Academic literature on the topic 'Turbulent flow'

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Journal articles on the topic "Turbulent flow"

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Oluwadare, Benjamin Segun, Paul Chukwulozie Okolie, David Ojo Akindele, Oluwafemi Festus Olaiyapo, Ayobami Phillip Akinsipe, and Oku Ekpenyong Nyong. "Transition to Turbulence of a Laminar Flow Accelerated to a Statistically Steady Turbulent Flow." European Journal of Theoretical and Applied Sciences 2, no. 3 (May 1, 2024): 430–45. http://dx.doi.org/10.59324/ejtas.2024.2(3).34.

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This current study investigates the turbulence response in a flow accelerated from laminar to a statistically steady turbulent flow utilising Particle Image Velocimetry (PIV) and Constant Temperature Anemometry (CTA). The dimensions of the rectangular flow facility are 8 m in length, 0.35 m in width, and 0.05 m in height. The flow is increased via the pneumatic control valve from a laminar to a statistically steady turbulent flow, and the laminar-turbulent transition is examined. As the flow accelerates to turbulent from laminar, the friction coefficient increases quickly and approaches its maximum value within a short period. As a result, a boundary layer forms extremely near to the wall, increasing the velocity gradient and viscous force. The friction coefficient and viscous force decrease with increasing boundary layer thickness, and transition occurs as a result of instability of the boundary layer. The friction coefficient is used to specify the beginning and end of the transition. The transition starts when the friction coefficient reaches its minimal value. It increases again, and its maximum value marks the end of the transition to turbulence. The study shows that three stages lead to turbulence near the wall when the flow is accelerated from laminar to turbulent. These phases are similar to the transient turbulent flow reported. The reaction of mean velocity as laminar flow is accelerated to turbulent flow is investigated. The mean velocity behaves like a "plug flow" when the flow accelerates from laminar to turbulent, meaning that everywhere in the flow zone, except for the position extremely near the wall, the flow behaves like a solid body. The changes in the channel flow that accelerates from a laminar to a turbulent condition are presented, together with the turbulence statistics, wall shear stress, bulk velocity, and friction coefficient. Like the boundary layer bypass transition and transient turbulent flows, the transition to turbulence follows a similar process.
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Oluwadare, Benjamin Segun, Paul Chukwulozie Okolie, David Ojo Akindele, Oluwafemi Festus Olaiyapo, Ayobami Phillip Akinsipe, and Oku Ekpenyong Nyong. "Transition to Turbulence of a Laminar Flow Accelerated to a Statistically Steady Turbulent Flow." European Journal of Theoretical and Applied Sciences 2, no. 2 (March 1, 2024): 928–43. http://dx.doi.org/10.59324/ejtas.2024.2(2).82.

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This current study investigates the turbulence response in a flow accelerated from laminar to a statistically steady turbulent flow utilising Particle Image Velocimetry (PIV) and Constant Temperature Anemometry (CTA). The dimensions of the rectangular flow facility are 8 m in length, 0.35 m in width, and 0.05 m in height. The flow is increased via the pneumatic control valve from a laminar to a statistically steady turbulent flow, and the laminar-turbulent transition is examined. As the flow accelerates to turbulent from laminar, the friction coefficient increases quickly and approaches its maximum value within a short period. As a result, a boundary layer forms extremely near to the wall, increasing the velocity gradient and viscous force. The friction coefficient and viscous force decrease with increasing boundary layer thickness, and transition occurs as a result of instability of the boundary layer. The friction coefficient is used to specify the beginning and end of the transition. The transition starts when the friction coefficient reaches its minimal value. It increases again, and its maximum value marks the end of the transition to turbulence. The study shows that three stages lead to turbulence near the wall when the flow is accelerated from laminar to turbulent. These phases are similar to the transient turbulent flow reported. The reaction of mean velocity as laminar flow is accelerated to turbulent flow is investigated. The mean velocity behaves like a "plug flow" when the flow accelerates from laminar to turbulent, meaning that everywhere in the flow zone, except for the position extremely near the wall, the flow behaves like a solid body. The changes in the channel flow that accelerates from a laminar to a turbulent condition are presented, together with the turbulence statistics, wall shear stress, bulk velocity, and friction coefficient. Like the boundary layer bypass transition and transient turbulent flows, the transition to turbulence follows a similar process.
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A., Gorin. "1111 UNIVERSAL TRENDS OF FORCED CONVECTION IN COMPLEX TURBULENT FLOWS CLASSIFIED UNDER TURBULENT SEPARATED FLOW." Proceedings of the International Conference on Jets, Wakes and Separated Flows (ICJWSF) 2013.4 (2013): _1111–1_—_1111–6_. http://dx.doi.org/10.1299/jsmeicjwsf.2013.4._1111-1_.

