Development of e-AIRS System (e-Science Aerospace Integrated Research System)

1. Development of e-AIRS System(e-Science Aerospace Integrated Research System) Jongbae Moon, Byung-sang Kim, Kum Won Cho* Korea Institute of Science and Technology Information Soon-Heum Ko, Jin-ho Kim, Jae Wan Ahn, Chongam KimSeoul National University Jung-hyun Cho, Eunhye Song, Yoonhee Kim Sookmyung Women’s University

2. Current Status • Just completed 1st Stage • Participating organizations • Korea Institute of Science and Technology Information (KISTI) • Seoul National University(SNU) • Sookmyung Women’s University(SMWU) • Industry and university collaboration network(Korea Aerospace-Net) • Network based remote research environment • Research and development for next generation aerospace vehicle • Grid-based collaboration • KISTI, KARI, KAI, Universities(7) • International Collaboration • NCSA • Co-development of CoaxSim, Aerospace gateway WG • The University of Manchester and BAE System • Collaboration for Remote Wind Tunnel Experiment • Wayne State University • CAD2MESH Development

3. e-AIRS Architecture

4. Construction of Web Portal • Web Portal • User Session Management • Maintain user sessions in the portal • Make use of existing Portlet API • User Data Management • Provides various types of data such as user’s job information, result file • Implement e-AIRS Web Portal based on Gridsphere Framework • Reusing the basic Gridsphere portlets • Added e-AIRS portlets

5. Flow of Portal Services • Service overview parametric study service multiple parameter generation CFD data simultaneous simulation user CFD service result validation & optimization exp. data remote experiment computingresources computational / experimental aerodynamic data enlarged CFD data set storage server

6. CFD Solver Service • Features of CFD Solver • Automatic job script generation in Grid environment • Major input variables • Mach Number • Reynolds Number • Angle of Attack • Governing Equations : Inviscid / Laminar / Turbulent • Automatic partitioning independent to the number of processors Validation :RAE 2822 Airfoil Surface Pressure around Smart UAV(Mach No. 0.84, Angle of Attack 3.06)

7. PSS : Parametric Study Service • Integrated Analysis Environment • Aerodynamic coefficients at variousflow conditions are supported bycomputing and experimental services • Multiple results of experiments and computations plotted on the same frame • Variation of aerodynamic coefficientswith the change of specific flow variablegraphically supported • Automatic high throughput computingon selected flow range, giving detailedaerodynamic characteristics • More valuable to the R&D field Simulation Results of Testcases Plot Service of Aerodynamic Coefficients(PSS Validation)

8. Parameter Parsing Task Generation Parametric Study Service Task Allocation Task Scheduling Flow of Parametric Study Service (1/2) • Service overview • Automatic parameter and job generation • Job scheduling and dispatching • Meta-data management

9. Flow of Parametric Study Service (2/2) • Internal Operation Flow eAIRSPortalGUI PSSInterface PSS Parameter Parser(PPP) PSS Info Mgr createSubcases • Parameter Sweep Element, Case Info caseinfo PSS Job Scheduler (PJS) • Create job directory and parameter file on PSS server caseInfo createJob • Get available resources by using RIS • Select a suitable resource • Create RSL File to run jobs on selected resource scheduleJob resourceInfo MMS PSS Job Dispatcher (PJD) prepareJob • Create temporary directory in each node • Transfer files to the nodes jobInfo executeJob • Execute jobs and manage result data jobInfo

10. Remote Conferencing Tools • AG (Access Grid) + TightVNC • Add Shared TightVNC Service into AG as a Shared Application • While existing Shared Desktop shares a full screen of remote server, the Shared TightVNC provides the function that shares a specific frame on the remote screen. • Sharing the visible results through Shared TightVNC Client

11. CFD Monitoring & Scheduling • Runtime Monitoring • Provides information such as status, resource, start time, and end time of selected Case • Plan • Implement a function that interrupt a selected job • Convergence Graph • Visualize a graph of interim results while job is running • Using JFree Chart Library

12. Flow of CFD Service • Overview of CFD simulation user e-AIRSview computationalresult monitoring service job information computationalresult mesh file, boundary condition file CAD data to mesh boundary condition storage server e-AIRSmesh mesh generation boundary condition user’s choice of mesh mesh file flow condition & parameters parameter file computingresources CFD solver service

13. Flow of Remote Experiment Service • Service overview requestinformation request save data save session request service session managing service data managementsystem client downloadof exp. condition upload result information information information session information service operator exp. data experiment wind tunnel

14. Seoul,SNU Daejeon, KISTI Cluster Cluster Storage AIST, Japan KISTI, Korea Others (plan) Cluster Cluster Cluster DB Server Portal Server e-AIRS Computing Resources KREONET

15. e-AIRS Computing Resources • Specification of computing facilities

16. Performance enhancement of e-AIRS • We checked several components - DB Access - Server - Response time (Transaction .vs. No. Virtual user, throughput test, page view and etc) • Separate DB/Portal server and Storage Sever • DB : postgres  mysql

17. CAD2Mesh e-AIRSmesh Computational Components (1/3) • CAD2MESH & e-AIRSmesh • CAD2MESH • Extraction of geometryfrom CAD data (VRML file) • Java applet based • Middle tangent calculation methodology  For extraction of indexed lines • Ferguson curve fitting algorithm  Mesh point generation algorithm • e-AIRSmesh • Mesh generator based on Java applet • JOGL (Java API for OpenGL) library • Easy to use – Icon interface • Easy display control - by mouse motion • Transfinite interpolation technique  For construction of mesh system • PLOT3D data format • Automatic production of NACA 4-digit airfoil

18. Computational Components (2/3) • CFD Solvers • Supporting three type of solvers for general purpose (finished) • 3-D Turbulence solver • 2-D Compressible solver • 2-D Incompressible solver • Two solvers for specific problems (on-going) • For rocket simulation with internal flow analysis • Combination of external flow analysis code and combustion simulation code • All developed by Aerodynamic Simulation & Design Lab. (S.N.U.) • Validated by various problems

19. e-AIRSview Result file download Interfaces Tecplot S/W Interface Computational Components (3/3) • Methods of e-AIRS Visualization • e-AIRSview • Java applet based • JOGL (Java API for OpenGL) library • Visualization tool of temporary and final CFD data • Easy display control – by mouse motion • Data Visualization by TecPlot • Support of Tecplot (Commercial S/W) file format • Download result and error history file

20. Utilization of e-AIRS Service • Cyber Education • Lecture materials for students (Seoul Nat’l University and Konkuk University ) • Lecture & demo contents • CFD simulation : 2-Dimensional analysis through e-AIRS portal • Experiment : Through AG, remote lecture on introduction of wind tunnels CFD analysis lecture and demo Remote experiment lecture and demo Main CFD analysis problems

21. Internal Combustion Data Transfer Cluster 2 Cluster 1 External Motion Portal Server Advanced Research Activities • Experiment & CFD simulation research activities • Joint experimental research • Support advanced rocket simulation • Enabled only on the e-Science environment • Example : Integrated simulation of internal/external flow of a rocket • Distributed research on the e-Science environment • Simulation of rocket engine internal flows and rocker motion & external flows and its integration Integrated Simulation Example of Aerospace Field on the e-Science Environment

22. Thank you very much for your attentionhttp://eairs.kisti.re.kr/gridsphere/gridsphere