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Strategic Alignment of Teaching and Strategic Alignment of Teaching and Research Enabled Through Virtual Research Enabled Through Virtual
Product DevelopmentProduct Development
Richard D. HaleRichard D. HaleAssociate ProfessorAssociate Professor
Aerospace EngineeringAerospace EngineeringUniversity of KansasUniversity of Kansas
10/11/0710/11/07
KUAE Vision and MissionKUAE Vision and MissionVision: Vision:
As a leader in aerospace As a leader in aerospace design education, we'll build design education, we'll build on our 60on our 60--year legacy to be a year legacy to be a world class community of world class community of choice for outstanding choice for outstanding students, educators, and students, educators, and researchers shaping the researchers shaping the second century of flight second century of flight
Mission Mission Educate aerospace Educate aerospace engineering students with engineering students with balanced knowledge/skills in balanced knowledge/skills in advanced design, design advanced design, design integration and manufacturing integration and manufacturing of aerospace vehiclesof aerospace vehicles, and , and serve the needs of Kansas, US serve the needs of Kansas, US industries, and government. industries, and government.
John McMasters, Technical Fellow, The Boeing Company
Virtual Manufacturing
Feature Based Designof Subsystems
Virtual Product Envmt.
Virtual Prototype
Common Geometry
Structures/FEA
Aerodynamics/External Loads
Feature Based Design of Structures
Automatic Int.GeometryPhysics-Based Weights
and CostsRapid Meshing
Rapid Loads
First Key is Engaging Students in Virtual Product Definition, and Web-Enabled Collaboration
Knowledge Base Development for Increased Certification by Analysis
Educational Reform Initiatives Offer Potential for Validating Strategically Aligned Teaching and Research Missions (NSF DLR)
Specialized Depth Domain Knowledge:
Content Domain Knowledge
TLC: Leading Edge CoreIntro. To Aerospace Engrg.
Colloq. & Freshman SeminarIntroduction To Ethics
Diversity: American People
Humanities & Social Science CoreDepth & Breadth, Globalization
Math & Science CoreCalculus – 4 semestersPhysics – 2-3 semestersChemistry – 1 semester
Engrg. Mechanics CoreStatics, Dynamics,
Strength of Materials, Thermodynamics, Circuits
Professional Development Core
Academic progress &Colloquium seminars
Research EnterpriseFaculty & Graduate
student mentors, Problems of global significance
Situated Knowledge:
Applied Domain Knowledge
Applied Computational Methods in Knowledge-Based Engineering
Fluid MechanicsAerodynamics & Performance
Fund. of Aerodynamics
Computer Aided Design
Dynamics of Flight I & II
Reciprocating Propulsion Systems
Fund. of Jet Propulsion
Aerospace Structures I & II
Materials & Processes
Instrumentation Lab.Technical Electives
Capstone Senior Design I & II
Course connection demonstrated Course connection proposed Full Integration
Industry EngagementIdentify collaborativeresearch, in-reach into classroom, assessment
Natural Complement to Educational Natural Complement to Educational MissionMission
Uninhabited Air Vehicle Design-Analyze-Build-Test(AE 507-421-508-510-430)
EvolvingEvolving Complement to Educational Complement to Educational MissionMission
Uninhabited Air Vehicle Design-Analyze-Build-Test(AE 507-421-508-510-430)
88
Prototype Example Prototype Example ---- HawkeyeHawkeye
Design Requirements:Design Requirements:50 lb payload capacity (23 kg)50 lb payload capacity (23 kg)200 nm range (370 km)200 nm range (370 km)Modular Design with no section Modular Design with no section
greater than 1.5 metersgreater than 1.5 metersMust be competitive with Must be competitive with
current UAV marketcurrent UAV market
Hawkeye UAVHawkeye UAV
Increasingly Complex Applications: The Increasingly Complex Applications: The Center for Remote Sensing of Ice Center for Remote Sensing of Ice
Sheets Sheets ---- Science RationaleScience Rationale
What changes are occurring in the mass of the What changes are occurring in the mass of the Earth’s ice cover, and how will those changes Earth’s ice cover, and how will those changes affect the climate?affect the climate?Using autonomous vehicles Polar research can Using autonomous vehicles Polar research can lead to greater spatial and temporal resolution of lead to greater spatial and temporal resolution of data acquisition.data acquisition.Increasing autonomy of UAVs (Multiple aircraft Increasing autonomy of UAVs (Multiple aircraft with single ground station) may lead to with single ground station) may lead to substantial operating cost savings.substantial operating cost savings.
