scholarly journals CFD (Computational Fluid Dynamics) Modeling on Narasena Bengawan UV Team Quickster UAV Wings with Addition of Vortex Generator to Aerodynamic Performance

2021 ◽  
Vol 20 (2) ◽  
pp. 77
Author(s):  
Mohammad Fahmi Luthfi ◽  
Dominicus Danardono ◽  
Eko Budi Prasetya ◽  
Yudi Kurniawan

This research is based on obtaining the best possible aerodynamic performance for the Quickster Narasena Bengawan UV Team UAV aircraft wing design. One of the factors that greatly affects the flying performance of a UAV is the wing. The wing on the Quickster Narasena UAV aircraft uses an MH33 airfoil, because MH33 is specifically for high-speed UAV aircraft. This research will discuss the comparison of the performance of a wing without a vortex generator with a wing with a vortex generator. Variations in the positioning of the vortex generator on the wing of the Quickster Narasena UAV will also be discussed in this study. The method used in this research is the CFD (Computational Fluid Dynamics) method. The simulation process will use the ANSYS Fluent 19.0 application with the K-Omega SST method with the Reynolds-Averaged-Navier-Stokes (RANS) equation as the basis. The purpose of this study is to obtain the results of the coefficient of drag, lift, and the contour of the turbulence that will occur. The simulation results that have been done are the geometry of the wing with the addition of a vortex generator can reduce the drag coefficient and can increase the lift coefficient.

RSC Advances ◽  
2021 ◽  
Vol 11 (21) ◽  
pp. 12531-12531
Author(s):  
Junjie Chen ◽  
Xuhui Gao ◽  
Longfei Yan ◽  
Deguang Xu

Retraction of ‘Computational fluid dynamics modeling of the millisecond methane steam reforming in microchannel reactors for hydrogen production’ by Junjie Chen et al., RSC Adv., 2018, 8, 25183–25200, DOI: 10.1039/C8RA04440F.


2018 ◽  
Vol 35 (9) ◽  
pp. 098101
Author(s):  
Shu-Zhe Mei ◽  
Quan Wang ◽  
Mei-Lan Hao ◽  
Jian-Kai Xu ◽  
Hong-Ling Xiao ◽  
...  

2010 ◽  
Author(s):  
Cynthia L. Rakowski ◽  
William A. Perkins ◽  
Marshall C. Richmond ◽  
John A. Serkowski

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