槽壁几何参数对跨声速风洞流场品质的影响

doi:10.7527/S1000-6893.2015.0290

流体力学与飞行力学

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槽壁几何参数对跨声速风洞流场品质的影响

鞠炼¹, 白俊强¹, 郭斌¹, 崔晓春², 李兴龙²

1. 西北工业大学航空学院, 西安 710072;
2. 中国航空工业空气动力研究院, 沈阳 110034

收稿日期:2015-06-30 修回日期:2015-10-22 出版日期:2016-05-15 发布日期:2015-11-13
通讯作者: 白俊强,Tel.:029-88492694 E-mail:junqiang@nwpu.edu.cn E-mail:junqiang@nwpu.edu.cn
作者简介:鞠炼,男,硕士研究生。主要研究方向:飞机气动设计。Tel:029-88492174 E-mail:julemon@sina.com;白俊强,男,博士,教授,博士生导师。主要研究方向:飞行器设计。Tel:029-88492694 E-mail:junqiang@nwpu.edu.cn

Effect of geometry parameters on flow field quality in a transonic slotted wind tunnel

JU Lian¹, BAI Junqiang¹, GUO Bin¹, CUI Xiaochun², LI Xinglong²

1. School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China;
2. AVIC Aerodynamics Research Institute, Shenyang 110034, China

Received:2015-06-30 Revised:2015-10-22 Online:2016-05-15 Published:2015-11-13

摘要/Abstract

摘要：

采用数值模拟方法研究了再入片开角、槽腔扩开角和开槽形状对跨声速槽壁风洞流场品质的影响。在数值模拟方面,介绍了对应的出入口边界条件设置方法,通过量纲分析得出适用于内流问题的相似参数。研究结果表明:再入片关闭工况下,其前缘处形成了声速喉道,难以建立稳定的试验段超声速流场;再入片打开工况下,试验段流场的不利扰动主要来自于从驻室到试验段的槽壁出流现象,其根源是驻室涡系产生的垂直于槽壁方向的冲击气流,较大的槽腔扩开角对冲击气流有一定的阻挡作用。槽壁各部件对试验段流场品质的影响均是通过增强或抑制槽壁出流来实现的,其中开槽平面形状的影响尤为突出。采用基于自由变形(FFD)的优化设计方法得到了适用于试验段马赫数0.8到1.2状态的开槽形状,优化结果显示初始构型中存在的槽壁出流大部分得到消除,模型区马赫数均方差降低了一个量级,证明了该方法的合理性与实用性。

关键词: 槽壁, 跨声速风洞, 计算流体力学, 量纲分析, 边界条件, 优化

Abstract:

Numerical simulation method is applied to studying the effect of the re-entry flap angle, slot diverging angle and slot shape on the flow field quality in a transonic slotted wind tunnel. Boundary conditions at the inlet and outlet of the tunnel are introduced, and also, similarity parameters are obtained through dimensional analysis. The results show that a sonic throat will be formed at the leading edge if the re-entry flap is closed, leading to the inability to establish stable supersonic flow at the test section. When the re-entry flap is open, the slot outflow which comes from the plenum is the main disturbance source of the flow field and could be wakened with a larger slot diverging angle. All the components affect the flow field quality by strengthening or wakening the slot outflow while the slot shape is the most sensitive. An optimization approach based on free form deformation (FFD) method is adopted and therefore a slot shape which is applicable to cases from 0.8 to 1.2 Mach number in test section is obtained. Results of the optimization show that most of the slot outflow which occurs in the original configuration has been eliminated and the mean square error of Mach number distribution at the test section is reduced by an order of magnitude, proving that the optimization approach is reasonable and practicable.

Key words: slotted wall, transonic wind tunnels, computational fluid dynamics, dimensional analysis, boundary conditions, optimization

中图分类号:

V211.3

鞠炼, 白俊强, 郭斌, 崔晓春, 李兴龙. 槽壁几何参数对跨声速风洞流场品质的影响[J]. 航空学报, 2016, 37(5): 1440-1453.

JU Lian, BAI Junqiang, GUO Bin, CUI Xiaochun, LI Xinglong. Effect of geometry parameters on flow field quality in a transonic slotted wind tunnel[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2016, 37(5): 1440-1453.

