Relevant bibliographies by topics / Computational fluids dynamics (CFD)

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Computational fluids dynamics (CFD)'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 June 2025

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Journal articles on the topic "Computational fluids dynamics (CFD)"

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Douglass, R. W., and J. D. Ramshaw. "Perspective: Future Research Directions in Computational Fluid Dynamics." Journal of Fluids Engineering 116, no. 2 (1994): 212–15. http://dx.doi.org/10.1115/1.2910256.

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The current state of computational fluid dynamics (CFD) has yet to reach its full promise as a general tool for engineering design and simulation. Research in the areas of code robustness, complex flows of real fluids, and numerical errors and resolution are proposed as directions aiming toward that goal. We illustrate some of the current CFD challenges using selected applications.
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Ahn, Joon. "Special Issue on “Advances and Applications in Computational Fluid Dynamics”." Applied Sciences 14, no. 23 (2024): 11060. http://dx.doi.org/10.3390/app142311060.

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De Vanna, Francesco. "Industrial CFD and Fluid Modelling in Engineering." Fluids 10, no. 1 (2025): 15. https://doi.org/10.3390/fluids10010015.

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Fluids is proud to present the Special Issue “Industrial CFD and Fluid Modelling in Engineering”, a carefully curated collection of pioneering research that underscores the transformative role of Computational Fluid Dynamics (CFD) in addressing the challenges of industrial fluid mechanics [...]
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BULLOUGH, W. A., J. R. KINSELLA, D. J. PEEL, and U. S. URANG. "COMPUTATIONAL FLUID DYNAMICS MODELLING OF ELECTRO-STRUCTURED FLOWS." International Journal of Modern Physics B 15, no. 06n07 (2001): 731–44. http://dx.doi.org/10.1142/s0217979201005210.

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The use of computational fluid dynamics (CFD) software for modelling the flow of electro-structured fluids is introduced. A non-Newtonian fluids package written specifically to model Bingham plastics is validated for several flow rates between stationary parallel plates for varying yield stresses, plate separations and lengths. The computing procedure is rationalised in terms of grid fitting of the 'plug' edge. The programme is modified to include an analytical expression which relates delectro-rheological fluid parameters. This approach is then used to predict valve flow rates from small sample, Couette viscometer produced data: its output compares with experimental results.
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Schierholz, W. F., and N. Gilbert. "Computational Fluid Dynamics (CFD)." Chemie Ingenieur Technik 75, no. 10 (2003): 1412–14. http://dx.doi.org/10.1002/cite.200303306.

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Bibhab Kumar, Lodh. "The transformative role of Computational Fluid Dynamics (CFD) in chemical engineering." Open Journal of Chemistry 10, no. 1 (2024): 001–3. http://dx.doi.org/10.17352/ojc.000033.

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Chemical engineering is a discipline intrinsically linked to fluid behavior. From reaction kinetics to reactor design, understanding how fluids flow, mix, and transfer heat is paramount. Traditionally, this relied heavily on experimentation, a time-consuming and resource-intensive process. The emergence of Computational Fluid Dynamics (CFD) has revolutionized the field, offering a powerful in-silico approach to analyze fluid dynamics in chemical engineering processes. This review paper explores the transformative role of CFD, examining its impact on various aspects of chemical engineering, including reactor design, optimization, process intensification, scale-up, and safety analysis. The paper also discusses the challenges associated with CFD simulations, ongoing advancements in the field, and potential future directions.
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Mannan, Mohammed Abdul, and Dr Md Fakhruddin H. N. "Computational Fluid Dynamics in Coronary and Intra-Cardiac Flow Simulation." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (2022): 688–93. http://dx.doi.org/10.22214/ijraset.2022.45280.

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Abstract: Computational fluid dynamics (CFD) is a field of mechanical engineering for the analysis of fluid flows, heat transfer, and related phenomena, using computer simulations. CFD is a widely adopted methodology for solving complex problems in many areas of modern engineering. The merits of CFD are the development of new and improved equipment and system designs, and optimizations are performed on existing equipment through simulation, leading to increased efficiency and reduced costs. However, in the biomedical sector, CFD are still emerging. The main reason why CFD in the biomedical field lags behind is the enormous complexity in the workings of human body fluids. Recently, biomedical CFD research has become more accessible as high-performance hardware and software are readily available because of advances in computing. Every CFD process contains three main components that provide useful information, Pre-processing, formula resolution, and post-processing. Precise initial boundary conditions and geometric models are essential to obtain appropriate results. Medical imaging, like ultrasound imaging, computerized tomography, and resonance imaging can be used for modeling, and Doppler ultrasound, manometers, and noninvasive manometers are used for flow velocity and pressure as boundary conditions.
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Mallick, Sourav, and Masum Hossain. "Design and Analysis of Cooling Systems for Combustion Chambers in Turbine Engines: A Comparison of Oil and Gas Cooling Fluids." Asian Review of Mechanical Engineering 13, no. 2 (2024): 1–11. https://doi.org/10.70112/arme-2024.13.2.4249.

