Aerodynamic-Aeroacoustic Optimization of a Baseline Wing and Flap Configuration
Source abstract
Abstract
Optimization design was widely used in the high-lift device design process, and the aeroacoustic reduction characteristic is an important objective of the optimization. The aerodynamic and aeroacoustic study on the baseline wing and flap configuration was performed numerically. In the current study, the three-dimensional Large Eddy Simulation (LES) equations coupled with dynamic Smagorinsky subgrid model and Ffowcs–William and Hawkings (FW–H) equation are employed to simulate the flow fields and carry out acoustic analogy. The numerical results show reasonable agreement with the experimental data. Further, the particle swarm optimization algorithm coupled with the Kriging surrogate model was employed to determine optimum location of the flap deposition. The Latin hypercube method is used for the generation of initial samples for optimization. In addition, the relationship between the design variables and the objective functions are obtained using the optimization sample points. The optimized maximum overall sound pressure level (OASPL) of far-field noise decreases by 3.99 dB with a loss of lift-drag ratio (L/D) of less than 1%. Meanwhile, the optimized performances are in good and reasonable agreement with the numerical predictions. The findings provide suggestions for the low-noise and high-lift configuration design and application in high-lift devices.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Aerodynamics and Acoustics in Jet Flows · Fluid Dynamics and Turbulent Flows · Aerodynamics and Fluid Dynamics Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory for Mechanics in Fluid Solid Coupling Systems, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China
College of Engineering Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Funding
Youth Innovation Promotion Association CAS · EU-China IMAGE project
References (43)
Show source-provided references
1. Almost 40 Years of Airframe Noise Research: What Did We Achieve?10.2514/1.44457 ↗
2. Envia, E., and Thomas, R. (2007). Recent Progress in Aircraft Noise Research. Aeronautics Research Mission Directorate (ARMD) Technical Seminar, NASA Glenn Research Center.
3. Choudhari, M.M., and Khorrami, M.R. (2006, January 9–12). Slat Cove Unsteadiness: Effect of 3D Flow Structures. Proceedings of the 44th AIAA Aerospace Sciences Meeting and Exhibit, Reno, NV, USA.10.2514/6.2006-211 ↗
4. Takeda, K., Ashcroft, G., Zhang, X., and Nelson, P. (2001, January 8–11). Unsteady aerodynamics of flap cove flow in a high-lift device configuration. Proceedings of the 39th Aerospace Sciences Meeting and Exhibition, Reno, NV, USA.10.2514/6.2001-707 ↗
5. Airframe Noise Component Interaction Studies10.2514/3.57880 ↗
6. Ahtye, W.F., Miller, W.R., and Meecham, W.C. (1979). Wing and Flap Noise Measured by Near- and Far-Field Cross-Correlation Techniques, AIAA.
7. Large scale model measurements of airframe noise using cross-correlation techniques10.1121/1.387530 ↗
8. Unsteady Flow Computations of a Slat with a Blunt Trailing Edge10.2514/2.892 ↗
9. Streett, C.L. (1998, January 12–15). Numerical Simulation of Fluctuations Leading to Noise in a Flap-Edge Flowfield. Proceedings of the 36th AIAA Aerospace Sciences Meeting and Exhibit, Reno, NV, USA.10.2514/6.1998-628 ↗
10. Radeztsky, R., and Singer, B. (1998, January 12–15). Detailed measurements of a flap side-edge flow fie. Proceedings of the 36th AIAA Aerospace Sciences Meeting and Exhibit, Reno, NV, USA.10.2514/6.1998-700 ↗
11. Rackl, R.G., Miller, G., Guo, Y., and Yamamoto, K. (2005). Airframe Noise Studies: Review and Future Direction, NASA.
