Thematische Bibliographien / Fluid dynamics. Heat – Transmission. Turbulence

Auswahl der wissenschaftlichen Literatur zum Thema „Fluid dynamics. Heat – Transmission. Turbulence“

Autor: Grafiati
Veröffentlicht am 27. Juli 2024
Zuletzt aktualisiert am 30. Juli 2024

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Zeitschriftenartikel zum Thema "Fluid dynamics. Heat – Transmission. Turbulence"

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Dbouk, Talib, Silvia Aranda-García, Roberto Barcala-Furelos, Antonio Rodríguez-Núñez und Dimitris Drikakis. „Airborne infection risk during open-air cardiopulmonary resuscitation“. Emergency Medicine Journal 38, Nr. 9 (29.06.2021): 673–78. http://dx.doi.org/10.1136/emermed-2021-211209.

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AimCardiopulmonary resuscitation (CPR) is an emergency procedure where interpersonal distance cannot be maintained. There are and will always be outbreaks of infection from airborne diseases. Our objective was to assess the potential risk of airborne virus transmission during CPR in open-air conditions.MethodsWe performed advanced high-fidelity three-dimensional modelling and simulations to predict airborne transmission during out-of-hospital hands-only CPR. The computational model considers complex fluid dynamics and heat transfer phenomena such as aerosol evaporation, breakup, coalescence, turbulence, and local interactions between the aerosol and the surrounding fluid. Furthermore, we incorporated the effects of the wind speed/direction, the air temperature and relative humidity on the transport of contaminated saliva particles emitted from a victim during a resuscitation process based on an Airborne Infection Risk (AIR) Index.ResultsThe results reveal low-risk conditions that include wind direction and high relative humidity and temperature. High-risk situations include wind directed to the rescuer, low humidity and temperature. Combinations of other conditions have an intermediate AIR Index and risk for the rescue team.ConclusionsThe fluid dynamics, simulation-based AIR Index provides a classification of the risk of contagion by victim’s aerosol in the case of hands-only CPR considering environmental factors such as wind speed and direction, relative humidity and temperature. Therefore, we recommend that rescuers perform a quick assessment of their airborne infectious risk before starting CPR in the open air and positioning themselves to avoid wind directed to their faces.
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Ballal, D. R., T. H. Chen und W. J. Schmoll. „Fluid Dynamics of a Conical Flame Stabilizer“. Journal of Engineering for Gas Turbines and Power 111, Nr. 1 (01.01.1989): 97–102. http://dx.doi.org/10.1115/1.3240234.

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Turbulence measurements were performed on a 45 deg conical flame stabilizer with a 31 percent blockage ratio, mounted coaxially at the mouth of a circular pipe and supplied with a turbulent premixed methane-air mixture at a Reynolds number of 2.85 × 104. A two-component LDA system was used in the measurement of mean velocities, turbulence intensities, Reynolds stresses, skewness, and kurtosis. It was found that combustion accelerates mean-flow velocities but damps turbulence intensity via the processes of turbulent dilatation and viscous dissipation due to heat release. Measurements in the axial direction showed that the length of the recirculation zone was nearly doubled as a result of combustion. Also, the region around the downstream stagnation point where streamlines meet and velocities change direction was found to be highly turbulent. Skewness and kurtosis data indicated that large-scale eddies carrying fresh combustible mixture are entrained into the high-shear region surrounding the recirculation zone. Finally, a discussion of turbulence-combustion interaction is presented to explain these experimental results.
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Madaliev, Murodil, Zokhidjon Abdulkhaev, Jamshidbek Otajonov, Khasanboy Kadyrov, Inomjan Bilolov, Sharabiddin Israilov und Nurzoda Abdullajonov. „Comparison of numerical results of turbulence models for the problem of heat transfer in turbulent molasses“. E3S Web of Conferences 508 (2024): 05007. http://dx.doi.org/10.1051/e3sconf/202450805007.