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This study focuses on the design and analysis of a cooling system for a combustion chamber in a turbine engine. The objective is to compare the cooling performance of oil and gas as cooling fluids using CAD modeling in CATIA and computational fluid dynamics (CFD) simulations in ANSYS Fluent. The design requirements, including cooling rate, pressure drop, temperature requirements, fluid properties, material compatibility, and environmental impact, were defined and incorporated into the CAD model. The CFD simulations were conducted to evaluate the temperature distribution and pressure dynamics within the combustor chamber. The results provided insights into the advantages and drawbacks of using oil and gas as cooling fluids, considering factors such as heat absorption, thermal conductivity, viscosity, pressure drop, and power consumption. Material compatibility and environmental considerations were also addressed. The findings offer a foundation for informed decision-making regarding the selection of the most suitable cooling fluid. However, real-world testing is recommended to validate the simulation results and ensure the chosen cooling fluid meets the design requirements effectively and efficiently. By combining computational simulation and physical testing, this study contributes to the design of efficient and durable cooling systems for gas turbine engines.
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Rossano, Viola, and Giuliano De Stefano. "Hybrid VOF–Lagrangian CFD Modeling of Droplet Aerobreakup." Applied Sciences 12, no. 16 (2022): 8302. http://dx.doi.org/10.3390/app12168302.

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A hybrid VOF–Lagrangian method for simulating the aerodynamic breakup of liquid droplets induced by a traveling shock wave is proposed and tested. The droplet deformation and fragmentation, together with the subsequent mist development, are predicted by using a fully three-dimensional computational fluid dynamics model following the unsteady Reynolds-averaged Navier–Stokes approach. The main characteristics of the aerobreakup process under the shear-induced entrainment regime are effectively reproduced by employing the scale-adaptive simulation method for unsteady turbulent flows. The hybrid two-phase method combines the volume-of-fluid technique for tracking the transient gas–liquid interface on the finite volume grid and the discrete phase model for following the dynamics of the smallest liquid fragments. The proposed computational approach for fluids engineering applications is demonstrated by making a comparison with reference experiments and high-fidelity numerical simulations, achieving acceptably accurate results without being computationally expensive.
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Journal, IJSREM. "Computational Fluid Dynamics (CFD) Analysis of the Shell and Tube Heat Exchanger by Use of Different NanoFluids." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (2024): 1–10. http://dx.doi.org/10.55041/ijsrem28378.

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Heat exchanger is a device used to transfer heat between one or more fluids. The fluids may be separated by a solid wall to prevent mixing or they may be in direct contact. These exchangers provide true counter-current flow and are especially suitable for extreme temperature crossing, high pressure, high temperature, and low to moderate surface area requirements different Nano partials mixed with base fluids is called Nano fluids and analysed for their performance of Nano fluids by use in the heat exchanger. The Nano fluids are Aluminium Oxide, Silicon Oxide and Titanium carbide.The volume concentration of the nanoparticle use in this study is 0.03% and mass flow rate 8 lpm,Nano fluid inlet temperature 333k and normal water fluid inlet temperature 300k. 3D model of the compact shell and tube heat exchanger is done in CATIA V5 and CFD analysis is done on the shell and tube heat exchanger by using ANSYS 15.0 fluent work bench. Compare three Nano fluids values for better Nano fluid choose one. Key Words: Catia, cfd, Nano fluids.
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Dissertations / Theses on the topic "Computational fluids dynamics (CFD)"

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Dodds, David Scott. "Computational fluid dynamics (CFD) modelling of dilute particulate flows." Swinburne Research Bank, 2008. http://hdl.handle.net/1959.3/44947.

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Thesis (PhD) - Swinburne University of Technology, Faculty of Engineering and Industrial Sciences, 2008.<br>A thesis submitted for the degree of Doctor of Philosophy, Faculty of Engineering and Industrial Sciences, Swinburne University of Technology, 2008. Typescript. Bibliography: p. 129-142. Includes bibliographical references (p. 259-274)
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Charmchi, Isar. "Computational Fluid Dynamics (CFD) Modeling of a Continuous Crystallizer." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Crystallization is one of the most important separation and purification processes in chemical and especially in pharmaceutical industries. Currently most crystallization processes in the industry are based on batch crystallization; however, due to the variation of product quality per batch, efforts are made to move to continuous processes instead. In this respect, micro and meso scale reactors represents a promising technology due to enhanced heat and mass transfer rates, which, translated to particle generation, provide control of size, morphology, and composition. In this study, a meso-scale continuous crystallizer has been characterized and optimized. A stirred tubular continuous-crystallizer has been characterized and optimized in which the crystallization of active pharmaceutical ingredients (APIs) can be performed under controlled conditions. The crystallizer is formed by two tubes, one for nucleation and the other one for growth, in order to separate different phenomena to control better the process and hence the crystal size distribution. The optimized nucleation tube has a length of 35 cm and a diameter of 3 cm with a long axial blade across the tube with the length of 30 cm and 2.5 cm of diameter. The phenomena of mixing helps to achieve homogeneous supersaturation along the tube to prevent growth during the nucleation and enables narrow residence time distribution of the crystals in the tube with the help of gravity to achieve narrower crystal size distribution. Computational fluid dynamics (CFD) is used to optimize the process. CFD is the application of numerical methods to solve systems of partial differential equations related to fluid dynamics. The continuity and the momentum equations are the most commonly applied equations within CFD, and together they can be used to calculate the velocity and pressure distributions in a fluid.
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Kaggerud, Torbjørn Herder. "Modeling an EDC Cracker using Computational Fluid Dynamics (CFD)." Thesis, Norwegian University of Science and Technology, Department of Energy and Process Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9536.

