[案例分析]基于SU2的M6機翼流場計算報告
1. M6機翼
M6是ONERA設(shè)計的一種機翼模型。該模型在跨聲速條件下進行了一系列風洞試驗。試驗馬赫數(shù)在 0.7-0.92之間,攻角區(qū)間為度,雷諾數(shù)Re(參考長度為平均氣動弦長c)約為。盡管M6機翼幾何外形簡單,但是其涉及的跨聲速流動卻十分復(fù)雜,包含局部超音速流動、激波和邊界層分離等。M6機翼具備三維可壓縮流動的典型特征,因此被大量論文選為CFD代碼的驗證算例。本文以M6為測試算例,檢驗SU2在可壓縮流場模擬方面的計算效率和計算精度。
圖1M6機翼風洞試驗?zāi)P?/p>
M6是一種無扭曲的后掠機翼,其基本翼型為ONERA D section對稱翼型。M6機翼幾何外形和參數(shù)見圖2。試驗時,在7個展向截面上布置了壓力傳感器,測得的壓力數(shù)據(jù)可用于與計算結(jié)果進行對比。
展長b |
1.1963m |
平均氣動弦長c |
0.64607m |
前緣傾斜角 |
30.0 deg |
后緣傾斜角 |
15.8 deg |
圖2 M6機翼幾何外形及參數(shù)
2.網(wǎng)格生成
2.1 稀網(wǎng)格
稀網(wǎng)格為NASA網(wǎng)站上公開發(fā)布的一種C型結(jié)構(gòu)化網(wǎng)格。(https://www.grc.nasa.gov/www/wind/valid/m6wing/m6wing01/m6wing.x.fmt)該網(wǎng)格由4個網(wǎng)格塊組成,表1列出了各塊網(wǎng)格的節(jié)點分布,總共316932個網(wǎng)格點。
表1網(wǎng)格分區(qū)及節(jié)點分布
網(wǎng)格分區(qū) |
網(wǎng)格節(jié)點數(shù) |
網(wǎng)格量 |
1 |
25 x 49 x 33 | 40425 |
2 |
73 x 49 x 33 | 118041 |
3 |
73 x 49 x 33 | 118041 |
4 |
25 x 49 x 33 | 40425 |
2.2 密網(wǎng)格
密網(wǎng)格為CFL3d程序提供的M6算例結(jié)構(gòu)化網(wǎng)格。(https://cfl3d.larc.nasa.gov/Cfl3dv6/3DTestcases/ONERA_M6/ONERA_M6.tar.Z)該網(wǎng)格僅有1個網(wǎng)格塊,網(wǎng)格節(jié)點分布為i×j×k = 289×65×49,總共920465個網(wǎng)格點,網(wǎng)格量為稀網(wǎng)格的三倍。
2.3 SU2網(wǎng)格生成
稀網(wǎng)格和密網(wǎng)格均為plot3d格式,需要將其轉(zhuǎn)換為SU2求解器能夠讀取的網(wǎng)格存儲格式。我們采用Pointwise V18.1 R1軟件進行格式轉(zhuǎn)換。具體步驟如下:
(1)用文本編輯器(推薦采用notepad++)打開m6wing.x.fmt,將其中的逗號全部替換為空格,將文件保存為m6wing.x;
(2)打開Pointwise V18.1 R1軟件,導(dǎo)入網(wǎng)格;
(3)將求解器設(shè)置為SU2,并設(shè)置邊界條件;
(4)對網(wǎng)格進行旋轉(zhuǎn)、縮放等操作。
(5)導(dǎo)出su2格式文件。
3.SU2求解器簡介
SU2是一個用C ++和Python編寫的開源軟件工具集,通過采用先進的數(shù)值方法分析非結(jié)構(gòu)化網(wǎng)格上的偏微分方程(PDE)和PDE約束優(yōu)化問題。SU2早期主要用于是CFD和氣動外形優(yōu)化,目前已擴展到處理更一般的方程,如電動力學和化學反應(yīng)流動。在全球用戶和開發(fā)人員的不斷努力下,SU2現(xiàn)已成為計算科學領(lǐng)域的一個成熟工具,廣泛適用于航空、航天、航海、汽車和可再生能源行業(yè)。
SU2的主要能力包括:
基于非結(jié)構(gòu)網(wǎng)格的高保真度分析和基于伴隨的設(shè)計。
可壓縮和不可壓縮的Euler、NS和 RANS求解器。
用于電動力學、線彈性、熱方程、波動方程和熱化學非平衡的PDE求解器。
加速收斂技術(shù)(多網(wǎng)格,預(yù)處理等)。
基于連續(xù)伴隨方法獲取靈敏度信息。
自適應(yīng)、面向目標的網(wǎng)格細化和變形。
C ++面向?qū)ο竽K化程序設(shè)計。
MPI并行化。
用于自動化的Python腳本。
求解器配置文件(cfg)介紹
SU2求解器計算僅需提供兩個文件:后綴為su2的網(wǎng)格文件和后綴為cfg的配置文件。cfg文件包含流場計算所需的網(wǎng)格之外的全部信息。cfg文件一般通過對相關(guān)的CASE模板文件作適當修改得到。SU2程序根目錄下的config_template.cfg文件提供了詳細的配置信息。下面以馬赫數(shù)為0.84、攻角為3.06°、湍流模型為SST的計算工況為例,簡要介紹cfg文件如何編寫。
(1)問題定義
