AFOSR Perspective on Integrating Analysis Tools 20 Jun 2007

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Presentation transcript:

AFOSR Perspective on Integrating Analysis Tools 20 Jun 2007 Lt Col Rhett Jefferies Program Manager Aerospace, Chemical and Material Sciences Directorate Air Force Office of Scientific Research (AFOSR) Cleared for Public Release, Distribution unlimited

Presentation Outline Brief overview of AFOSR Integration of Analysis Tools Benefits Methodology Future directions/emphasis

Air Force Research Laboratory (AFRL) HQ AFRL Technology Directorates Munitions Information Directed Energy Space Vehicles Air Vehicles A quick look at the AFRL S&T organization with a focus on the TDs. This does not includes the other functions, (Operations & support, Fin Mgmt, Contracting, and Plans & Programs Noting: M/G Paul, Commander Dr. Daniel, Ex. Dir Dr. Harwell, the Chief Scientist In addition to the TD, you will also see the AFOSR, where the IO is located Sensors Materials & Manufacturing Human Effectiveness Propulsion AFOSR BASIC RESEARCH IS THE FOUNDATION AFOSR is the Sole Manager of AF Basic Research http://www.afrl.af.mil/

AFOSR Basic Research Areas Aerospace, Chemical & Materials Sciences (NA) Physics & Electronics (NE) Mathematics, Information & Life Sciences (NL) Sub-thrusts Structural Mechanics Materials Chemistry Fluid Mechanics Propulsion Physics Electronics Space Sciences Applied Math Info Sciences Human Cognition Mathematics Bio Sciences ” Graphics (left to right) 1 - proposed UCAV (artist’s conception) 2 - new semiconductor crystal growth technique developed by AFRL/NE and transitioned to industry 3 - split apart DNA molecule (computer model) 4 - plot of radar cross section versus incident angle to aircraft Areas of Enhanced Emphasis - Information Sciences - Novel Energy Technology - Mixed-Initiative Decision Making - Micro Air Vehicles - Adversarial Behavior Modeling - Nanotechnology

UNSTEADY & ROTATING FLOWS NAME: Rhett Jefferies NO. OF YEARS AS OSR PM: 2 BRIEF DESCRIPTION OF PORTFOLIO: Advance fundamental understanding of complex time dependent flows, their interactions & control; develop physically-based models & novel concepts SUB-AREAS IN PORTFOLIO: Active flow control effectors Low Reynolds number / Micro Air Vehicle aerodynamics Shear layers and vortex flows Micro-fluidics TECHNICAL APPROACH PRIORITIES: Integrated theoretical, numerical & experimental tools Multi-disciplinary innovation Technology transition

The Science of Laminar to Turbulent Transition AFOSR-Sponsored Research Explores the Fundamental Physics of Transition Laminar Linear Disturbance Growth O(104) Amplification Short Non-Linear 3D Region Turbulence Onset Laminar Inflow Acoustic and Vortical Disturbances Receptivity Nonlinear Interactions Turbulence Modeling Stability Theory Transient Growth Bypass Fuller Velocity Profile courtesy M. Choudhari, LaRC Roughness 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 time (ms) Freestream Boundary Layer Common scale Direct Numerical Simulation of Breakdown - H. Fasel, U. of Arizona This schematic illustrates the transition from laminar to turbulent flow in the boundary layer. As I stated on the last slide, an approach to estimating transition based on the underlying physics is required. The growth and eventual nonlinear interaction of disturbance modes drives the transition process. Understanding how these modes grow and interact under various conditions will facilitate the development of more accurate estimation methods. Transient Growth Theory Development – E. Reshotko, CWRU Receptivity Measurements G. Brown, Princeton Stability Theory Methods (15% of core): Analysis of relevant configurations helps identify which mechanisms are most critical Major opportunity to transition methods to industry and advanced programs Design Influence “Real” Phenomena Different Mechanisms!

Integrated Analysis Tools CFD EFD Numerical TFD Capitalize on strengths of each analysis technique IFD Experimental Theoretical

Integrated Fluid Dynamics (IFD): Benefits Gain new insights into flow physics

system and aerodynamic control surfaces Boundary Layer Laminarization by Ultrasonically Absorbing Coating (UAC) smooth surface Premature transition reduces efficiency of propulsion system and aerodynamic control surfaces UAC microstructure half coated model Mach 5 flow porous (UAC) surface Transition on smooth surface A strong evidence of UAC effectiveness is shown in resonantly enhanced shadowgraph. This shadowgraph corresponds to the total enthalpy H0=9.8 MJ/kg (shot 2008). The boundary layer is transitional on smooth surface (top) and perfectly laminar on the porous surface (bottom). By increasing the laminar run from 20% to 80% it is feasible to decrease gross vehicle take-off weight by factor of 2 Laminar flow on porous surface Laminarization initially predicted using variant of Orr-Sommerfeld stability theory Dr. N. Malmuth, Teledyne

Integrated Fluid Dynamics (IFD): Benefits Gain new insights into flow physics Example: Ultrasonically Absorbing Coating (UAC) Develop novel integration methodologies Low order model representation Incorporate PIV as initial condition in CFD

Time-Resolved Simulation of Experimental Heat Transfer Study of Heat Transfer Augmentation under Large-Scale Freestream Turbulence* Time-Resolved DPIV Measurements of 2-D Velocity Field Normal to a Plate Time-Resolved Simulation of Experimental Heat Transfer Vlachos, VA Tech (2007) Experimental velocity used as initial condition for CFD model to predict the time-resolved wall heat flux *Supported by NSF 11

Integrated Fluid Dynamics (IFD): Benefits Gain new insights into flow physics Example: Ultrasonically Absorbing Coating (UAC) Develop novel integration methodologies Low order model representation Incorporate PIV as initial condition in CFD Cut time & cost for technology development/transition Use TFD, CFD for parameter sweep to refine EFD reqmts Incorporate UAV flight test data Enable multi-scale analysis and design Move from low to high Re# Incorporate lower order techniques for design

Integrated Fluid Dynamics: Methodology Integration can occur on many levels Goal is to move beyond CFD-EFD data comparison Take advantage of strengths of TFD, EFD, CFD TFD seems under-utilized but may provide great insight Once validated, CFD can be used for numerical “experiments” Flight test Low Re# flows allow max use of analysis tools Innovation key for successful integration

Future Directions/Emphasis Encourage PIs to creatively integrate analysis tools Funded efforts must address IFD Collaboration crucial for success Establish successful case studies for methodology Emphasize IFD process used to get results Organize focused reviews/workshops/conferences Adopt standard procedures for successful IFD Utilize national data repository to enable IFD analysis