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<p>The process used by the Norwegian company Hydro for making Vinyl Chloride Monomer (VCM) from natural gas and sodium chloride has been studied. A three dimensional CFD model representing the firebox of the EDC cracker has been developed using the commercial CFD tool Fluent. Heat to the cracker is delivered by means of combustion of a fuel gas consisting of methane and hydrogen. In the developed CFD model used in this work, the combustion reaction itself is omitted, and heat is delivered by hot flue gas. With the combustion reaction left out, the only means of tuning the CFD model is through the flue gas inlet temperature. With the flue gas inlet temperature near the adiabatic flame temperature, the general temperature level of the EDC cracker was reported to be too high. The outer surface temperature of the coil was reported to be 3-400 K higher than what was expected. By increasing the mass flow of flue gas and decreasing the temperature, the net delivered heat to the firebox was maintained at the same level as the first case, but the temperature on the coil was reduced by 100-150 K. Further reductions in the flue gas inlet temperature and modifications in the mass flow of flue gas at the different burner rows, eventually gave temperature distributions along the reaction coil, and flue gas and refractory temperatures, that resemble those in the actual cracker. The one-dimensional reactor model for the cracking reaction represents the actual cracker in a satsifactorily manner. The cracking reaction was simulated using a simple, global reaction mechanism, thus only the main components of the process fluid, EDC, VCM and HCl, can be studied. The model is written in a way suitable for implementation of more detailed chemical reaction mechanisms. The largest deviation in temperature between measured and simulated data are about 5%. At the outlet the temperature of the process fluid is equal to the measured data. The conversion of EDC out of the firebox is assumed to be 50 wt-%, this value is met exactly by the model.</p>
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Al-Far, Salam H. "Indirect fired oven simulation using computational fluid dynamics (CFD)." Thesis, London South Bank University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.618655.

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Kleemann, Andreas Peter. "CFD simulation of advanced diesel engines." Thesis, Imperial College London, 2001. http://hdl.handle.net/10044/1/62159.

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This study uses CFD methodology to simulate an advanced Diesel engine operated at higher than conventional peak cylinder pressures. The existing mathematical models for Diesel combustion, pollutant formation and wall heat transfer are improved and validated for this operating range. The fluid flow is described via the gas-phase Favre-averaged transport equations, governing the conservation of mass, chemical species, momentum and energy, based on the Eulerian continuum framework. These equations are closed by means of the k — e turbulence model. The liquid phase uses the Lagrangian approach, in which parcels, representing a class of droplets, are described by differential equations for the conservation of mass, momentum and energy. The numerical solution of the gas phase is obtained by the finite volume method applied to unstructured meshes with moving boundaries. Diesel ignition is modeled via a reduced kinetics mechanism, coupled with a characteristic timescale combustion model. Additionally, NOx and soot emissions are simulated. For the elevated cylinder temperatures and pressures, the behaviour of the thermophysical properties of the gases and liquids involved is critically examined. A near-wall treatment is applied accounting for the large gradients of thermophysical properties in the vicinity of the wall. Furthermore an alternative combined combustion and emissions modelling approach, RIF, based on the laminar flamelet concept is tested. The methodology is validated by reference to experimental data from a research engine, a constant volume pressure chamber and a high-pressure DI Diesel engine at various operating conditions. The modified near-wall treatment gives better agreement with the heat transfer measurements. The methodology predicts Diesel combustion evolution reasonably well for the elevated pressures. Best agreement was achieved using the LATCT combustion model combined with a NOx and soot model. The predictions of emissions show encouraging trends especially regarding the soot/NOx tradeoff, but require tuning of model coefficients.
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Chambers, Steven B. "Investigation of combustive flows and dynamic meshing in computational fluid dynamics." Thesis, Texas A&M University, 2004. http://hdl.handle.net/1969.1/1324.