% ------------- DIRECT, ADJOINT, AND LINEARIZED PROBLEM DEFINITION ------------% % % Physical governing equations (EULER, NAVIER_STOKES, % WAVE_EQUATION, HEAT_EQUATION, FEM_ELASTICITY, % POISSON_EQUATION) PHYSICAL_PROBLEM= NAVIER_STOKES %不考慮粘性選EULER,考慮粘性選NAVIER_STOKES % % Specify turbulence model (NONE, SA, SA_NEG, SST) KIND_TURB_MODEL= SST %一般選一方程模型SA或兩方程模型SST % % Mathematical problem (DIRECT, CONTINUOUS_ADJOINT) MATH_PROBLEM= DIRECT %不做優(yōu)化選DIRECT % % Restart solution (NO, YES) RESTART_SOL= NO %重啟動計算選YES,同時需要在后面設(shè)置重啟動文件% Restart flow input file SOLUTION_FLOW_FILENAME |
(2)自由來流參數(shù)設(shè)置
% -------------------- COMPRESSIBLE FREE-STREAM DEFINITION --------------------% % % Mach number (non-dimensional, based on the free-stream values) MACH_NUMBER= 0.8395 %自由來流馬赫數(shù) % % Angle of attack (degrees, only for compressible flows) AOA= 0.0 %來流攻角,注意SU2定義X+為流向(機頭指向機尾方向),Y+為側(cè)向(翼展方向),Z+為法向(垂直于翼面的方向)。由于網(wǎng)格文件的Y軸和Z軸于SU2定義不同,所以需要將攻角(AOA)和側(cè)滑角(SIDESLIP_ANGLE)調(diào)換。 % % Side-slip angle (degrees, only for compressible flows) SIDESLIP_ANGLE= 3.06 %側(cè)滑角,在本次算例中,SIDESLIP_ANGLE值實際為攻角 % % Init option to choose between Reynolds (default) or thermodynamics quantities % for initializing the solution (REYNOLDS, TD_CONDITIONS) INIT_OPTION= REYNOLDS % REYNOLDS,根據(jù)雷諾數(shù)計算自由來流參數(shù);TD_CONDITIONS,根據(jù)溫度和密度參數(shù)計算自由來流參數(shù) % % Free-stream option to choose between density and temperature (default) for % initializing the solution (TEMPERATURE_FS, DENSITY_FS) FREESTREAM_OPTION= TEMPERATURE_FS %給定自由來流靜溫還是靜密度 % % Free-stream temperature (288.15 K by default) FREESTREAM_TEMPERATURE= 2.629383E+02 %自由來流靜溫值
% % Reynolds number (non-dimensional, based on the free-stream values) REYNOLDS_NUMBER= 11.72E6 %參考長度為REYNOLDS_LENGTH(單位米)的自由來流雷諾數(shù)(無量綱) % % Reynolds length (1 m by default) REYNOLDS_LENGTH= 0.64607 %雷諾數(shù)參考長度,單位:米 |
(3)氣體常數(shù)(一般不作修改)
% ---- IDEAL GAS, POLYTROPIC, VAN DER WAALS AND PENG ROBINSON CONSTANTS -------% % % Different gas model (STANDARD_AIR, IDEAL_GAS, VW_GAS, PR_GAS) FLUID_MODEL= STANDARD_AIR % % Ratio of specific heats (1.4 default and the value is hardcoded % for the model STANDARD_AIR) GAMMA_VALUE= 1.4 % % Specific gas constant (287.058 J/kg*K default and this value is hardcoded % for the model STANDARD_AIR) GAS_CONSTANT= 287.058 |
(4)粘性常數(shù)(一般不作修改)