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Neuhaus, Lars, Daniel Ribnitzky, Michael Hölling, Matthias Wächter, Kerstin Avila, Martin Kühn, and Joachim Peinke. "Model wind turbine performance in turbulent–non-turbulent boundary layer flow." Journal of Physics: Conference Series 2767, no. 4 (June 1, 2024): 042018. http://dx.doi.org/10.1088/1742-6596/2767/4/042018.

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Abstract With increasing distance from the coast and greater hub heights, wind turbines expand into unknown, hardly researched environmental conditions. As height increases, laminar flow conditions become more likely. With the simultaneous increase in rotor diameter, very different flow conditions, from laminar to turbulent, occur over the rotor area. It is crucial to understand the effects of these different flow conditions on wind turbines. We approach this through wind tunnel experiments, presenting a setup with two different active grids. This setup enables the generation of four different flows – homogeneous, shear, turbulent–non-turbulent, and turbulent–non-turbulent shear flow – each with four different turbulence levels. The turbulent–non-turbulent flows exhibit a turbulence intensity gradient between the quasi-laminar flow at the upper and turbulent flow at the lower rotor half, establishing a turbulent–non-turbulent interface between the two rotor halves. In a second step, we investigate the Model Wind Turbine Oldenburg with a rotor diameter of 1.8 m (MoWiTO 1.8) under these conditions and analyze their effects on power output and blade loads. While the power fluctuations depend directly on the turbulence intensity, an additional turbulence intensity gradient shows no significant effect. A stronger effect can be observed for the blade root bending moments, the fluctuations of which increase with shear and also in turbulent–non-turbulent flow.
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Stamenkovic, Zivojin, Milos Kocic, and Jelena Petrovic. "The CFD modeling of two-dimensional turbulent MHD channel flow." Thermal Science 21, suppl. 3 (2017): 837–50. http://dx.doi.org/10.2298/tsci160822093s.

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In this paper, influence of magnetic field on turbulence characteristics of twodimensional flow is investigated. The present study has been undertaken to understand the effects of a magnetic field on mean velocities and turbulence parameters in turbulent 2-D channel flow. Several cases are considered. First laminar flow in a channel and MHD laminar channel flow are analyzed in order to validate model of magnetic field influence on electrically conducting fluid flow. Main part of the paper is focused on MHD turbulence suppression for 2-D turbulent flow in a channel and around the flat plate. The simulations are performed using ANSYS CFX software. Simulations results are obtained with BSL Reynolds stress model for turbulent and MHD turbulent flow around flat plate. The nature of the flow has been examined through distribution of mean velocities, turbulent fluctuations, vorticity, Reynolds stresses and turbulent kinetic energy.
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Gorin, Alexander V. "HEAT TRANSFER IN TURBULENT SEPARATED FLOWS(Flow around Cylinder 1)." Proceedings of the International Conference on Jets, Wakes and Separated Flows (ICJWSF) 2005 (2005): 445–50. http://dx.doi.org/10.1299/jsmeicjwsf.2005.445.

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Kashyap, Pavan, Yohann Duguet, and Olivier Dauchot. "Flow Statistics in the Transitional Regime of Plane Channel Flow." Entropy 22, no. 9 (September 8, 2020): 1001. http://dx.doi.org/10.3390/e22091001.

