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1
Pradeep, Shetty* Trupti P.Wani. "COMPUTATIONAL FLUID DYNAMICS SIMULATION OF PROPELLER FAN." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 10 (2016): 560–66. https://doi.org/10.5281/zenodo.160899.
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Cooling appliances growing demand to cool the ambience with high efficiency requires robust condenser unit. The objective of this work is to predict and correlate the mass flow rate of propeller type axial fan used in condenser unit using Computational Fluid Dynamics (CFD) technique. The flow field is simulated with the finite element Computational Fluid Dynamics CFD solver Altair HyperWorks. The three-dimensional computational domain with Spalart-Allmaras turbulence model is considered to predict the mass flow rate. The present computation is carried out for the axial fan speed of 820 rpm for the steady state condition using moving reference frame approach. The flow rate is correlated with the test results to validate the CFD modeling approach. The correlation level found closer with tested results, hence which will help to improve the futuristic model during conceptual design itself.
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van Driel, Michael R. "Cardioplegia heat exchanger design modelling using computational fluid dynamics." Perfusion 15, no. 6 (2000): 541–48. http://dx.doi.org/10.1177/026765910001500611.
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A new cardioplegia heat exchanger has been developed by Sorin Biomedica. A three-dimensional computer-aided design (CAD) model was optimized using computational fluid dynamics (CFD) modelling. CFD optimization techniques have commonly been applied to velocity flow field analysis, but CFD analysis was also used in this study to predict the heat exchange performance of the design before prototype fabrication. The iterative results of the optimization and the actual heat exchange performance of the final configuration are presented in this paper. Based on the behaviour of this model, both the water and blood fluid flow paths of the heat exchanger were optimized. The simulation predicted superior heat exchange performance using an optimal amount of energy exchange surface area, reducing the total contact surface area, the device priming volume and the material costs. Experimental results confirm the empirical results predicted by the CFD analysis.
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Bao, Henry. "Airfoil design with computational fluid dynamics." Theoretical and Natural Science 11, no. 1 (2023): 7–17. http://dx.doi.org/10.54254/2753-8818/11/20230368.
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In many industries, there is a need to model the flow of air over structural components. With sufficient information from these models, engineers can better implement these parts into a complete design. The purpose of this paper is to provide a model of specific airfoils using computational fluid dynamics (CFD). With computational fluid dynamics, the characteristics of air around an airfoil can be modeled, providing useful data to engineers who could be designing an airfoil or airplane. The CFD calculations are performed using Python, along with the two packages Numpy and Matplotlib. The governing equations of CFD, including Newton's Second Law, small disturbance equation (SDE), wave propagation, etc. are discretized and transformed into partial differentiation equations (PDE). Using the second order derivative of the wave propagation PDE, the SDE can be solved in iterations and plotted on a graph showing the velocity distributions for a particular airfoil. The results from the CFD calculations show general trends in velocity distributions, regardless of airfoil shape. These include a decrease in x-direction velocity at the ends of an airfoil with an increase at the midsection of the airfoil. Also, y-direction velocity is generally positive and increasing at the front of the airfoil, but negative and decreasing at the end of the airfoil. What is important to understand is how different airfoil shapes can change velocity distributions, moving to using 3D CFD calculations, and the possibility of using CFD for modeling airflow over a multitude of objects.[ Henry Bao, the first author, participated in the Illinois junior academy of science state fair, and abstracts of the regional winners' presentations were posted online. (ilacadofsci.com)]
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Chanel, Paul G., and John C. Doering. "Assessment of spillway modeling using computational fluid dynamics." Canadian Journal of Civil Engineering 35, no. 12 (2008): 1481–85. http://dx.doi.org/10.1139/l08-094.
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Throughout the design and planning period for future hydroelectric generating stations, hydraulic engineers are increasingly integrating computational fluid dynamics (CFD) into the process. As a result, hydraulic engineers are interested in the reliability of CFD software to provide accurate flow data for a wide range of structures, including a variety of different spillways. In the literature, CFD results have generally been in agreement with physical model experimental data. Despite past success, there has not been a comprehensive assessment that looks at the ability of CFD to model a range of different spillway configurations, including flows with various gate openings. In this article, Flow-3D is used to model the discharge over ogee-crested spillways. The numerical model results are compared with physical model studies for three case study evaluations. The comparison indicates that the accuracy of Flow-3D is related to the parameter P/Hd.
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Gonzales, Howell B., John Tatarko, Mark E. Casada, Ronaldo G. Maghirang, Lawrence J. Hagen, and Charles J. Barden. "Computational Fluid Dynamics Simulation of Airflow through Standing Vegetation." Transactions of the ASABE 62, no. 6 (2019): 1713–22. http://dx.doi.org/10.13031/trans.13449.
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Abstract. Maintaining vegetative cover on the soil surface is the most widely used method for control of soil loss by wind erosion. We numerically modeled airflow through artificial standing vegetation (i.e., simulated wheat plants) using computational fluid dynamics (CFD). A solver (simpleFoam within the OpenFOAM software architecture) was used to simulate airflow through various three-dimensional (3D) canopy structures in a wind tunnel, which were created using another open-source CAD geometry software (Salomé ver. 7.2). This study focused on two specific objectives: (1) model airflow through standing vegetation using CFD, and (2) compare the results of a previous wind tunnel study with various artificial vegetation configurations to the results of the CFD model. Wind speeds measured in the wind tunnel experiment differed slightly from the numerical simulation using CFD, especially near positions where simulated vegetation was present. Effective drag coefficients computed using wind profiles did not differ significantly (p <0.05) between the experimental and simulated results. Results of this study will provide information for research into other types of simulated stubble or sparse vegetation during wind erosion events.HighlightsMeasured airflow through a simulated canopy was successfully modeled using CFD software.Effective drag coefficients did not differ between the experimental and simulated results.Results of this study provide 3-D simulation data of wind flow through a plant canopy. Keywords: 3-D canopy structure, OpenFOAM, Wind erosion, Wind tunnel studies.
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Liu, Qiang, Wei Zhu, Feng Ma, Xiyu Jia, Yu Gao, and Jun Wen. "Graph attention network-based fluid simulation model." AIP Advances 12, no. 9 (2022): 095114. http://dx.doi.org/10.1063/5.0122165.
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Traditional computational fluid dynamics (CFD) techniques deduce the dynamic variations in flow fields by using finite elements or finite differences to solve partial differential equations. CFD usually involves several tens of thousands of grid nodes, which entail long computation times and significant computational resources. Fluid data are usually irregular data, and there will be turbulence in the flow field where the physical quantities between adjacent grid nodes are extremely nonequilibrium. We use a graph attention neural network to build a fluid simulation model (GAFM). GAFM assigns weights to adjacent node-pairs through a graph attention mechanism. In this way, it is not only possible to directly calculate the fluid data but also to adjust for nonequilibrium in vortices, especially turbulent flows. The GAFM deductively predicts the dynamic variations in flow fields by using spatiotemporally continuous sample data. A validation of the proposed GAFM against the two-dimensional (2D) flow around a cylinder confirms its high prediction accuracy. In addition, the GAFM achieves faster computation speeds than traditional CFD solvers by two to three orders of magnitude. The GAFM provides a new idea for the rapid optimization and design of fluid mechanics models and the real-time control of intelligent fluid mechanisms.