% --------------------------- VISCOSITY MODEL ---------------------------------% % % Viscosity model (SUTHERLAND, CONSTANT_VISCOSITY). VISCOSITY_MODEL= SUTHERLAND % % Sutherland Viscosity Ref (1.716E-5 default value for AIR SI) MU_REF= 1.716E-5 % % Sutherland Temperature Ref (273.15 K default value for AIR SI) MU_T_REF= 273.15 % % Sutherland constant (110.4 default value for AIR SI) SUTHERLAND_CONSTANT= 110.4 |
(5)熱傳導(dǎo)常數(shù)(一般不作修改)
% --------------------------- THERMAL CONDUCTIVITY MODEL ----------------------% % % Conductivity model (CONSTANT_CONDUCTIVITY, CONSTANT_PRANDTL). CONDUCTIVITY_MODEL= CONSTANT_PRANDTL % % Laminar Prandtl number (0.72 (air), only for CONSTANT_PRANDTL) PRANDTL_LAM= 0.72 % % Turbulent Prandtl number (0.9 (air), only for CONSTANT_PRANDTL) PRANDTL_TURB= 0.90 |
(6)參考值設(shè)置
% ---------------------- REFERENCE VALUE DEFINITION ---------------------------% % % Reference origin for moment computation 力矩參考點 REF_ORIGIN_MOMENT_X = 0.00 REF_ORIGIN_MOMENT_Y = 0.00 REF_ORIGIN_MOMENT_Z = 0.00 % % Reference length for pitching, rolling, and yawing non-dimensional moment用于力矩系數(shù)計算的參考長度 REF_LENGTH= 0.64607 % % Reference area for force coefficients (0 implies automatic calculation) 用于升阻力系數(shù)計算的參考面積 REF_AREA= 0 % % Compressible flow non-dimensionalization (DIMENSIONAL, FREESTREAM_PRESS_EQ_ONE, % FREESTREAM_VEL_EQ_MACH, FREESTREAM_VEL_EQ_ONE) %流場計算結(jié)果的無量綱方式 REF_DIMENSIONALIZATION= FREESTREAM_VEL_EQ_ONE |
(7)邊界條件設(shè)置
% -------------------- BOUNDARY CONDITION DEFINITION --------------------------% % % Navier-Stokes wall boundary marker(s) (NONE = no marker) %物面邊界 MARKER_HEATFLUX= ( WING, 0.0 ) %遠場邊界 % Far-field boundary marker(s) (NONE = no marker) MARKER_FAR= ( FARFIELD ) %對稱邊界 % Symmetry boundary marker(s) (NONE = no marker) MARKER_SYM= ( SYMMETRY ) % % Marker(s) of the surface to be plotted or designed %標記用于后處理或設(shè)計的邊界 MARKER_PLOTTING= ( WING ) % % Marker(s) of the surface where the functional (Cd, Cl, etc.) will be evaluated %標記用于升阻力系數(shù)監(jiān)測的邊界 MARKER_MONITORING= ( WING ) |
(8)數(shù)值求解通用參數(shù)
% ------------- COMMON PARAMETERS DEFINING THE NUMERICAL METHOD ---------------% % % Numerical method for spatial gradients (GREEN_GAUSS, WEIGHTED_LEAST_SQUARES) %梯度計算方法 NUM_METHOD_GRAD= GREEN_GAUSS % % Courant-Friedrichs-Lewy condition of the finest grid %最密層網(wǎng)格上的CFL數(shù) CFL_NUMBER= 25.0 % % Adaptive CFL number (NO, YES) %是否采用自適應(yīng)CFL CFL_ADAPT= NO % % Parameters of the adaptive CFL number (factor down, factor up, CFL min value, % CFL max value ) CFL_ADAPT_PARAM= ( 1.5, 0.5, 25.0, 100000.0 ) % % Runge-Kutta alpha coefficients %RK方法系數(shù) RK_ALPHA_COEFF= ( 0.66667, 0.66667, 1.000000 ) % % Number of total iterations %最大迭代步數(shù) EXT_ITER= 999999 |