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Computational Fluid Dynamics (CFD) is a field that is constantly advancing. Its advances in terms of capabilities are a result of new theories, faster computers, and new numerical methods. In this thesis, advances in the computational fluid dynamic modeling of moving bodies and combustive flows are investigated. Thus, the basic theory behind CFD is being extended to solve a new class of problems that are generally more complex. The first chapter that investigates some of the results, chapter IV, discusses a technique developed to model unsteady aerodynamics with moving boundaries such as flapping winged flight. This will include mesh deformation and fluid dynamics theory needed to solve such a complex system. Chapter V will examine the numerical modeling of a combustive flow. A three dimensional single vane burner combustion chamber is numerically modeled. Species balance equations along with rates of reactions are introduced when modeling combustive flows and these expressions are discussed. A reaction mechanism is validated for use with in situ reheat simulations. Chapter VI compares numerical results with a laminar methane flame experiment to further investigate the capabilities of CFD to simulate a combustive flow. A new method of examining a combustive flow is introduced by looking at the solutions ability to satisfy the second law of thermodynamics. All laminar flame simulations are found to be in violation of the entropy inequality.
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Demir, H. Ozgur. "Computational Fluid Dynamics Analysis Of Store Separation." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605294/index.pdf.

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In this thesis, store separation from two different configurations are solved using computational methods. Two different commercially available CFD codes<br>CFD-FASTRAN, an implicit Euler solver, and an unsteady panel method solver USAERO, coupled with integral boundary layer solution procedure are used for the present computations. The computational trajectory results are validated against the available experimental data of a generic wing-pylon-store configuration at Mach 0.95. Major trends of the separation are captured. Same configuration is used for the comparison of unsteady panel method with Euler solution at Mach 0.3 and 0.6. Major trends are similar to each other while some differences in lateral and longitudinal displacements are observed. Trajectories of a fueltank separated from an F-16 fighter aircraft wing and full aircraft configurations are found at Mach 0.3 using only the unsteady panel code. The results indicate that the effect of fuselage is to decrease the drag and to increase the side forces acting on the separating fueltank from the aircraft. It is also observed that the yawing and rolling directions of the separating fueltank are reversed when it is separated from the full aircraft configuration when compared to the separation from the wing alone configuration.
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Murad, Nurul Muiz. "Computational fluid dynamics (CFD) of vehicle aerodynamics and associated acoustics." Swinburne Research Bank, 2009. http://hdl.handle.net/1959.3/47824.

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Thesis (PhD) - Swinburne University of Technology, School of Engineering and Science, 2009.<br>A thesis submitted in accordance with the regulations for the degree of Doctor of Philosophy, School of Engineering and Science, Swinburne University of Technology, 2009. Typescript. Includes bibliographical references (p. 315-330)
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Chou, Ching Ju. "The Application of Computational Fluid Dynamics to Comfort Modelling." Thesis, The University of Sydney, 2016. http://hdl.handle.net/2123/16686.

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This thesis studies thermal comfort in heating, ventilation and air-conditioning (HVAC) scenarios with computational fluid dynamics (CFD) models at domain and occupant levels. Domain level comfort modelling, where the details of the occupant are not modelled, is investigated utilising Fanger’s Predicted Mean Vote (PMV) and Predicted Percentage of Dissatisfied (PPD) comfort models. Occupant level comfort modelling, where the occupant geometry and skin temperature are required, is explored using two different models. The first model termed the thermal manikin model couples the University of California Berkeley (UCB) psychological model to a new physiological model which neglects the thermal regulation of the human body, and consists of a central core at constant temperature surrounded by a layer with thickness and corresponding thermal properties to allow the skin temperature to vary over the modelled human body. The second model based on Gagge’s two-node model, which includes thermal regulation, yet assumes the skin temperature of the occupant to be spatially uniform. The models are validated with the experimental results from the Technical University of Denmark, which provides the data of the air flow, and the Indoor Environmental Quality (IEQ) laboratory at the University of Sydney, which offered the actual votes of human subjects for a range of environmental conditions. To conclude, the prediction of the skin temperature and its spatial variation is the most important parameter to predict occupant comfort correctly. The occupant level comfort modelling approach employing the thermal manikin is found to be the superior method to evaluate thermal comfort as it can still be accurate when the environment is complex. However, the computational cost and model setup time is high. Further work employing multi-node thermal manikin models would be a fruitful area of research if the accuracy of occupant comfort prediction in complex thermal environments is of interest.
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Shaw, Michael James. "An assessment of CFD for transonic fan stability studies." Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.709038.

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Books on the topic "Computational fluids dynamics (CFD)"

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Wilcox, David C. Turbulence modeling for CFD. DCW Industries, Inc., 1993.

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Wilcox, David C. Turbulence modeling for CFD. 2nd ed. DCW Industries, 1998.

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Wilcox, David C. Turbulence modeling for CFD. DCW Industries, 1994.