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Yeo, Hyeonsoo, Mark Potsdam, and Robert A. Ormiston. "Rotor Aeroelastic Stability Analysis Using Coupled Computational Fluid Dynamics/Computational Structural Dynamics." Journal of the American Helicopter Society 56, no. 4 (2011): 1–16. http://dx.doi.org/10.4050/jahs.56.042003.
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Computational fluid dynamics/computational structural dynamics (CFD/CSD) coupling was successfully applied to the rotor aeroelastic stability problem to calculate lead–lag regressing mode damping of a hingeless rotor in hover and forward flight. A direct time domain numerical integration of the equations in response to suitable excitation was solved using a tight CFD/CSD coupling. Two different excitation methods—swashplate cyclic pitch and blade tip lead–lag force excitations—were investigated to provide suitable blade transient responses. The free decay transient response time histories were postprocessed using the moving-block method to determine the damping as a function of the rotor operating conditions. Coupled CFD/CSD analysis results are compared with the experimentally measured stability data obtained for a 7.5-ft-diameter Mach-scale hingeless rotor model as well as stability predictions using the comprehensive analysis Rotorcraft Comprehensive Analysis System (RCAS). The coupled CFD/CSD predictions agreed more closely with the experimental lead–lag damping measurements than RCAS predictions based on conventional aerodynamic methods, better capturing key features in the damping trends.
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Wang, Rui Li, Xiao Liang, Wen Zhou Lin, Xue Zhe Liu, and Yun Long Yu. "Verification and Validation of a Detonation Computational Fluid Dynamics Model." Defect and Diffusion Forum 366 (April 2016): 40–46. http://dx.doi.org/10.4028/www.scientific.net/ddf.366.40.
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Verification and validation (V&V) are the primary means to assess the accuracy and reliability in computational fluid dynamics (CFD) simulation. V&V of the multi-medium detonation CFD model is conducted by using our independently-developed software --- Lagrangian adaptive hydrodynamics code in the 2D space (LAD2D) as well as a large number of benchmark testing models. Specifically, the verification of computational model is based on the basic theory of the computational scheme and mathematical physics equations, and validation of the physical model is accomplished by comparing the numerical solution with the experimental data. Finally, some suggestions are given about V&V of the detonation CFD model.
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Chew, J. W., and N. J. Hills. "Computational fluid dynamics and virtual aeroengine modelling." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 223, no. 12 (2009): 2821–34. http://dx.doi.org/10.1243/09544062jmes1597.
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Use of large-scale computational fluid dynamics (CFD) models in aeroengine design has grown rapidly in recent years as parallel computing hardware has become available. This has reached the point where research aimed at the development of CFD-based ‘virtual engine test cells’ is underway, with considerable debate of the subject within the industrial and research communities. The present article considers and illustrates the state-of-the art and prospects for advances in this field. Limitations to CFD model accuracy, the need for aero-thermo-mechanical analysis through an engine flight cycle, coupling of numerical solutions for solid and fluid domains, and timescales for capability development are considered. While the fidelity of large-scale CFD models will remain limited by turbulence modelling and other issues for the foreseeable future, it is clear that use of multi-scale, multi-physics modelling in engine design will expand considerably. Development of user-friendly, versatile, efficient programs and systems for use in a massively parallel computing environment is considered a key issue.
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Md., Saifur Rahman. "Computational Fluid Dynamics for Predicting and Controlling Fluid Flow in Industrial Equipment." European Journal of Advances in Engineering and Technology 11, no. 9 (2024): 1–9. https://doi.org/10.5281/zenodo.13788680.
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Computational Fluid Dynamics (CFD) has become a pivotal tool in predicting and controlling fluid flow within industrial equipment, offering significant advantages in optimizing performance and efficiency. This paper presents a comprehensive study of CFD applications in various industrial contexts, focusing on the modeling and analysis of fluid flow to enhance equipment design and operation. The study encompasses the development and implementation of CFD models to simulate complex flow dynamics in equipment such as pumps, turbines, heat exchangers, and reactors. Key aspects include the validation of CFD models against experimental data, the application of advanced turbulence models, and the integration of CFD results into design optimization processes. The paper highlights case studies where CFD has been instrumental in diagnosing performance issues, improving energy efficiency, and reducing operational costs. Additionally, it addresses challenges such as mesh generation, numerical accuracy, and the handling of multiphase flows. By providing insights into state-of-the-art CFD techniques and their practical implications, this study underscores the transformative impact of CFD on industrial equipment design and operational strategies, paving the way for more efficient and reliable industrial systems.
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Md., Saifur Rahman. "Computational Fluid Dynamics for Predicting and Controlling Fluid Flow in Industrial Equipment." European Journal of Advances in Engineering and Technology 11, no. 9 (2024): 1–9. https://doi.org/10.5281/zenodo.13837375.
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Computational Fluid Dynamics (CFD) has become a pivotal tool in predicting and controlling fluid flow within industrial equipment, offering significant advantages in optimizing performance and efficiency. This paper presents a comprehensive study of CFD applications in various industrial contexts, focusing on the modeling and analysis of fluid flow to enhance equipment design and operation. The study encompasses the development and implementation of CFD models to simulate complex flow dynamics in equipment such as pumps, turbines, heat exchangers, and reactors. Key aspects include the validation of CFD models against experimental data, the application of advanced turbulence models, and the integration of CFD results into design optimization processes. The paper highlights case studies where CFD has been instrumental in diagnosing performance issues, improving energy efficiency, and reducing operational costs. Additionally, it addresses challenges such as mesh generation, numerical accuracy, and the handling of multiphase flows. By providing insights into state-of-the-art CFD techniques and their practical implications, this study underscores the transformative impact of CFD on industrial equipment design and operational strategies, paving the way for more efficient and reliable industrial systems.
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Nema, Nuha wathq, Saad Nahi Saleh, and Fayadh Mohamed Abed. "CFD Simulation of Air Cyclone Separator." Tikrit Journal of Engineering Sciences 23, no. 3 (2016): 25–36. http://dx.doi.org/10.25130/tjes.23.3.03.
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A computational fluid dynamics model was developed for air cyclone separator in order to predict the flow pattern inside the cyclone using an Eulerian approach, three dimensions Reynolds-Average Navier-Stokes equations, closed via the Reynolds Stress model as a turbulence model for air flow. The particles were modeled as a discrete phase model using the Lagrangian transport model with turbulent particle dispersion. Computational fluid dynamics modeling was employed to investigate fluid flow patterns and particle trajectories at steady state operating conditions of Stairmand cyclone. Analysis of a computational fluid dynamics simulation accurately revealed that the air flow behavior in cyclone separator consists of two vortexes : an outer vortex with a downwardly directed axial flow and an inner vortex with an upwardly directed flow, this flow profile known as Rankine vortex. A low-pressure zone appeared in the center line of the cyclone due to high swirling velocity. The results showed that the pressure drop increased with increasing the inlet air velocity. The results of the collection efficiency showed that the efficiency increased as the particles diameter increased. A good agreement achieved between the simulation results and published experimental results. The computational fluid dynamics code (ANSYS FLUENT 14.5) with the Reynolds Stress model as the turbulence model, predicted very well the flow field parameters of cyclones and can be used in cyclone design for any dimensions.
