Papers
Contents
11.2. Papers#
11.2.1. An Analysis of Modeling Sensitivity Effects for High Lift Predictions using the Flow360 CFD Solver#
This paper presents the contribution of Flexcompute to the 4th High Lift Prediction Work- shop based on the Flow360 solver. The analysis of the high-lift prediction results is focused on four key areas: mesh sensitivity, turbulence modelling sensitivity, effect of cold- vs warm-starts and an examination of hysteresis effects. The mesh sensitivity study includes the use of different mesh topologies, families and levels of mesh refinement for the committee and non-committee provided grids. Through the analysis of the resolution of the different flow features recommen- dations are put forward regarding meshing for future workshops. Next, results are presented using different RANS-based turbulence models, with a focus on the eddy viscosity levels in the flow structures and separated flow predictions. Following, a detailed analysis is performed for comparing cold-starts versus warm-starts with a focus on comparing the differences in the skin friction and flow fields at each angle of attack. Hysteresis effects are also examined to estab- lish the effect of the initial condition on the solution. Finally, the best practice RANS results are analyzed in detail along with DES simulations with the aim to provide conclusions of the ability of RANS to predict high lift flows. The DES results were found to significantly improve the comparison with experimental data and showed high confidence in terms of achieving the correct answer for the right reasons.
11.2.2. Impact of the Propulsion Modeling Approach on High-Lift Force Predictions of Propeller-Blown Wings#
Distributed electric propulsion presents new opportunities to design aircraft which take advantage of the deliberate close interaction between propellers, wings, and flaps. Significant forces and moments arise which would not be well-captured by modeling the systems in isolation. The ability to accurately predict these forces is important for a number of new vehicle designs, including electric short takeoff and landing (eSTOL) aircraft which use the interaction between the propellers and wing/flaps to generate very high wing lift coefficients, if normalized by the flight speed. The flow field at the propellers is strongly influenced by the presence of the wing, and vice versa. This paper presents CFD analyses relevant to an eSTOL wing in a high-lift configuration, comparing four different approaches to modeling the propellers - an actuator disk, a steady and an unsteady blade element model, and a blade-resolved unsteady simulation. This is done in the Flow360 Navier-Stokes solver developed by Flexcompute. We begin with an isolated rotor, continue with a model problem that comprises a single rotor with behind it a section of wing and flap, and conclude with a full 3D configuration. The actuator disk is advantageous from a computational time point of view, but introduces error into the solutions because it cannot adapt to strongly varying local inflow conditions. The time-resolved simulations are expected to give the most accurate solutions, but are computationally expensive. An adaptive blade-element model gives a good compromise between accuracy and performance.
11.2.3. Flexcompute Contribution to the VIIth AIAA Drag Prediction Workshop#
This presentation presents the VIIth AIAA Drag Prediction Workshop cases results using the Flow360 solver. This includes a mesh convergence study, alpha sweep with static aeroelastic deflections and a Reynolds number study for the CRM wing-body configuration in transonic flow conditions. Comparisons are made with experimental data where available.
11.2.4. Rotor5: Rotor analysis under 5 hours using ultra-fast and high-fidelity CFD simulation and automatic meshing#
We introduce a novel workflow called Rotor5 to simplify and accelerate the traditional high-fidelity rotor simulations by integrating (1) CAD preparation (2) mesh generation and (3) CFD solver into an end-to-end process. We quantify the limitations of a popular low-fidelity rotor design tool called Xrotor and demonstrate the necessity of using a high-fidelity CFD solver such as Rotor5. Using both Xrotor and Rotor5, we investigate the tiltrotor XV-15 at two different flight conditions: (1) airplane propeller mode in forward flight and (2) helicopter hovering mode, where the fundamental limitations of low-fidelity Xrotor could cause a catastrophic design failure. A major cause for this is the tip vortex of the preceding blade.
11.2.5. Assessment of Detached Eddy Simulation and Sliding Mesh Interface in Predicting Tiltrotor Performance in Helicopter and Airplane Modes#
This paper presents numerical investigation on performance and flow field of the full-scale XV-15 tiltrotor in both helicopter mode (hovering flight and forward flight) and aeroplane propeller mode using Detached Eddy Simulation, in which the movement of the rotor is achieved using a Sliding Mesh Interface. Comparison of our CFD results against experiment data and other CFD results is performed and presented.
11.2.6. Aerodynamic Risk Assessment using Parametric, Three-Dimensional Unstructured, High-Fidelity CFD and Adaptive Sampling#
We demonstrate an adaptive sampling approach for computing the probability of a rare event for a set of three-dimensional airplane geometries under various flight conditions. We develop a fully automated method to generate parameterized airplanes geometries and create volumetric mesh for viscous CFD solution. With the automatic geometry and meshing, we perform the adaptive sampling procedure to compute the probability of the rare event. We show that the computational cost of our adaptive sampling approach is hundreds of times lower than a brute-force Monte Carlo method.