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Peraire, Jaime. Unstructured mesh methods for CFD. Imperial College of Science, Technology and Medicine. Dept. of Aeronautics, 1990.

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North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Turbomachinery design using CFD. AGARD, 1994.

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North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. CFD techniques for propulsion applications. AGARD, 1992.

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CFD 94 (1994 Toronto, Ont.). Proceedings, CFD 94: Second Annual Conference of the CFD Society of Canada : Toronto, Ontario, June 1-3, 1994. Edited by Gottlieb J. J and Ethier Christopher Ross 1959-. CFD Society of Canada, 1994.

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World, Conference in Applied Computational Fluid Dynamics (2nd 1994 Basel Switzerland). Basel world CFD user days 1994: Conference proceedings. International Hightech-Forum Basel, 1994.

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Fluids, Engineering Conference (1993 Washington D. C. ). CFD algorithms and applications for parallel processors: Presented at the Fluids Engineering Conference, Washington, D.C., June 20-24, 1993. ASME, United Engineering Center, 1993.

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Development, North Atlantic Treaty Organization Advisory Group for Aerospace Research and. Special course on parallel computing in CFD. AGARD, 1995.

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Book chapters on the topic "Computational fluids dynamics (CFD)"

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Schwarze, Rüdiger. "Computational Fluid Dynamics." In CFD-Modellierung. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24378-3_1.

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Wagner, S. "Computational Fluid Dynamics (CFD)." In High Performance Computing in Science and Engineering ’99. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59686-5_20.

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Anderson, J. D. "Basic Philosophy of CFD." In Computational Fluid Dynamics. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-85056-4_1.

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Anderson, J. D. "Basic Philosophy of CFD." In Computational Fluid Dynamics. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-662-11350-9_1.

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Pender, G., H. P. Morvan, N. G. Wright, and D. A. Ervine. "CFD for Environmental Design and Management." In Computational Fluid Dynamics. John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470015195.ch18.

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Wu, Zi-Niu, and Jing Shi. "Coordinate Transformation for CFD." In Computational Fluid Dynamics 2002. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-59334-5_23.

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Leclerc, M. "Ecohydraulics: A New Interdisciplinary Frontier for CFD." In Computational Fluid Dynamics. John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470015195.ch16.

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Nakahashi, Kazuhiro. "Progress in Unstructured-Grid CFD." In Computational Fluid Dynamics 2000. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56535-9_1.

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Ingham, D. B., and L. Ma. "Fundamental Equations for CFD in River Flow Simulations." In Computational Fluid Dynamics. John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470015195.ch2.

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Nicholas, A. P. "Roughness Parameterization in CFD Modelling of Gravel-Bed Rivers." In Computational Fluid Dynamics. John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470015195.ch13.

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Conference papers on the topic "Computational fluids dynamics (CFD)"

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LaRoche, Richard D., and Barbara J. Hutchings. "FlowLab: Computational Fluid Dynamics (CFD) Framework for Undergraduate Education." In ASME 2002 Joint U.S.-European Fluids Engineering Division Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/fedsm2002-31381.

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Today, the use of Computational Fluid Dynamics (CFD) software in academia occurs primarily in the context of student projects or research. The potential of CFD as a tool to enhance teaching is largely untapped, despite growing interest in computer tools to assist learning. FlowLab (http://flowlab.fluent.com) is a CFD-based educational software package that will allow students to solve fluid dynamics problems without the long learning curve required by today’s commercial CFD packages. We will provide an update of the FlowLab beta-testing program with over 30 universities worldwide. We outline a process for university collaboration and peer-review procedures in the development of FlowLab exercises for engineering classes in fluid dynamics and heat transfer.
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Shiva Prasad, B. G. "Benchmarking in CFD." In ASME 2004 Heat Transfer/Fluids Engineering Summer Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ht-fed2004-56746.

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CFD use is spreading fast to all industrial and non-industrial sectors. The progress in the science of Computational fluid Dynamics is not keeping pace with its own technological progress, particularly with reference to applications. Mathematical modeling of fluid flows in most cases is an art which depends on intuition. To gain more credibility in the complex computations of flows in modern machinery, it is not just sufficient to debate about validation, but is becoming increasingly necessary to at least start debating about establishing standards for development, distribution and use of CFD codes. Otherwise, not only the nickname of Colorful Fluid Dynamics might become more permanent, but the rate of growth of the technology of Computational Fluid Dynamics and the development of it’s underlying science might be hampered. This paper discusses the problems in application of CFD for industrial flows and suggests possible solutions and the need for unified action by the CFD community including the concept of ‘Global Benchmarking’.
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Satti, Rajani, Narasimha Rao Pillalamarri, and Eckard Scholz. "Computational Fluid Dynamics (CFD) Analysis of a Single-Stage Downhole Turbine." In ASME 2013 Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/fedsm2013-16258.

