Systematic non-dimensional parametric investigation for the thermo-fluid dynamics of two-layered fluid systems

2013 ◽  
Vol 56 (1-2) ◽  
pp. 787-801
Author(s):  
Daniele Ludovisi ◽  
Soyoung S. Cha ◽  
Raranaynan Ramachandran ◽  
William M. Worek
2003 ◽  
Author(s):  
Douglas S. McCorkle ◽  
Kenneth M. Bryden

Optimization techniques that search a solution space without designer intervention are becoming important tools in the engineering design of many thermal fluid systems. Evolutionary algorithms are among the most robust of these optimization methods because the ability to optimize many designs simultaneously makes evolutionary algorithms less susceptible to premature convergence. However application of evolutionary algorithms to thermal and fluid systems described by high fidelity models (e.g. computational fluid dynamics) has been limited due to the high computational cost of the fitness evaluation. This paper presents a novel technique that combines two technologies used in the optimization of thermal fluids systems. The first is graph based evolutionary algorithms that are implemented to help increase the diversity of the evolving population of designs. The second is an algorithm utilizing a feed forward neural network that develops a stopping criterion for computational fluid dynamics solutions. This reduces the time required for each future evaluation in the evolutionary process and allows for more complex thermal fluids systems to be optimized. In the system examined here the overall reduction in computational time is approximately 8 times.


1979 ◽  
Vol 17 (1) ◽  
pp. 53-62 ◽  
Author(s):  
Gerhard H. Jirka ◽  
Daniel S. Katavola
Keyword(s):  

2021 ◽  
Author(s):  
Jost M Kollmeier ◽  
Lukas Gürbüz-Reiss ◽  
Simon Badura ◽  
Ben Ellebracht ◽  
Jutta Gärtner ◽  
...  

Abstract Background: Deep inspiration acts as a driving force for eliciting an upward flow of CSF into the brain simultaneous to an increase of venous outflow to the heart. These findings suggest two interconnected fluid systems which together play a pivotal role in maintaining constant intracranial pressure. Moreover, venous system pathologies are increasingly connected with various disorders of CSF circulation, although exact coupling mechanisms remain unknown. The purpose of the present study was to explore the role of respiratory forces in linking both fluid systems in the upper and lower body.Methods: Twelve healthy subjects (2 females, age 23-38 years) were studied using real-time phase-contrast flow MRI at 3T. Subjects followed a breathing protocol with 40 s of normal and forced respiration. CSF flow was quantified at the aqueduct and spinal levels C3 and L3. Venous flow was studied in the internal jugular veins and cervical epidural veins and in the inferior vena cava and lumbar epidural veins. Flow values (ml s-1), ROI sizes (mm2) and flow frequency components (Hz) were determined and Wilcoxon signed-rank and paired t-tests employed to calculate p values.Results: Cardiac-related flow components prevailed during normal breathing. Forced respiration shifted the main frequency component for CSF and venous dynamics to 0.2 in line with the breathing protocol. Amplification of fluid flow during forced breathing reached significance at all positions except for lumbar and cervical epidural veins and the internal jugular vein which showed decreased flow rates. Veins of the superior and inferior parts of the body followed an opposite flow behavior.Conclusion: Our results support the notion that deep respiration acts as a coupling mechanism of the interdependent venous and CSF flow. Surpassing a certain threshold of intrathoracic and abdominal volume and pressure, deep breathing may perturb their cardiac-dominated fluid dynamics and prompt a synchronous increase of movements. Insights into the driving forces of CSF and venous circulation extend our understanding how the cerebral venous system may be conjunct to intracranial pressure regulations. It will further facilitate our understanding of the pathophysiology of related forms of hydrocephalus.


2013 ◽  
Vol 726 ◽  
pp. 160-195 ◽  
Author(s):  
Marcello Lappa

AbstractThe present analysis extends the author’s earlier work (Lappa, Phys. Fluids, vol. 25, 2003, 012101; Lappa, Chaos, vol. 23, 2003, 013105) on the properties of patterns formed by the spontaneous accumulation and ordering of solid particles in certain types of flow (with a toroidal structure and a travelling wave propagating in the azimuthal direction) by considering the potential impact of ‘vibrations’ (g-jitters) on such dynamics. It is shown that a kaleidoscope of possible variants exist whose nature and variety calls for a concerted analysis using the tools of computational fluid dynamics in synergy with dimensional arguments and existing theories on the effect of periodic accelerations on fluid systems. A possible categorization of the observed phenomena is introduced according to the type and scale of ‘defects’ displayed by the emerging particle aggregates with respect to unperturbed (vibration-less) conditions. It is shown that the resulting degree of ‘turbulence’ depends essentially on the direction $(\phi )$, amplitude $(\gamma )$ and frequency $(\varpi )$ of the applied inertial disturbance. A range of amplitudes and frequencies exist where the formation of recognizable particle structures is prevented. A quantitative map (in the $\gamma \text{{\ndash}} \varpi $ plane) for their occurrence is derived with the express intent of supporting the optimization of future experiments to be performed in space.


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