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The study introduces Malikov's two-fluid methodology along with the RSM turbulence model for simulating turbulent heat transfer phenomena. It elucidates that temperature fluctuations within turbulent flows arise from temperature differentials between the respective fluids. Leveraging the two-fluid paradigm, the researchers develop a mathematical framework to characterize turbulent heat transfer dynamics. This resultant turbulence model is then applied to analyze heat propagation in turbulent flows around a flat plate and in scenarios involving submerged jets. To validate the model's efficacy, numerical outcomes are juxtaposed against established RSM turbulence models and experimental findings. The comparative analysis reveals that the two-fluid turbulent transport model aptly captures the thermodynamic behaviors inherent in turbulent flows with exceptional precision.
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Salcudean, Martha. „COMPUTATIONAL FLUID FLOW AND HEAT TRANSFER – AN ENGINEERING TOOL“. Transactions of the Canadian Society for Mechanical Engineering 15, Nr. 2 (Juni 1991): 125–35. http://dx.doi.org/10.1139/tcsme-1991-0007.

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The purpose, method and potential of computational fluid dynamics are discussed. Examples of CFD and heat transfer applications to engineering problems are described. Some limitations related to discretization, convergence rate and turbulence modelling are illustrated through examples, and possible remedies arc discussed.
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Drikakis, Dimitris, Michael Frank und Gavin Tabor. „Multiscale Computational Fluid Dynamics“. Energies 12, Nr. 17 (25.08.2019): 3272. http://dx.doi.org/10.3390/en12173272.

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Computational Fluid Dynamics (CFD) has numerous applications in the field of energy research, in modelling the basic physics of combustion, multiphase flow and heat transfer; and in the simulation of mechanical devices such as turbines, wind wave and tidal devices, and other devices for energy generation. With the constant increase in available computing power, the fidelity and accuracy of CFD simulations have constantly improved, and the technique is now an integral part of research and development. In the past few years, the development of multiscale methods has emerged as a topic of intensive research. The variable scales may be associated with scales of turbulence, or other physical processes which operate across a range of different scales, and often lead to spatial and temporal scales crossing the boundaries of continuum and molecular mechanics. In this paper, we present a short review of multiscale CFD frameworks with potential applications to energy problems.
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Haghighat, F., Z. Jiang, J. C. Y. Wang und F. Allard. „Air Movement in Buildings Using Computational Fluid Dynamics“. Journal of Solar Energy Engineering 114, Nr. 2 (01.05.1992): 84–92. http://dx.doi.org/10.1115/1.2929994.

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This paper presents the development of a three-dimensional numerical model to study the distributions of indoor air velocity, air temperature, contaminant concentration, and ventilation effectiveness in a two-zone enclosure. The numerical model is based on the k–ε two-equation model of turbulence and the SIMPLE algorithm. The false-time step and ADI iteration procedure are employed. The results of the computed velocity and temperature profiles and convective heat transfer by the model are in good agreement with the measurements as well as with the prediction of the PHOENICS code.
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Donnelly, Russell J., und Charles E. Swanson. „Quantum turbulence“. Journal of Fluid Mechanics 173 (Dezember 1986): 387–429. http://dx.doi.org/10.1017/s0022112086001210.

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We present a review of quantum turbulence, that is, the turbulent motion of quantized vortex lines in superfluid helium. Our discussion concentrates on the turbulence produced by steady, uniform heat flow in a pipe, but touches on other turbulent flows as well. We have attempted to motivate the study of quantum turbulence and discuss briefly its connection with classical turbulence. We include background on the two-fluid model and mutual friction theory, examples of modern experimental techniques, and a brief survey of the phenomenology. We discuss the important recent insights that vortex dynamics has provided to the understanding of quantum turbulence, from simple scaling arguments to detailed numerical simulations. We conclude with a discussion of open questions in this field.
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Ames, F. E., und L. A. Dvorak. „Turbulent Transport in Pin Fin Arrays: Experimental Data and Predictions“. Journal of Turbomachinery 128, Nr. 1 (01.02.2005): 71–81. http://dx.doi.org/10.1115/1.2098792.