(9)迭代參數(shù)
% ------------------------ LINEAR SOLVER DEFINITION ---------------------------% % % Linear solver for the implicit (or discrete adjoint) formulation (BCGSTAB, FGMRES) %迭代方法 LINEAR_SOLVER= FGMRES % % Preconditioner of the Krylov linear solver (NONE, JACOBI, LINELET) LINEAR_SOLVER_PREC= ILU % % Min error of the linear solver for the implicit formulation LINEAR_SOLVER_ERROR= 1E-6 % % Max number of iterations of the linear solver for the implicit formulation LINEAR_SOLVER_ITER= 65 |
(10)多重網(wǎng)格參數(shù)
% -------------------------- MULTIGRID PARAMETERS -----------------------------% % % Multi-Grid Levels (0 = no multi-grid) %采用幾重網(wǎng)格 MGLEVEL= 0 % % Multi-grid cycle (V_CYCLE, W_CYCLE, FULLMG_CYCLE) MGCYCLE= V_CYCLE % % Multi-grid pre-smoothing level MG_PRE_SMOOTH= ( 1, 1, 1, 1 ) % % Multi-grid post-smoothing level MG_POST_SMOOTH= ( 0, 0, 0, 0 ) % % Jacobi implicit smoothing of the correction MG_CORRECTION_SMOOTH= ( 0, 0, 0, 0 ) % % Damping factor for the residual restriction MG_DAMP_RESTRICTION= 0.7 % % Damping factor for the correction prolongation MG_DAMP_PROLONGATION= 0.7 |
(11)流場計算數(shù)值格式
% -------------------- FLOW NUMERICAL METHOD DEFINITION -----------------------% % % Convective numerical method (JST, LAX-FRIEDRICH, CUSP, ROE, AUSM, HLLC, % TURKEL_PREC, MSW) %對流項格式 CONV_NUM_METHOD_FLOW= JST % % Spatial numerical order integration (1ST_ORDER, 2ND_ORDER, 2ND_ORDER_LIMITER) %重構(gòu)格式 MUSCL_FLOW= YES % % Slope limiter (NONE, VENKATAKRISHNAN, VENKATAKRISHNAN_WANG, % BARTH_JESPERSEN, VAN_ALBADA_EDGE) %限制器 SLOPE_LIMITER_FLOW= VENKATAKRISHNAN % % Coefficient for the Venkat's limiter (upwind scheme). A larger values decrease % the extent of limiting, values approaching zero cause % lower-order approximation to the solution (0.05 by default) VENKAT_LIMITER_COEFF= 0.05 % % 2nd and 4th order artificial dissipation coefficients for % the JST method ( 0.5, 0.02 by default ) %JST格式系數(shù) JST_SENSOR_COEFF= ( 0.5, 0.02 ) % % Time discretization (RUNGE-KUTTA_EXPLICIT, EULER_IMPLICIT, EULER_EXPLICIT) %時間推進格式 TIME_DISCRE_FLOW= EULER_IMPLICIT % % Relaxation coefficient RELAXATION_FACTOR_FLOW= 0.95 |
(12)湍流計算數(shù)值格式