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The transitional regime of plane channel flow is investigated above the transitional point below which turbulence is not sustained, using direct numerical simulation in large domains. Statistics of laminar-turbulent spatio-temporal intermittency are reported. The geometry of the pattern is first characterized, including statistics for the angles of the laminar-turbulent stripes observed in this regime, with a comparison to experiments. High-order statistics of the local and instantaneous bulk velocity, wall shear stress and turbulent kinetic energy are then provided. The distributions of the two former quantities have non-trivial shapes, characterized by a large kurtosis and/or skewness. Interestingly, we observe a strong linear correlation between their kurtosis and their skewness squared, which is usually reported at much higher Reynolds number in the fully turbulent regime.
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Ansorge, Cedrick, and Juan Pedro Mellado. "Analyses of external and global intermittency in the logarithmic layer of Ekman flow." Journal of Fluid Mechanics 805 (September 23, 2016): 611–35. http://dx.doi.org/10.1017/jfm.2016.534.

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Existence of non-turbulent flow patches in the vicinity of the wall of a turbulent flow is known as global intermittency. Global intermittency challenges the conventional statistics approach when describing turbulence in the inner layer and calls for the use of conditional statistics. We extend the vorticity-based conditioning of a flow to turbulent and non-turbulent sub-volumes by a high-pass filter operation. This modified method consistently detects non-turbulent flow patches in the outer and inner layers for stratifications ranging from the neutral limit to extreme stability, where the flow is close to a complete laminarization. When applying this conditioning method to direct numerical simulation data of stably stratified Ekman flow, we find the following. First, external intermittency has a strong effect on the logarithmic law for the mean velocity in Ekman flow under neutral stratification. If instead of the full field, only turbulent sub-volumes are considered, the data fit an idealized logarithmic velocity profile much better; in particular, a problematic dip in the von Kármán measure$\unicode[STIX]{x1D705}$in the surface layer is decreased by approximately 50 % and our data only support the reduced range$0.41\lesssim \unicode[STIX]{x1D705}\lesssim 0.43$. Second, order-one changes in turbulent quantities under strong stratification can be explained by a modulation of the turbulent volume fraction rather than by a structural change of individual turbulence events; within the turbulent fraction of the flow, the character of individual turbulence events measured in terms of turbulence dissipation rate or variance of velocity fluctuations is similar to that under neutral stratification.
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Bech, Knut H., and Helge I. Andersson. "Secondary flow in weakly rotating turbulent plane Couette flow." Journal of Fluid Mechanics 317 (June 25, 1996): 195–214. http://dx.doi.org/10.1017/s0022112096000729.

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As in the laminar case, the turbulent plane Couette flow is unstable (stable) with respect to roll cell instabilities when the weak background angular velocity Ωk is antiparallel (parallel) to the spanwise mean flow vorticity (-dU/dy)k. The critical value of the rotation number Ro, based on 2Ω and dU/dy of the corresponding laminar flow, was estimated as 0.0002 at a low Reynolds number with fully developed turbulence. Direct numerical simulations were performed for Ro = ±0.01 and compared with earlier results for non-rotating Couette flow. At the low rotation rates considered, both senses of rotation damped the turbulence and the number of near-wall turbulence-generating events was reduced. The destabilized flow was more energetic, but less three-dimensional, than the non-rotating flow. In the destabilized case, the two-dimensional roll cells extracted a comparable amount of kinetic energy from the mean flow as did the turbulence, thereby decreasing the turbulent kinetic energy. The turbulence anisotropy was practically unaffected by weak spanwise rotation, while the secondary flow was highly anisotropic due to its inability to contract and expand in the streamwise direction.
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Zhao, Hanqing, Jing Yan, Saiyu Yuan, Jiefu Liu, and Jinyu Zheng. "Effects of Submerged Vegetation Density on Turbulent Flow Characteristics in an Open Channel." Water 11, no. 10 (October 16, 2019): 2154. http://dx.doi.org/10.3390/w11102154.