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In this study, the application of computational fluid dynamics (CFD) is explored to predict the performance characteristics in a typical single-stage downhole turbine. The single-stage turbine model utilized for this study consists of a stator and a rotor. A finite-volume based CFD approach was implemented to simulate the complex flow field around the turbine. The analysis is based on transient, three-dimensional, isothermal turbulent flow in an incompressible fluid system. The inlet flow rates and angular velocity of the rotor were varied to encompass the operating regime. Comparison with experimental data revealed excellent agreement, proving reliability of the model in predicting the performance characteristics. Motivated by the successful model validation, a parametric study (considering blade tip clearance and blade count) was also conducted to understand the effects of the design parameters on the performance of the turbine. Detailed flow visualizations and efficiency calculations were also done to provide further insight into the overall performance of the turbine. As part of the present study, significant efforts were also spent in the following areas: standardization of CFD methodology and assessment of commercial software to develop an integrated CFD-driven design process.
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Chrisochoides, N., G. Fox, and T. Haupt. "A computational toolkit for colliding black holes and CFD." In Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-2249.

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Nedyalkov, Ivaylo. "Open-Source Computational Fluid Dynamics in Engineering Education." In ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/ajkfluids2019-5475.

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Abstract Computational Fluid Dynamics (CFD) is widely used in industry but is not discussed sufficiently in undergraduate engineering education. In some cases, CFD is studied only from a mathematical perspective, focusing on computational partial differential equations, and in some cases it is introduced as a black-box tool. A hybrid CFD class was developed for undergraduate and graduate students at the University of New Hampshire, which combines the two approaches. The students are exposed to the mathematics and physics behind CFD, and they also utilize OpenFOAM — an open source CFD package — to work on practical problems. Since the code is open-source, the students are able to see and modify it. Although OpenFOAM is challenging due to the minimum graphical user interface, the code-base environment forces the students to learn what the code is doing. Sample assignments and project submissions from the students are presented in the paper.
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SHANKAR, VIJAYA, WILLIAM HALL, and ALIREZA MOHAMMADIAN. "A CFD-based finite-volume procedure for computational electromagnetics - Interdisciplinary applications of CFD methods." In 9th Computational Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-1987.

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Thompson, Peter M., Trevor T. Robinson, and C. Armstrong. "Efficient CAD-based Aerodynamic Design Optimization with Adjoint CFD Data." In 21st AIAA Computational Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-2847.

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Peri, Shrinivas, and Brian M. Rogers. "Computational Fluid Dynamics (CFD) Erosion Study." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2007. http://dx.doi.org/10.2118/110463-ms.

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Karahalios, G. T., V. C. Loukopoulos, George Maroulis, and Theodore E. Simos. "Symposium on Computational Fluid Dynamics (CFD)." In COMPUTATIONAL METHODS IN SCIENCE AND ENGINEERING: Advances in Computational Science: Lectures presented at the International Conference on Computational Methods in Sciences and Engineering 2008 (ICCMSE 2008). AIP, 2009. http://dx.doi.org/10.1063/1.3225371.

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Lee, H. B., and R. C. Bauer. "Predictive Computational Fluid Dynamics Development and its Verification and Validation: An Overview." In ASME 2009 Fluids Engineering Division Summer Meeting. ASMEDC, 2009. http://dx.doi.org/10.1115/fedsm2009-78147.

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A major focus for the development of computational fluid dynamics (CFD) technology is the attainment of an acceptable level of credibility of CFD analysis and simulations for the range of fluid flows of interest. Toward this end, a systematic program for CFD verification and validation (V&amp;V) is being developed and implemented to enable Predictive-CFD (P-CFD) capability for use in the industrial design process. This paper provides an overview of a practical approach for CFD V&amp;V that can support the initial use of CFD in the industrial design process and lays the foundation for providing a true predictive capability for CFD in the future. The approach emphasizes a bottom up view of CFD validation. In particular, validation assessments of fundamental, unit and separate-effects physics, flow configurations are performed to develop the large body of knowledge required to implement knowledge-based tools and procedures, e.g., best practices and design guidelines, for managing uncertainty and improving reliability of CFD analysis and simulations. In this approach, the flow field data obtained from validation experiments require a higher level of fidelity, resolution and documentation, including a complete and thorough description of the boundary and initial conditions driving the flows, the as-built geometry of the validation experiment and an appropriate uncertainty analysis of the experimental data. Datasets which meet these standards are termed validation-level datasets. It is expected that over time, the amount of validation-level data in the CFD V&amp;V archives and the knowledge gained from CFD V&amp;V assessments will be sufficient to assure the accuracy of the associated CFD predictions over a wide range of applications with a minimal amount of additional, confirmatory physical testing. In time, automated and standardized P-CFD methodology with associated best practices, design guidelines, and uncertainty quantification methods will provide a predictive capability in which sufficient confidence can be placed in CFD predictions that CFD analysis can replace large, semi-scale physical testing and allow for designs to be developed using CFD up front in the design process.
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Reports on the topic "Computational fluids dynamics (CFD)"

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Behr, Marek, Daniel M. Pressel, Walter B. Sturek, and Sr. Comments on Computational Fluid Dynamics (CFD) Code Performance on Scalable Architectures. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada409739.