12. Aeroacoustic simulation of the high-lift airfoil using hybrid reynolds averaged Navier-Stokes/high-order implicit large eddy simulation method10.7498/aps.68.20190777 ↗
13. Satti, R., Li, Y., Shock, R., and Noelting, S. (2008, January 5–7). Aeroacoustic Analysis of a High Lift Trapezoidal Wing Using Lattice Boltzmann Method. Proceedings of the 14th AIAA/CEAS Aeroacoustics Conference (29th AIAA Aeroacoustics Conference), Vancouver, BC, Canada.10.2514/6.2008-3048 ↗
14. Dong, T., Reddy, N., and Tam, C. (1999, January 10–12). Direct numerical simulations of flap side edge noise. Proceedings of the 5th AIAA/CEAS Aeroacoustics Conference and Exhibit, Bellevue, WA, USA.10.2514/6.1999-1803 ↗
15. Rakhshani, B., and Filippone, A. (2006, January 5–8). Noise from High-Lift Leading-Edge Device. Proceedings of the 24th AIAA Applied Aerodynamics Conference, San Francisco, CA, USA.10.2514/6.2006-3844 ↗
16. Application of Actuator Line Model for Large Eddy Simulation of Rotor Noise Control10.1016/j.ast.2020.106405 ↗
17. Wake-airfoil interaction as broadband noise source: A large-eddy simulation study10.1260/1475472053730093 ↗
18. Wagner, C., Hüttl, T., and Sagaut, P. (2007). Large-Eddy Simulation for Acoustics, Cambridge University Press.10.1017/CBO9780511546143 ↗
19. Optimization design of energy deposition on single expansion ramp nozzle10.1016/j.actaastro.2017.09.004 ↗
20. Effect of energy addition parameters upon scramjet nozzle performances based on the variance analysis method10.1016/j.ast.2017.08.033 ↗
21. On Sound Generated Aerodynamically I. General Theory
22. The Influence of Solid Boundaries Upon Aerodynamic Sound
23. Sound Generation by Turbulence and Surfaces in Arbitrary Motion
24. Zur Theorie der Lichtstrahlen10.1002/andp.18832540409 ↗
25. Bao, A.Y., Ding, C.W., Zhou, G.C., and Chen, B. (2020). Wind tunnel test study on aerodynamic noise control method of lifting device. Innovation and Development of Green Aviation Technology, Aviation Industrial Publishing House.
26. Analysis of aeroacoustics characteristics of high lift device using LES method
27. Giret, J.C., Sengissen, A., Moreau, S., Sanjosé, M., and Jouhaud, J.C. (2012, January 4–6). Prediction of the Sound Generated by a Rod-airfoil Configuration Using a Compressible Unstructured LES Solver and a FW-H Analogy. Proceedings of the 18th AIAA/CEAS Aeroacoustics Conference Colorado, Springs, CO, USA.10.2514/6.2012-2058 ↗
28. Study of a FWH-based permeable-surface formulation for propeller hydroacoustics10.1016/j.oceaneng.2021.109828 ↗
29. Xiao, Z., Zhu, W., and Fu, S. (2020). CFD/CAA analysis of noise generation, propagation and control. Innovation and Development of Green Aviation Technology, Aviation Industrial Publishing House.
30. Multi-objective design optimization of the combinational configuration of the upstream energy deposition and opposing jet for drag reduction in supersonic flows10.1016/j.ast.2020.105941 ↗
31. Optimization of the head shape of the CRH3 high speed train10.1007/s11431-010-4163-5 ↗
32. Adaptive Response Surface Method Using Inherited Latin Hypercube Design Points10.1115/1.1561044 ↗
33. Sensitivity analysis of geometric parameters upon the aerothermodynamic performances of Mars entry vehicle10.1016/j.ijheatmasstransfer.2017.12.073 ↗
34. Aerodynamic design for China new high-speed trains10.1007/s11431-012-4863-0 ↗
35. Response Surface Technique for Static Aeroelastic Optimization on a High-Aspect-Ratio Wing10.2514/1.42370 ↗
36. Factors that influence the value of the coefficient of determination in simple linear and nonlinear regression models10.1094/Phyto-77-63 ↗
37. Ghosh, S., and Rao, C.R. (1996). Computer experiments. Handbook of Statistics, Elsevier Science.
38. Computer experiments for quality control by parameter design10.1080/00224065.1990.11979201 ↗
39. Multi-Objective Optimization Design of Liftbody Aircraft Using Kriging Model10.1088/1742-6596/1985/1/012034 ↗
40. Multi-objective aerodynamic optimization design of high-speed train head shape10.1631/jzus.A1600764 ↗
41. The particle swarm optimization algorithm in size and shape optimization10.1007/s00158-002-0188-0 ↗
42. A novel hybrid gravitational search particle swarm optimization algorithm10.1016/j.engappai.2021.104263 ↗
43. A modified multi-objective sorting particle swarm optimization and its application to the design of the nose shape of a high-speed train