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The vegetation density λ affects turbulent flow type in the submerged vegetated river. This laboratory study investigates different types of vegetated turbulent flow, especially the flow at 0.04 < λ < 0.1 and λ = 1.44 by setting the experimental λ within a large range. Vertical distributions of turbulent statistics (velocity, shear stress and skewness coefficients), turbulence kinetic generation rate and turbulence spectra in different λ conditions have been presented and compared. Results indicate that for flow at 0.04 < λ < 0.1, the profiles of turbulent statistics manifest characteristics that are similar to those of both the bed-shear flow and the free-shear flow, and the turbulence spectral curves are characterized with some slight humps within the low-frequency range. For λ = 1.44, the turbulent statistics above the vegetation top demonstrate the characteristics of boundary-shear flow. The spectral curves fluctuate intensely within the low-frequency range, and the spectra of low-frequency eddies above vegetation top are significantly larger than the values below. The change of turbulent flow type induced by an increase of λ would increase the maximum value of turbulence kinetic generation rate GS and change the point where GS is vertically maximum upwards to the vegetation top.
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Dissertations / Theses on the topic "Turbulent flow"

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Alves, Portela Felipe. "Turbulence cascade in an inhomogeneous turbulent flow." Thesis, Imperial College London, 2017. http://hdl.handle.net/10044/1/63233.

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The inhomogeneous, anisotropic turbulence downstream of a square prism is investigated by means of direct numerical simulations (DNS) and two-point statistics. As noted by Moffatt (2002) “it now seems that the intense preoccupation [...] with the problem of homogeneous isotropic turbulence was perhaps misguided” acknowledging there is now a revived interest in studying inhomogeneous turbulence. The full description of the turbulence cascade requires a two-point analysis which re- volves around the recently derived Kármán-Howarth-Monin-Hill equation (KHMH). This equation is the inhomogeneous/anisotropic analogue to the so-called Kolmogorov equation (or Kármán-Howarth equation) used in Kolmogorov’s 1941 seminal papers (K41) which are the foundation to the most successful turbulence theory to date. Particular focus is placed on the near wake region where the turbulence is anticipated to be highly inhomogeneous and anisotropic. Because DNS gives direct access to all ve- locity components and their derivatives, all terms of the KHMH can be computed directly without resorting to any simplifications. Computation of the term associated with the non-linear inter-scale transfer of energy (Π) revealed that this rate is roughly constant over a range of scales which increases (within the bounds of our database) with distance to the wake generator, provided that the orientations of the pairs of points are averaged-out on the plane of the wake. This observation appears in tandem with a near −5/3 power law in the spectra of fluctuating velocities which deteriorates as the constancy of Π improves. The constant non-linear inter-scale transfer plays a major role in K41 and is required for deriving the 2/3-law (which is real space equivalent of the −5/3). We extend our analysis to a triple decomposition where the organised motion associ- ated with the vortex shedding is disentangled from the stochastic motions which do not display a distinct time signature. The imprint of the shedding-associated motion upon the stochastic component is observed to contribute to the small-scale anisotropy of the stochastic motion. Even though the dynamics of the shedding-associated motion differs drastically from that of the stochastic one, we find that both contributions are required in order to preserve the constant inter-scale transfer of energy. We further find that the inter- scale fluxes resulting from this decomposition display local (in scale-space) combinations of direct and inverse cascades. While the inter-scale fluxes associated with the coherent motion can be explained on the basis of simple geometrical arguments, the stochastic motion shows a persistent inverse cascade at orientations normal to the centreline despite its energy appearing to be roughly isotropically distributed.
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Goh, Eng Yew. "Turbulent slender flow calculations." Thesis, Imperial College London, 1990. http://hdl.handle.net/10044/1/46316.

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Wang, Yueping. "Flow-dependent corrosion in turbulent pipe flow." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/nq23972.pdf.

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Newley, Trevor Michael Jeremy. "Turbulent air flow over hills." Thesis, University of Cambridge, 1986. https://www.repository.cam.ac.uk/handle/1810/250880.

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Shahmardi, Armin. "Turbulent Duct Flow with Polymers." Thesis, KTH, Mekanik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-226157.

