/" / I _,j/' .... NASA-CR-202616 AIAA 94-0485 Application of a Third Order Upwind Scheme to Viscous Flow over Clean and Iced Wings A. Bangalore, N. Phaengsook and L. N. Sankar School of Aerospace Engineering Georgia Institute of Technology Atlanta, GA 32nd Aerospace Sciences Meeting & Exhibit January 10-13, 1994 / Reno, NV For permission to copy or republish, contact the Amedcsn Institute of Aeronautics and Astronautics 370 LT.nfant Promenade, S.W., Washington, D.C. 20024 APPLICATION OF ATHIRD ORDERUPWIND SCHEME TO VISCOUS FLOW OVERCLEAN AND ICED WINGS A. Bangalore 1,N.Phaengsook I and L N. Sinker2 School of Aerospace Engineering Georgia Institute of Technology, Atlanta, GA 30332 effects of turbulence. Rnaily, for the sake of computational ABSTRACT stability and efficiency, these methods used an implicit time-marching algorithm that permit the use of very large time steps. Reliable convergence to steady state in less A 3-D compressible Navier-Stokes solver has been than 1CPU hour ofcomputer time on a Cray Y/MP classof developed and applied to 3-D viscous flowover clean and computer, on • 100,000 point gdd. Reasonable correlation icedwings.This method uses athird order accurate finite was observed between the calculations and the measured volume scheme with flux difference splitting to model the data obtained byBragg and his=)workers [Ref. 4]. invtscld fluxes, and second order accurate symmetric differences to model the viscous terms. The effects of As these analyses were applied to a number of turbulenceare modeled using ak-¢model. Inthe vicinityof icedwingcalculations, two drawbacks ofthese approaches the solid walls, the k and = values are modeled using became apparent to the present investigators. Firstof all, Gorski'salgebraic model. Sample resultsare presented for the turbulence model used in these analyses is a simple eurface pressure distributions, for untapered swept clean algebraic eddy viscosity model, which uses the boundary and iced wings made of NACA 0012 airfoil sections. The layer thickness f> (or an equivalent quantity such as the leading edge of these sections ere modified using a distance from the wall, y) as the length scale of turbulent simulated ice shape. Comparisons with the experimental eddies. The algebraic model used the boundary layer edge data obtained byProf. Bragg stthe University of Illinoisare velocity U(x) (or an equivalent quantity y I¢olmax) as a given. measure of the velocity scale of turbulent eddies. Such a INTRODUCTION simple representation of turbulence works well only for simple attached or mildly separated flows. In the case of iced wings, the flow field contains boundary layer overthe The aerodynamic characteristics of liftingsurfaces solid surfaces, reversed flow regions, and a free shear such as wings and horizontal tails may be dramatically layer coming off sharp corners and turns associated with altered by the accumulation of ice over the leading edge. the iceshape. The turbulent length and velocity scales for Even l relatively small amount of ice accumulation may free shear layers are clearly different from the wall lead to dramatic rise in pressure drag, loss in lift, and in bounded flows. Use of a simple eddy viscosity model to tome cases, premature stall such complex flows lead to inaccurate results inregions of separation. For example, the length of the separation Under the support of the NASA Lewis Research bubble was often inaccurately predicted. Potapczuk has Center, a research effort has been underway at Georgia discussed the limitaUonsof the Baidwin-Lomax model, and Tech on the effects of icing on the aerodynamic has recommended phenomenological fixes to this model pedormance ofliftingsurfaces. Both2-D and 3-D analyses [Ref. 5]. have been developed, and calibrated [Ref. 1-3]. These analyses used relatively simple algorithms fo sofve the The second drawback of the previous analyses is compressible Navler-Stokes equations. For example, the irrecoverable filteringout and lossof information bythe standard second order accurate central differences are low-pass filters. These filters tend to smear out shock usedtomodel the derivatives inthe governing equations. A discontinuities, contact discontinuities, and shear layers. fourth order low-pass filter is used at every time step for The rate at which the filtering is applied is proportional to removing any high frequency spatial oscillations. These iul+a, where lulis the magnitude of localflow, and ais the analyses also