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Alex, J., G. Kolisch, and K. Krause. "Model structure identification for wastewater treatment simulation based on computational fluid dynamics." Water Science and Technology 45, no. 4-5 (2002): 325–34. http://dx.doi.org/10.2166/wst.2002.0616.
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The objective of this presented project is to use the results of an CFD simulation to automatically, systematically and reliably generate an appropriate model structure for simulation of the biological processes using CSTR activated sludge compartments. Models and dynamic simulation have become important tools for research but also increasingly for the design and optimisation of wastewater treatment plants. Besides the biological models several cases are reported about the application of computational fluid dynamics (CFD) to wastewater treatment plants. One aim of the presented method to derive model structures from CFD results is to exclude the influence of empirical structure selection to the result of dynamic simulations studies of WWTPs. The second application of the approach developed is the analysis of badly performing treatment plants where the suspicion arises that bad flow behaviour such as short cut flows is part of the problem. The method suggested requires as the first step the calculation of fluid dynamics of the biological treatment step at different loading situations by use of 3-dimensional CFD simulation. The result of this information is used to generate a suitable model structure for conventional dynamic simulation of the treatment plant by use of a number of CSTR modules with a pattern of exchange flows between the tanks automatically. The method is explained in detail and the application to the WWTP Wuppertal Buchenhofen is presented.
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Akshay Shirsikar, Punam Khatik, Kuldeep Singh, and Lachhi Ram. "Optimized Wiper Design using Computational Fluid Dynamics." ARAI Journal of Mobility Technology 2, no. 4 (2022): 401–10. http://dx.doi.org/10.37285/ajmt.2.4.8.
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This paper presents the robust use of Computational Fluid Dynamics (CFD) techniques as complement to wind tunnel testing for the performance assessment of rain water and wiper wash behavior on windscreen surfaces. The objective of this paper is to predict windscreen wiper design performance and its effectiveness with the help of CFD. Clear visibility to the occupants is the key for stress free and safer driving experience, therefore it is important to study the windscreen wiper system performance under different work load conditions. A multi-phase CFD code is used to simulate rain drops and its impingent on the vehicle is modeled with the help of thin liquid film. The wiper blade motion is defined with inputs from multi body dynamics (MBD) considering the driver and passenger side wiper blade speed and extent. Time-dependent results for the wiper blade location, water fluid film spread, and its height on the windscreen, A-pillar, leaf-screen rain gutters were obtained. The CFD results then equated with the physical test data. The calculated water film pattern found to be associated with the observed patterns of the waterways on the test vehicle. Multiple design studies were performed on the CFD model which are also reliable with similar test configurations. From the results, it is concluded that numerical simulation of water behavior on vehicle surfaces is possible, and CFD method is effective tool to assist engineers in envisaging, analyzing, and designing water management systems. A Computational Fluid Dynamics code had been introduced in order to simulate the cleaning performance of the automobile wash. Multi-phase thin film with rigid body motion models were used for this purpose. The objectives of the project were to quantify the water flow, enhance visualization, and develop a CAE methodology which will assist in the product development process.
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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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Smoker, Brendan, Bart Stockdill, and Peter Oshkai. "Escort Tug Performance Prediction Using Computational Fluid Dynamics." Journal of Ship Research 60, no. 02 (2016): 61–77. http://dx.doi.org/10.5957/jsr.2016.60.2.61.
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In this paper, we outline and validate a computational fluid dynamics (CFD) method for determining the hydrodynamic forces of an escort tug in indirect towing mode. We consider a range of yaw angles from 0° to 90° and a travel speed of 8 knots. We discuss the effects of scaling on prediction of flow separation and hydrodynamic forces acting on the vessel by carrying out CFD studies on both model and full-scale escort tugs performing indirect escort maneuvers. As the escort performance in terms of maximum steering forces is strongly dependent on the onset of flow separation from the hull and skeg of the tug, the model-scale simulations under-predict the maximum steering force by 12% relative to the full-scale simulations. In addition, we provide a method for converting the hydrodynamic forces of the CFD escort study into towline and thrust forces.
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Liu, Bohua, Mengjiao Gou, Xiaomao Sun, and Hengyi Du. "Application of Artificial intelligence in Computational fluid dynamics." Frontiers in Computing and Intelligent Systems 1, no. 3 (2022): 57–60. http://dx.doi.org/10.54097/fcis.v1i3.2072.
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With the continuous development of artificial intelligence (AI) and computer, the further improvement of computational fluid dynamics (CFD) algorithm and software, artificial intelligence technology has shown its advantages in many fields.AI is becoming increasingly common in engineering applications and is significant in reducing human labor. The purpose of this paper is to summarize the AI technology in the field of CFD, the application of artificial intelligence can through machine learning geometry model parameters, the grid generation technique, the turbulence model calculation, reduce manual intervention, improve the meshing degree, improve the predictive accuracy, rapid turbulence data visualization analysis, bring so much convenient for computational fluid dynamics.
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Meyers, Dr Jonathan, and Dr Amanda Li. "COMPUTATIONAL FLUID DYNAMICS INVESTIGATION OF AERODYNAMIC PERFORMANCE FOR A BUS AT VARYING SPEEDS." International Journal of Research in Engineering 4, no. 10 (2024): 1–6. https://doi.org/10.55640/ijre-04-10-01.
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This study investigates the aerodynamic characteristics of a bus at various velocities using Computational Fluid Dynamics (CFD) simulations. With increasing global concerns regarding fuel efficiency, operational costs, and environmental impact, understanding and optimizing the airflow around large road vehicles like buses has become critically important. This research employs advanced CFD techniques to model the complex airflow patterns, visualize pressure distributions, and accurately quantify the aerodynamic forces, specifically drag, acting on a representative bus model. Simulations were systematically conducted across a range of typical operating speeds to meticulously observe the impact of velocity on key aerodynamic parameters, including the drag coefficient and the absolute drag force. The findings provide comprehensive insights into the intricate fluid dynamics surrounding bluff-body vehicles such as buses and highlight specific areas where aerodynamic improvements could be implemented. Ultimately, this work contributes to the broader goal of enhancing fuel economy, reducing emissions, and improving the overall sustainability of public transportation systems.
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Ren, Hai Wei, and Yi Zhang. "Applications of Computational Fluid Dynamics(CFD) in the Food Industry." Advanced Materials Research 236-238 (May 2011): 2273–78. http://dx.doi.org/10.4028/www.scientific.net/amr.236-238.2273.
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The application of computational fluid dynamics(CFD) in the food industry such as drying, thermal sterilization, mixing, refrigeration and humidification of cold storage was reviewed. The results from previous studies have shown that CFD was a powerful numerical tool that is applied to model fluid flow situations and aid in the optimal design of engineering equipment and food process. With the development of computer technology, it is conceivable that CFD will continue to provide more explanations for physical modeling of fluid flow and process system design for the food industry.
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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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Liu, Yitao. "Systematic computational methods of unsteady flow simulation based on computational fluid dynamics." Applied and Computational Engineering 12, no. 1 (2023): 151–63. http://dx.doi.org/10.54254/2755-2721/12/20230328.
