Overset CFD Technology Development and Application at the Boeing Company

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Overset CFD Technology Development and Application at the Boeing Company Jeffrey Slotnick Boeing Research & Technology, Huntington Beach, CA, USA 11 th Symposium on Overset Composite Grids and Solution Technology Dayton, OH, USA October 15 18, 2012

Acknowledgments Boeing Commercial Airplanes Jonathon Elliott, Emanuel Setiawan Boeing Defense, Space & Security Robert Narducci, Ted Meadowcroft, Leonel Serrano Boeing Research & Technology Mark DeHaan, Tony Sclafani, C.F. Shieh, Arvin Shmilovich, Eric Unger, C-J Woan, Yoram Yadlin 2

Outline Tool and Process Enhancements OVERGRID Scripting Utilities Automation Systems Preliminary Evaluation of OVERFLOW Adaptive Mesh Refinement (AMR) Technology Brief Survey of Overset Applications Rotorcraft Active Flow Control (AFC) Concluding Remarks 3

Enhancements to Overset Tools and Processes Addition of elliptic smoothing capability to OVERGRID (ELPGRD) Routines extracted from Boeing-developed grid generation code Surface smoothing only (at the moment) Four options: Laplace, Sorenson, Thomas-Middlecoff, Smooth Initial Can project to the surface 4

Enhancements to Overset Tools and Processes Addition of LEGRID capability to OVERGRID Hyperbolic grid generator with elliptic smoothing during marching procedure LEGRID v2.5b July 2012 Layout based directly on HYPGEN GUI with one additional input block for LEGRID-specific parameters Allows users the ability to quickly generate grids in a manual fashion 5

Enhancements to Overset Tools and Processes OVER_reflect Python script to automatically create a full-configuration grid system from a symmetric half-body grid system Requires pre-existing Chimera Grid Tools (CGT) configuration script that defines the half-body grid system Creates reflected, periodic, or full grids for the new configuration along with the appropriate (and properly indexed) *.ovfi files Provides appropriate modifications to config.tcl and inputs.tcl Creates/modifies box definitions within the inputs.tcl file as needed. Creates all new reflected and/or full-type HCUT information in the inputs.tcl file (The member, include, and exclude lists will be modified as appropriate.) Creates all new reflected and/or full-type manual holecutting information in the inputs.tcl file. 6

Enhancements to Overset Tools and Processes makecgt Python script to automatically create a base CGT script system from a preexisting grid system built manually IN DEVELOPMENT Requires an OVERFLOW grid.in, over.namelist, PEG5 input file, and (optionally) a mixsur input deck. The multi-block overflow grid is broken into single-block volume and surface grids which are placed into a /model directory. The grid names are set by the OVERFLOW input deck (and must correspond to the names in the PEG5 input deck). Both double and single precision grid files are accepted. An inputs.tcl file is created based on presumed defaults and information provided by the OVERFLOW and PEG5 input decks. Manual hole cutting directives in the PEG5 input deck are supported including the use of phantom surfaces (providing the phantom surfaces are supplied). A config.tcl file is created OVERFLOW input files for each grid (.ovfi) are created using the solver input deck with family names added based on (optionally) the mixsur input deck. Note that this can cause some solid wall to be split into multiple parts. Future enhancements: Improved family name functionality Volume mesh generation directly through the inputs.tcl file 7

Enhancements to Overset Tools and Processes Hift-Lift Pre-Processing for OVERFLOW (HiPPO) Process automation system (based on CGT grid scripting) used to generate production level OVERFLOW solutions from geometry through post-processing AGPS-based tools Support Fairings, etc. CASE.hip Geometry Processing Set-up/position airplane components into a high-lift configuration FLAP HiPPO Grid Merging Merging externally-generated grids into base grid system Surface Gridding Generate base CGT script (wing/body/nacelle/high-lift components) YAP Landing Gear, etc. Volume Gridding BuildVol HYPGEN, LEGRID, SPREAD Grid Connectivity BuildPeg5i Pegasus 5 Force Integration BuildMixsuri Polymixsur Flow Solver OVERFLOW (Best Practices) Post Processing Generate convergence, force analysis, and other standardized post-processing. 8

Enhancements to Overset Tools and Processes AutoNac Process automation system used to rapidly generate OVERFLOW-ready grid systems for modern transport airplane engine geometries, including pylon connectivity to main wing Designed for both powered and flow-thru nacelles Has been used on a wide array of production and advanced design engines Takes advantage of technology available in ICEMCFD 9

AutoNac Process CATIA Original geometry Generates zonal overset surface grids ICEMCFD BuildSurf CGT Scriptlib Tools Generates zonal volume grids BuildVol POLYMIXSUR Generates files for force integration Generates OVERFLOW and pegasus5 input files BuildPeg5i OVERFLOW Flow Solution Grid connectivity Pegasus5 Generates POLYMIXSUR input file BuildMixsuri 10