used simple algebraic turbulence models speed ofsound. such as the Baldwin-Lomax model to account for the The present work Improves upon the existing 1Graduate Research Amiatant numerical analysis, presented in Ref. 3, and attempts to 2 ProfessorofAerospace Engineering, Senior Member rectify the above two drawbacks. It uses aflux difference AtAA. echeme, which dynamically and adaptively reduces the Copyright© 1994 by L N. Sinker, Publishedbythe smearing of contact discontinuities, and vorticity waves, Amedcan InstituteofAeronsutics andAstronautics, Inc. and leads to crisp resolution of free shear layer,; that arise pem n. in the flow [Fief. 6]. This method alsouses a sophisticated k-¢ model to account for the effects of turbulence. Inthe where the operators 6! etc. represent standard vicinity of solid wells, this model uses a set of central diflerences suchIs phenomenologically derived boundary conditionsfor kand ¢, Is described in Ref. 7. The improved analysis allows transition to be detected automatically by the solver as 61_ . ,.!,= ,-I,2 m_lons ofvery lowturbulent Idnaticenergy. (4) The Improved eolver hIs been applied to clean andloed, swept wing configurations tested by Prof. Bragg The numerical flux vector _ differs from the end hisoowod(em atthe University of Illinois,documented InthePh.D. dissertation ofKhodadoust [Ref. 8]. physical fluxvector F in • manner specified by Roe [Ref. 6]. Let qL andqR be two estimates tothe flow field vector The rest ofthispaper isorganized Is follows. First, q, to the left side end right side of the cell face (i+l/2,j,k). the Roe scheme is briefly outlined. Next, the k-¢ Then, formulation is described. Finally, several sample applications of the improved solver to iced wing analysis are presented I: ,.,,, . [;(q,) + ::(qR) +ITIAIT-'(q_ -q_) 2 2 MATHEMATICAL AND NUMERICAL FORMULATION where, The 3-D compressible Nsvier-Stokes equations are giveninaCartesian coordinate system as q.., - q, _ q,.2 - q.., 3 6 ...=.aa+0FaG aH 0R aS 0T at 8x ay & _ _ & (I) Here q isa vector of conserved flowproperties; F, qL = q, + q,-1- q, + q, - q,-i G and H are the inviscid flux vectors; R, S and T ere 3 6 viscous terms, which include the effects of turbulence {5) _lrough the eddy viscosityconcept. Hero T is a matrix that contains the left The calculations are carried out in • curvilinear eigenvectom of the matrix aF/aq, and A contains the body-fitted coordinate system (F,,n,f;).In thissystem, the eigenvalues of this matrix. Those quantities must be governing equations may bewritten as computedusingspecial *Roe" averages of qLandqR- It may be shown that the above estimates of qL and qR lead to s spatiallythird order aocurate formulation, ot a_ an a_ a_ a_ o_ on uniformgridsandon mildlystretched grids. (2) Equation (3) represents a system of non-linear where _ etc. ere related to their Cartesian Idgebralc equations forthe flow properties vectorq sttime level 'rH-l'. Furthermore, each node (i,j+l,k) iscoupled to counterparts bythe metrics oftransformation. its nine neighbors. Thus, this system of equations are The Roe Scheme: highly coupled. The classical Beam-Warming approximate fectorization scheme was used solve these coupled nonlinear equations, in• manner similar to that described The objective of the lime-marching algorithm is to inReference 1. advance the flow field at cells (or nodes (i,j,k) from • lime level 'n'tothe nexttime level 'n+l'. Forthis purpose, Inthe K-t Turbulence Model preeent work, equation (2) was discmtized Is follows: The starting point is the Bou=mesq assumption for the turbulent mtres_s. + "|" _.j.t + "n',,j.l + "_,"%l.k " At ..% 2 ÷ (3) ¢3Xj aXk 2 The tud)ulent vls(:os_ Pl has to modeled. This is turbulence field, and isnot needed during subsequent time steps. achieved by modeling two physically conceivable quantities, the turbulent kinetic energy k, and the dissipation rate e. The basic high Reynolds number K-E Near solid walls, the classical high Reynolds model integrates the followingtransportequations for kand number k-Emodel breaks down. In the present work, near the solid waU, the k and c were assumed to have the IL followingvariation: Dk __a (l_t_ ak +p_ k.Ay 3 Ok) ix z= constant Herer the constant A was evaluted using the D, computed values of k eswal nodes away from the solid surface. RESULTS AND DISCUSSION The turbulent production P,isgiven by: Nsvler-Stokes calculations were carded out using the flowsolver developed inthe previous section, for swept and