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Unsteady flow is the dominant flow state in real life; thus, the simulation of it is of vital importance, especially in engineering, for example, the flutter or buffeting of the aerofoil. In the past decades, the progress in computational science greatly paced the development of computational fluid dynamics (CFD), providing powerful tools for simulating unsteady flow via numerical methods. However, the unsteady flow state depends on more variables than a steady flow, including the external conditions in different time moments and the flow's properties that vary with time. The calculation is still too massive, even using CFD. Therefore, CFD algorithms with higher efficiency and less reduction in accuracy are still needed to optimize the technique. This paper reviews the main CFD computational methods that have been maturely developed and proven effective, including direct numerical simulation (DNS), classic turbulence models and reduced order model (ROM), illustrating the main mechanisms and displaying their features. The paper also sheds light on these methods' latest research progress.
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Malik, M. Rizwan, Tie Lin Shi, Zi Rong Tang, and Shi Yuan Liu. "Computational Fluid Dynamics (CFD) Based Simulated Study of Multi-Phase Fluid Flow." Defect and Diffusion Forum 307 (December 2010): 1–11. http://dx.doi.org/10.4028/www.scientific.net/ddf.307.1.
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It is critical to understand multiphase flow applications with regard to dynamic behavior. In this paper, a systematic approach to the study of these applications is pursued, leading to separated flows comprising the effects of free surface flows and wetting. For the first time, wetting phenomena (three wetting regimes such as no wetting, 90 º wetting angle and absolute wetting) are added in the separated flow model. Special attention is paid to computational fluid dynamics (CFD) in order to envisage the relationship between complex metallurgical practices such as mass and momentum exchange, turbulence, heat, reaction kinetics and electromagnetic fields. Simulations are performed in order to develop sub-models for studying multiphase flow phenomena at larger scales. The outcomes show that a proper mixture of techniques is valuable for constructing larger-scale models based upon sub-models for recreating the hierarchical structure of a detailed CFD model applicable throughout the process.
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Sapiński, Bogdań, and Marcin Szczęch. "CFD MODEL OF A MAGNETORHEOLOGICAL FLUID IN SQUEEZE MODE." Acta Mechanica et Automatica 7, no. 3 (2013): 180–83. http://dx.doi.org/10.2478/ama-2013-0031.
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Abstract The study briefly outlines a CFD model of a magnetorheological (MR) fluid operated in squeeze mode with a constant interface area using the CFD (Computational Fluid Dynamics) approach. The underlying assumption is that the MR fluid is placed between two surfaces of which at least one can be subject to a prescribed displacement or a force input. The widely employed Bingham model, which fails to take into account the yield stress variations depending on the height of the gap, has been modified. Computation data obtained in the ANSYS CFX environment are compared with experimental results.
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Shilton, A. "Potential application of computational fluid dynamics to pond design." Water Science and Technology 42, no. 10-11 (2000): 327–34. http://dx.doi.org/10.2166/wst.2000.0673.
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The ability to reliably predict the fluid flow through a pond and relate these hydraulic characteristics to pond treatment performance would clearly be a very valuable tool to the design engineer. The application of computational fluid dynamics (CFD) mathematical modelling has the potential to do this. In recent years there has been rapid advancement of computing power and mathematical modelling software. CFD simulation gives the pond designer the potential to explore the hydraulic performance for a wide range of design configurations and scenarios. This paper reports on the application of the PHOENICS CFD package for this purpose. To demonstrate the potential application of CFD to pond design, this paper presents a series of simulations of a small community pond. The simulations undertaken were three-dimensional and incorporated the k-e turbulence model. The first of these modelled the existing pond arrangement, after which the effects of adding a baffle is shown as an example of how CFD can be applied for design. In addition to the fluid velocity field, plots of a simulated tracer slick were produced. This simulated tracer movement is used to produce hydraulic retention time distribution curves of the tracer concentration at the outlet. These are then integrated with a simple, first-order decay model for BOD removal and faecal coliform die-off to calculate treatment efficiency. This allowed direct comparison of the expected treatment efficiencies with and without the baffle modification.
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Zhang, Mingjie, Jiangang Yang, Wanfu Zhang, and Qianlei Gu. "Orbit Decomposition Method for Rotordynamic Coefficients Identification of Annular Seals." Applied Sciences 11, no. 9 (2021): 4237. http://dx.doi.org/10.3390/app11094237.
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The elliptical orbit whirl model is widely used to identify the frequency-dependent rotordynamic coefficients of annular seals. The existing solution technique of an elliptical orbit whirl model is the transient computational fluid dynamics (CFD) method. Its computational time is very long. For rapid computation, this paper proposes the orbit decomposition method. The elliptical whirl orbit is decomposed into the forward and backward circular whirl orbits. Under small perturbation circumstances, the fluid-induced forces of the elliptical orbit model can be obtained by the linear superposition of the fluid-induced forces arising from the two decomposed circular orbit models. Due to that the fluid-induced forces of circular orbit, the model can be calculated with the steady CFD method, and the transient computations can be replaced with steady ones when calculating the elliptical orbit whirl model. The computational time is significantly reduced. To validate the present method, its rotordynamic results are compared with those of the transient CFD method and experimental data. Comparisons show that the present method can accurately calculate the rotordynamic coefficients. Elliptical orbit parameter analysis reveals that the present method is valid when the whirl amplitude is less than 20% of seal clearance. The effect of ellipticity on rotordynamic coefficients can be ignored.
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BEKER, Can, Ali Emre TURGUT, and Dilek Funda KURTULUŞ. "AEROELASTIC ANALYSIS OF A FLAPPING BLOW FLY WING." First Issue of 2019, no. 2019.01 (December 18, 2019): 10–18. http://dx.doi.org/10.23890/ijast.2019.0102.
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In this study, 3D model of the bio-inspired blow fly wing Callphere Erytrocephala is created and aeroelastic analysis is performed to calculate its aerodynamical characateristic by use of numerical methods. In order to perform the flapping motion, a sinusoidal input function is created. The scope of this study is to perform aeroelastic analysis by syncronizing computational fluid dynamics (CFD) and structural dynamic analysis model and to investigate the unsteady lift formation on the aeroelastic flapping wing. Keywords: Micro air vehicle, Fluid-structure interaction analysis, Computational Fluid Dynamics, Structural dynamic analysis, Finite element analysis
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Giddings, D., C. N. Eastwick, S. J. Pickering, and K. Simmons. "Computational fluid dynamics applied to a cement precalciner." Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 214, no. 3 (2000): 269–80. http://dx.doi.org/10.1243/0957650001538353.
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This paper describes a study of the use of computational fluid dynamics (CFD) to investigate the performance of a precalciner vessel at a cement works, In this vessel, limestone, held in suspension, is calcined to calcium oxide and the endothermic reaction is supported by the combustion of coal. Results are presented from a CFD model that contains all the essential features of the precalciner as operated when burning coal. The model fully represents the reactions and fluid dynamics of the precalciner. Previously unidentified features are illustrated. Certain key features at points in the precalciner, where some limited measurements can be made, are compared with the parameters indicated by the computational model. The measurements are consistent with the results calculated by the model indicating fair validation. The CFD data show the following 1 The gases undergo distinct recirculation. 2 The coal particles entering at one inlet have significantly different trajectories and temperature histories from those entering at the second diametrically opposed inlet. 3 There is 90 per cent completion of coal combustion at the exit. 4 73 per cent limestone in the raw meal is calcined to calcined to calcium oxide at the exit from the precalciner. 5 The highest reaction rate of the raw meal is closer to one side of the vessel due to interaction with the gas flows. Future work is proposed which, firstly, will provide further validation of the results so far attained by selective measurements on the precalciner and, secondly, will model the combustion and aerodynamic behaviour of waste-derived fuels in the precalciner vessel, commencing with shredded car tyre chips.