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Direct numerical simulation of the turbulent flow in a square duct with polymers has been performed and the results have been compared with the laboratory experiments done at KTH Mechanical engineering department. The polymer suspension is simulated with the FENE-P model, and the numerical results are used to elucidate the mechanism that provides drag reduction and the effect of polymers on the secondary motion which is typical of the turbulent flow in ducts. Experiments are used to support and validate the numerical data, and to discuss the Reynolds number dependency of the obtained drag reduction. The study shows that the Prandtl's secondary flow is modified by the polymers: the classical 8 regions, in the cross section with high vorticity, are bigger in the polymer flow than those in the Newtonian case, and their centers are displaced towards the center of the duct away from the wall. In plane fluctuations are reduced and streamwise coherence of the flow enhanced in the presence of polymers.
Direkt numerisk simulering av det turbulenta flödet i en kvadratisk kanal med polymerer har utförts och resultaten har jämförts med de laboratorieexperiment som gjorts vid KTH: s maskintekniska avdelning. Polymersuspensionen simuleras med FENE-P-modellen och de numeriska resultaten används för att belysa mekanismen som ger dragreduktion och effekten av polymerer på sekundärrörelsen som är typisk för det turbulenta flödet i kanaler. Experiment används för att stödja och validera de numeriska data och för att diskutera Reynolds beroendet av den erhållna dragreduceringen. Studien visar att Prandtls sekundära flöde modifieras av polymererna: de klassiska 8 regionerna i tvärsnittet med hög vorticitet är större i polymerflödet än de i det newtonska fallet och deras centra är förskjutna mot centrum av kanalen bort från väggen. I planfluktuationer reduceras och strömningsförstärkt sammanhängning av flödet förbättras i närvaro av polymerer.
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DeGiuli, Eric. "Turbulent flow in geophysical channels." Thesis, University of British Columbia, 2009. http://hdl.handle.net/2429/12802.

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The problem of turbulent ow in a rough pipe of arbitrary shape is considered. The classical Izakson-Millikan argument for a logarithmic velocity profile is presented, and matched asymptotic expansions are introduced. Scaled, dimensionless equations are produced and simplified. A simple mixing length turbulence model is presented, which closes the problem. To calibrate the model, the mechanical problem is solved in the case of a circular pipe. Excellent agreement with engineering relations is obtained. The mechanical problem for a non-circular pipe is posed, and the boundary layer problem is solved. This leaves unknown the wall stress, which is sought through approximate methods of solution in the outer region. These are presented and the approximate solutions thus obtained are compared to full numerical solutions and data for a square, elliptical, and semi-elliptical pipe. The approximations are vindicated, but agreement between the numerical solutions and data is only moderate. Discrepancies are explained in terms of the neglected secondary ow. The thermal problem is posed, with scalings taken for intended application in glaciology. The problem is solved for a circular pipe. Heat transfer results are presented and compared with empirical relations. The general problem for a non-circular pipe is posed, and approximate methods of solution are motivated, in analogy to those used for the mechanical problem. These are used to obtain approximate solutions, which are compared with numerical solutions, to good agreement. Possible applications of these solutions are discussed.
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Ratnanather, John Tilak. "Numerical analysis of turbulent flow." Thesis, University of Oxford, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.236094.

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ALBAGLI, RAFAEL CAMEL. "WAX DEPOSITION IN TURBULENT FLOW." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2017. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=29917@1.

