A Joint Computational Fluid Dynamics and Experimental Fluid Dynamics Test Program

2004 ◽  
Author(s):  
C. Tyler
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Test Program ◽  
Experimental Fluid Dynamics ◽  
Experimental Fluid

scholarly journals Synergistic integration of computational fluid dynamics and experimental fluid dynamics for ground effect aerodynamics studies

2012 ◽  
Vol 226 (6) ◽  
pp. 602-619 ◽  
Author(s):  
T J Barber ◽  
G Doig ◽  
C Beves ◽  
I Watson ◽  
S Diasinos
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Ground Effect ◽  
Large Datasets ◽  
Data Types ◽  
Complementary Information ◽  
Experimental Fluid Dynamics ◽  
Computational Fluid Dynamics Cfd ◽  
Disparate Data ◽  
Experimental Fluid

This article highlights the ‘synergistic’ use of experimental fluid dynamics (EFD) and computational fluid dynamics (CFD), where the two sets of simulations are performed concurrently and by the same researcher. In particular, examples from the area of ground effect aerodynamics are discussed, where the major facility used was also designed through a combination of CFD and EFD. Three examples are than outlined, to demonstrate the insight that can be obtained from the integration of CFD and EFD studies. The case studies are the study of dimple flow (to enhance aerodynamic performance), the analysis of a Formula-style front wing and wheel, and the study of compressible flow ground effect aerodynamics. In many instances, CFD has been used to not only provide complementary information to an experimental study, but to design the experiments. Laser-based, non-intrusive experimental techniques were used to provide an excellent complement to CFD. The large datasets found from both experimental and numerical simulations have required a new methodology to correlate the information; a new post-processing method has been developed, making use of the kriging and co-kriging estimators, to develop correlations between the often disparate data types.

scholarly journals And…Action! Setting the Scene for Accurate Visual CFD Comparisons Using Ray Tracing

2021 ◽  
Vol 9 (10) ◽  
pp. 1066
Author(s):  
Maarten Klapwijk ◽  
Sébastien Lemaire
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Fluid Mechanics ◽  
Ray Tracing ◽  
Real Life ◽  
Computer Hardware ◽  
Test Cases ◽  
Experimental Fluid Dynamics ◽  
Experimental Fluid

Increased graphical capabilities of contemporary computer hardware make ray tracing possible for a much wider range of applications. In science, and numerical fluid mechanics in particular, visual inspections still play a key role in both understanding flows, predicted by computational fluid dynamics, exhibiting features observable in real-life, such as interfaces or smoke, and when comparing such flows against experimental observations. Usually, little attention is paid to the visualisation itself, unless when the render is used solely for its eye-catching appearance. In this work, we argue that the use of ray tracing software can help make comparisons between computational and experimental fluid dynamics more robust and meaningful, and that, in some cases, it is even a necessity. Several visualisation problems which can be overcome through application of this methodology are discussed, and the use of ray tracing is exemplified for several common test cases in the maritime field. Using these examples the benefits of ray tracing are shown, and it is concluded that ray tracing can improve the reliability of scientific visual comparisons.

Using Experimental Fluid Dynamics and Computational Fluid Dynamics for Evaluating Periodic Mixing

2018 ◽  
Author(s):  
Judith Ann Bamberger ◽  
Leonard F. Pease ◽  
Kurtis P. Recknagle ◽  
Carl W. Enderlin ◽  
Michael J. Minette
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
System Performance ◽  
Experimental Investigations ◽  
Cfd Simulations ◽  
Mixing Processes ◽  
Experimental Fluid Dynamics ◽  
Computational Fluid Dynamics Cfd ◽  
Experimental Fluid ◽  
Pulse Jet

Periodic mixing using pulse jet mixers is being developed and applied for processing unique slurries of radioactive waste that depending upon the slurry properties may possess either Newtonian or non-Newtonian characteristics. To investigate the performance of these mixing systems, scaled experimental fluid dynamics (EFD) experiments have been conducted and in addition, for certain investigations, computational fluid dynamics (CFD) simulations have been applied. The purpose of this paper is to describe the periodic mixing processes, elaborate regarding the types of scaled experiments that were conducted, and present examples of computational investigations conducted to further define the mixing system performance. The experimental investigations showed the ability to track visual metrics such as cloud height and cavern size. The computational investigations demonstrated the ability to model full-scale experiments with Newtonian slurries.

DETERMINATION OF DRAG AND LIFT RELATED COEFFICIENTS OF AN AUV USING COMPUTATIONAL AND EXPERIMENTAL FLUID DYNAMICS METHODS

2021 ◽  
Vol 162 (A2) ◽  
Author(s):  
E Javanmard ◽  
Sh Mansoorzadeh ◽  
A Pishevar ◽  
J A Mehr
Keyword(s):  
Fluid Dynamics ◽  
Autonomous Underwater Vehicle ◽  
Experimental Tests ◽  
Hydrodynamic Coefficients ◽  
Experimental Fluid Dynamics ◽  
Computational Fluid Dynamics Cfd ◽  
Drag And Lift ◽  
Control Surfaces ◽  
Experimental Fluid

Determination of hydrodynamic coefficients is a vital part of predicting the dynamic behavior of an Autonomous Underwater Vehicle (AUV). The aim of the present study was to determine the drag and lift related hydrodynamic coefficients of a research AUV, using Computational and Experimental Fluid Dynamics methods. Experimental tests were carried out at AUV speed of 1.5 m s-1 for two general cases: I. AUV without control surfaces (Hull) at various angles of attack in order to calculate Hull related hydrodynamic coefficients and II. AUV with control surfaces at zero angle of attack but in different stern angles to calculate hydrodynamic coefficients related to control surfaces. All the experiments carried out in a towing tank were also simulated by a commercial computational fluid dynamics (CFD) code. The hydrodynamic coefficients obtained from the numerical simulations were in close agreement with those obtained from the experiments.

scholarly journals Experimental fluid dynamics characterization of a novel micropump-mixer

2020 ◽  
Vol 14 (4) ◽  
pp. 044116
Author(s):  
F. Akbaridoust ◽  
C. M. de Silva ◽  
C. Szydzik ◽  
A. Mitchell ◽  
I. Marusic ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Experimental Fluid Dynamics ◽  
Experimental Fluid

Experimental Fluid Dynamics Study in a Fluidized Bed by Deterministic Chaos Analysis

2011 ◽  
Vol 29 (2) ◽  
pp. 179-196 ◽  
Author(s):  
G. J. Castilho ◽  
M. A. Cremasco ◽  
L. de Martín ◽  
J. M. Aragón
Keyword(s):  
Fluid Dynamics ◽  
Fluidized Bed ◽  
Deterministic Chaos ◽  
Experimental Fluid Dynamics ◽  
Chaos Analysis ◽  
Experimental Fluid

scholarly journals Detailed computational and experimental fluid dynamics of fluidized beds

2006 ◽  
Vol 30 (11) ◽  
pp. 1459-1471 ◽  
Author(s):  
N.G. Deen ◽  
M. Van Sint Annaland ◽  
J.A.M. Kuipers
Keyword(s):  
Fluid Dynamics ◽  
Fluidized Beds ◽  
Experimental Fluid Dynamics ◽  
Experimental Fluid
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