OVERFLOW AMR Efforts are underway to productionize (establish best practices and automate wherever possible) adaptive mesh refinement (AMR) technology in OVERFLOW Near-Body: Vortex Generator (VG) on a Flat Plate Off-Body: 777-200 High Lift Configuration 11

Vortex Generator (VG) on a Flat Plate AIAA Paper 2002-3160* *Allan, B. G, Yao, C. S., Lin, J. C., Numerical Simulations of Vortex Generator Vanes and Jets on a Flat Plate, June 2002. 4 3 2 1 NASA Langley 20x28-inch Shear Flow Tunnel Geometry and Flow Condition VG length = 2.8 VG height =0.4 VG alpha = 23 o Freestream Mach = 0.098 Fully turbulent boundary layer Velocity Data Particle Image Velocimetry (PIV) system Four stations: x = 6, 17, 27.3, 46.9 Vortex core position normalized by boundary layer height at station 1 (δ 1 = 1.77 ) and tracked as an increment from VG s base TE 1 2 3 4 12

VG on a Flat Plate Preliminary OVERFLOW Results 1 VG Box Grid X = 133.35 1 Coarse Box Grid Uniform Spacing in X and Y Flat Plate Grid Adaption Turned On in Box Grid pre- OVERFLOW 2.2e 13

Overset Grid Adaptation Evaluation of Off-Body Grid Adaptation for High-Lift 777-200 landing configuration Overset grid system generated using HiPPO automation package Wing/body/nacelle/pylon/vertical tail half-body configuration 152 zones, 47.2M points F30, flap and slats gapped (no spanwise seals) Flow thru engine (with chine) 14

Overset Grid Adaptation Evaluation of Off-Body Grid Adaptation for High-Lift Simulation Details: Used original component grids, but manually built overset domain connectivity using required x-ray hole-cutting technology available within OVERFLOW v2.2c Tested and applied x-ray logic extension to CGT script system developed at NASA JSC Replaced original user-generated box grids with OVERFLOW-generated offbody Cartesian grids (OFFBODY), and implemented near-body O-mesh strategy employed by NASA Ames on Trap Wing for the AIAA CFD High Lift Prediction Workshop (HiLiftPW-1) Removed all wakes (replaced wing trailing edge topology with O- mesh) Grew all component meshes out a constant distance (zreg) Set finest Cartesian mesh level explicitly (DS) Used undivided second-difference of the Q vector* as the gradient sensor (other option is vorticity) * Buning, P.G., and Pulliam, T. H., Cartesian Off-Body Grid Adaptation for Viscous Time-Accurate Flow Simulation, AIAA 2011-3693 15 EOT_RT_Template.ppt 15

Overset Grid Adaptation Evaluation of Off-Body Grid Adaptation for High-Lift Mach=0.2, α=approach, WT Reynolds number, SA turbulence model, 3 rd -order Roe upwind Test Cases: peg5 original grid system using current PEG5 hole-cutting method xrays zreg10 original near-body grids with outer boundaries at 10, OVERFLOWgenerated OFFBODY grids with DS=1.0 (10% of zreg) xrays zreg25 original near-body grids with outer boundaries at 25, OVERFLOWgenerated OFFBODY grids with DS=2.5 (10% of zreg) xrays zreg25 adapt25 original near-body grids with outer boundaries at 25, OVERFLOW-generated OFFBODY grids with DS=2.5 (10% of zreg), 8 cycles of adaptation every 25 iterations (200 total iterations) using default undivided second-difference sensor 16

Overset Grid Adaptation Evaluation of Off-Body Grid Adaptation for High-Lift Total Pressure Contours (Inboard Wing) PEG5 XRAYS zreg=25 Known issue with OFFBODY boxes greater than level=1 not being cut properly XRAYS Baseline XRAYS zreg=10 17

Overset Grid Adaptation Evaluation of Off-Body Grid Adaptation for High-Lift Total Pressure Contours (Inboard Wing) Level -1 Level 1 Level 2 XRAYS zreg=25 Adaptation (8 cycles) NREFINE = 1 18

Overset Grid Adaptation Evaluation of Off-Body Grid Adaptation for High-Lift Total Pressure Contours (Downstream of wing) PEG5 XRAYS zreg=25 XRAYS Baseline XRAYS zreg=10 19

Overset Grid Adaptation Evaluation of Off-Body Grid Adaptation for High-Lift Total Pressure Contours (Downstream of wing) PEG5 XRAYS zreg=25 XRAYS Baseline XRAYS zreg=25 Adaptation (8 cycles) 20

