is changed with the different inlet section angles, i.e., the effects of the vortex finder dimension of the conventional cyclone (the inlet section angle is 0º) on the gas shortcut flow rate is stronger than the cyclone with 30º and 45º inlet section angles.

Elements of a Graduate Course in Computational Fluid Dynamics: Successful Assimilation and Implementation

2013 ◽  
Author(s):  
Subha Kumpaty
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Course Evaluation ◽  
Successful Implementation ◽  
Positive Experience ◽  
Graduate Course ◽  
Flow Problems ◽  
Computational Fluid Dynamics Cfd ◽  
Positive Experiences ◽  
Fluid Dynamics Equations

While a course in Computational Fluid Dynamics (CFD) is a common offering in many universities and for several decades, the author of this paper learnt interesting patterns from the students’ assimilation of the principles and implemented the pedagogical build-up for positive experiences during the recent offering in winter 2012–13. With precise assignments that highlight the appropriate concepts to be learnt and put to coding, the students have progressed in gaining the confidence to tackle a variety of flow problems. Students felt that they could always learn using software and solve problems but the intricate details in understanding and applying the governing fluid dynamics equations was what they were able to gain from the course. The topical treatment given, the problems solved, the techniques applied, the software used are presented in this paper as an example of successful implementation of and enhanced student learning in a graduate course in CFD. Industry-relevant course projects culminated the positive experience, as confirmed by the course evaluation results.

scholarly journals Computational fluid dynamics and virtual aeroengine modelling

2009 ◽  
Vol 223 (12) ◽  
pp. 2821-2834 ◽  
Author(s):  
J W Chew ◽  
N J Hills
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Parallel Computing ◽  
Large Scale ◽  
Numerical Solutions ◽  
Mechanical Analysis ◽  
Cfd Models ◽  
Engine Design ◽  
Massively Parallel Computing ◽  
User Friendly

Use of large-scale computational fluid dynamics (CFD) models in aeroengine design has grown rapidly in recent years as parallel computing hardware has become available. This has reached the point where research aimed at the development of CFD-based ‘virtual engine test cells’ is underway, with considerable debate of the subject within the industrial and research communities. The present article considers and illustrates the state-of-the art and prospects for advances in this field. Limitations to CFD model accuracy, the need for aero-thermo-mechanical analysis through an engine flight cycle, coupling of numerical solutions for solid and fluid domains, and timescales for capability development are considered. While the fidelity of large-scale CFD models will remain limited by turbulence modelling and other issues for the foreseeable future, it is clear that use of multi-scale, multi-physics modelling in engine design will expand considerably. Development of user-friendly, versatile, efficient programs and systems for use in a massively parallel computing environment is considered a key issue.

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