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The objective of this research has been to experimentally investigate the fluid dynamics of pin fin arrays in order to clarify the physics of heat transfer enhancement and uncover problems in conventional turbulence models. The fluid dynamics of a staggered pin fin array has been studied using hot wire anemometry with both single- and x-wire probes at array Reynolds numbers of 3000, 10,000, and 30,000. Velocity distributions off the endwall and pin surface have been acquired and analyzed to investigate turbulent transport in pin fin arrays. Well resolved 3D calculations have been performed using a commercial code with conventional two-equation turbulence models. Predictive comparisons have been made with fluid dynamic data. In early rows where turbulence is low, the strength of shedding increases dramatically with increasing Reynolds numbers. The laminar velocity profiles off the surface of pins show evidence of unsteady separation in early rows. In row three and beyond, laminar boundary layers off pins are quite similar. Velocity profiles off endwalls are strongly affected by the proximity of pins and turbulent transport. At the low Reynolds numbers, the turbulent transport and acceleration keep boundary layers thin. Endwall boundary layers at higher Reynolds numbers exhibit very high levels of skin friction enhancement. Well-resolved 3D steady calculations were made with several two-equation turbulence models and compared with experimental fluid mechanic and heat transfer data. The quality of the predictive comparison was substantially affected by the turbulence model and near-wall methodology.
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Hawkins, Emily K., Jonathan S. Cheng, Jewel A. Abbate, Timothy Pilegard, Stephan Stellmach, Keith Julien und Jonathan M. Aurnou. „Laboratory Models of Planetary Core-Style Convective Turbulence“. Fluids 8, Nr. 4 (23.03.2023): 106. http://dx.doi.org/10.3390/fluids8040106.

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The connection between the heat transfer and characteristic flow velocities of planetary core-style convection remains poorly understood. To address this, we present novel laboratory models of rotating Rayleigh–Bénard convection in which heat and momentum transfer are simultaneously measured. Using water (Prandtl number, Pr≃6) and cylindrical containers of diameter-to-height aspect ratios of Γ≃3,1.5,0.75, the non-dimensional rotation period (Ekman number, E) is varied between 10−7≲E≲3×10−5 and the non-dimensional convective forcing (Rayleigh number, Ra) ranges from 107≲Ra≲1012. Our heat transfer data agree with those of previous studies and are largely controlled by boundary layer dynamics. We utilize laser Doppler velocimetry (LDV) to obtain experimental point measurements of bulk axial velocities, resulting in estimates of the non-dimensional momentum transfer (Reynolds number, Re) with values between 4×102≲Re≲5×104. Behavioral transitions in the velocity data do not exist where transitions in heat transfer behaviors occur, indicating that bulk dynamics are not controlled by the boundary layers of the system. Instead, the LDV data agree well with the diffusion-free Coriolis–Inertia–Archimedian (CIA) scaling over the range of Ra explored. Furthermore, the CIA scaling approximately co-scales with the Viscous–Archimedian–Coriolis (VAC) scaling over the parameter space studied. We explain this observation by demonstrating that the VAC and CIA relations will co-scale when the local Reynolds number in the fluid bulk is of order unity. We conclude that in our experiments and similar laboratory and numerical investigations with E≳10−7, Ra≲1012, Pr≃7, heat transfer is controlled by boundary layer physics while quasi-geostrophically turbulent dynamics relevant to core flows robustly exist in the fluid bulk.
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Santos, Rômulo Damasclin Chaves dos, und Jorge Henrique de Oliveira Sales. „Analysis and simulation of turbulent flow around an immersed body with constant temperature using the Immersed Boundary Method“. Journal of Engineering and Exact Sciences 9, Nr. 11 (04.10.2023): 16664–01. http://dx.doi.org/10.18540/jcecvl9iss11pp16664-01e.

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In this study, we present an immersed boundary method to analyze interactions between fluids and bodies in two-dimensional (2D) flows around complex geometries, focusing on heat transfer and turbulence. The method uses an Eulerian grid for the fluid, and another Lagrangian grid for the immersed body, ensuring conditions of no slip and considering heat exchanges. We use Navier-Stokes and energy equations with Smagorinsky (LES) and Spalart-Allmaras (URANS) turbulence models. A computational code was implemented to calculate lift, drag and Nusselt coefficients, comparing the results with previous studies at different Reynolds numbers. This research advances the understanding of fluid-body interactions in complex geometries and thermofluid dynamics.
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Dissertationen zum Thema "Fluid dynamics. Heat – Transmission. Turbulence"

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Huval, Danny J. „Heat transfer in variable density, low mach number, stagnating turbulent flows“. Diss., Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/12394.

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Ahmad, Imtiaz 1962. „Simulation of turbulent flow and heat transfer under an impinging round jet discharging into a crossflow“. Thesis, McGill University, 1987. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=66202.