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Strons, P., J. Bailey, A. Frigo, and ( NE). Computational Fluid Dynamics (CFD) Analyses of a Glovebox under Glove Loss Conditions. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1160209.

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Apostolatos, A., R. Rossi, and C. Soriano. D7.2 Finalization of "deterministic" verification and validation tests. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.006.

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This deliverable focus on the verification and validation of the solvers of Kratos Multiphysics which are used within ExaQUte. These solvers comprise standard body-fitted approaches and novel embedded approaches for the Computational Fluid Dynamics (CFD) simulations carried out within ExaQUte. Firstly, the standard body-fitted CFD solver is validated on a benchmark problem of high rise building - CAARC benchmark and subsequently the novel embedded CFD solver is verified against the solution of the body-fitted solver. Especially for the novel embedded approach, a workflow is presented on which the exact parameterized Computer-Aided Design (CAD) model is used in an efficient manner for the underlying CFD simulations. It includes: A note on the space-time methods Verification results for the body-fitted solver based on the CAARC benchmark Workflow consisting of importing an exact CAD model, tessellating it and performing embedded CFD on it Verification results for the embedded solver based on a high-rise building API definition and usage
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Hawley, Owston, and Thorson. PR-015-13610-R01 Effect of Upstream Piping Configuration on Ultrasonic Meter Bias - Flow Validation. Pipeline Research Council International, Inc. (PRCI), 2014. http://dx.doi.org/10.55274/r0010033.

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This research demonstrated the ability of a Computational Fluid Dynamics (CFD) modeling approach to predict the severity of velocity profile disturbances in two different header configurations with AGA-9 default meter runs. The CFD model was also used to predict the flow measurement error based on the ultrasonic path geometry from four commercially-available ultrasonic flow meters. In addition to the CFD modeling, this project experimentally tested the same two header configurations in a natural gas flow loop. The results from the experimental testing were used to validate the CFD model.
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Meidani, Hadi, and Amir Kazemi. Data-Driven Computational Fluid Dynamics Model for Predicting Drag Forces on Truck Platoons. Illinois Center for Transportation, 2021. http://dx.doi.org/10.36501/0197-9191/21-036.

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Fuel-consumption reduction in the truck industry is significantly beneficial to both energy economy and the environment. Although estimation of drag forces is required to quantify fuel consumption of trucks, computational fluid dynamics (CFD) to meet this need is expensive. Data-driven surrogate models are developed to mitigate this concern and are promising for capturing the dynamics of large systems such as truck platoons. In this work, we aim to develop a surrogate-based fluid dynamics model that can be used to optimize the configuration of trucks in a robust way, considering various uncertainties such as random truck geometries, variable truck speed, random wind direction, and wind magnitude. Once trained, such a surrogate-based model can be readily employed for platoon-routing problems or the study of pavement performance.
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Heavy, Karen R., Jubaraj Sahu, and Stephen A. Wilkerson. A Multidisciplinary Coupled Computational Fluid Dynamics (CFD) and Structural Dynamics (SD) Analysis of a 2.75-in Rocket Launcher. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada402247.

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Nickolaus, D. Computational Fluid Dynamics (CFD) Analysis and Development of Halon-Replacement Fire Extinguishing Systems (Phase 2). Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada585794.

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Hawley, Adam, Mustexist Gutierrez, and John McCleney. PR-015-19605-R01 Effect of Upstream Piping on Ultrasonic Meter Bias - End Treatment Effects. Pipeline Research Council International, Inc., 2023. http://dx.doi.org/10.55274/r009999.

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This project evaluated current end treatment designs that are used in the natural gas industry and used Computational Fluid Dynamics (CFD) to determine the end treatment with the best flow characteristics when installed upstream from an ultrasonic flow meter. The project team optimized the end treatment design and additional CFD and experimental testing was conducted. The experimental results of the developed end treatment were shown to provide results within ±0.25% relative to the baseline configuration with various inlet conditions and numbers of ultrasonic paths.
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Hawley, Adam, Luis Gutierrez, and Amy McCleney. PR-015-19605-R01 Effect of Upstream Piping on Ultrasonic Meter Bias - End Treatment Effects. Pipeline Research Council International, Inc. (PRCI), 2023. http://dx.doi.org/10.55274/r0012256.