Performance Requirements for Performance Requirements for CReSIS Field TestsCReSIS Field Tests
The UAV shall support the fine survey mission, defined as a The UAV shall support the fine survey mission, defined as a 20km x 20km area with 1km grid line spacing and a 350km 20km x 20km area with 1km grid line spacing and a 350km ingress/egressingress/egress–– Range: 945nm (1,750 km)Range: 945nm (1,750 km)
Ground Speed: 180Ground Speed: 180--220 km/hr220 km/hr–– Driven by SensorsDriven by Sensors
Cruise Speed: >140kts (260 km/hr)Cruise Speed: >140kts (260 km/hr)–– Driven by Wind speeds: 20Driven by Wind speeds: 20--40 kts (3540 kts (35--75 km/hr)75 km/hr)
Operating Ceiling: 15,000 ft (4.6 km)Operating Ceiling: 15,000 ft (4.6 km)Operating Altitude: < 4,900 ft AGL (1,500 m)Operating Altitude: < 4,900 ft AGL (1,500 m)Takeoff and Landing Distance: 1,500 ft (450 m)*Takeoff and Landing Distance: 1,500 ft (450 m)*–– *(enables operation from field camp or remote base)*(enables operation from field camp or remote base)
Heavy Fuel Engines are PreferableHeavy Fuel Engines are Preferable
Payload RequirementsPayload RequirementsThe UAV shall accommodate the magnetometer and the various The UAV shall accommodate the magnetometer and the various radar systems which include radar hardware, antennas, and radar systems which include radar hardware, antennas, and related subsystems. related subsystems. OnOn--board storage: 1 Terabyteboard storage: 1 TerabytePotential Operating Frequency: 100 MHz Potential Operating Frequency: 100 MHz –– 8GHz8GHzPayload Weight: Payload Weight: –– Ideal: 75 lbs (35 kg)Ideal: 75 lbs (35 kg)–– Worst Case: 120 lbs (55 kg)Worst Case: 120 lbs (55 kg)–– Conservative Case: 165 lbs (75 kg)Conservative Case: 165 lbs (75 kg)
Payload Power: 300 WPayload Power: 300 WPayload Volume: 0.5 x 0.5 x 0.2 mPayload Volume: 0.5 x 0.5 x 0.2 mAntennas: 50 x 50 cm EachAntennas: 50 x 50 cm Each–– 66--10 on 50 cm spacing10 on 50 cm spacing
Payload Accommodations:Payload Accommodations:–– Nadir Ports or WindowsNadir Ports or Windows–– External Wing Mounted AntennasExternal Wing Mounted Antennas
The New Meridian UAVThe New Meridian UAV
Aircraft Structural DesignAircraft Structural Design
Misc. StructuresMisc. StructuresWing splice and landing
gear integration
Wing ribs and antenna integration
One gear landing at 2 gPayload hatch
Firewall
Wing ManufacturingWing Manufacturing
Fuselage Manufacturing PlanFuselage Manufacturing Plan
1
2
34
5
6
7
8
9
10
# Part Name Material1 firewall 7075-T6512 frame 110 7075-T6523 frame 120 7075-T6534 fuse skin lwr Carbon/Epoxy5 fuse skin upr Carbon/Epoxy6 payload hatch Carbon/Epoxy7 v tail lead edge Alum. TBD8 ruddervators Fiberglass/Foam9 v tail fwd spar 7075-T65110 v tail aft spar 7075-T651
Fuselage ManufacturingFuselage Manufacturing
Systems Integration Systems Integration –– AvionicsAvionics
Educational use of KnowledgeEducational use of Knowledge--Based Based tools requires extension to missiontools requires extension to mission--
based conceptual designbased conceptual design
ConceptualModel
PreliminaryModel
MissionSpecifications
DetailedModel
Metrics, CostPerformance
Most time spent in
academic and educational
activities
Most time spent in industrial activities
Cost and performance readily quantified through robust geometry
Cost and performance largely “locked-in” by configuration