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Chaengbamrung, Apichart. „Turbulent plumes generated by a horizontal area source of buoyancy“. Access electronically, 2005. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20060227.102144/index.html.

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Li, Shuo. „A Numerical Study of Micro Synthetic Jet and Its Applications in Thermal Management“. Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7539.

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A numerical study of axisymmetric synthetic jet flow was conducted. The synthetic jet cavity was modeled as a rigid chamber with a piston-like moving diaphragm at its bottom. The Shear-Stress-Transportation (SST) k-omega and #61559; turbulence model was employed to simulate turbulence. Based on time-mean analysis, three flow regimes were identified for typical synthetic jet flows. Typical vortex dynamics and flow patterns were analyzed. The effects of changes of working frequency, cavity geometry (aspect ratio), and nozzle geometry were investigated. A control-volume model of synthetic jet cavity was proposed based on the numerical study, which consists of two first-order ODEs. With appropriately selected parameters, the model was able to predict the cavity pressure and average velocity through the nozzle within 10% errors compared with full simulations. The cavity model can be used to generate the boundary conditions for synthetic jet simulations and the agreement to the full simulation results was good. The saving of computational cost is significant. It was found that synthetic jet impingement heat transfer outperforms conventional jet impingement heat transfer with equivalent average jet velocity. Normal jet impingement heat transfer using synthetic jet was investigated numerically too. The effects of changes of design and working parameters on local heat transfer on the impingement plate were investigated. Key flow structures and heat transfer characteristics were identified. At last, a parametric study of an active heat sink employing synthetic jet technology was conducted using Large Eddy Simulation (LES). Optimal design parameters were recommended base on the parametric study.
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Gempesaw, Daniel. „A multi-resolution discontinuous Galerkin method for rapid simulation of thermal systems“. Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42775.

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Efficient, accurate numerical simulation of coupled heat transfer and fluid dynamics systems continues to be a challenge. Direct numerical simulation (DNS) packages like FLU- ENT exist and are sufficient for design and predicting flow in a static system, but in larger systems where input parameters can change rapidly, the cost of DNS increases prohibitively. Major obstacles include handling the scales of the system accurately - some applications span multiple orders of magnitude in both the spatial and temporal dimensions, making an accurate simulation very costly. There is a need for a simulation method that returns accurate results of multi-scale systems in real time. To address these challenges, the Multi- Resolution Discontinuous Galerkin (MRDG) method has been shown to have advantages over other reduced order methods. Using multi-wavelets as the local approximation space provides an inherently efficient method of data compression, while the unique features of the Discontinuous Galerkin method make it well suited to composition with wavelet theory. This research further exhibits the viability of the MRDG as a new approach to efficient, accurate thermal system simulations. The development and execution of the algorithm will be detailed, and several examples of the utility of the MRDG will be included. Comparison between the MRDG and the "vanilla" DG method will also be featured as justification of the advantages of the MRDG method.
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Burt, Andrew C. „A computational study of mixing in stratified liquid-liquid flows using analogy between heat and mass transfer“. Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=1948.

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Thesis (M.S.)--West Virginia University, 2001.
Title from document title page. Document formatted into pages; contains x, 76 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 71-72).
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Sawyer, Mikel Louis. „High intensity heat transfer to a stream of monodispersed water droplets“. Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/17991.

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Yao, Guang-Fa. „Numerical modeling of condensing two-phase channel flows“. Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/17678.

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Yang, Tianliang, und 楊天亮. „Multiplicity and stability of flow and heat transfer in rotating curved ducts“. Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31242571.

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Parise, Ronald J. „A heat transfer and fluid flow model for the drawing of optical fibers“. Diss., Georgia Institute of Technology, 1989. http://hdl.handle.net/1853/18221.

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Bücher zum Thema "Fluid dynamics. Heat – Transmission. Turbulence"

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1947-, Garg Vijay K., Hrsg. Applied computational fluid dynamics. New York: Marcel Dekker, 1998.

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Zhukauskas, A. A. Heat transfer in turbulent fluid flows. Herausgegeben von Shlanchi͡a︡uskas A und Karni J. Washington: Hemisphere Pub. Corp., 1987.

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Dyban, E. P. Teplomassoobmen i gidrodinamika turbulizirovannykh potokov. Kiev: Nauk. dumka, 1985.