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A deposição de parafina é um fenômeno presente nos sistemas de produção de petróleo (principalmente em águas profundas devido às baixas temperaturas), consistindo na aderência de frações sólidas de hidrocarbonetos nas colunas e linhas, conduzindo à redução da área aberta ao fluxo até o eventual bloqueio. A compreensão dos mecanismos que influenciam na deposição ainda não foi totalmente alcançada. Dada a relevância deste tipo de sistema para o desenvolvimento de novos campos e a ausência de uma teoria consolidada que seja capaz de explicar a evolução e as características do depósito, a limitação de produção por este fenômeno é um dos principais problemas de garantia de escoamento. Visando a aumentar o conhecimento acerca dos fenômenos existentes no processo de deposição, e identificar os mecanismos dominantes, diferentes modelos matemáticos podem ser confrontados com dados experimentais. Geralmente, os escoamentos encontrados ao longo das linhas de produção encontram-se no regime turbulento. Dessa forma, no presente trabalho, desenvolveu-se um modelo de turbulência de duas equações k–omega, acoplado com o modelo entalpia-porosidade, no qual o depósito é considerado um meio poroso. A partir de um equilíbrio termodinâmico determinam-se as espécies que saem de solução e a sua distribuição é determinada pela equação de conservação molar. As equações de conservação foram resolvidas pelo método de volumes finitos, utilizando o esquema Power-law e Euler implícito para as discretizações espacial e temporal. Comparações com dados experimentais em um duto anular foram realizadas, apresentando boa concordância para o regime permanente, mas superestimando a espessura do depósito durante o regime transiente. Constatou-se redução de espessura do depósito com o aumento do número de Reynolds.
Wax deposition is a phenomenon present in oil production systems (mainly in deep water due to the low temperatures), which consists in the adhesion of solids fractions of hydrocarbon to tubing and lines, reducing the area opened to flow until be completely blocked. The comprehension of the mechanisms that influences in the deposition has not yet been fully achieved. Given the relevance of this kind of system in new fields development and the absence of a theory able to explain the deposit s evolution and characteristics, the production limitation caused by this phenomenon is one of the main issues in flow assurance. Aiming to expand the knowledge about the phenomena that exist in deposition process and identify dominant mechanisms, different mathematical models can be compared with experimental data. The flow regime in production lines is usually turbulent. Thus, in this work, a two equation k-omega turbulence model coupled to the enthalpy-porosity model, where the deposit is a porous media, was developed. From a thermodynamic equilibrium, the species that comes out of solution are determined while their distribution are determined by each molar conservation equation. The conservations equations were solved with the finite volume method, employing the Power-law and implicit Euler schemes to handle the spatial and temporal discretization. Comparisons with experimental data in an annular duct were realized, showing good agreement in the steady state. The deposit thickness, howeve, was overestimated during the transient. The deposit thickness reduction with the Reynold number increase was verified.
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Tapia, Siles Silvia Cecilia. "Robotic locomotion in turbulent flow." Paris 6, 2011. http://www.theses.fr/2011PA066414.

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Certains poissons utilisent les turbulences de leur milieu pour réduire les coûts énergétiques liés à la nage. Par exemple, les truites ont la capacité de synchroniser leur allures par rapport à la succession stéréotypée de vortex caractérisant une allée de Karman (Karman vortex street). Les truites peuvent ainsi garder une position stationnaire à contre-courant en consommant très peu d'énergie ou réduire, de 4 à 6 fois, la force nécessaire pour nager à l'intérieur d'un banc, en exploitant les allées de Karman induites par les poissons les devançant. En s'inspirant du comportement des poissons, notre travail a porté sur les méthodes de contrôle d'une telle locomotion pour des robots poissons. Dans ce cadre, nos principales les contributions sont les suivantes : Un modèle cinématique simplifié d'allée de Karman. Ce modèle donne les repères cinématiques pour modéliser les contrôleurs. L'approche présentée est basée sur des concepts de stabilité de l'allée de Karman. Le modèle proposé est une segmentation cinématique d'une allée de Karman stable. La génération et le contrôle biomimétiques de mouvements rythmiques de nage semi-passive. Trois contrôleurs sont proposés afin de fusionner le système Environnement-Corps-Control avec des approches différentes de contrôle : Approche externe. On essaye d’imiter le mouvement du poisson en ajustant les articulations pour suivre l’ondulation désirée. Approche bio inspiré. On utilise le modèle d'un Central Pattern Generator pour générer les mouvements. Approche conceptuelle. On utilise des oscillateurs Adaptatifs en Fréquence pour apprendre la fréquence du KVS
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Wu, Jiunn-Chi. "A study of unsteady turbulent flow past airfoils." Diss., Georgia Institute of Technology, 1988. http://hdl.handle.net/1853/13091.

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Books on the topic "Turbulent flow"

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Garde, R. J. Turbulent flow. New York: Wiley, 1994.