Adaptive Modeling Rapid Air Vehicle Engineering Adaptive Modeling Rapid Air Vehicle Engineering ((AMRavenAMRaven))
The framework facilitates rapid vehicle development integrating:–– FeatureFeature--based 3D geometric modeling environment supporting based 3D geometric modeling environment supporting
OML and substructure layout and configuration OML and substructure layout and configuration Major subsystem layout and packaging Major subsystem layout and packaging
–– 3D Parametric meshing 3D Parametric meshing –– Integrated low and high fidelity analyses and simulationsIntegrated low and high fidelity analyses and simulations
Aerodynamics Analysis (CFD, Panel, Empirical)Aerodynamics Analysis (CFD, Panel, Empirical)Structural Analysis and SizingStructural Analysis and SizingThermal AnalysisThermal AnalysisPropulsion AnalysisPropulsion Analysis
–– Weights ComputationWeights Computation–– Trajectory Optimization and Vehicle ClosureTrajectory Optimization and Vehicle Closure–– Operation Modeling and discrete event simulationOperation Modeling and discrete event simulation–– Cost modelingCost modeling–– Design exploration, optimization, and uncertainty analysisDesign exploration, optimization, and uncertainty analysis
Airplane Preliminary Design ProcessAirplane Preliminary Design Process
CLASS II
CLASS I DRAG
WING ANDHIGH LIFT
IS CLASS ICONFIGURATION
OK?
PERFORMANCE
LANDING GEAR DESIGN
STRUCTURE S IZING
WEIGHT AND BALANCE
INSTALLED THRUS T/POWER
IS CLASS IICONFIGURATION
OK?
EMP ENNAGESIZING
CONFIGURATION3-VIEW
CLASS I WEIGHT
WEIGHT & BALANCE
AERODYNAMICS:S & C DERIVATIVES,
HINGEMOMENTS, DRAG
RETRACTION KINEMATICS
WEIGHTS LOADS
TRIM
STICKFORCES
TAB & HORN SIZING
COST
DYNAMICS
SIMULATION
GEAR DIS POS ITION
STRUCTURE S IZING FLYINGQUALITIES
3-VIEWWIRE FRAME/SURFACE
V-n DIAGRAM
FINAL PRELIMINARYDESIGN
MISSION SPECIFICATION
PERF. CONS TRAINTANALYS IS
WEIGHT SIZING
CLASS I
YES
NO
NO
YES
AAARavenAAARaven ImplementationImplementationSupport Airplane Conceptual and Preliminary Support Airplane Conceptual and Preliminary
Design/AnalysisDesign/Analysis
Mission ProfileMission ProfileWeight SizingWeight SizingClass I DragClass I DragPerformance SizingPerformance SizingMaximum LiftMaximum LiftFlap LiftFlap LiftLift DistributionLift Distribution
GeometryGeometryClass I WeightClass I WeightWeight and BalanceWeight and BalanceClass I Moments of Class I Moments of InertiaInertiaVolume MethodsVolume MethodsClass II WeightClass II WeightClass II DragClass II Drag
Implementation Implementation ---- AAARavenAAARavenModel TreeModel Tree
Airplane
Certification
Vehicle Configuration
Primary Mission
Weights
Stability and Control
Primary Mission
Mission Segment
Flight Conditions
Dynamics
Weight and Balance
Performance
AerodynamicsClasses: AMLClasses: AML
CalculationsCalculations
––AMLAML
––Delphi DLL (Code ReDelphi DLL (Code Re--use from AAA)use from AAA)
Benefits of Benefits of AAARavenAAARavenFurther Reduced Design TimeFurther Reduced Design Time–– Replace Manual CalculationsReplace Manual Calculations–– Reduce ErrorsReduce Errors–– 1 King Air 1 King Air →→ 8 MU8 MU--2: 500 Hours2: 500 Hours–– Air Tractor: 200 Hours Air Tractor: 200 Hours →→ 40 Hours40 Hours–– Small Jet: 20 Hours Small Jet: 20 Hours →→ 2 Hours2 Hours
