Aerospace e-Science: Building a Network for Collaborative Aerospace Research

1. Plan for Aerospace e-Science Asia Pacific Advanced Network Meeting e-Science Workshop August 27, 2003 Cheol-Ho Lim, Director, SUDC, KARI Seong-Wook Choi, SUDC, KARI Kum-Won Cho, KISTI

2. CONTENTS • Background • Trend • Objective • Work Scope • System • Budget • Demonstration Program • Smart UAV Development Program • Conclusion

3. BACKGROUND • IT+ST -> Improvement of Engineering Environment • Aerospace Technology requires large scale computing and data management -> Difficult to use Isolated resources • Need to Construct Network based Design & Analysis System • Providing a Uniform Aerospace Infrastructure • Integration & Management of Aerospace Resources Located in Multiple Organizations and Areas • Facilitating Human Collaboration in Aerospace Fields • Remote Access and Operation of Aerospace Facilities and Instruments • Introduction of Grid Technology to Manufacturing Field • e- Manufacturing, e-CAD/CAM … • EuroGrid, GEODISE, DAME, NASA IPG … • Increasing Aerospace Competitiveness by e-Science • Conversion of Existing Engineering Env. to New e-Science Env

4. National e-Science e- Manufacturing (KIMM) Research Infrastructure (KBSI) Bio e-Sciecne (KRIBB) Aerospace e-Science (KARI) … e- Astrophysics (KAO) MOST Core Technology(Middleware, Supercomputer, Network) N*Grid MIC BACKGROUND MOST: Ministry of Science and Technology MIC: Ministry of Information and Communication

5. Users Web user interface 300 node Condor pool NASA Ames DARWIN/DREAMdata server /portal metadata user data access authentication instrument datastorage Grid Services: Uniform access to distributed resources Collaboration and Remote Instrument Services UniformResourceAccess Grid Information Service Authentication Authorization Communication Services Global Queuing Network Cache Global EventServices Data Cataloguing Uniform Data Access Fault Management Co-Scheduling Brokering Auditing Monitoring Security Services IPG compute and data resources SDSCcompute anddata storageresources Boeing Ames Wind Tunnels: - National Full-Scale Aerodynamics Complex- 9x7 ft Supersonic and 11 ft Transonic- 12 ft Pressure EDC GRC NREN NGIX CMU NCSA GSFC ARC LaRC JPL NTON-II/SuperNet MSFC SDSC JSC KSC TREND (U.S.) • NASA IPG(Information Power Grid) • Environment of Real time Design, Manufacturing, Maintenance of Aircraft in Grid Base DARWIN: Developmental Aeronautics Revolutionizing Wind-tunnels with Intelligent Systems of NASA DREAM: Distributed Remote Aeronautics Managements

6. In flight data Global Network Ground Station Airline DS&S Engine Health Center Maintenance Centre Internet, e-mail, pager Data centre TREND (U.K.) • GEODISE, DAME • GEODISE : Grid based Aircraft Multi-discipline Optimal Design System • DAME : Grid based Real-time Aircraft Operation and Maintenance System GEODISE: Grid Enabled Optimization and Design Search for Engineering DAME: Distributed Aircraft Maintenance Environments

7. TREND (JAPAN) • ITBL(Information Technology Based Laboratory) • Grid Based Supersonic Aircraft Design NAL: National Aerospace Laboratory NIMS: National Institute for Materials Science JST: Japan Science and Technology Corporation JAERI: Japan Atomic Energy Research Institute

8. OBJECTIVE • Construction of Aerospace e-Science • Construction of Design/Analysis Network for Aerospace Vehicle Based on National Grid System • Collaborative Use of Aerospace Test Facilities and Equipments Dispersed in Organizations and Areas (Institute, Industry, Academia) • Construction of Infrastructure for Collaborative Use of Information and Database for Aerospace Vehicle Design/Analysis

9. WORK SCOPE

10. AEROSPACE ORGs in KOREA Industry KAI, Small Companies.. Research Institute KARI, ADD Academia SNU, KAIST, …

11. Test Facility KISTI Supercomputer Human Resource A/C Design DB Application S/W AEROSPACE RESOURCE High-Speed Network

12. Design Tool Aircraft Design DB Analysis Tool AEROSPACE e-Science Information Computing H/W Test Facility Visualization USER Human Resource SYSTEM A/C Design Code Online DB Center CFD Performance Law, Spec Super-Com Cluster Wind-tunnel Engine Test Cell … CAVE (VR) High-Speed Network U.S., EURO, JAPAN…

13. PLAN for BUDGET Unit : US M$

14. DEMONSTRATION PROGRAM • Demonstration Programs in National Grid Project (N*Grid) • Grid Base Virtual Wind-tunnel : KAIST, KISTI, KARI • Grid Base Analysis of Strap-on Stage Separation : SNU, KISTI • Grid Base LES/DNS : PNU, KISTI • Grid Base Analysis of Large Scale Aerospace Structure : SNU, KISTI

15. User Interaction • Input Handling • Parameter Update Huge Scale Simulation • Simulation Program Equipment Supercomputer • Preprocess Data • Job Submission Storage Device Cluster • Scientific Visualization • User Interface • Collaborative Environment N*Grid Infrastructure N* Grid SEOUL SUWON CHEONJU DAEJON POHANG KWANGJU PUSAN

