scholarly journals Application of CFD Modeling Techniques to Design and Optimization of Direct-Flow Cyclones

2019 ◽  
Author(s):  
Roman Havryliv ◽  
Iryna Kostiv ◽  
Volodymyr Maystruk
Keyword(s):  
Cfd Modeling ◽  
Direct Flow ◽  
Design And Optimization ◽  
Modeling Techniques

CFD Modeling of Transient Flow Phenomena in an Axial Flow VAD

2007 ◽  
Author(s):  
Alexandrina Untaroiu ◽  
Amy L. Throckmorton ◽  
Houston G. Wood ◽  
Paul E. Allaire
Keyword(s):  
Blood Flow ◽  
Transient Flow ◽  
Axial Flow ◽  
The Body ◽  
Cfd Modeling ◽  
Ventricular Assist ◽  
Pump Design ◽  
Design And Optimization ◽  
Wide Range ◽  
Cfd Analyses

A ventricular assist device (VAD) effectively relieves the workload from a native heart, which has been weakened by disease, and increases blood flow supplied to the body to maintain normal physiologic function. The device must be able to operate over a wide range of conditions. Designed to operate at a single, best-efficiency operating point, it must frequently perform at off-design conditions due to a fluctuating flow rate demanded by the human body and a time varying flow within the pump, due to the beating of the native heart. The design and optimization of a blood pump is a challenging and complex process. Pump design equations are used to estimate the initial dimensions of the pump regions. Computational fluid dynamics (CFD) analyses are then performed to optimize the blood flow path according to specific design criteria under steady flow conditions [1].

Multi-Phase CFD Modeling of a Solid Sorbent Carbon Capture System

2012 ◽  
Author(s):  
Emily M. Ryan ◽  
Wei Xu ◽  
David DeCroix ◽  
Kringan Saha ◽  
E. David Huckaby ◽  
...  
Keyword(s):  
Computational Modeling ◽  
Carbon Capture ◽  
Initial Conditions ◽  
Cfd Modeling ◽  
Phase Method ◽  
Valuable Insight ◽  
Solid Sorbent ◽  
Ansys Fluent ◽  
Design And Optimization ◽  
Multi Phase

Post-combustion solid sorbent carbon capture systems are being studied via computational modeling as part of the U.S. Department of Energy’s Carbon Capture Simulation Initiative (CCSI). The work focuses on computational modeling of device-scale multi-phase computational fluid dynamics (CFD) simulations for given carbon capture reactor configurations to predict flow properties, outlet compositions, temperature and pressure. The detailed outputs of the device-scale models provide valuable insight into the operation of new carbon capture devices and will help in the design and optimization of carbon capture systems. As a first step in this project we have focused on modeling a 1 kWe solid sorbent carbon capture system using the commercial CFD software ANSYS FLUENT®. Using the multi-phase models available in ANSYS FLUENT®, we are investigating the use of Eulerian-Eulerian and Eulerian-Lagrangian methods for modeling a fluidized bed carbon capture design. The applicability of the dense discrete phase method (DDPM) is being considered along with the more traditional Eulerian-Eulerian multi-phase model. In this paper we will discuss the operation of the 1 kWe solid sorbent system and the setup of the DDPM and Eulerian-Eulerian models used to simulate the system. The results of the hydrodynamics in the system will be discussed and the predictions of the DDPM and Eulerian-Eulerian simulations will be compared. A discussion of the sensitivity of the model to boundary and initial conditions, computational meshing, granular pressure, and drag sub-models will also be presented.

scholarly journals A Review on Computational Fluid Dynamics Applications in the Design and Optimization of Crossflow Hydro Turbines

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Hamisi Ally Mrope ◽  
Yusufu Abeid Chande Jande ◽  
Thomas T. Kivevele
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Experimental Testing ◽  
Real Life ◽  
Cfd Modeling ◽  
Speed Ratio ◽  
Design And Optimization ◽  
Life Tests ◽  
Clear Idea ◽  
Hydro Turbines

In recent years, advances in using computational fluid dynamics (CFD) software have greatly increased due to its great potential to save time in the design process compared to experimental testing for data acquisition. Additionally, in real-life tests, a limited number of quantities are measured at a time, while in a CFD analysis all desired quantities can be measured at once, and with a high resolution in space and time. This article reviews the advances made regarding CFD modeling and simulation for the design and optimization of crossflow hydro turbines (CFTs). The performance of these turbines depends on various parameters like the number of blades, tip speed ratio, type of airfoil, blade pitch, chord length and twist, and its distribution along the blade span. Technical aspects of the model design, which include boundary conditions, solution of the governing equations of the water flow through CFTS, and the assumptions made during the simulations are thoroughly described. From the review, a clear idea on the suitability of the accuracy CFD applications in the design and optimization of crossflow hydro turbines has been provided. Therefore, this gives an insight that CFD is a useful and effective tool suitable for the design and optimization of CFTs.