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Oruc, Ilker, Joseph F. Horn, Jeremy Shipman, and Susan Polsky. "Towards real-time pilot-in-the-loop CFD simulations of helicopter/ship dynamic interface." International Journal of Modeling, Simulation, and Scientific Computing 08, no. 04 (2017): 1743005. http://dx.doi.org/10.1142/s179396231743005x.
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This study presents the development of computationally efficient coupling of Navier–Stokes Computational Fluid Dynamics (CFD) with a helicopter flight dynamics model with the ultimate goal of real-time simulation of airwake effects in the helicopter/ship Dynamic Interface (DI). The flight dynamics model is free to move within a computational domain, where the main rotor forces are converted to source terms in the momentum equations of the CFD solution using an actuator disk model. Simultaneously, the CFD solver calculates induced velocities that are fed back to the simulation and affect the aerodynamic loads in the flight dynamics. The CFD solver models the inflow, ground effect and interactional aerodynamics in the flight dynamics simulation, and these calculations can be coupled with the solution of the external flow (e.g., ship airwake effects). The simulation framework for fully-coupled pilot-in-the-loop (PIL) flight dynamics/CFD is demonstrated for a simplified shedding wake. Initial tests were performed with 0.38 million structured grid cells running on 352 processors and showed near-real-time performance. Improvements to the coupling interface are described that allow the simulation run at near-real-time execution speeds on currently available computing platforms. Improvements in computing hardware are expected to allow real-time simulations.
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Anisum, Anisum, Nursigit Bintoro, and Sunarto Goenadi. "ANALISIS DISTRIBUSI SUHU DAN KELEMBABAN UDARA DALAM RUMAH JAMUR (KUMBUNG) MENGGUNAKAN COMPUTATIONAL FLUID DYNAMICS (CFD)." Jurnal Agritech 36, no. 01 (2016): 64. http://dx.doi.org/10.22146/agritech.10686.
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One effort to optimize the temperature and humidity in the mushroom house during the dry season using evaporative cooler. This research was conducted two treatment variation which were assessed about distribution of temperature and humidity of air inside a mushroom house using Computational Fluid Dynamics (CFD) is the condition of building using natural ventilation and condition of building with water used evaporative cooler. Computational Fluid Dynamics (CFD) analysis was able to model the distributions of temperature and humidity, and air movement pattern inside of a mushroom house. The validation point of temperature distribution and humidity in the mushroom house has an error 0.70-2.62%. The results CFD analysis of temperature and humidity were able to reduced by about ±loC and ±5.1% for building with evaporative cooler used water. The indicated that buildings evaporative cooler used water able to reduced air temperature and increasing humidity in the mushroom houses.Keywords: Computational Fluid Dynamics (CFD), oyster, mushroom house, evaporative cooler ABSTRAKSalah satu upaya untuk mengoptimalkan suhu dan kelembaban udara dalam rumah jamur pada musim kemarau dengan menggunakan evaporative cooler (pendingin penguap). Pada penelitian ini ada dua variasi perlakuan yang dikaji pendistribusian suhu dan kelembaban udara dalam rumah jamur dengan menggunakan Computational Fluid Dynamics (CFD), yaitu kondisi bangunan menggunakan ventilasi alamiah dan kondisi bangunan dengan pendingin penguap (evaporative cooler) menggunakan air. Analisis dengan Computational Fluid Dynamics (CFD) mampu memodelkan distribusi suhu dan kelembaban udara, serta pola pergerakan udara dalam rumah jamur. Nilai validasi distribusi suhu dan kelembaban udara dalam rumah jamur menunjukkan error 0,70 - 2,62%. Dari hasil analisis CFD suhu dan kelembaban udara mampu diturunkan sebesar ±1oC dan ±5,1% untuk bangunan dengan evaporative cooler menggunakan air. Hal ini menunjukkan bahwa bangunan dengan evaporative cooler menggunakan air mampu menurunkan suhu udara dan meningkatkan kelembaban udara dalam rumah jamur.Kata kunci: Computational Fluid Dynamics (CFD), rumah jamur (kumbung), evaporative cooler
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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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Virr, G. P., J. W. Chew, and J. Coupland. "Application of Computational Fluid Dynamics to Turbine Disk Cavities." Journal of Turbomachinery 116, no. 4 (1994): 701–8. http://dx.doi.org/10.1115/1.2929463.
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A CFD code for the prediction of flow and heat transfer in rotating turbine disk cavities is described and its capabilities demonstrated through comparison with available experimental data. Application of the method to configurations typically found in aeroengine gas turbines is illustrated and discussed. The code employs boundary-fitted coordinates and uses the k–ε turbulence model with alternative near-wall treatments. The wall function approach and a one-equation near-wall model are compared and it is shown that there are particular limitations in the use of wall functions at low rotational Reynolds number. Validation of the code includes comparison with earlier CFD calculations and measurements of heat transfer, disk moment, and fluid velocities. It is concluded that, for this application CFD is a valuable design tool capable of predicting the flow at engine operating conditions, thereby offering the potential for reduced engine testing through enhanced understanding of the physical processes.
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Purwanto, Budiyono, Hermawan, and Sudarno. "The Modeling of Cross Flow Runner With Computational Fluid Dynamics on Microhydro Tube." E3S Web of Conferences 202 (2020): 08008. http://dx.doi.org/10.1051/e3sconf/202020208008.
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The Model of Fluid Dynamics Computation (CFD) aims to obtain cross-tubine flow in microhydro tubes. The parameters used to determine the cross flow turbine power are the blade angle, the number of cross runner blades and the head tube as the production house. Computational Fluid Dynamics (CFD) is software that can load integral and partial equations into discrete algebraic equations (addition, multiplication, multiplication and division) that can be used with the help of computers to find solutions for sources and times. In the era of technology, the development of the Computational Fluid Dynamics (CFD) program is very fast making this method a trend in various fields of industry that utilizes a comparison of pure experimental data and pure theory. The study of turbine cross flow power on microhydro tubes shows 1213 Watt power on the parameters of blade number 16, blade angle of 150 and 200 at head 4 meters.
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Li, J., J. Zhang, J. Miao, J. Ma, and W. Dong. "Application of computational fluid dynamics (CFD) to ozone contactor optimization." Water Supply 6, no. 4 (2006): 9–16. http://dx.doi.org/10.2166/ws.2006.905.
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Many approaches have been used to model the performance and efficiency of ozone contactors based on some assumptions to characterize the backmixing in fluids. Recently, computational fluid dynamics (CFD) technique has been proposed to simulate and optimize ozone contactors by calculating residence time distribution of fluid. To improve the ozone contactor performance of Bijianshan Water Treatment Plant in Shenzhen in South China, CFD was used for simulation and development of new optimization measures. Results showed that the low depth/length ratio of the contactor chambers in the original design resulted in short circuiting and backmixing, with the T10/HRT being only 0.40. Installation of guide plates substantially reduced short circuiting and backmixing with a much higher T10/HRT (0.66), increased by 73% compared with the original design.
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Dawes, W. N. "Turbomachinery computational fluid dynamics: asymptotes and paradigm shifts." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 365, no. 1859 (2007): 2553–85. http://dx.doi.org/10.1098/rsta.2007.2021.
