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18 results for “forward flight”
Large eddy simulation of a quadcopter in forward flight: aeroloads and wake
<p>This dataset contains model information and results of large eddy simulation of a quadcopter in forward flight. The simulations were performed using the Vortex Particle-Mesh method. The study uses a generic model with a blade and airframe geometry inspired from a DJI drone. One flight condition is considered, with the vehicle at a forward speed of 10 m/s and at a pitch angle of 13 degrees. The results of two cases are available: 1) a simulation of the full model (comprising 4 rotors and the airframe); 2) a simulation of the rotors only (no airframe included).</p> <p>The data contains a description of the airframe (CAD files), a description of the blades, the resulting aeroloads on the blades and airframe (for each case), the time-resolved velocity and vorticity field in a cross-section of the wake (for each case), and supporting material for the companion article:</p> <blockquote> <p>D.-G. Caprace, A. Ning, P. Chatelain, G. Winckelmans, Effects of rotor-airframe interaction on the aeromechanics and wakes of a quadcopter in forward flight, 2022</p> </blockquote>
Figure 14 in Computational investigation of cicada aerodynamics in forward flight
Figure 14. Vortex structure at the end of downstroke (coloured by unified spanwise vorticity, colour max/min ¼ ±4). (Online version in colour.)
Figure 13 in Computational investigation of cicada aerodynamics in forward flight
Figure 13. Transverse plane cut at mid-downstroke. (a) Cut through wing and body and (b) cut through the near wake (no wings or body being cut). (i) Contour of the Q-criterion, velocity vector and two-dimensional streamline seen from the back view. (ii) Vortex structure (Q ¼ 20), and the velocity vector. The view angle is different from that in column (i), and is adjusted to give a better view of the vortex structure. The velocity vectors are three dimensional, and are drawn at every three grid points only. (Online version in colour.)
Figure 11 in Computational investigation of cicada aerodynamics in forward flight
Figure 11. Force generation in one stroke. (a) Total force (FXT, FYT, FZT) is composed of forces from wings in both sides and the cicada body. (b) Force generated by the right wings and the body. (Online version in colour.)
Figure 9 in Computational investigation of cicada aerodynamics in forward flight
Figure 9. Leading edge vortex at the mid-downstroke, coloured by the spanwise vorticity. (Online version in colour.)
Figure 12 in Computational investigation of cicada aerodynamics in forward flight
Figure 12. Instantaneous specific power in a stroke cycle of cicada flight. (Online version in colour.)
Figure 6. Wing motion during a in Computational investigation of cicada aerodynamics in forward flight
Figure 6. Wing motion during a stroke. (a) Start of downstroke; (b) middownstroke; (c) start of upstroke; and (d) mid-upstroke.
Figure 8 in Computational investigation of cicada aerodynamics in forward flight
Figure 8. Streamline around the leading edge at mid-downstroke. Only the right wing is presented for a clearer view.
Figure 10 in Computational investigation of cicada aerodynamics in forward flight
Figure 10. Surface pressure distribution projected on the X-direction (left column) and the Y-direction (right column). (a) Mid-downstroke (Y – Z plane); (b) midupstroke (Y – Z plane); and (c) before the end of the upstroke (X – Y plane).
Figure 5 in Computational investigation of cicada aerodynamics in forward flight
Figure 5. Pitch angle (a) and effective angle of attack (aeff) of the forewing during downstroke and upstroke (a); aeff of the forewing over a full stroke cycle. The leading edge is denoted by a dot. The dotted line indicates the direction of the mean stroke plane (b). The downstroke is shaded. (Online version in colour.)
Figure 4 in Computational investigation of cicada aerodynamics in forward flight
Figure 4. Stoke angle (0° lateral, downstroke positive), deviation angle (upward positive) and pitch angle (rotation around wing span, smaller than 90° when leading edge is forward) for the forewing (a) and the hindwing (b). (Online version in colour.)
Figure 1 in Computational investigation of cicada aerodynamics in forward flight
Figure 1. Real cicada and its reconstruction. (a) Raw picture and (b) comparison of real and reconstructed cicada. (Online version in colour.)
Figure 2 in Computational investigation of cicada aerodynamics in forward flight
Figure 2. Polar coordinates defined by three Euler angles; the wing position shown here is at the mid-downstroke. (Online version in colour.)
Figure 3 in Computational investigation of cicada aerodynamics in forward flight
Figure 3. Body displacement of the cicada during forward flight, surface reconstructions were done for three strokes. (Online version in colour.)
Figure 15 in Computational investigation of cicada aerodynamics in forward flight
Figure 15. Lift production from this study and previous works on a robotic fruit fly wing. (a) Advanced rotation. (b) Delayed rotation. (Online version in colour.)
Figure 7 in Computational investigation of cicada aerodynamics in forward flight
Figure 7. (a – f) Time course of vortex development, visualized by the Q-criterion. The left and middle columns are back view and top view, respectively, and the vortex structures are coloured by spanwise vorticity. The right column shows the structures in projection view, coloured by streamwise vorticity. Colour bars in the first row apply to figures in the same column.
Data from: Three-dimensional simulation for fast forward flight of a calliope hummingbird
We present a computational study of flapping-wing aerodynamics of a calliope hummingbird (Selasphorus calliope) during fast forward flight. Three-dimensional wing kinematics were incorporated into the model by extracting time-dependent wing position from high-speed videos of the bird flying in a wind tunnel at 8.3 m s−1. The advance ratio, i.e. the ratio between flight speed and average wingtip speed, is around one. An immersed-boundary method was used to simulate flow around the wings and bird body. The result shows that both downstroke and upstroke in a wingbeat cycle produce significant thrust for the bird to overcome drag on the body, and such thrust production comes at price of negative lift induced during upstroke. This feature might be shared with bats, while being distinct from insects and other birds, including closely related swifts.
Data from: Three-dimensional simulation for fast forward flight of a calliope hummingbird
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