2018
DOI: 10.2514/1.c033808
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Aerodynamics and Conceptual Design Studies on an Unmanned Combat Aerial Vehicle Configuration

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Cited by 21 publications
(16 citation statements)
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References 23 publications
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“…Figure 3 shows a comparison of aerodynamic force and moment coefficients of the standard model. It can be seen that the calculation results have good agreement with the wind tunnel data or the reference data (Cummings et al 2016;, except for the pitching moment coefficient. As Fig.…”
Section: Research Objectsupporting
confidence: 60%
See 1 more Smart Citation
“…Figure 3 shows a comparison of aerodynamic force and moment coefficients of the standard model. It can be seen that the calculation results have good agreement with the wind tunnel data or the reference data (Cummings et al 2016;, except for the pitching moment coefficient. As Fig.…”
Section: Research Objectsupporting
confidence: 60%
“…Compared to the vortex lattice method results and the experimental data, the lift curve has a slightly higher slope and a minimal shift in the zero-lift angle. By comparison with the lift curve in Cummings et al (2016), the error caused by this method is acceptable in conceptual design of aircraft. The side force coefficients and the rolling and yawing moment coefficients are all zero, which are reasonable for the symmetrical geometry under symmetrical flow conditions.…”
Section: Research Objectmentioning
confidence: 99%
“…The presented paper deals with the computer-aided design of an S-shaped intake for the UCAV configuration created in the DLR project Mephisto [5]. For these investigations the automated optimizer AutoOpti is used, which needs an automated process chain for S-duct generation and meshing followed by 3D CFD and post-processing.…”
Section: Introductionmentioning
confidence: 99%
“…A CFD-CSM model with a DAKOTA gradient based optimization method is used to perform the optimization process. In 2016, Russell M. Cummings et al [2] introduced an aerodynamics and conceptual design studies on an unmanned combat aerial vehicle configuration by predicting both static and dynamic stability characteristics of air vehicles using computational fluid dynamics methods aiming to reduce the number of ground tests required to verify vehicle concepts. In this paper, a comprehensive study is introduced for extension kit and fins design optimization.…”
Section: Introductionmentioning
confidence: 99%