16. Chonbuk N. Univ.: IBM SP2 KISTI: Compaq GS320 Preliminary Results • Computational Fluid dynamics based N*Grid Test-bed DFVLR Axial Fan Seoul Daejon Full Body Airplane KREONet2 Pohang Globus/MPICH-G2 Chonbuk Pusan

17. DEMONSTRATION PROGRAM (1) • Development of Optimal Configuration Design Technology using Virtual Wind-tunnel • Results • Build-up Application Test-bed for Aerospace Field • Build-up Grid Portal • Grid based Flow Analysis on Korean Launch Vehicle • Applied Technology • Construction of Test-bed using GLOBUS Tool-kit and MPICH-G2 • Construction Portal using Aerospace Pre/Post Processor • Flow Analysis on the Korean Launch Vehicle using Grid Based Domain Decomposition Method

18. DEMONSTRATION PROGRAM (1) KAIST KISTI 1Gbps 100Mbps 100Mbps Head Pentium IV 2.4GHz 25 nodes Venus Pentium IV 2.0GHz 64 nodes • Performance of flow analysis (venus+head) - RAE 2822 Airfoil: N-S Simulation, 8 CPU Before Optimization Airfoil shape: 65% span station Surface pressure contours: 65% span station After Optimization

19. DEMONSTRATION PROGRAM (2) • Grid Base Analysis of Large Scale Aerospace Structure • Results • Construction of Grid Test-bed (256CPU) • Structure Analysis using VDD Grid System • Applied Technology • Construction of Campus Grid using PC-Cluster • Performance Analysis and Load Balancing using Grid Communication Library VDD: Virtual Design & Development

20. Departmental Computing Grid Distributed Distributed Cluster System Cluster System User PC Farm 1 PC Farm 1 Pool Pool Large - scale simulation Data (Computing Grid) Virtual Design Distributed Distributed Cluster System Cluster System PC Farm 2 PC Farm 2 SNU Network Design Terminal Design Terminal Grid Entry point (GUI + Python) Cluster System Cluster System VDD GRID System Pegasus Supercomputer DEMONSTRATION PROGRAM (2) Web Interface Simulation of Mindlin Plate

21. DEMONSTRATION PROGRAM (3) • Grid Base Analysis of Large Scale Aerospace Structure • Results • Construction of Grid Test-bed • Applied Technology • Parallelized LBM(Lattice Boltzmann Method) using MPICH-G2 • Performance Analysis of International Grid Test-bed

22. DEMONSTRATION PROGRAM (3) ■ Generation of sound ■ Pressure Fluctuation ■ Red color: positive sound pressure, blue color: negative sound pressure

23. SMART UAV DEVELOPMENT PROGRAM • Program Overview • Program Director : Cheol-Ho Lim, Dr. Ing • R&D Period : 2002. 6 – 2012. 6 • R&D Fund : Total 120 M$ USD • Sponsoring Ministry : Ministry of Science & Technology • R&D Stage

24. SMART UAV DEVELOPMENT PROGRAM • Development of Advanced High Speed VTOL UAV Embedding Smart Technology Smart UAV Existing UAV • Low Safety • High Operating Cost • Runway Dependent • Collision Risk • Safety a good as Commuter • Cost less than half of Helicopter’s • Vertical Takeoff and Lading • Collision Avoidance Smart Technology • Fully Autonomous Flight • Collision Avoidance • Health Monitoring • Self Restoring • Active Flow & Noise Control • Smart Material & Structure

25. FBG/EFPI Hybrid Sensor Mission Payload Smart Active Blade Tip ILS SMART TECHNOLOGY Active Separation Control SMART UAV SMARC MEMS Collision avoid system Intelligent Control COMM GCS Smart Technology Smart UAV System SMART UAV DEVELOPMENT PROGRAM • Technology Scheme

26. Smart Technology Spin-Offs (Aerospace,Transportation, IT, AI, Micro Device/Mechatronics …) Domestic International International Cooperation Academy KARI SUDC Institute International Partner Government Industry UAV Market (Public, Private, Commercial) SMART UAV DEVELOPMENT PROGRAM • Research and Development Scheme

27. SUDC INSTITUTE SUPER-COM Network Network GRID FACILITTY S/W Network Network D/B ACADEMIA SMART UAV DEVELOPMENT PROGRAM • Application of R&D Grid System • Collaborative Use of Various Resources -> Overcome Limitation of R&D Resource and Reduction of R&D Cost • Collaborative Use of Network, Super-com, Test Facility Dispersed • Connection with National Grid Program of KISTI INDUSTRY Smart UAV R&D Grid

28. CONCLUSIONS • Aircraft Development is System Integration -> Optimal Model for e-Science Application !! • Check-up Possibility of IT+ST through Demonstration Program 2002~2003 • Reduction of R&D Cost by Sharing Resources Dispersed in Industry, Institute, and Academia • Utilizing Aerospace Vehicle Design/Analysis Technology by e-Science for National Aerospace Projects • Dramatic Reduction of Aircraft Development Time by enabling Multi-discipline Analysis and Design • Active Application of e-Science to Smart UAV Development Program • Providing Leading Model of e-Science to other area such as Shipbuilding, Automobile, Architecture,…)