参考文献

[1] 伍荣林, 王振羽. 风洞设计原理[M]. 北京:北京航空学院出版社, 1985:113. WU R L, WANG Z Y. Principle of wind tunnel design[M]. Beijing:Beijing Aeronautical University Press, 1985:113(in Chinese).
[2] WARD V G, WHITCOMB C F, PEARSON M D. Air-flow and power characteristics of the langley 16-foot transonic tunnel with slotted test section:NACA-RM_L52E01[R]. Washington, D.C.:NACA, 1952.
[3] LITTLE J B, CUBBAGE J J. The development of an 8-inch by 8-inch slotted tunnel for Mach numbers up to 1.28:NACA-RM-L55B08[R]. Washington, D.C.:NACA, 1955.
[4] WU J M, COLLINS F G, BHAT M K. Three-dimensional flow studies on a slotted transonic wind tunnel wall[J]. AIAA Journal, 1983, 21(7):999-1005.
[5] EVERHART J L, BOBBITT P J. Experimental studies of transonic flow field near a longitudinally slotted wind tunnel wall[M]. Hampton, Virginia:National Aeronautics and Space Administration, 1994:1-54.
[6] AGRELL N, PETTERSSON B, SEDIN Y. Numerical computations and measurements of transonic flow in a slotted-wall wind tunnel[C]//AIAA Applied Aerodynamics Conference, 5th. Monterey, California:AIAA, 1987:572-577.
[7] SEDIN Y, SORENSEN H. Computed and measured wall interference in a slotted transonic test section[J]. AIAA Journal, 1986, 24(3):444-450.
[8] KARISSON K R, SEDIN Y. Numerical design and analysis of optimal slot shapes for transonic test sections-Axisymmetric flows[J]. Journal of Aircraft, 1981, 18(3):168-175.
[9] KEMP J W. Computer simulation of a wind tunnel test section with discrete finite-length wall slots:NASA_CR_3948[R]. Hampton:Langley Research Center, 1986.
[10] RAMASWAMY M A, CORNETTE E S. Supersonic flow development in slotted wind tunnels[J]. AIAA Journal, 1982, 20(6):805-811.
[11] GLAZKOV S A, GORBUSHIN A R, IVANOV A I, et al. Numerical and experimental investigations of slot flow with respect to wind tunnel wall interference assessment[C]//24th AIAA Aerodynamic Measurement Technology and Ground Testing Conference. Reston:AIAA, 2004:1-15.
[12] 丛成华, 彭强, 王海锋. 槽壁试验段低超声速流场特性数值模拟[J]. 航空学报, 2010, 31(12):2302-2308. CONG C H, PENG Q, WANG H F. Numerical simulation on characteristics of slotted test section of low supersonic field[J]. Acta Aeronautica et Astronautica Sinica, 2010, 31(12):2302-2308(in Chinese).
[13] 汪伏波. 跨声速风洞槽壁试验段流动特性初步研究[D]. 绵阳:中国空气动力研究与发展中心, 2010. WANG F B. Preliminary research on flow characteristic of transonic wind tunnel slotted test section[D]. Mianyang:China Aerodynamics Research and Development Center, 2010(in Chinese).
[14] AL-J SAADI A. Wall interference and boundary simulation in a transonic wind tunnel with a discretely slotted test section:2003 Technical Report 94N15794[R]. Washington, D. C:NASA, 1993.
[15] ROE P L. Approximate Riemann solvers, parameter vectors, and difference schemes[J]. Journal of Computational Physics, 1981, 43(2):357-372.
[16] MENTER F R. Zonal two equation k-w turbulence models for aerodynamic flows:AIAA-1993-2906[R]. Reston:AIAA, 1993.
[17] MENTER F R. Two-equation eddy-viscosity turbulence models for engineering applications[J]. AIAA Journal, 1994, 32(8):1598-1605.
[18] HANCHE-OLSEN H. Buckingham's pi-theorem[J]. Mathematical Modeling, 2004, 1(1):2-7.
[19] SEDERBERG T W, PARRY S R. Free-form deformation of solid geometric models[J]. Acm Siggraph Computer Graphics, 1986, 20(4):151-160.
[20] DEB K, PRATAP A, AGARWAL S, et al. A fast and elitist multiobjective genetic algorithm:NSGA-II[J]. Evolutionary Computation, IEEE Transactions on, 2002, 6(2):182-197.
[21] BAYRAKTAR H, TURALIOGLU F S. A Kriging-based approach for locating a sampling site-in the assessment of air quality[J]. Stochastic Environmental Research and Risk Assessment, 2005, 19(4):301-305.

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槽壁几何参数对跨声速风洞流场品质的影响

Effect of geometry parameters on flow field quality in a transonic slotted wind tunnel

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