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This paper reviews the development of computational fluid dynamics (CFD) specifically for turbomachinery simulations and with a particular focus on application to problems with complex geometry. The review is structured by considering this development as a series of paradigm shifts, followed by asymptotes. The original S1–S2 blade–blade-throughflow model is briefly described, followed by the development of two-dimensional then three-dimensional blade–blade analysis. This in turn evolved from inviscid to viscous analysis and then from steady to unsteady flow simulations. This development trajectory led over a surprisingly small number of years to an accepted approach—a ‘CFD orthodoxy’. A very important current area of intense interest and activity in turbomachinery simulation is in accounting for real geometry effects, not just in the secondary air and turbine cooling systems but also associated with the primary path. The requirements here are threefold: capturing and representing these geometries in a computer model; making rapid design changes to these complex geometries; and managing the very large associated computational models on PC clusters. Accordingly, the challenges in the application of the current CFD orthodoxy to complex geometries are described in some detail. The main aim of this paper is to argue that the current CFD orthodoxy is on a new asymptote and is not in fact suited for application to complex geometries and that a paradigm shift must be sought. In particular, the new paradigm must be geometry centric and inherently parallel without serial bottlenecks. The main contribution of this paper is to describe such a potential paradigm shift, inspired by the animation industry, based on a fundamental shift in perspective from explicit to implicit geometry and then illustrate this with a number of applications to turbomachinery.
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Dogan, Hakan, Aykut Tamer, H. Enes Salman, and Predaricka Deastra. "Utilising computational fluid dynamics to investigate damping effects in fluid inerter-based vibration control devices." Journal of Physics: Conference Series 2909, no. 1 (2024): 012029. https://doi.org/10.1088/1742-6596/2909/1/012029.
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Abstract Over the past two decades, inerters have attracted significant attention in structural control. Numerous applications in engineering fields have proposed employing inerter-based control devices to mitigate structural vibrations. While theoretical studies have demonstrated performance enhancements, practical implementation and experimental validation have remained limited primarily due to cost and technical challenges. Studies conducted with the physically built inerters have showed discrepancies between theoretical model of the inerter and its actual performance because of factors such as nonlinearities and damping effects. Computational Fluid Dynamics (CFD) can provide a more accurate model of the inerter without the need for costly experimental setups. This paper presents a CFD analysis aimed at evaluating the actual performance of a fluid inerter-based control device for vibration mitigation of single degree of freedom (SDOF) structure. The accurate modeling of the inerter obtained through CFD is used to evaluate the performance of the inerter-based control device. The results reveal an important difference between vibration mitigation performance when comparing the ideal theoretical model and the CFD model.
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Wong, Kai Chung, Tony Chen, David E. Connor, Masud Behnia, and Kurosh Parsi. "Computational Fluid Dynamics of Liquid and Foam Sclerosant Injection in a Vein Model." Applied Mechanics and Materials 553 (May 2014): 293–98. http://dx.doi.org/10.4028/www.scientific.net/amm.553.293.
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The aim of this study was to develop a computational fluid dynamics (CFD) model to simulate the injection of liquid and foam sclerosants into a varicose vein. The CFD model results were compared with sclerosant flow in an experimental model of a straight or a branched vein. The effects of injection angle, injection velocity and tubing contents (blood, saline) on sclerosant spreading were assessed by CFD. The simulation of liquid sclerosants injection was able to provide a good representation of forward flow, but underrepresented sclerosant backflow. Due to the complex nature of computational modelling of foams, CFD modelling of foam sclerosants injection was less accurate and provided only limited information on foam spreading. CFD modelling can be used as a representation of liquid and foam sclerosant injection, but further research is required to provide a more accurate analysis.
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Clifford, M. J., K. A. Simmons, J. Roberts, and T. D. Truscot. "Computational fluid dynamics modelling of a static mixer." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 220, no. 3 (2006): 325–32. http://dx.doi.org/10.1243/09544062c06405.
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In this paper, the data from physical experiments are used to quantify the mixing efficiency of a static mixer injected with two coloured streams of fluid. Two image analysis techniques are investigated - counting striations and a modified mixing index approach based on creating a histogram of greyscale values from the digitized image. The histogram approach is identified as the more promising and establishes the method for a future, more detailed study Data from a computational fluid dynamics (CFD) model of the mixer were analysed using the modified mixing index approach. Comparison to experimental results suggests that the bulk behaviour of the static mixer can be adequately captured by the deterministic CFD approach, despite the chaotic nature of the original mixing process.
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Rodriguez, Dr Daniel M., and Dr Rachel Kim. "COMPUTATIONAL FLUID DYNAMICS ANALYSIS OF TESLA CYBERTRUCK'S AERODYNAMIC PERFORMANCE AT VARYING SPEEDS." International Journal of Research in Engineering 4, no. 9 (2024): 1–4. https://doi.org/10.55640/ijre-04-09-01.
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Background: The Tesla Cybertruck's unconventional angular design has sparked widespread interest and debate regarding its aerodynamic efficiency. Aerodynamics plays a critical role in electric vehicle (EV) performance, influencing range, stability, and energy consumption. Objective: This study employs Computational Fluid Dynamics (CFD) to evaluate the aerodynamic behavior of the Tesla Cybertruck across a range of speeds, aiming to quantify drag forces, pressure distribution, and flow separation patterns. Methods: A detailed 3D model of the Cybertruck was subjected to CFD simulations using ANSYS Fluent at speeds ranging from 30 km/h to 150 km/h. The analysis included calculation of drag coefficients (Cd), visualization of flow fields, and assessment of pressure zones. Turbulence was modeled using the k-ε and SST k-ω models to ensure accuracy across flow regimes. Results: The Cybertruck exhibited a relatively high drag coefficient compared to traditional EV designs, primarily due to its sharp edges and flat surfaces. However, aerodynamic performance remained consistent across moderate speed ranges, with noticeable increases in drag and flow separation at higher velocities. Conclusion: While the Cybertruck's geometry poses aerodynamic challenges, its performance is sufficient for practical applications. Design modifications such as rear tapering or underbody streamlining could further enhance efficiency without compromising aesthetics or structural integrity.
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Wootton, David M., Haiyan Luo, Steven C. Persak, et al. "Computational fluid dynamics endpoints to characterize obstructive sleep apnea syndrome in children." Journal of Applied Physiology 116, no. 1 (2014): 104–12. http://dx.doi.org/10.1152/japplphysiol.00746.2013.
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Computational fluid dynamics (CFD) analysis may quantify the severity of anatomical airway restriction in obstructive sleep apnea syndrome (OSAS) better than anatomical measurements alone. However, optimal CFD model endpoints to characterize or assess OSAS have not been determined. To model upper airway fluid dynamics using CFD and investigate the strength of correlation between various CFD endpoints, anatomical endpoints, and OSAS severity, in obese children with OSAS and controls. CFD models derived from magnetic resonance images were solved at subject-specific peak tidal inspiratory flow; pressure at the choanae was set by nasal resistance. Model endpoints included airway wall minimum pressure (Pmin), flow resistance in the pharynx (Rpharynx), and pressure drop from choanae to a minimum cross section where tonsils and adenoids constrict the pharynx ( dP TAmax). Significance of endpoints was analyzed using paired comparisons ( t-test or Wilcoxon signed rank test) and Spearman correlation. Fifteen subject pairs were analyzed. Rpharynx and dP TAmax were higher in OSAS than control and most significantly correlated to obstructive apnea-hypopnea index (oAHI), r = 0.48 and r = 0.49, respectively ( P < 0.01). Airway minimum cross-sectional correlation to oAHI was weaker ( r = −0.39); Pmin was not significantly correlated. CFD model endpoints based on pressure drops in the pharynx were more closely associated with the presence and severity of OSAS than pressures including nasal resistance, or anatomical endpoints. This study supports the usefulness of CFD to characterize anatomical restriction of the pharynx and as an additional tool to evaluate subjects with OSAS.