scholarly journals Model-Based Design and Optimization of Blood Oxygenators

2020 ◽  
Vol 14 (4) ◽  
Author(s):  
Ge He ◽  
Tao Zhang ◽  
Jiafeng Zhang ◽  
Bartley P. Griffith ◽  
Zhongjun J. Wu
Keyword(s):  
Experimental Data ◽  
Carbon Dioxide ◽  
Fiber Bundle ◽  
Cfd Modeling ◽  
Design Parameters ◽  
Model Parameters ◽  
Transfer Rates ◽  
Design And Optimization ◽  
Model Based ◽  
Model Predictions

Abstract Blood oxygenators, also known as artificial lungs, are widely used in cardiopulmonary bypass surgery to maintain physiologic oxygen (O2) and carbon dioxide (CO2) levels in blood, and also serve as respiratory assist devices to support patients with lung failure. The time- and cost-consuming method of trial and error is initially used to optimize the oxygenator design, and this method is followed by the introduction of the computational fluid dynamics (CFD) that is employed to reduce the number of prototypes that must be built as the design is optimized. The CFD modeling method, while having progress in recent years, still requires complex three-dimensional (3D) modeling and experimental data to identify the model parameters and validate the model. In this study, we sought to develop an easily implemented mathematical models to predict and optimize the performance (oxygen partial pressure/saturation, oxygen/carbon dioxide transfer rates, and pressure loss) of hollow fiber membrane-based oxygenators and this model can be then used in conjunction with CFD to reduce the number of 3D CFD iteration for further oxygenator design and optimization. The model parameters are first identified by fitting the model predictions to the experimental data obtained from a mock flow loop experimental test on a mini fiber bundle. The models are then validated through comparing the theoretical results with the experimental data of seven full-size oxygenators. The comparative analysis show that the model predictions and experimental results are in good agreement. Based on the verified models, the design curves showing the effects of parameters on the performance of oxygenators and the guidelines detailing the optimization process are established to determine the optimal design parameters (fiber bundle dimensions and its porosity) under specific system design requirements (blood pressure drop, oxygen pressure/saturation, oxygen/carbon dioxide transfer rates, and priming volume). The results show that the model-based optimization method is promising to derive the optimal parameters in an efficient way and to serve as an intermediate modeling approach prior to complex CFD modeling.

Sensing and Modeling Techniques for Micro and Nano Scale Transport

2006 ◽  
Author(s):  
Sung Jin Kim ◽  
Dong-Kwon Kim
Keyword(s):  
Heat Transfer ◽  
Averaging Method ◽  
Thermal Design ◽  
Flow Rates ◽  
Design And Optimization ◽  
Flow And Heat Transfer ◽  
Temperature Distributions ◽  
Modeling Techniques ◽  
Modeling Transport ◽  
Mass Flow Rates

In the present study, three types of micro-sensors developed for experimental investigation of fluid flow and heat transfer in microstructures are introduced. The micro-sensors can be used to measure temperature distributions at the surface of a microstructure and mass flow rates passing through it. It is followed by a description of a method for modeling transport phenomena in microstructures is introduced. The modeling technique, based on the averaging method, is illustrated in thermal design and optimization of a microstructure.

Creating a Calibrated CFD Model of a Midsize Data Center

2015 ◽  
Author(s):  
Zachary M. Pardey ◽  
James W. VanGilder ◽  
Christopher M. Healey ◽  
David W. Plamondon
Keyword(s):  
Data Center ◽  
Real Data ◽  
Measured Data ◽  
Cfd Modeling ◽  
Design Stage ◽  
Cfd Model ◽  
Modeling Techniques ◽  
Room Model ◽  
Tile Flow ◽  
Level Of Agreement

Calibrating a CFD model against measured data is the first step to successfully utilizing this technology for change-management and the optimization of an existing data center. To date, there has been very little published on this calibration process; more focus has been placed on the use of CFD at the design stage and the development of modeling techniques and solvers. Further, few studies which feature comprehensive comparisons of CFD-predicted and measured data have been published for real data centers, and many that have, demonstrated only modest agreement at best. This study provides another such comparison — for a 7,400 ft2 (687 m2), 138-rack, raised-floor facility. The goals of the study are to benchmark the level of agreement that can be practically obtained and also to investigate the level of modeling detail required. Additionally, specific practical advice covering both CFD modeling and experimental measurements is provided. A plenum-only CFD model is compared to measured tile airflow rates and a room-model, which uses measured tile flow rates as boundary conditions, is compared to temperatures measured at each rack inlet. The level of agreement is among the best published to date and demonstrates that a CFD model can be adequately calibrated against measured data and is of value for ongoing data center operation.

