scholarly journals Karakteristik Aerodinamika Pontoon Pesawat NXXX Versi Amfibi

2021 ◽  
Vol 12 (2) ◽  
pp. 475-485
Author(s):  
Andreas Maulana Irsabudi ◽  
◽  
Gaguk Jatisukamto ◽  
Hary Sutjahjono
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Cross Section ◽  
Step Height ◽  
Constant Cross Section ◽  
A Value ◽  
Computational Fluid Dynamics Cfd

Seaplanes are aircraft that can take off and landing on water. A seaplane’s requirement is its need to take off and landing on watery conditions which is equipped with a pontoon. Pontoon of a seaplane needs to be evaluated in terms of aerodynamics characteristics when a seaplane flies. The purpose of this study is to determine the correlation of various geometric combinations of deadrise angle, step height, and constant cross-section length with the values of coefficient of drag (CD), coefficient of lift (CL) and coefficient of moment (CM). The methodology was carried out by simulating Computational Fluid Dynamics (CFD) using OpenFOAM software. The results of this study could be concluded that deadrise angle affected coefficient of drag (CD), coefficient of lift (CL) and coefficient of moment (CM) with each value of 0.0055, 0.0044, -0.0036, while step height didn’t influence significantly on coefficient of drag (CD) and didn’t affect coefficient of lift (CL) and coefficient of moment (CM). Constant cross-section length didn’t affect significantly on coefficient of drag (CD) and coefficient of lift (CL) but increasing constant cross-section length increased coefficient of moment (CM) with a value of -0.0039.

scholarly journals Vortex Dynamics Study and Flow Visualization on Aircraft Model with Different Canard Configurations

Fluids ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 144
Author(s):  
Setyawan Bekti Wibowo ◽  
Budi Basuki ◽  
Sutrisno ◽  
Tri Agung Rohmat ◽  
Soeadgihardo Siswantoro ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Vortex Dynamics ◽  
Lift Force ◽  
Aerodynamic Forces ◽  
Force Coefficient ◽  
Fighter Aircraft ◽  
Vortex Interactions ◽  
A Value ◽  
Computational Fluid Dynamics Cfd

Canard configuration on fighter planes is essential for regulating flow and the occurrence of vortex interactions on the main wing, one of which is to delay stall. Stall delays are useful when the aircraft is making maneuvering or short-landing. This study observed the effect of canard configuration on various fighter aircraft models. Fighter models represented the different canard configurations, such as Sukhoi SU-30 MKI, Chengdu J-10, and Eurofighter Typhoon. Water tunnels and computational fluid dynamics (CFD) have made it easier to visualize the flow and aerodynamic forces. The results showed that at a low angle of attack (AoA) < 30°, the Chengdu J-10 and Eurofighter models had the highest lift force coefficient (Cl). When at high AoA, Cl’s highest value occurred on the Sukhoi SU-30 model with a value of 1.45 at AoA 50°. Meanwhile, the highest AoA that still had a high Cl value occurred on the Sukhoi SU-30 and Chengdu J-10 aircraft models, namely at AoA 55° with Cl values more than 1.1. The canard position in the upper of the wing would increase the Cl at low AoA, while the parallel canard position could delay the stall.

Steel Catenary Risers at Touchdown Zone: A Fluid Dynamics Approach to Understanding the Water-Riser-Soil Interaction

2012 ◽  
Author(s):  
Anup Fouzder ◽  
Arash Zakeri ◽  
Bipul Hawlader
Keyword(s):  
Fluid Dynamics ◽  
Numerical Simulation ◽  
Computational Fluid Dynamics ◽  
Velocity Field ◽  
Cross Section ◽  
Complex Phenomenon ◽  
Two Dimensional ◽  
Steel Catenary Risers ◽  
Computational Fluid Dynamics Cfd ◽  
Critical Location

The critical location for fatigue damage in Steel Catenary Riser’s (SCR’s) often occurs within the Touchdown Zone (TDZ), where cyclic interaction of the riser with the seabed takes place. Riser-fluid-soil interaction at the TDZ is a complex phenomenon. In this study, Computational Fluid Dynamics (CFD) technique is used to investigate the velocity field and suction forces during riser-fluid-soil interaction for a two-dimensional cross section of 0.10 m diameter SCR at TDZ. Numerical simulation shows that the suction forces at the bottom of the riser are high enough to pull the clay upward when it departs from the seabed during the heave action. The influence of suction and water on trench formation mechanism is discussed.

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
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