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Ibrahim, Said Maulana, and M. Ikhwan Najmi. "Computational Fluid Dynamics (CFD) Optimization in Smart Factories: AI-Based Predictive Modelling." Journal of Technology Informatics and Engineering 4, no. 1 (2025): 56–74. https://doi.org/10.51903/jtie.v4i1.264.
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In the era of Industry 4.0, optimizing fluid flow systems in smart factories is essential to improve energy efficiency and operational stability. Traditional Computational Fluid Dynamics (CFD) simulations provide accurate fluid flow analysis but require extensive computational resources and long processing times, making real-time applications challenging. To address this limitation, this study aims to develop an AI-based predictive model for CFD simulations, utilizing Convolutional Neural Networks (CNN) and Extreme Gradient Boosting (XGBoost) to accelerate the estimation of fluid flow characteristics in industrial environments. The research methodology involves generating CFD simulation datasets, preprocessing data, and training AI models to predict key fluid parameters such as pressure, velocity, and temperature. The evaluation results show that CNN achieves a Mean Squared Error (MSE) of 0.0025 and a Root Mean Squared Error (RMSE) of 0.05, outperforming XGBoost, which records an MSE of 0.0030 and an RMSE of 0.055. Moreover, CNN predicts fluid dynamics in just 15.2 seconds, while XGBoost achieves results in 10.5 seconds, compared to the 1200.5 seconds required by traditional CFD simulations. These findings highlight the potential of AI in reducing computation time by over 98%, making real-time fluid flow analysis feasible in industrial settings. This study contributes to the advancement of AI-integrated CFD modeling, demonstrating that AI can significantly enhance the efficiency of fluid dynamics analysis without compromising accuracy. Future research should focus on expanding AI models to handle more complex flow conditions and integrating AI with smart factory design tools for real-time optimization
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Liu, Lin Lin, Jian Liu, Xiao Yan Zhang, and Shan Shan Zheng. "Analysis and Optimization of Hot Air Drying Device of a Gravure Printing Machine Based on Fluid Analysis." Applied Mechanics and Materials 121-126 (October 2011): 2517–21. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.2517.
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in this paper, analysis of the fluid dynamics was carried out on hot air in drying mechanism of a gravure printing machine by applying the fluid dynamics and aerodynamics theories. The kinematical equation and the kinetic equation were established respectively and the RNG model was added according to flowing conditions of hot air. The CFD analysis model was established by adopting the computational fluid dynamics (CFD) method to implement dynamic simulation analysis on air hot in the drying mechanism. Uniformity of drying was improved through adding clapboard and a flow guide plate to optimize the structure of air nozzles, so that the hot air convolutes for multi times on substrate and the utilization efficiency was increased.
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Tahara, Y., F. Stern, and Y. Himeno. "Computational Fluid Dynamics–Based Optimization of a Surface Combatant." Journal of Ship Research 48, no. 04 (2004): 273–87. http://dx.doi.org/10.5957/jsr.2004.48.4.273.
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Computational fluid dynamics (CFD)-based optimization of a surface combatant is presented with the following main objectives:development of a high-performance optimization module for a Reynolds averaged Navier-Stokes (RANS) solver for with-free-surface condition; anddemonstration of the capability of the optimization method for flow- and wave-field optimization of the Model 5415 hull form. The optimization module is based on extension of successive quadratic programming (SQP) for higher-performance optimization method by introduction of parallel computing architecture, that is, message passing interface (MPI) protocol. It is shown that the present parallel SQP module is nearly m(= 2k+ 1; k is number of design parameters) times faster than conventional SQP, and the computational speed does not depend on the number of design parameters. The RANS solver is CFDSHIP-IOWA, a general-purpose parallel multiblock RANS code based on higher-order upwind finite difference and a projection method for velocity-pressure coupling; it offers the capability of free-surface flow calculation. The focus of the present study is on code development and demonstration of capability, which justifies use of a relatively simple turbulence model, a free-surface model without breaking model, static sinkage and trim, and simplified design constraints and geometry modeling. An overview is given of the high-performance optimization method and CFDSHIP-IOWA, and results are presented for stern optimization for minimization of transom wave field disturbance; sonar dome optimization for minimization of sonar-dome vortices; and bow optimization for minimization of bow wave. In conclusion, the present work has successfully demonstrated the capability of the CFD-based optimization method for flow- and wave-field optimization of the Model 5415 hull form. The present method is very promising and warrants further investigations for computer-aided design (CAD)-based hull form modification methods and more appropriate design constraints.
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Norouzi, Nima, and Saeed Talebi. "A Computational Model for the Prediction of Net Power in Proton Exchange Membrane Fuel Cells." Chemistry & Chemical Technology 16, no. 2 (2022): 303–13. http://dx.doi.org/10.23939/chcht16.02.303.
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This paper aims to quantify the rate of improvement of electrical energy due to oxygen enrichment. For a specific membrane effective area (MEA), the flow field (FF) designer is always ready to design the FF to maximize the amount of oxygen in all areas of the catalyst layer (CL). Using the guidelines in this paper, FF designers, without cumulative computational fluid dynamics (CFD) calculations, can predict the rate of electrical energy gain due to 1 % enrichment in the amount of oxygen present in the CL. A 3D CFD tool was used to answer this question. These three constant steps of the reaction product simulate the humidified air mixture at the proton exchange membrane fuel cell (PEMFC). Results show that the analytic methods and the dynamic computational method introduced in this paper are similar in results, and the error of the CFD model is about 1.9 % compared to the analytic method.
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Bottigliero, Roberta, Viola Rossano, and Giuliano De Stefano. "Transonic Dynamic Stability Derivative Estimation Using Computational Fluid Dynamics: Insights from a Common Research Model." Aerospace 12, no. 4 (2025): 304. https://doi.org/10.3390/aerospace12040304.
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Dynamic stability derivatives are critical parameters in the design of trajectories and attitude control systems for flight vehicles, as they directly affect the divergence behavior of vibrations in an aircraft’s open-loop system when subjected to disturbances. This study focuses on the estimation of dynamic stability derivatives using a computational fluid dynamics (CFD)-based force oscillation method. A transient Reynolds-averaged Navier–Stokes solver is utilized to compute the time history of aerodynamic moments for an aircraft model oscillating about its center of gravity. The NASA Common Research Model serves as the reference geometry for this investigation, which explores the impact of pitching, rolling, and yawing oscillations on aerodynamic performance. Periodic oscillatory motions are imposed while using a dynamic mesh technique for CFD analysis. Preliminary steady-state simulations are conducted to validate the computational approach, ensuring the reliability and accuracy of the applied CFD model for transonic flow. The primary goal of this research is to confirm the efficacy of CFD in accurately predicting stability derivative values, underscoring its advantages over traditional wind tunnel experiments at high angles of attack. The study highlights the accuracy of CFD predictions and provides detailed insights into how different oscillations affect aerodynamic performance. This approach showcases the potential for significant cost and time savings in the estimation of dynamic stability derivatives.
