scholarly journals DESAIN AIRFOIL MENGGUNAKAN SOFTWARE CAEDIUM

2012 ◽  
Vol 17 (1) ◽  
pp. 10
Author(s):  
Wiji Mangestiyono
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Real Time ◽  
3D Model ◽  
Software System ◽  
Simulation Environment ◽  
3D Geometry ◽  
Computational Fluid Dynamics Cfd ◽  
Changes Over Time ◽  
Over Time

Wiji Mangestiyono, in paper airfoil design use caedium software explain that caedium and its add-ons combine to form an easy-to-use Computational Fluid Dynamics (CFD) software system that can help to assess the performance of  3D model. Using Caedium add-ons can create any 2D or 3D geometry or import geometry from another CAD package. Then simulate how a gas (e.g. air) or liquid (e.g. water) will flow over and through  geometry. Caedium is simple to learn and efficient to use. Every body can study how the physics of its model changes over time or as modify the model in real time. Caedium's unified simulation environment makes it easy to change the model on the fly and quickly see the results of the changes. Keywords : Caedium, Airfoil, Computation Fluid Dynamics

Initial Findings on the Feasibility of Real-Time Feedback Control of a Hazardous Contaminant Released Into Channel Flow by Means of a Laboratory-Scale Physical Prototype

2014 ◽  
Author(s):  
Sara P. Rimer ◽  
Nikolaos D. Katopodes ◽  
April M. Warnock
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Flow Control ◽  
Real Time ◽  
Public Spaces ◽  
Control Model ◽  
Toxic Chemicals ◽  
Current State ◽  
Physical Prototype ◽  
Computational Fluid Dynamics Cfd

The threat of accidental or deliberate toxic chemicals released into public spaces is a significant concern to public safety. The real-time detection and mitigation of such hazardous contaminants has the potential to minimize harm and save lives. We develop a computational fluid dynamics (CFD) flow control model with the capability of detecting and mitigating such contaminants. Furthermore, we develop a physical prototype to then test the computer model. The physical prototype is in its final stages of construction. Its current state, along with preliminary examples of the flow control model are presented throughout this paper.

Viability of OpenFOAM as the Numerical Engine for Augmented Reality Sandbox

2021 ◽  
Author(s):  
Elizabeth Smith
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Augmented Reality ◽  
Shallow Water ◽  
Open Source ◽  
Real Time ◽  
Numerical Algorithm ◽  
Saint Venant Equations ◽  
Dry Conditions ◽  
Computational Fluid Dynamics Cfd

Abstract Many augmented reality sandboxes use a single purpose implementation of standard numerical schemes to solve the Saint-Venant equations for shallow water in real time. This work evaluates the open-source computational fluid dynamics (CFD) package OpenFOAM as an alternative to the custom implementations traditionally used. Many sandboxes are used in educational and research settings and CFD engines with costly licensing was not desirable. The goal of this work is to identify or create an OpenFOAM solver that handles features such as dry conditions and complex topographies. The existing shallowWaterFoam solver was identified as the best candidate but required modification to handle scenarios representative of the target application. Replacing the existing custom numerical algorithm with the OpenFOAM software will more easily allow future incorporation additional phenomena.

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.

Improvement of real-scale raceway bioreactors for microalgae production using Computational Fluid Dynamics (CFD)

2021 ◽  
Vol 54 ◽  
pp. 102207
Author(s):  
Cristian Inostroza ◽  
Alessandro Solimeno ◽  
Joan García ◽  
José M. Fernández-Sevilla ◽  
F. Gabriel Acién
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Computational Fluid Dynamics Cfd ◽  
Real Scale

scholarly journals Design of Novel Flash Ironmaking Reactors for Greatly Reduced Energy Consumption and CO2 Emissions

Metals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 332
Author(s):  
Hong Yong Sohn ◽  
De-Qiu Fan ◽  
Amr Abdelghany
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Large Diameter ◽  
Reduction Reaction ◽  
The Novel ◽  
Height Ratio ◽  
Fine Iron ◽  
Computational Fluid Dynamics Cfd ◽  
High Reduction ◽  
Iron Ore Concentrate

The development of a novel ironmaking technology based on fine iron ore concentrate in a flash reactor is summarized. The design of potential industrial reactors for flash ironmaking based on the computational fluid dynamics technique is described. Overall, this simulation work has shown that the size of the reactor used in the novel flash ironmaking technology (FIT) can be quite reasonable vis-à-vis the blast furnaces. A flash reactor of 12 m diameter and 35 m height with a single burner operating at atmospheric pressure would produce 1.0 million tons of iron per year. The height can be further reduced by either using multiple burners, preheating the feed gas, or both. The computational fluid dynamics (CFD)-based design of potential industrial reactors for flash ironmaking pointed to a number of features that should be incorporated. The flow field should be designed in such a way that a larger portion of the reactor is used for the reduction reaction but at the same time excessive collision of particles with the wall must be avoided. Further, a large diameter-to-height ratio that still allows a high reduction degree should be used from the viewpoint of decreased heat loss. This may require the incorporation of multiple burners and solid feeding ports.

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