unswept, untapered wing-alone geometries tested by Bragget at. The airfoil sections are made of NACA 0012 aldoil sections. The wing tested had a chord length of 15 inches and a semispan of 37.25 inches. To study the andthe turbulent viscosity _ is related to kand Eby" effects of icing, the leading edge was modified with a simulated ice shape. This ice shape corresponds to that k2 measured atthe NASA Lewis Icing Research Tunnel. Iors Ixt NACA 0012 airfoil, st a freestream velocity of 130 mph, £ angle of attack of 4 degrees, icing time of 4 minutes, volume median dropletdiameter of20 microns, liquidwater The basic k-zmodel constants am as follows. content of2.1.grams per cubic meter and • temperature of 18 degrees. Bragg's measurements were done at zero Cl_ -.09 sweep andata30 degree sweep. C] - 1.43 The calculations used a 121 x24 x45 grid, with91 C 2 - 1.92 points on the airfoil at each span station, 14 spanwise stations over the wing, and 45 points in the direction ok - 1.0 normal to the wing surface. Roughly s quarter of these pointsare inthe boundary layer region.Thus, the boundary 0z - 1.3 layer is only moderately resolved in these preliminary calculations. Figure 1shows the internallygenerated body- As inthe case of the Navier-Stokes equations, the fitted gridused inthe present simulations. Figure 2 shows k-t equations were cast on a curvilinear coordinate system a typicalairfoilcross section, forthe icedwing case. Inconservation form, and solved using an ADI procedure. The source terms appearing inthe kand Eequations were Calculations have been carded for at least 16 of lagged by one time step for simplicity. The turbulence the possible 32 combinations: swept and unswept, clean model equations were solved separately at the end of and iced, ingle of attack of 4 degrees and 8 degrees, Roe every time step, after the mean flow properties had been scheme and central difference scheme, Baldwin-Lomax computed. This resulted inthe solution of a 2 x 2 system model and k-_model. For the sake ofbrevity, only s small f_t may be efficientlysolved. subsetof_ calculations carried out are discussed herein detail. The starting values for k and z were obtained muming the flow to be tn equilibrium. That is, the Rgure 3 shows the surface pressure distribution producllon and dissipation terms inthe k-¢equations were for the clean wing at 8 degrees angle of attack st 3 let to be equal. This results in • system of simultaneous apanwtse locations, 42%, 56%, 72% end 89%. Inthese akjebr_c equations for k and ¢, which may be solved to calculations, "the Roe solver was used, and a Baldwin- initialize the turbulence field. These algebraic equations Lomax model was employed. Because of the increased Involve the eddy viscosity, which was computed using the operations counts associated with the Roe scheme, the Bak:lwin-Lomaxmodel. Note that the Baldwin-Lomax model calculations were typically 30% more expen.Q;veper grid was used onlyst the start ofthe calculationsto Initialize the 3 point, per time step, compared to the original central obtained for swept, clean and iced wing configurations. difference scheme. The Roe so_ver was alsos'dff,requiring Them issome additional overhead associated withthe Roe smaller time steps than the central difference scheme. scheme and the k-= model. Work is needed on Neverlhele_, celculaUons similartothose shown on figure Improvements to the algorithm to reduce the CPU time 8 could be obtained withthe Roe/Baldwin-Lomax solver in requirements. Additional systematic validation of the about 1500 Iterations, requiring about 90 minutes of CPU Improved flow solver is now underway, prior to its Wne on a Cray Y/MP system usinga single processor. adaptation for icedwing performance analysis. Figure 4 shows the Roe/k-t solver results tor the ACKNOWLEDGMENT lame Case. The results are comparable to the Baldwin- Lomax region,except near the leading edge region, where This work was supported by the NASA Lewis the Cp dletribution shows a small plateau, Indicative of a Research Center under Garnt NAG-3-768. Dr. Mark small amount of local separation. The k-t model behaved Potapczuk isthe technicalmonitor. well. The strong source terms cause the k-t equation set to be stiff. These equations were therefore solved using a REFERENCES smaller (local) time step than the basic flow equations. Upper and lower limits were placed on the kand ¢values, 1. Wu, Jiunn-Chi, "A Study of Unsteady Turbulent in orderto prevent the solver Irom diverging