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Paternina-Verona, Duban A., Oscar E. Coronado-Hernández, Vicente S. Fuertes-Miquel, Alfonso Arrieta-Pastrana, and Helena M. Ramos. "Two-Dimensional Analysis of Air–Water Interaction in Actual Water Pipe-Filling Processes." Water 17, no. 2 (2025): 146. https://doi.org/10.3390/w17020146.
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This paper investigates air–water interactions during a controlled filling process of an actual water pipeline using a two-dimensional Computational Fluid Dynamics (CFD) model. The main objectives are to understand the dynamic interaction of these fluids through water inflow patterns, pressure pulses, and air-pocket dynamics based on contours. This study uses an existing cast iron pipeline 485 m in length, a nominal diameter of 400 mm, and an air valve with a nominal diameter of 50 mm. The methodology of this CFD model includes the Partial Volume of Fluid (pVoF) method for air–water interface tracking, a turbulence model, mesh sensitivity and numerical validation with pressure and velocity measurements. Results highlight the gradual pressurization of pipelines and air pocket behavior at critical points and show the thermodynamic interaction concerning heat transfer between gas and liquid. This study advances the application of CFD in actual water pipelines, offering a novel approach to air pocket management.
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Küçüktopçu, Erdem, Bilal Cemek, and Halis Simsek. "Modeling Environmental Conditions in Poultry Production: Computational Fluid Dynamics Approach." Animals 14, no. 3 (2024): 501. http://dx.doi.org/10.3390/ani14030501.
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In recent years, computational fluid dynamics (CFD) has become increasingly important and has proven to be an effective method for assessing environmental conditions in poultry houses. CFD offers simplicity, efficiency, and rapidity in assessing and optimizing poultry house environments, thereby fueling greater interest in its application. This article aims to facilitate researchers in their search for relevant CFD studies in poultry housing environmental conditions by providing an in-depth review of the latest advancements in this field. It has been found that CFD has been widely employed to study and analyze various aspects of poultry house ventilation and air quality under the following five main headings: inlet and fan configuration, ventilation system design, air temperature–humidity distribution, airflow distribution, and particle matter and gas emission. The most commonly used turbulence models in poultry buildings are the standard k-ε, renormalization group (RNG) k-ε, and realizable k-ε models. Additionally, this article presents key solutions with a summary and visualization of fundamental approaches employed in addressing path planning problems within the CFD process. Furthermore, potential challenges, such as data acquisition, validation, computational resource requirements, meshing, and the selection of a proper turbulence model, are discussed, and avenues for future research (the integration of machine learning, building information modeling, and feedback control systems with CFD) are explored.
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Lelli, Diego, John W. Chew, and Paul Cooper. "Combined Three-Dimensional Fluid Dynamics and Mechanical Modeling of Brush Seals." Journal of Turbomachinery 128, no. 1 (2005): 188–95. http://dx.doi.org/10.1115/1.2103093.
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Development and application of a combined 3D computational fluid dynamics (CFD) and 3D bristle bending model for brush seals is described. The CFD model is created using commercial CFD mesh generation and solver software. A small gap is assumed between all bristles in the CFD model so as to avoid meshing problems at contact points and allow for imperfections in bristle geometry. The mechanical model is based on linear beam bending theory and allows large numbers of bristles to be modelled with arbitrary bristle-to-bristle contact and imported from the CFD solution. Deformed geometries may be exported directly to the mesh generation software, allowing iterative solution of the coupled aerodynamic/mechanical problem.
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Abdul Settar, N., S. Sarip, and H. M. Kaidi. "Computational Fluid Dynamics Model of Wells Turbine for Oscillating Water Column System: A Review." Journal of Physics: Conference Series 2053, no. 1 (2021): 012013. http://dx.doi.org/10.1088/1742-6596/2053/1/012013.
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Abstract Wells turbine is an important component in the oscillating water column (OWC) system. Thus, many researchers tend to improve the performance via experiment or computational fluid dynamics (CFD) simulation, which is cheaper. As the CFD method becomes more popular, the lack of evidence to support the parameters used during the CFD simulation becomes a big issue. This paper aims to review the CFD models applied to the Wells turbine for the OWC system. Journal papers from the past ten years were summarized in brief critique. As a summary, the FLUENT and CFX software are mostly used to simulate the Wells turbine flow problems while SST k-ω turbulence model is the widely used model. A grid independence test is essential when doing CFD simulation. In conclusion, this review paper can show the research gap for CFD simulation and can reduce the time in selecting suitable parameters when involving simulation in the Wells turbine.
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Qu, Guanni. "Applications of CFD Simulations in Environmental Science." Highlights in Science, Engineering and Technology 50 (May 21, 2023): 10–13. http://dx.doi.org/10.54097/hset.v50i.8459.
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Computational Fluid Dynamics (CFD) Simulations are an essential tool in environmental engineering. Since its development, it has been widely utilized in different subject fields to compute numerical solutions to solve complicated fluid dynamics equations. To better understand the strengths and limitations of the application of Computational Fluid Dynamics Simulations, research papers using CFD are analyzed, and their particular methods are discussed. The simplification of the modeling process and the generation of mesh are likely to induce errors. The geometry of the model in the porous media shows that the choice of the model makes a huge difference on the simulation results. Thus, qualifying the discrepancies between the real on-site measurements and the simulation results is of great importance by verifying both the CFD modeling and other modeling methods used. The meshing should also be verified by comparing the velocity of the fluid in the medium mesh and that in the fine mesh to ensure the quality of the mesh.
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Kulkarni, Anirudh, Garima Mishra, Sridhar Palla, Potnuri Ramesh, Dadi Venkata Surya, and Tanmay Basak. "Advances in Computational Fluid Dynamics Modeling for Biomass Pyrolysis: A Review." Energies 16, no. 23 (2023): 7839. http://dx.doi.org/10.3390/en16237839.
Full textAbstract:
Pyrolysis, a process for extracting valuable chemicals from waste materials, leverages computational fluid dynamics (CFD) to optimize reactor parameters, thereby enhancing product quality and process efficiency. This review aims to understand the application of CFD in pyrolysis. Initially, the need for pyrolysis and its role in biomass valorization are discussed, and this is followed by an elaboration of the fundamentals of CFD studies in terms of their application to the pyrolysis process. The various CFD simulations and models used to understand product formation are also explained. Pyrolysis is conducted using both conventional and microwave-assisted pyrolysis platforms. Hence, the reaction kinetics, governing model equations, and laws are discussed in the conventional pyrolysis section. In the microwave-assisted pyrolysis section, the importance of wavelength, penetration depth, and microwave conversion efficiencies on the CFD are discussed. This review provides valuable insights to academic researchers on the application of CFD in pyrolysis systems. The modeling of pyrolysis by computational fluid dynamics (CFD) is a complex process due to the implementation of multiple reaction kinetics and physics, high computational cost, and reactor design. These challenges in the modeling of the pyrolysis process are discussed in this paper. Significant solutions that have been used to overcome the challenges are also provided with potential areas of research and development in the future of CFD in pyrolysis.