CFD Applications on Selective Catalytic NOx Reduction (SCR) Systems

2003 ◽  
Author(s):  
Jia Mi ◽  
Dan A. Pitsko ◽  
Tim Haskew
Keyword(s):  
Power Generation ◽  
Pressure Drop ◽  
Nox Reduction ◽  
Measurement Data ◽  
Cfd Modeling ◽  
Nox Emissions ◽  
Steam Power ◽  
Flow Models ◽  
Design And Optimization ◽  
Cfd Applications

For the last several years, CFD modeling has been successfully used in Southern Company as one of the design and analysis tools to provide engineering insight to retrofitting Selective Catalytic NOx Reduction (SCR) systems to coal-fired steam power generation plants. SCR technology is the most effective method for reducing NOx emissions by at least 75% ∼ 90%. This paper will summarize a few selected CFD applications that were proved to be essential in the SCR design and optimization processes. For validation purposes, some of the CFD results, such as pressure drop, were compared with the available measurement data from the scaled physical flow models. They generally agreed well.

High-Fidelity Computational Fluid Dynamics Modeling and Analysis of a Pressure Vessel-Pipe-Safety Valve System in Gas Service

2021 ◽  
Vol 143 (4) ◽  
Author(s):  
Chaoyong Zong ◽  
Fengjie Zheng ◽  
William Dempster ◽  
Dianjing Chen ◽  
Xueguan Song
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
System Design ◽  
Pressure Vessel ◽  
Safety Valve ◽  
Dynamic Responses ◽  
Body Motion ◽  
Cfd Modeling ◽  
High Fidelity ◽  
Design And Optimization

Abstract A pressurized vessel-pipe-safety valve (PVPSV) system is a common configuration for many energy management systems, and a better understanding of their dynamics is helpful for system design and optimization. In this paper, a method for high-fidelity computational fluid dynamics (CFD) modeling is presented, which can be used to predict dynamic responses of PVPSV systems. For modeling, regions from the vessel outlet to the safety valve exit flange are modeled using a CFD approach; the pressure vessel is set as the boundary and the movement of the valve disk is represented by a one-dimensional (1D) rigid body motion model. Simulations are performed, and both stable and unstable operation are investigated. To establish accuracy, an experimental test rig is designed and constructed to measure the motion of the valve disk and the pressures at different system locations. Comparisons are performed for different dynamic modes and good agreement is obtained, supporting the accuracy of the high-fidelity model in reproducing the dynamic response of PVPSV systems. With the developed model, influences of other variables, such as piping length and safety valve configurations, can also be evaluated. The method presented in this paper can also be used to develop CFD models for other similar systems and should facilitate system design and optimization.

Multidisciplinary Design and Optimization for Fluid-Structure Interactions

2002 ◽  
Author(s):  
Franco Mastroddi ◽  
Claudia Bonelli ◽  
Luigi Morino ◽  
Giovanni Bernardini
Keyword(s):  
Incompressible Flow ◽  
Multidisciplinary Optimization ◽  
Multidisciplinary Design ◽  
Preliminary Design ◽  
Fluid Structure Interactions ◽  
Design And Optimization ◽  
Induced Drag ◽  
Introductory Overview ◽  
Modeling Techniques ◽  
Numerical Formulation

The paper presents an introductory overview of modeling techniques used by the authors for MDO–PD (MultiDisciplinary Optimization – Preliminary Design). The algorithms used by the authors in their MDO–PD code for modeling aerodynamics and aeroelasticity are reviewed. For the aerodynamic analysis, a boundary–element potential–flow method is used (for simplicity, only the incompressible–flow formulation is presented). The methodology is geared specifically towards MDO–PD for civilian aircraft. The numerical formulation is applied to a specific, highly–innovative aircraft configuration proposed by Frediani, which has, as a distinguishing feature, a low induced drag. A comparison with an MDO-PD of a standard wing configuration has been included.

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