atthe start of Flow past Airfoils," Ph.D. Dissertation, Georgia Instituteof the calculations. The flow solver had no other user Technology, Atlanta, GA 1988. adiIj_table constants, and was run usingthe standard k-= constants described in the previous section. The final 2. Kwon, O. J., and Sankar, L. N., "Numerical Study results for the k and t fields were well withinthese upper of the Effects of Icingon Finite Wing Aerodynamics," AIAA lind lowerlimits.Thus, these limitsdo not affect the quality Paper 90-0757. of the final, converged solution. A typical k-¢ solution required about 2 hours of CPU time, on a Cray Y/tAP 3. Kwon, O. J. and Sankar, L.N., "Numerical Studyof system, using s single processor. Work is now underway the Effects of icing on Fixed and Rotary Wing on reducingU_; time requirement. Aerodynamics," AIAA paper 91-0662. Figure 5 shows the calculations and 4. Bragg, M. B. and Khodadoust, A., "Effects of measurements for the swept icedwing at 4degree angle of Simulated Glaze Ice on a Rectangular Wing," AIAA paper attack. In this case, the flow separates over the leading 89-0750. edge ice shape, and the pressure distribution forms a plateau. The Rce/k-t solverisseen to performsatisfactorily 5. Potapczuk, M., "Navier-stokes Analysis of Airfoils at allthe stations. Itisseen that the plateau over the upper with Leading Edge Ice Accretions," Ph. D. Dissertation, surface is well captured, while the plateau over the lower The University ofAkron, Akron, Ohio, 1989. surface is notcorrectly captured. The solutiondownstream of the plateau region is in excellent agreement with the 6. Roe," P. L., "Approximate Riemann Solvers, mea_urmllents. Parameter Vectors and Difference Schemes," Journal of Computational Physics, Vol. 43, 1981, pC)357-372. Rgure 6 shows some preliminary results for the 7. Gorsfd,J. J., "ANew Near-Wall Formulation forthe veloc_ field at selected chordwise locations, for the iced |wept wing. Bo_ the k-_results and the original algebraic k-t Equations of Turbulence," AIAA Paper 86.0556, 1986. model resultsare shown. The gridused inthese twocases was identical. It appears that the k-¢ model does I better 8. Khodadoust, A., "An Experimental Study of the Jobof predicting the velocity profile, both near the surface Row Field on a Semi-Span Wing with a Simulated Glaze end near the boundary layer edge. The grid used inthese Ice Accretion," Ph.D. Dissertation, University of Illinoisat two alrnulations was rather coarse inthe normal direction. Urbena-CharnpaJgn, 1993. Additional calculations on finer grids are needed, before one can conclusively say which turbulence model is performing better. Nevertheless, the improved agreement wnh_ k-cmodel is encouraging. CONCLUDING REMARKS An existing compressible Navler-stokse solver for dean and k_d wing analysis has been upgraded through the use ofstate of the art upwind difference schemes, end a two equation k-t model. Encouraging _ have been 4 Fig : 1Computational Grid (151X42X43) for iced wing with 300 sweep angle NI,Z _ g:lnBl"l'lanlCS o.,O I • Lmaim ..--. J striP( - -- f_TED t4WI Fig 2 : Simulated Glaze ice accretion 3 yb = 0.42 2.52 1.5 Cp 1 0.5 0 -0.5 0.4 0.6 0.8 1 -1 X/C Z.5 2 y/b = 0.72 1.5 I 0.5 0 O.Z -0.5 13 -I Z.5 y/b = 0.89 2 1.5 1 0.5 0 -0.5 -1 Figure 3. Surface pressure Distribution over a Clean Swept Wing at 8 Degree Angle of Attack, computed using Roe Scheme with Baldwin-Lomax Model, _ Theory, D Expt. 6 3 y/b =0.42 2.5 k-e Model 2 1.5 Cp 1 0.5 0 -0.5 -1 y/b =0.72 k-e model 2.5 2 y/'o= 0.89 k-e model 1.5 1 0.5 0 -0.5 -1 Figure 4..Surface Pressure Distribution over a clean Swept Wing using the Roe scheme and the k-c turbulence model, ....__ Theory, I'1 Expt 7 2 1.5 1 CpO.5 0 0.5 -0.5 X/C -1 2 y/b = 0.72 1.5 1 0.5 0 -0.5 -1 2 y/b = 0.89 1.51! 0.5 0 0.5 -0.5 -1 Figure 5. Surface Pressure Distribution over an Iced Swept Wing using the Roe scheme and the k-c turbulence model, _ Theory, n Expt 8 0.18 ,,,- a O.Z x/c = 0.04 B 0 16 -J- x/c= 0.04, k-e Model a O.15 Baldwin-Lomax Model 0114 .J. 0.1Z ..J. n y/c " o.1 oos 006 • ,_/1_,___,__jd_ D 0.04? __ -0.5 0.5 0 1 1.5 -O.S 0 0.5 1 uAJINF 0.12 0.2 x/c = 0.18, k-e Model x/c = 0.18 0.1 Baldwin-Lomax Model 0.15 0.08 0.06 0.1 0.04 0.05 0.0Z 0 0 0 0.5 1 0 0.5 I 1.5 0.14 0.Z x/c = 0.3, k-e model 0.1Z X/C= 0.3 Baldwin-Lomax Model 0.1 0.15 0.08 0.06 0.1 0.04 0.05 O.OZ 0 ! | -O.OZ 0.5 1 0 0 0.5 1 1.5 Figure 6. Velocity Profiles at a number of Stations for the Iced Swept Wing at 4 degrees Angle of Attack, _ Theory, D Expt 9