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S, Sarkar, Gatski T. B und Langley Research Center, Hrsg. Modeling the pressure-strain correlation of turbulence: An invariant dynamical systems approach. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

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S, Sarkar, Gatski T. B und Langley Research Center, Hrsg. Modeling the pressure-strain correlation of turbulence: An invariant dynamical systems approach. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

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Tu, Jiyuan. Computational fluid dynamics: A practical approach. Amsterdam: Butterworth-Heinemann, 2008.

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Rishi, Raj, Gatski T. B und Institute for Computer Applications in Science and Engineering., Hrsg. Modeling the dissipation rate in rotating turbulent flows. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, Institute for Computer Applications in Science and Engineering, 1990.

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AIAA/ASME, Thermophysics and Heat Transfer Conference (5th 1990 Seattle Wash ). Heat transfer in turbulent flow: Presented at AIAA/ASME Thermophysics and Heat Transfer Conference, June 18-20, 1990 - Seattle, Washington. New York, N.Y: American Society of Mechanical Engineers, 1990.

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Center, Langley Research, Hrsg. Analytical methods for the development of Reynolds stress closures in turbulence. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

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Petukhov, B. S. Heat transfer in turbulent mixed convection. Herausgegeben von Poli͡a︡kov A. F und Launder B. E. New York: Hemisphere Pub. Corp., 1988.

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Buchteile zum Thema "Fluid dynamics. Heat – Transmission. Turbulence"

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Kumar, Gaurav, Dheeraj Singh, Shweta Gole und D. S. Murthy. „Comparison of Various RANS Turbulence Models for Dry Bed Simulation of Rotating Packed Bed (RPB)“. In Advances in Heat Transfer and Fluid Dynamics, 119–30. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-7213-5_10.

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Sethuramalingam, Ramamoorthy, und Abhishek Asthana. „Design Improvement of Water-Cooled Data Centres Using Computational Fluid Dynamics“. In Springer Proceedings in Energy, 105–13. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63916-7_14.

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AbstractData centres are complex energy demanding environments. The number of data centres and thereby their energy consumption around the world is growing at a rapid rate. Cooling the servers in the form of air conditioning forms a major part of the total energy consumption in data centres and thus there is an urgent need to develop alternative energy efficient cooling technologies. Liquid cooling systems are one such solution which are in their early developmental stage. In this article, the use of Computational Fluid Dynamics (CFD) to further improve the design of liquid-cooled systems is discussed by predicting temperature distribution and heat exchanger performance. A typical 40 kW rack cabinet with rear door fans and an intermediate air–liquid heat exchanger is used in the CFD simulations. Steady state Reynolds-Averaged Navier–Stokes modelling approach with the RNG K-epsilon turbulence model and the Radiator boundary conditions were used in the simulations. Results predict that heat exchanger effectiveness and uniform airflow across the cabinet are key factors to achieve efficient cooling and to avoid hot spots. The fundamental advantages and limitations of CFD modelling in liquid-cooled data centre racks were also discussed. In additional, emerging technologies for data centre cooling have also been discussed.
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Wang, Zhiwei, Yanping He, Zhongdi Duan, Chao Huang und Shiwen Liu. „Direct Contact Condensation Characteristics of Steam Injection into Cold-Water Pipe Under Rolling Condition“. In Springer Proceedings in Physics, 753–63. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1023-6_65.

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AbstractDirect contact condensation (DCC) is widely occurred in nuclear power systems and leads to undesired phenomena such as condensation-induced water hammer. For ocean nuclear power ships, DCC is inevitable in the passive heat removal system and influenced by sea conditions. In this paper, the characteristics of DCC under rolling conditions are analyzed. The numerical model of DCC is established based on computational fluid dynamics approach. The VOF model, SST k–ω turbulence model and the additional inertia force model are incorporated to describe the liquid-gas two-phase flow under the rolling motion. The condensation model based on surface renewal theory (SRT) is used to simulate steam-water DCC phenomenon. The simulation results are compared with the experimental data and show reasonable agreement. The effects of rolling motion on DCC for steam injection into a horizontal pipe filled with cold water are numerically investigated. The results show that the additional inertial forces and the average condensation rate increase with the increase of the rolling angle and frequency. The reverse flow of the seawater induced by rolling motion leads to the accumulation of the steam at the lower part of the pipe, resulting in a large pressure pulse. With the increase of rolling angle and frequency, the pressure pulse induced by DCC increases.
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Lauga, Eric. „8. Researching fluids and flows“. In Fluid Mechanics: A Very Short Introduction, 129–34. Oxford University Press, 2022. http://dx.doi.org/10.1093/actrade/9780198831006.003.0008.