Better Product: IterationsBetter Product: Iterations–– More Alternative DesignsMore Alternative Designs–– Improved QualityImproved Quality–– Higher Fidelity (Physics Based: CFD, FEA)Higher Fidelity (Physics Based: CFD, FEA)
Further Reduced Design CostFurther Reduced Design Cost
3D Geometry Errors3D Geometry Errors
Integration and TestingIntegration and TestingApplicable to most Applicable to most Types of AirplanesTypes of Airplanes–– Single Engine PropSingle Engine Prop–– MultiMulti--engine Propengine Prop–– FighterFighter–– BomberBomber–– AirlinerAirliner–– UAVUAV–– Business JetBusiness Jet–– FAR23, FAR25, FAR23, FAR25,
Military, LSAMilitary, LSA
Validation Exercises for Existing or Validation Exercises for Existing or Emerging AircraftEmerging Aircraft
AAI Shadow 600AAI Shadow 600Adam A500Adam A500Bede BDBede BD--1010BeechJet 400ABeechJet 400ABoeing 737Boeing 737--900900Boeing 747Boeing 747--400400Boeing 777Boeing 777--200200Bombardier Learjet Bombardier Learjet 24F24FCessna 172R Cessna 172R SkyhawkSkyhawkCessna 208Cessna 208Cessna 210 Cessna 210 CenturionCenturionCessna 310Cessna 310Cessna 525 Cessna 525 CitationJetCitationJet
Cessna CJ2Cessna CJ2Cirrus SR20Cirrus SR20Diamond DA40Diamond DA40Eclipse 500Eclipse 500Embraer EMBEmbraer EMB--312 Tucano312 TucanoEmbraer EMBEmbraer EMB--120 Brasilia120 BrasiliaFAFA--22 Raptor22 RaptorFairchild TFairchild T--4646Falcon 20Falcon 20Global HawkGlobal HawkLearfan 2100Learfan 2100Lockheed Martin FLockheed Martin F--16 16 Fighting FalconFighting FalconPiper PAPiper PA--30 Twin Comanche30 Twin ComancheRaytheon Premier 1Raytheon Premier 1KU KU CReSISCReSIS MeridianMeridian
Validation for New Aircraft Validation for New Aircraft –– LSA DesignLSA Design
UL 260i, 95 HPUL 260i, 95 HPPowerplantPowerplant
120 kts at 5,000 ft120 kts at 5,000 ftMax. Cruise Max. Cruise SpeedSpeed
5,000 ft maximum5,000 ft maximumAltitudeAltitude
1 crew, 1 passenger (190lb 1 crew, 1 passenger (190lb each and 10 lb baggage each and 10 lb baggage each)each)TOGW 1320 lbTOGW 1320 lb
WeightWeight
1,000nm at full payload at 1,000nm at full payload at 5,000 ft and 10% reserves5,000 ft and 10% reserves
RangeRange
21 3
5
6
7
Engine Start and Warmup
Taxi
Take-off
Cruise
Descent
Landing, TaxiShutdown
4Climb
Maximum stall Maximum stall ––45 knots.45 knots.Maximum speed in level flightMaximum speed in level flight–– 120 knots.120 knots.Single or twoSingle or two--seat aircraft only.seat aircraft only.Single, reciprocating engineSingle, reciprocating engineFixed or groundFixed or ground--adjustable propeller.adjustable propeller.UnpressurizedUnpressurized cabin.cabin.Fixed landing gearFixed landing gear
ConclusionsConclusions
Earliest adoption of 3D Geometry : Prevent Earliest adoption of 3D Geometry : Prevent Geometry ErrorsGeometry ErrorsRobust geometry enables interdisciplinary Robust geometry enables interdisciplinary and and multidiscplinary multidiscplinary inquiryinquiryTools enable transition from historicalTools enable transition from historical--based based to physicsto physics--based modeling earlier in designbased modeling earlier in designEducational environment ideal for lowEducational environment ideal for low--cost cost validation of simulations, supporting the validation of simulations, supporting the emerging virtual product workforceemerging virtual product workforceEducational and research goals are Educational and research goals are synergisticsynergistic