In view of the traditional aerodynamic optimization design without considering the effects of aerodynamic noise,the aerodynamic optimization design method based on noise prediction model was studied in the application of two-dimensional airfoil. The free deformation parametric method,radial basis function (RBF) mesh deformation technology,improved particle swarm optimization algorithm,pneumatic analysis method,and the aerodynamic noise prediction method for the optimization design,the five modules were established and formed a system. Finally,a single-point multi-objective optimization design of two-dimensional supercritical airfoil SC(2)-0714 was carried out. The effect of different airfoils geometry,pressure coefficient distribution,as well as the relationship between the aerodynamic coefficients and overall sound pressure level under different angles of attack were studied. The analysis showed that airfoil geometry could affect its head peak pressure,pressure recovery,adverse pressure gradient and other characteristics,which could change the lift-drag ratio and overall sound pressure level (SPL). And the adverse pressure gradient was closely related to overall SPL.Optimization results show that under the design condition the design system can significantly improve the lift-to-drag ratio,reduce the aerodynamic noise. It thus can be applied in practical engineering design.
[1] Bill Herkes, The Quiet Technology Demonstrator 2 Flight Test. The Aviation Noise & Air Quality Symposium, March 7, 2006.
[2] Werner Dobrzynski. Almost 40 Years of Airframe Noise Research-What did we achieve[R]. 14th Aeroacoustics Conference, 5-7 May, 2008.
[3] Bai J Q, Liu N, Qiu Y S, et al. Optimization of multi-foil based on RBF mesh deformation method and modified particle swarm optimization algorithm. Acta Aeronautica et Astronautica Sinica, 2013,34(12):2710-2715.(in Chinese)
白俊强,刘南等. 基于RBF动网格方法和改进粒子群优化算法的多段翼型优化[J]. 航空学报,Vol.34,2013.
[4] F. Palacios, J. J. Alonso, M. Colono. Adjoin-Based Method for Supersonic Aircraft Design using equivalent area distribution [R]. 50th AIAA Aerospace Sciences Meeting and Exhibit, 2012.
[5] Huang J T, Gao Z H, Bai J Q, et al. Study of robust winglet design based on arbitrary space shape FFD technique. Acta Aeronautica et Astronautica Sinica, 2013,34(1):37-45. (in Chinese)
黄江涛,高正红,白俊强,赵轲. 基于任意空间属性FFD技术的融合式翼梢小翼稳健型气动优化设计[J]. 航空学报,Vol.33,2012
[6] CHEN Song, BAI Junqiang, HUA Jun, et al.Application of Direct Manipulated FFD Technique in Airfoil Aerodynamic Optimization. Aeronautical Computing Technique,2013,43(1):40-43. (in Chinese)
白俊强,陈颂,华俊,孙智伟. 基于直接操作FFD技术的翼型气动优化设计[J]. 航空计算技术,2013.
[7] A. Fosso Pouangue, C. Mnasri. Parameterization and optimization of broadband noise for high-lift devices. 19th AIAA/CEAS Aeroacoustics Conference, May 27-29,2013.
[8] N. Bizzarrini, F. Grasso, D.P. Coiro. Numerical Optimization for High Efficiency, Low Noise Airfoils. AIAA Paper, AIAA-2011-3187.
[9] Sederberg. T. W, Parry.S.R. Free-Form Deform of Solid Geometric Models[J]. Computer Graphics. 151-160,August,1986.
[10] Allen C B, Rendall T C S. Unified Approach to CFD-CSD Interpolation and Mesh using Radial Basis Functions. AIAA Paper, AIAA 2007-3804.
[11] Li L, Niu B. The Particle Swarm Optimization Algorithm. Beijing: Metallurgical Industry Press. 2009,25-29.
[12] Howe, M.S. A Review of the Theory of Trailing Edge Noise. Journal of Sound and Vibration, Vol.61, No.3,1978.
[13] Brooks T F, POPE D S, MARCOLINI M A. Airfoil self-noise and prediction, USA[J]. Unknown, 1989, 1218.