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Bernard, Peter S. Turbulent Flow. New York: John Wiley & Sons, Ltd., 2002.

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Drikakis, D., and B. J. Geurts, eds. Turbulent Flow Computation. Dordrecht: Kluwer Academic Publishers, 2004. http://dx.doi.org/10.1007/0-306-48421-8.

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D, Drikakis, and Geurts Bernard, eds. Turbulent flow computation. Dordrecht: Kluwer Academic, 2002.

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Hin, Andrea Joanna Serafina. Visualization of turbulent flow. Delft: Delft University of Technology, 1994.

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Hoffman, Johan, and Claes Johnson. Computational Turbulent Incompressible Flow. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-46533-1.

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Peyret, Roger, and Egon Krause, eds. Advanced Turbulent Flow Computations. Vienna: Springer Vienna, 2000. http://dx.doi.org/10.1007/978-3-7091-2590-8.

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Pitts, William M. Chemically reacting turbulent flow. Gaithersburg, MD: U.S. Dept. of Commerce, National Bureau of Standards, 1986.

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Astrup, Poul. Turbulent gas-particle flow. Roskilde: Risø National Laboratory, 1992.

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C, Mongia H., So Ronald M. C, and Whitelaw James H, eds. Turbulent reactive flow calculations. New York: Gordon and Breach Science Publishers, 1988.

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Book chapters on the topic "Turbulent flow"

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Stanišić, M. M. "Turbulent Flow." In Universitext, 10–91. New York, NY: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4612-3840-9_2.

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Gooch, Jan W. "Turbulent Flow." In Encyclopedic Dictionary of Polymers, 774. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_12218.

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Stanišić, M. M. "Turbulent Flow." In Universitext, 10–91. New York, NY: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4684-0263-6_3.

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Kumar, Shiv. "Turbulent Flow." In Fluid Mechanics (Vol. 2), 83–117. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99754-0_2.

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Hirschel, Ernst Heinrich, Jean Cousteix, and Wilhelm Kordulla. "Laminar-Turbulent Transition and Turbulence." In Three-Dimensional Attached Viscous Flow, 201–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41378-0_9.

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Doolan, Con, and Danielle Moreau. "Laminar and Turbulent Flow." In Flow Noise, 71–105. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2484-2_6.

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Babu, V. "Turbulent Flows." In Fundamentals of Incompressible Fluid Flow, 157–69. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74656-8_8.

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Yershin, Shakhbaz A. "Turbulent Flow Dispersion." In Paradoxes in Aerohydrodynamics, 231–55. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25673-3_9.

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Prud’homme, Roger. "Turbulent Flow Concepts." In Flows of Reactive Fluids, 169–229. Boston: Birkhäuser Boston, 2010. http://dx.doi.org/10.1007/978-0-8176-4659-2_8.

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Taler, Dawid. "Turbulent Fluid Flow." In Numerical Modelling and Experimental Testing of Heat Exchangers, 129–56. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91128-1_4.

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Conference papers on the topic "Turbulent flow"

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Nakabayashi, Koichi, Osami Kitoh, and Yoshitaka Katou. "TURBULENCE CHARACTERISTICS OF COUETTE-POISEUILLE TURBULENT FLOWS." In Second Symposium on Turbulence and Shear Flow Phenomena. Connecticut: Begellhouse, 2001. http://dx.doi.org/10.1615/tsfp2.80.

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Nishiki, Shinnosuke, Tatsuya Hasegawa, and Ryutaro Himeno. "ANISOTROPIC TURBULENCE GENERATION IN TURBULENT PREMIXED FLAMES." In Second Symposium on Turbulence and Shear Flow Phenomena. Connecticut: Begellhouse, 2001. http://dx.doi.org/10.1615/tsfp2.240.

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Redford, John A., and Gary N. Coleman. "NUMERICAL STUDY OF TURBULENT WAKES IN BACKGROUND TURBULENCE." In Fifth International Symposium on Turbulence and Shear Flow Phenomena. Connecticut: Begellhouse, 2007. http://dx.doi.org/10.1615/tsfp5.860.