% -------------------- TURBULENT NUMERICAL METHOD DEFINITION ------------------% % % Convective numerical method (SCALAR_UPWIND) %湍流對流項格式 CONV_NUM_METHOD_TURB= SCALAR_UPWIND % % Monotonic Upwind Scheme for Conservation Laws (TVD) in the turbulence equations. % Required for 2nd order upwind schemes (NO, YES) %湍流重構(gòu)格式 MUSCL_TURB= NO % % Slope limiter (VENKATAKRISHNAN, MINMOD) %限制器 SLOPE_LIMITER_TURB= VENKATAKRISHNAN % % Time discretization (EULER_IMPLICIT) %湍流項推進格式 TIME_DISCRE_TURB= EULER_IMPLICIT |
(13)收斂準則
% --------------------------- CONVERGENCE PARAMETERS --------------------------% % % Convergence criteria (CAUCHY, RESIDUAL) % CONV_CRITERIA= CAUCHY % % Residual reduction (order of magnitude with respect to the initial value) RESIDUAL_REDUCTION= 8 % % Min value of the residual (log10 of the residual) RESIDUAL_MINVAL= -12 % % Start convergence criteria at iteration number STARTCONV_ITER= 10 % % Number of elements to apply the criteria CAUCHY_ELEMS= 100 % % Epsilon to control the series convergence CAUCHY_EPS= 1E-6 % % Function to apply the criteria (LIFT, DRAG, NEARFIELD_PRESS, SENS_GEOMETRY, % SENS_MACH, DELTA_LIFT, DELTA_DRAG) CAUCHY_FUNC_FLOW= DRAG CAUCHY_FUNC_ADJFLOW= SENS_GEOMETRY |
(14)輸入輸出設(shè)置
% ------------------------- INPUT/OUTPUT INFORMATION --------------------------% % % Mesh input file %網(wǎng)格輸入文件 MESH_FILENAME= M6-SU2-909K.su2 % % Mesh input file format (SU2, CGNS, NETCDF_ASCII) %網(wǎng)格格式 MESH_FORMAT= SU2 % % Mesh output file %網(wǎng)格輸出文件 MESH_OUT_FILENAME= mesh_out.su2 % % Restart flow input file %重啟動輸入文件 SOLUTION_FLOW_FILENAME= restart_flow.dat % % Restart adjoint input file %重啟動伴隨輸入文件 SOLUTION_ADJ_FILENAME= solution_adj.dat % % Output file format (PARAVIEW, TECPLOT, STL) %輸出文件格式 OUTPUT_FORMAT= TECPLOT_BINARY % % Output file convergence history (w/o extension) %輸出的殘差歷史文件 CONV_FILENAME= history % % Output file restart flow %輸出的重啟動文件 RESTART_FLOW_FILENAME= restart_flow.dat % % Output file restart adjoint %輸出的重啟動伴隨文件 RESTART_ADJ_FILENAME= restart_adj.dat % % Output file flow (w/o extension) variables %流場體數(shù)據(jù)輸出文件名 VOLUME_FLOW_FILENAME= flow % % Output file adjoint (w/o extension) variables VOLUME_ADJ_FILENAME= adjoint % % Output objective function gradient (using continuous adjoint) GRAD_OBJFUNC_FILENAME= of_grad.dat % % Output file surface flow coefficient (w/o extension) %邊界數(shù)據(jù)輸出文件 SURFACE_FLOW_FILENAME= surface_flow % % Output file surface adjoint coefficient (w/o extension) SURFACE_ADJ_FILENAME= surface_adjoint %文件輸出頻率 % Writing solution file frequency WRT_SOL_FREQ= 200 %殘差信息輸出頻率 % Writing convergence history frequency WRT_CON_FREQ= 1 % |