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‘Researching fluids and flows’ summarizes current research in fluid mechanics by starting with environmental flows, motivated by climate change, and the active fluid dynamics of our changing environment. Examples include atmospheric flows, ocean transport, ice dynamics, flow of rivers and lakes, and the role of stratification. The fluid mechanics of energy is motivated by the desire to build a greener world. Examples include wind farms, natural ventilation, biofuels, pollution transport, and remediation. Complex fluids and materials, including non-Newtonian fluids, can behave as a combination of both fluids and solids. Examples include cosmetic products, granular materials, suspensions, and liquid crystals. It is worth looking at flows on small scales, where a new fundamental understanding of flows at the limit of the continuum scale is now possible. Flows are relevant to the biological world. Examples include locomotion, vascular plants, blood flow, and the fluid dynamics of disease transmission. there are two fundamental mysteries at the heart of fluid mechanics: the nature of turbulence and the mathematical structure of the equations for fluid flows (Navier–Stokes equations).
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Schwab, John R. „Thermal Turbulence Modelling Techniques and Applications“. In Turbomachinery Fluid Dynamics and Heat Transfer, 179–93. Routledge, 2017. http://dx.doi.org/10.1201/9780203734919-8.

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„Scalar/Heat-Flux-Transport Modelling“. In Statistical Turbulence Modelling for Fluid Dynamics — Demystified, 303–13. IMPERIAL COLLEGE PRESS, 2015. http://dx.doi.org/10.1142/9781783266623_0013.

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Suga, K. „9 Analytical wall-functions of turbulence for complex surface flow phenomena“. In Computational Fluid Dynamics and Heat Transfer, 331–80. WIT Press, 2010. http://dx.doi.org/10.2495/978-1-84564-144-3/09.

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Suren, Chandran, und Karthikeyan Natarajan. „External Flow Separation“. In Applications of Computational Fluid Dynamics Simulation and Modeling. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.104714.

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The flow transit from laminar to turbulent over the surface due to adverse pressure gradient, that the region in between the laminar separation and turbulent reattachment is called Laminar separation bubble. It experiences on the many engineering devices as well as controls the aerodynamic and heat transfer characteristics. The way of transition formation differs based on geometry, flow configuration and method of transition initiations by a wide range of possible background disturbance as free stream turbulence, pressure gradient, acoustic noise, wall roughness and obstructions, periodic unsteady disturbance so on. This chapter discusses about the flow transition on airfoil and nozzle in general and focuses more on the transition process in the free shear layer of separation bubbles, free stream turbulence, and identification of separation point with the help of the CFD method.
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Atgur, Vinay, Gowda Manavendra, Gururaj Pandurangarao Desai und Boggarapu Nageswara Rao. „CFD Combustion Simulations and Experiments on the Blended Biodiesel Two-Phase Engine Flows“. In Computational Fluid Dynamics [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.102088.

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Biodiesels are the promising sources of alternative energy. Combustion phenomenon of blended biodiesels differs to those of diesel due to changes in physio-chemical properties. Experimental investigations are costly and time-consuming process, whereas mathematical modeling of the reactive flows is involved. This chapter deals with combustion simulations on four-stroke single-cylinder direct injection compression ignition engine running at a constant speed of 1500 rpm, injection timing of 25° BTDC with diesel and 20% blend of Jatropha biodiesel. Standard finite volume method of computational fluid dynamics (CFD) is capable of simulating two-phase engine flows by solving three-dimensional Navier–Stokes equations with k-ε turbulence model. Combustion simulations have been carried out for half-cycle by considering the two strokes compression and expansion at zero load condition. The model mesh consists of 557,558 elements with 526,808 nodes. Fuel injection begins at 725° and continues till 748° of the crank angle. Charge motion within the cylinder, turbulent kinetic energy, peak pressure, penetration length, and apparent heat release rate are analyzed with respect to the crank angle for diesel and its B-20 Jatropha blend. Experimental data supports the simulation results. B-20 Jatropha blend possesses similar characteristics of diesel and serves as an alternative to diesel.
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Rincón-Casado, Alejandro, und Francisco José Sánchez de la Flor. „A New Forced Convection Heat Transfer Correlation for 2D Enclosures“. In Applications of Computational Fluid Dynamics Simulation and Modeling. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.99375.