Overset Grid Adaptation Evaluation of Off-Body Grid Adaptation for High-Lift 777-200 OVERFLOW simulations obtained near stall with and without AMR at higher α Baseline approach (PEG5) shows difference of >10% in lift with test data 8 cycles of AMR (every 100 steps) yields difference of <1% in lift with test data Original Prediction Prediction w/ AMR Off-body flow features significantly better resolved with AMR Not enough grid PEG5 resolution to adequately resolve the chine vortex as it convects up and over the main wing XRAYS ADAPT 100 AMR automatically places isotropic Cartesian mesh cells in high gradient regions allowing for more accurate simulation of flow features 21

Overset Grid Adaptation Evaluation of Off-Body Grid Adaptation for High-Lift OVERFLOW AMR technology requires use of the X-ray method of overset grid mesh pre-processing As compared to the current PEGASUS 5 (PEG5) approach, the X-ray method is ~5X faster (GOOD!) However, the amount of user manual intervention required to use the X-ray method is significantly more (~3-5X greater) than using PEG5 (NOT SO GOOD) OVERFLOW AMR technology requires more computational resources to obtain a steady-state flow solution relative to the current overset grid CFD process: 22

Selected OVERFLOW Applications Rotorcraft Active Flow Control (AFC) 23

Rotor Icing Analyses with OVERFLOW OVERFLOW is loosely coupled with LEWICE3D to support ice growth performance degradation, and shedding analysis for rotor systems Shed Ice Trajectory Idealized Hub Ice Blade The rotor processes and analyses were funded by the Vertical Lift Consortium, formerly the Center for Rotorcraft Innovation and the National Rotorcraft Technology Center (NRTC), U.S. Army Aviation and Missile Research, Development and Engineering Center (AMRDEC) under Technology Investment Agreement W911W6-06-2-0002, entitled National Rotorcraft Technology Center Research Program. The authors would like to acknowledge that this research and development was accomplished with the support and guidance of the NRTC and VLC. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the AMRDEC or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation thereon. Predicted Ice Tracing Ice growth on a dynamically pitching blade NRTC/VLC Project: High Fidelity Icing Analysis and Validation for Rotors (WBS No. 2012-B-11-T1.1-P2)

Application of Coupled CFD-CSM to Rotor Design for Performance and Loads CFD airloads on the 6-DOF elastically deforming rotor are computed and communicated to CSD for full aircraft trim and dynamics response. Boeing Model 360 Coupled OVERFLOW- RCAS Codes Performance CFD-CSD Loads The rotor processes and analyses were funded by the Vertical Test Test Lift Consortium, formerly the Center for Rotorcraft Innovation and the National Rotorcraft Technology Center (NRTC), U.S. Army Aviation and Missile Research, Development and Engineering Center (AMRDEC) under Technology Investment CFD-CSD Agreement W911W6-06-2-0002, entitled National Rotorcraft Technology Center Research Program. The authors would like to acknowledge that this research and development was accomplished with the support and guidance of the NRTC and VLC. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the AMRDEC or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation thereon. NRTC/VLC Project: Design for Performance and Loads using CFD/CSD in Advanced Rotor Concepts (WBS No. 2009-B-01-02.1-P2)

Active Flow Control Applications Objective: Alleviate ground vortex ingestion New AFC approach: Sprinkler system Short Time-Scale Flow Development In real-life operations the vortex is unsteady Control method has to address the unsteady characteristics of realistic flows Long Time-Scale Flow Development Side-to-side actuation, 140 H z t = 0 t = 1.00 sec Periodic scanning over wide area effectively eliminates ground vortex Reference: Flow Control Techniques for Transport Aircraft, A.Shmilovich, Y.Yadlin AIAA Journal, 2011, Vol.49: 489-502 26 EOT_RT_Template.ppt 26

Active Flow Control Applications Separation bubble Power OFF Original Nozzle Objective: Develop technologies for more effective STOL Enhanced Coanda effect of the USB system New AFC approach for the high-lift system Actuation results in increased USB effectiveness Top view Exhaust plume Vertical cut through ports AFC Off Cross sectional vorticity Power ON Control OFF Engine plume (M=0.7) Original Nozzle AFC On Power ON Control ON Elongated Nozzle Higher exhaust turning results in increased circulation 27 Boeing Visit with AFRL Dayton 27

Concluding Remarks Boeing relies heavily on overset grid CFD methods to design and analyze virtually all of the air and space vehicles we build. Because this technology is so important to us, we have invested, and continue to invest, in the development of tool and process improvements and application validation. Concurrently, we remain active in the overset CFD community, and work to share and leverage as much externally developed technology as possible. We truly appreciate the incredible amount of technology that is currently being developed within the overset CFD community, and particularly at NASA. We have been, and will remain, open to collaborating with external organizations in a mutually beneficial manner to advance the state-ofthe-art in overset CFD technology. 28

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