(15)外形優(yōu)化設(shè)計參數(shù)
% --------------------- OPTIMAL SHAPE DESIGN DEFINITION -----------------------% % % List of design variables (Design variables are separated by semicolons) % From 1 to 99, Geometrycal design variables. % - HICKS_HENNE ( 1, Scale | Mark. List | Lower(0)/Upper(1) side, x_Loc ) % - NACA_4DIGITS ( 4, Scale | Mark. List | 1st digit, 2nd digit, 3rd and 4th digit ) % - DISPLACEMENT ( 5, Scale | Mark. List | x_Disp, y_Disp, z_Disp ) % - ROTATION ( 6, Scale | Mark. List | x_Axis, y_Axis, z_Axis, x_Turn, y_Turn, z_Turn ) % - FFD_CONTROL_POINT ( 7, Scale | Mark. List | FFD_BoxTag, i_Ind, j_Ind, k_Ind, x_Mov, y_Mov, z_Mov ) % - FFD_DIHEDRAL_ANGLE ( 8, Scale | Mark. List | FFD_BoxTag, x_Orig, y_Orig, z_Orig, x_End, y_End, z_End ) % - FFD_TWIST_ANGLE ( 9, Scale | Mark. List | FFD_BoxTag, x_Orig, y_Orig, z_Orig, x_End, y_End, z_End ) % - FFD_ROTATION ( 10, Scale | Mark. List | FFD_BoxTag, x_Orig, y_Orig, z_Orig, x_End, y_End, z_End ) % - FFD_CAMBER ( 11, Scale | Mark. List | FFD_BoxTag, i_Ind, j_Ind ) % - FFD_THICKNESS ( 12, Scale | Mark. List | FFD_BoxTag, i_Ind, j_Ind ) % - FFD_VOLUME ( 13, Scale | Mark. List | FFD_BoxTag, i_Ind, j_Ind ) % From 100 to 199, Flow solver design variables. % - MACH_NUMBER ( 101, Scale | Markers List ) % - AOA ( 102, Scale | Markers List ) DEFINITION_DV= ( 1, 0.001 | airfoil | 0, 0.1 ); ( 1, 0.001 | airfoil | 0, 0.2 ) |
5.結(jié)果分析
5.1 OpenFOAM和SU2結(jié)果對比
(a) Z/b=0.20 |
(b)Z/b=0.44 |
(c) Z/b=0.65 |
(d)Z/b=0.80 |
(e) Z/b=0.90 |
(f) Z/b=0.95 |
|
|
(g)Z/b=0.99 |
圖3 M6機翼表面壓力分布SU2和OpenFOAM計算結(jié)果對比
圖4SU2計算殘差曲線
表2 SU2和OpenFOAM對比
求解器 |
SU2 |
OpenFOAM-rhoCentralFoam |
定常or非定常 |
定常 |
非定常 |
CFL數(shù) |
25 |
0.4 |
網(wǎng)格量 |
92萬 |
31萬 |
湍流模型 |
SST |
SST |
并行計算cpu個數(shù) |
48 |
24 |
計算時長 |
32小時 |
140小時 |
圖3展示了SU2和OpenFOAM兩種求解器計算的M6機翼表面壓力分布(Ma=0.84,AoA=3.06°)。可以看出兩種求解器獲得的壓力分布與試驗結(jié)果均符合較好。主要差異在于,OpenFOAM計算得到的兩個激波間距在靠近翼根處比試驗結(jié)果偏大(見圖3a和3b),SU2計算得到的兩個激波間距在靠近翼尖處比試驗結(jié)果偏小(見圖3c和3d)。
從計算效率上來說,OpenFOAM需要采用非定常計算求解可壓縮問題,受顯式時間推進格式影響,CFL數(shù)需控制在0.4以內(nèi),計算效率低。而SU2采用偽時間步計算定常方程,能夠采用較大的CFL數(shù),通過并行求解能在一天左右的時間得到收斂結(jié)果,降低收斂要求或采用多重網(wǎng)格方法還能大幅縮短計算時長,能夠滿足工程應(yīng)用需求。
