Computational Fluid Dynamics (CFD) and Physical Modeling as Design Tools for Evaluating Pump Stations

2010 ◽  
Vol 2010 (10) ◽  
pp. 6291-6305
Author(s):  
Thomas C. Demlow ◽  
Fangbiao Lin ◽  
Darren Shepherd
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Physical Modeling ◽  
Design Tools ◽  
Computational Fluid Dynamics Cfd ◽  
Pump Stations

Comparison Final Velosity Between Sailing Boat With a Rigid Airfoil and Cloth Sail

2006 ◽  
Author(s):  
H. Amini ◽  
M. Rad ◽  
A. Fakhraee
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Maximum Velocity ◽  
Design Tools ◽  
Hydrodynamic Calculation ◽  
Velocity Prediction ◽  
Computational Fluid Dynamics Cfd ◽  
Hull Forms ◽  
Sailing Boat ◽  
Experimental Equation

The powering requirement of a ship is one of the most important aspects of naval architecture. Traditionally, ships have been tested for hull resistance using hydrodynamic tank testing. But it is very time consuming, expensive, and has inherent scaling errors. Because of these reasons, today many vessels are sold on the market without any model testing. Another set of design tools are Computational Fluid Dynamics and parametric prediction. Computational Fluid Dynamics (CFD) codes are not yet wholly proven in its accuracy. Parametric predictions contain acquired data for a specific family of hull forms and use key hull parameters to evaluate a particular design. This tool is absolutely validating. In this work, parametric predictions tool has been used for velocity prediction of sailing boats and experimental equation has been used for hydrodynamic and aerodynamic calculation. However in this work from experimental equation from Delft towing tank has been used for hydrodynamic calculation but it is acceptable for more boats and ships. In this work velocity is predicted for a sailing boat with one rigid airfoil and sailing boat with cloth sailing. Rigid airfoil can control the velocity of boat. The maximum velocity occurred in 70 to 120 degree angle of courses. In Final stage, the velocity of boat is compared between sailing boat with rigid airfoil and cloth sail.

scholarly journals Numerical Simulation of Flow in Parshall Flume Using Selected Nonlinear Turbulence Models

Hydrology ◽  
2021 ◽  
Vol 8 (4) ◽  
pp. 151
Author(s):  
Mehdi Heyrani ◽  
Abdolmajid Mohammadian ◽  
Ioan Nistor
Keyword(s):  
Fluid Dynamics ◽  
Experimental Data ◽  
Numerical Simulation ◽  
Computational Fluid Dynamics ◽  
Standard Error ◽  
Physical Modeling ◽  
Hydraulic Structure ◽  
Turbulence Models ◽  
Computational Fluid Dynamics Cfd ◽  
The Right

This study uses a computational fluid dynamics (CFD) approach to simulate flows in Parshall flumes, which are used to measure flowrates in channels. The numerical results are compared with the experimental data, which show that choosing the right turbulence model, e.g., v2−f and LC, is the key element in accurately simulating Parshall flumes. The Standard Error of Estimate (SEE) values were very low, i.e., 0.76% and 1.00%, respectively, for the two models mentioned above. The Parshall flume used for this experiment is a good example of a hydraulic structure for which the design can be more improved by implementing a CFD approach compared with a laboratory (physical) modeling approach, which is often costly and time-consuming.

Applications of Computational Fluid Dynamics(CFD) in the Food Industry

2011 ◽  
Vol 236-238 ◽  
pp. 2273-2278 ◽  
Author(s):  
Hai Wei Ren ◽  
Yi Zhang
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Fluid Flow ◽  
Computer Technology ◽  
Physical Modeling ◽  
Food Industry ◽  
Process System ◽  
Model Fluid ◽  
Computational Fluid Dynamics Cfd ◽  
Thermal Sterilization

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.

Efficiency prediction for storage chambers using computational fluid dynamics

1996 ◽  
Vol 33 (9) ◽  
pp. 163-170 ◽  
Author(s):  
Virginia R. Stovin ◽  
Adrian J. Saul
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Shear Stress ◽  
Particle Tracking ◽  
Critical Value ◽  
Complex Geometries ◽  
Bed Shear Stress ◽  
Breadth Ratio ◽  
Computational Fluid Dynamics Cfd ◽  
Simulated Flow

Research was undertaken in order to identify possible methodologies for the prediction of sedimentation in storage chambers based on computational fluid dynamics (CFD). The Fluent CFD software was used to establish a numerical model of the flow field, on which further analysis was undertaken. Sedimentation was estimated from the simulated flow fields by two different methods. The first approach used the simulation to predict the bed shear stress distribution, with deposition being assumed for areas where the bed shear stress fell below a critical value (τcd). The value of τcd had previously been determined in the laboratory. Efficiency was then calculated as a function of the proportion of the chamber bed for which deposition had been predicted. The second method used the particle tracking facility in Fluent and efficiency was calculated from the proportion of particles that remained within the chamber. The results from the two techniques for efficiency are compared to data collected in a laboratory chamber. Three further simulations were then undertaken in order to investigate the influence of length to breadth ratio on chamber performance. The methodology presented here could be applied to complex geometries and full scale installations.

Sign in / Sign up

Export Citation Format

Share Document