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This work presents a new parametric correlation for 2D enclosures with forced convection obtained from CFD simulation. The convective heat transfer coefficient of walls for enclosures depends on the geometry of the enclosure and the inlet and outlet openings, the velocity and the air to wall temperature difference. However, current correlations not dependent on the above parameters, especially the position of the inlet and outlet, or the temperature difference between the walls. In this work a new correlation of the average Nusselt number for each wall of the enclosure has been developed as a function of geometrical, hydrodynamic and thermal variables. These correlations have been obtained running a set of CFD simulations of a 3 m high sample enclosure with an inlet and outlet located at opposite walls. The varying parameters were: a) the aspect-ratio of the enclosure (L/H = 0.5 to 2), b) the size of the inlet and outlet (0.05 m to 2 m), c) the inlet and outlet relative height (0 m to 3 m high), and d) the Reynolds number (Rein = 103 to 105). Furthermore, a parametric analysis has been performed changing the temperature boundary conditions at the internal wall and founds a novel correlation function that relates different temperatures at each wall. A specifically developed numerical model based on the SIMPLER algorithm is used for the solution of the Navier–Stokes equations. The realisable turbulence k-ε model, and an enhanced wall-function treatment have been used. The heat transfer rate results obtained are expressed through dimensionless correlation-equations. All developed correlations have been compared with CFD simulations test cases obtaining a R2 = 0.98. This new correlation function could be used in building energy models to enhance accuracy of HVAC demands calculation and estimate the thermal load.
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Konferenzberichte zum Thema "Fluid dynamics. Heat – Transmission. Turbulence"

1

Ferrari, Cristian, und Pietro Marani. „Study of Air Inclusion in Lubrication System of CVT Gearbox Transmission With Biphasic CFD Simulation“. In BATH/ASME 2016 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/fpmc2016-1767.

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The focus of this paper is the biphasic phenomena that occurs in a lubrication system of a CVT gearbox transmission of an agricultural tractor, in particular a Method of Analysis is outlined with the aim of mapping and assessing the behavior of the lubrication circuit. The study of the lubrication in gearboxes is an important issue in the design of off-road machines because their reliability depends mostly on the lubrication performance, as well as the machine’s lifetime and overall energy efficiency of the transmission is strongly dependent on the lubrication system behavior. In fact the role of the lubrication system is twofold: firstly to remove the heat generated in the highly loaded rolling bearings and the gears found in the power and accessory gearboxes via heat exchangers; secondly to lubricate these parts. The trend in the development of gearbox transmissions has been towards lower consumption and higher power transmitted, consequently it is necessary to conceive more effective and efficient lubrication systems. Nonetheless the lubrication problem often relies on a trial and error approach and most available scientific literature is based on lumped element model dynamic simulation or one phase thermo-fluid dynamic simulations, overlooking the effects linked to cavitation and air inclusion. One important phenomenon in lubrication systems is that of air suction. This can be seen in particular at high rotational speeds of shafts when the centrifugal force causes a positive pressure drop between inner lubrication pipes and outer radial conduits. In this case the air occupies part of the lubrication conduits, and since the domain is shared by the outflowing liquid phase and the air included, the monophase CFD simulation fails to predict the correct lubrication flow. If this effect is not carefully considered it could cause a lubrication unbalance among the various parts of the gearbox, creating a risk of transmission damage. In this paper the methodology will be presented step by step until in final a complete map of operation condition is created. A preliminary analysis of the circuitry is an essential phase of the project since the tractor’s transmission is an extremely complex assembly composed by hundreds of components therefore the lubrication circuit appears as a large net of moving hydraulic connections and consumers. From this analysis a computational domain is obtained and appropriately meshed. After the pivotal choice of the proper turbulence model and boundary conditions, various runs at different rotating speeds corresponding to the different operating ranges will be performed. The result will be contextualized by commenting on the fluid dynamics phenomena involved and the influence parameters on flow rate distribution, finally evaluating the performances of the lubrication circuit, and in particular highlighting the most critical conditions in terms of speed condition and locating the most critical gearbox parts.
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2

Winter, S. L., C. G. Bailey und D. D. Apsley. „Computational Fluid Dynamics Modelling of Compartment Fires“. In Turbulence, Heat and Mass Transfer 5. Proceedings of the International Symposium on Turbulence, Heat and Mass Transfer. New York: Begellhouse, 2006. http://dx.doi.org/10.1615/ichmt.2006.turbulheatmasstransf.1310.