5.2 網(wǎng)格密度影響
(a) Z/b=0.20 |
(b)Z/b=0.44 |
(c) Z/b=0.65 |
(d)Z/b=0.80 |
(e) Z/b=0.90 |
(f) Z/b=0.95 |
(g)Z/b=0.99 |
圖5 M6機翼表面壓力分布稀網(wǎng)格和密網(wǎng)格計算結(jié)果對比
圖5展示了SU2求解器分別采用稀網(wǎng)格和密網(wǎng)格計算的M6機翼表面壓力分布(Ma=0.84,AoA=3.06°)。可以看到網(wǎng)格加密有助于提高激波分辨率,進一步改善計算結(jié)果精度。
5.3 湍流模型影響
(a) Z/b=0.20 |
(b)Z/b=0.44 |
(c) Z/b=0.65 |
(d)Z/b=0.80 |
|
|
(e) Z/b=0.90 |
(f) Z/b=0.95 |
|
|
(g)Z/b=0.99 |
圖6 M6機翼表面壓力分布SA模型和SST模型計算結(jié)果對比
圖6展示了SU2求解器分別采用SA模型和SST模型計算的M6機翼表面壓力分布(Ma=0.84,AoA=3.06°)。可以看到,兩種模型的計算結(jié)果幾乎重合,僅在激波間斷區(qū)域附近有較小差異,表明兩種湍流模型都能較好地模擬M6機翼流場。
6.結(jié)論
(1)SU2采用偽時間步方法求解定常可壓縮問題,能夠采用較大的CFL數(shù),求解效率高,能夠滿足工程應(yīng)用需求。而OpenFOAM則顯式時間推進格式影響,計算效率低。
(2)增加網(wǎng)格密度,有助于提高激波分辨率,改善計算結(jié)果精度。
(3)SA湍流模型和SST湍流模型都能較好地模擬M6機翼流場。
7.附件
不同攻角、不同馬赫數(shù)下的M6機翼壓力分布計算與試驗結(jié)果對比
(a) Z/b=0.20 |
(b)Z/b=0.44 |
(c) Z/b=0.65 |
(d)Z/b=0.80 |
(e) Z/b=0.90 |
(f) Z/b=0.95 |
(g)Z/b=0.99 |
圖7 M6機翼表面壓力分布(Ma=0.70,AoA=3.06,密網(wǎng)格,SST模型)
(a) Z/b=0.20 |
(b)Z/b=0.44 |
(c) Z/b=0.65 |
(d)Z/b=0.80 |
(e) Z/b=0.90 |
(f) Z/b=0.95 |
(g)Z/b=0.99 |
圖8 M6機翼表面壓力分布(Ma=0.84,AoA=0,密網(wǎng)格,SST模型)
(a) Z/b=0.20 |
(b)Z/b=0.44 |
(c) Z/b=0.65 |
(d)Z/b=0.80 |
(e) Z/b=0.90 |
(f) Z/b=0.95 |
(g)Z/b=0.99 |
圖9 M6機翼表面壓力分布(Ma=0.84,AoA=1,密網(wǎng)格,SST模型)
(a) Z/b=0.20 |
(b)Z/b=0.44 |
(c) Z/b=0.65 |
(d)Z/b=0.80 |
(e) Z/b=0.90 |
(f) Z/b=0.95 |
(g)Z/b=0.99 |
圖10 M6機翼表面壓力分布(Ma=0.84,AoA=2,密網(wǎng)格,SST模型)
(a) Z/b=0.20 |
(b)Z/b=0.44 |
(c) Z/b=0.65 |
(d)Z/b=0.80 |
(e) Z/b=0.90 |
(f) Z/b=0.95 |
(g)Z/b=0.99 |
圖11 M6機翼表面壓力分布(Ma=0.84,AoA=3,密網(wǎng)格,SST模型)
(a) Z/b=0.20 |
(b)Z/b=0.44 |
(c) Z/b=0.65 |
(d)Z/b=0.80 |
(e) Z/b=0.90 |
(f) Z/b=0.95 |
(g)Z/b=0.99 |
圖12 M6機翼表面壓力分布(Ma=0.84,AoA=4,密網(wǎng)格,SST模型)
(a) Z/b=0.20 |
(b)Z/b=0.44 |
(c) Z/b=0.65 |
(d)Z/b=0.80 |
(e) Z/b=0.90 |
(f) Z/b=0.95 |
(g)Z/b=0.99 |
圖13 M6機翼表面壓力分布(Ma=0.84,AoA=5,密網(wǎng)格,SST模型)
(a) Z/b=0.20 |
(b)Z/b=0.44 |
(c) Z/b=0.65 |
(d)Z/b=0.80 |
(e) Z/b=0.90 |
(f) Z/b=0.95 |
(g)Z/b=0.99 |
圖14 M6機翼表面壓力分布(Ma=0.84,AoA=6,密網(wǎng)格,SST模型)
(a) Z/b=0.20 |
(b)Z/b=0.44 |
(c) Z/b=0.65 |
(d)Z/b=0.80 |
(e) Z/b=0.90 |
(f) Z/b=0.95 |
(g)Z/b=0.99 |
圖15 M6機翼表面壓力分布(Ma=0.88,AoA=3,密網(wǎng)格,SST模型)
(a) Z/b=0.20 |
(b)Z/b=0.44 |
(c) Z/b=0.65 |
(d)Z/b=0.80 |
(e) Z/b=0.90 |
(f) Z/b=0.95 |
(g)Z/b=0.99 |
圖16 M6機翼表面壓力分布(Ma=0.92,AoA=3,密網(wǎng)格,SST模型)
本文轉(zhuǎn)自微信公眾號:陸面體科技,感謝原作者。
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