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This project evaluated current end treatment designs that are used in the natural gas industry and used Computational Fluid Dynamics (CFD) to determine the end treatment with the best flow characteristics when installed upstream from an ultrasonic flow meter. The project team optimized the end treatment design and additional CFD and experimental testing was conducted. The experimental results of the developed end treatment were shown to provide results within �0.25% relative to the baseline configuration with various inlet conditions and numbers of ultrasonic paths.
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ตัณฑะพานิชกุล, วิวัฒน์. การพัฒนาระบบระบายอากาศชนิดไหลในแนวดิ่ง และการศึกษาประสิทธิภาพของไซโคลนสครับเบอร์ สำหรับโรงงานผลิตแผ่นกระดานโต้คลื่น : รายงานฉบับสมบูรณ์. จุฬาลงกรณ์มหาวิทยาลัย, 2004. https://doi.org/10.58837/chula.res.2004.54.

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ศึกษาระบบระบายอากาศชนิดไหลในแนวดิ่งอย่างสม่ำเสมอ และประสิทธิภาพของไซโคลนสครับเบอร์สำหรับโรงงานอุตสาหกรรม โดยออกแบบและจัดสร้างชุดอุปกรณ์การทดสอบ ศึกษาถึงตัวแปรกระบวนการที่มีอิทธิพลต่อการระบายอากาศ ได้แก่ ความเร็วลมเฉลี่ยในแนวดิ่ง ความเร็วลมที่เป่ารบกวนกระแสอากาศภายในห้อง สัดส่วนพื้นที่เปิดของตระแกรง และความสูงของผนังห้อง ศึกษาเบื้องต้นของพฤติกรรมการไหลของอากาศของระบบระบายอากาศชนิดนี้ในลักษณะ 3 มิติ โดยใช้เทคนิค Computational fluid dynamics (CFD) นอกจากนี้ศึกษาถึงตัวแปรกระบวนการที่มีอิทธิพลต่อไซโคลนสครับเบอร์ ได้แก่ ความเร็วลมขาเข้าไซโคลนสครับเบอร์ ความเข้มข้นฝุ่นขาเข้าไซโคลนสครับเบอร์ และอัตรการฉีดน้ำในไซโคลนสครับเบอร์ ในส่วนของระบบระบายอากาศชนิดนี้ศึกษาอิทธิพลความเร็วลมในแนวดิ่ง กรณีพิจารณาความเข้มข้นรวมของอนุภาคทุกขนาดพบว่า เมื่อความเร็วลมในแนวดิ่งเพิ่มขึ้น ประสิทธิภาพการระบายอากาศจะมีแนวโน้มเพิ่มขึ้น ส่วนกรณีพิจารณาความเข้มข้นของอนุภาคแต่ละช่วงพบว่า เมื่อความเร็วลมในแนวดิ่งเพิ่มขึ้น ความเข้มข้นของอนุภาคใหญ่กว่า 1 ไมโครเมตรที่หนีออกจากด้านบนของห้องจะมีแนวโน้มลดลง แต่ความเข้มข้นของอนุภาคขนาดเล็กกว่า 1 ไมโครเมตรมีค่าลดลงที่ความเร็วลมในแนวดิ่ง 0.3 เมตรต่อวินาทีแต่กลับเพิ่มขึ้นที่ความเร็วลมในแนวดิ่ง 0.5 เมตรต่อวินาที สำหรับอิทธิพลของความเร็วลมที่เป่ารบกวนกระแสอากาศภายในห้อง กรณีพิจารณาความเข้มข้นรวมของอนุภาคทุกขนาดพบว่า เมื่อความเร็วลมที่เป่ารบกวนกระแสอากาศภายในห้องเพิ่มขึ้น ประสิทธิภาพการระบายอากาศจะมีแนวโน้มลดลง ส่วนกรณีพิจารณาความเข้มข้นของอนุภาคแต่ละช่วง พบว่า เมื่อความเร็วลมที่เป่ารบกวนกระแสอากาศภายในห้องเพิ่มขึ้น ความเข้มข้นของอนุภาคทั้งขนาดใหญ่และเล็กที่หนีออกจากด้านบนของห้องจะมีแนวโน้มเพิ่มขึ้น สำหรับการศึกษาอิทธิพลของสัดส่วนพื้นที่เปิดของพื้นตะแกรงโดยที่ความเร็วลมในแนวดิ่งคงที่นั้น พบว่าเมื่อสัดส่วนพื้นที่ของตะแกรงลดลง ประสิทธิภาพการระบายอากาศจะลดลง อนึ่งในการจำลองการไหลของอากาศของระบบระบายอากาศ ในกรณีความเร็วขาเข้าของอากาศเท่ากับ 0.1 0.33 และ 0.48 เมตรต่อวินาที ซึ่งภายในห้องมีสิ่งกีดขวางตั้งอยู่บริเวณตรงกลางห้อง พบว่าการกระจายตัวความเร็วของอากาศที่เคลื่อนที่ภายในห้อง ได้รับผลกระทบอย่างมีนัยสำคัญ แต่มีแนวโน้มเป็นไปในลักษณะเดียวกันกับผลการวัดจริงในเงื่อนไขเดียวกัน
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