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Pal, Anikesh, and Sutanu Sarkar. "EFFECT OF EXTERNAL TURBULENCE ON A TURBULENT WAKE." In Ninth International Symposium on Turbulence and Shear Flow Phenomena. Connecticut: Begellhouse, 2015. http://dx.doi.org/10.1615/tsfp9.180.

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Taveira, Rodrigo M. R., and Carlos B. da Silva. "SCALAR MIXING AT TURBULENT/NON-TURBULENT INTERFACE OF A TURBULENT PLANE JET." In Eighth International Symposium on Turbulence and Shear Flow Phenomena. Connecticut: Begellhouse, 2013. http://dx.doi.org/10.1615/tsfp8.520.

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Johansson, Peter S., Helge I. Andersson, and Robbert Fortunati. "MODELLING TURBULENT FILM FLOW." In Second Symposium on Turbulence and Shear Flow Phenomena. Connecticut: Begellhouse, 2001. http://dx.doi.org/10.1615/tsfp2.1100.

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Ahn, Junsun, Jae Hwa Lee, and Hyung Jin Sung. "Inner-scaled turbulent statistics of turbulent pipe flows." In Eighth International Symposium on Turbulence and Shear Flow Phenomena. Connecticut: Begellhouse, 2013. http://dx.doi.org/10.1615/tsfp8.670.

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JACOBS, J., R. JAMES, C. RATLIFF, and A. GLEZER. "Turbulent jets induced by surface actuators." In 3rd Shear Flow Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-3243.

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Kramer, Felix, Rene Grueneberger, Frank Thiele, Erik Wassen, Wolfram Hage, and Robert Meyer. "Wavy riblets for turbulent drag reduction." In 5th Flow Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-4583.

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Wassen, Erik, Felix Kramer, Frank Thiele, Rene Grueneberger, Wolfram Hage, and Robert Meyer. "Turbulent Drag Reduction by Oscillating Riblets." In 4th Flow Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-4204.

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Reports on the topic "Turbulent flow"

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Reynolds, W. C. Turbulent Flow Control. Fort Belvoir, VA: Defense Technical Information Center, May 1995. http://dx.doi.org/10.21236/ada329673.

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Pitts, William M., and Takashi Kashiwagi. Chemically reacting turbulent flow. Gaithersburg, MD: National Bureau of Standards, 1986. http://dx.doi.org/10.6028/nbs.ir.85-3299.

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Truman, C. R. Flow Diagnostic Instrumentation for Turbulent Flow Studies. Fort Belvoir, VA: Defense Technical Information Center, December 2000. http://dx.doi.org/10.21236/ada386696.

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Truman, C. R. Flow Diagnostic Instrumentation for Turbulent Flow Studies. Fort Belvoir, VA: Defense Technical Information Center, December 2000. http://dx.doi.org/10.21236/ada386840.

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Tai, Yu-Chong. Microsensors for Turbulent Flow Diagnostics. Fort Belvoir, VA: Defense Technical Information Center, July 1995. http://dx.doi.org/10.21236/ada299481.

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Pitts, William M., and Takashi Kahiwagi. Mixing in variable density, isothermal turbulent flow and implications for chemically reacting turbulent flows. Gaithersburg, MD: National Bureau of Standards, 1987. http://dx.doi.org/10.6028/nbs.ir.87-3550.

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Morton, D. S. Colloidal particle deposition in turbulent flow. Office of Scientific and Technical Information (OSTI), May 1994. http://dx.doi.org/10.2172/10157881.

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Dechant, Lawrence. Approximate Model for Turbulent Stagnation Point Flow. Office of Scientific and Technical Information (OSTI), January 2016. http://dx.doi.org/10.2172/1235211.

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Mahrt, Larry. Turbulent and Mesoscale Flow in Stable Conditions. Fort Belvoir, VA: Defense Technical Information Center, June 2002. http://dx.doi.org/10.21236/ada429211.

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Kashiwa, B. Statistical theory of turbulent incompressible multimaterial flow. Office of Scientific and Technical Information (OSTI), October 1987. http://dx.doi.org/10.2172/6009875.

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