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

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.

Author(s):  
T J Barber ◽  
G Doig ◽  
C Beves ◽  
I Watson ◽  
S Diasinos

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.


Author(s):  
Ivaylo Nedyalkov

Abstract Most of the currently-enrolled undergraduate engineering students grew up with exposure to social media websites like Facebook and Youtube. Making sure that students are not distracted by their mobile devices in class has become more challenging, and one way to address the issue is to present engineering in a more entertaining and engaging way. A rap song about fluid mechanics was created by the author for entrainment, outreach, and education purposes. The song covers the fundamentals of fluid mechanics and mentions some theoretical basics, as well as some of the most widely used computational fluid dynamics and experimental fluid dynamics techniques. The song was written with the intention to be entertaining and educational — the goal was that someone with no prior fluid mechanics background will be able to understand it after spending 10–20 minutes reading through the lyrics explanations. A music video was produced for the song. The video production was sponsored by the American Society of Mechanical Engineers and includes visuals of experimental facilities and equipment. The paper provides the background of the project, marketing plans, some of the lessons learned, the lyrics, and the explanations of the lyrics.


Author(s):  
Judith Ann Bamberger ◽  
Leonard F. Pease ◽  
Kurtis P. Recknagle ◽  
Carl W. Enderlin ◽  
Michael J. Minette

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.


Author(s):  
E Javanmard ◽  
Sh Mansoorzadeh ◽  
A Pishevar ◽  
J A Mehr

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.


2021 ◽  
Author(s):  
Daniel Mora-Melia ◽  
Marco Alsina ◽  
Pablo Ballesteros-Pérez ◽  
Gonzalo Pincheira-Orellana

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

2011 ◽  
Vol 29 (2) ◽  
pp. 179-196 ◽  
Author(s):  
G. J. Castilho ◽  
M. A. Cremasco ◽  
L. de Martín ◽  
J. M. Aragón

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