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3

Roccon, Alessio, Francesca Mangani Mangani, Francesco Zonta und Alfredo Soldati. „Poster: Heat Transfer in drop-laden turbulence“. In 76th Annual Meeting of the APS Division of Fluid Dynamics. American Physical Society, 2023. http://dx.doi.org/10.1103/aps.dfd.2023.gfm.p0003.

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4

POLLET, M., und C. MONNAIE. „A high Reynolds model for turbulence and heat transfer in propulsiveflows“. In 23rd Fluid Dynamics, Plasmadynamics, and Lasers Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-2901.

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5

KUMAR, GANESH, DWAINE GRIFFITH, II, MAURICE PRENDERGAST und C. SEAFORD. „Comparison of liquid rocket engine base region heat flux computations using three turbulence models“. In 23rd Fluid Dynamics, Plasmadynamics, and Lasers Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-3033.

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6

Bhaskaran, Rathakrishnan, und Sanjiva Lele. „Heat Transfer Prediction in High Pressure Turbine Cascade with Free-Stream Turbulence using LES“. In 41st AIAA Fluid Dynamics Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-3266.

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7

Sadowski, Wojciech, Federico Lo Presti und Francesca di Mare. „Assessment of hybrid turbulence models for the simulation of ribbed channel with heat transfer“. In European Conference on Turbomachinery Fluid Dynamics and Thermodynamics. European Turbomachinery Society, 2023. http://dx.doi.org/10.29008/etc2023-312.

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8

Rothbauer, R. J., Raimund A. Almbauer, S. P. Schmidt, R. Margelik und K. Glinsner. „Effect of Energy Conversion, Turbulence and Fluid Dynamics on the Transient Heat Transfer and thus on the Scavenging of the Two Stroke Engine“. In Turbulence, Heat and Mass Transfer 5. Proceedings of the International Symposium on Turbulence, Heat and Mass Transfer. New York: Begellhouse, 2006. http://dx.doi.org/10.1615/ichmt.2006.turbulheatmasstransf.1720.

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9

Zaremba, M., M. Malý, M. Mlkvik, Jan Jedelsky und Miroslav Jicha. „Droplet dynamics in sprays generated by four different twin-fluid atomizers“. In THMT-15. Proceedings of the Eighth International Symposium On Turbulence Heat and Mass Transfer. Connecticut: Begellhouse, 2015. http://dx.doi.org/10.1615/ichmt.2015.thmt-15.1320.

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10

Eveloy, Vale´rie, Peter Rodgers und M. S. J. Hashmi. „An Experimental Assessment of Computational Fluid Dynamics Predictive Accuracy for Electronic Component Operational Temperature“. In ASME 2003 Heat Transfer Summer Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/ht2003-47282.

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The flow modeling approaches employed in Computational Fluid Dynamics (CFD) codes dedicated to the thermal analysis of electronic equipment are generally not specific for the analysis of forced airflows over populated Printed Circuit Boards. This limitation has been previously highlighted [1], with component junction temperature prediction errors of up to 35% reported. This study evaluates the predictive capability of candidate turbulence models more suited to the analysis of electronic component heat transfer. Significant improvements in component junction temperature prediction accuracy are obtained, relative to a standard high-Reynolds number k-e model, which are attributed to better prediction of both board leading edge heat transfer and component thermal interaction. Such improvements would enable parametric analysis of product thermal performance to be undertaken with greater confidence in the thermal design process, and the generation of more accurate temperature boundary conditions for use in Physics-of-Failure based reliability prediction methods. The case is made for vendors of CFD codes dedicated to the thermal analysis of electronics to consider the adoption of eddy viscosity turbulence models more suited to board-level analysis.
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