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© Fraunhofer Institute SCAI and other members of the SIMDAT consortium Data Grids for Process and Product Development using Numerical Simulation and Knowledge.

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Presentation on theme: "© Fraunhofer Institute SCAI and other members of the SIMDAT consortium Data Grids for Process and Product Development using Numerical Simulation and Knowledge."— Presentation transcript:

1 © Fraunhofer Institute SCAI and other members of the SIMDAT consortium Data Grids for Process and Product Development using Numerical Simulation and Knowledge Discovery Marije Geldof Fraunhofer SCAI, Germany SIMDAT 21 – 23 June 2005 Jamil Appa BAE Systems, UK

2 © Fraunhofer Institute SCAI and other members of the SIMDAT consortium The Grid House

3 © Fraunhofer Institute SCAI and other members of the SIMDAT consortium SIMDAT Facts IST Grid IP project 4 years Start date: September 1st, partners Capability Providers Grid Technologists End Users

4 © Fraunhofer Institute SCAI and other members of the SIMDAT consortium SIMDAT Objectives Develop federated versions of problem solving environments –Support of distributed product and process development –Test and enhance grid technology for access to distributed data bases –Tools for semantic transformation between these data bases –Grid support for knowledge discovery Promote defacto standards Raise awareness in important industrial sectors

5 © Fraunhofer Institute SCAI and other members of the SIMDAT consortium SIMDAT - Strategy SIMDAT takes an ambitious and credible route to drive Grid technology to the heart of industrial process: Phase 1 : Connectivity Phase 2 : Interoperability Phase 3 : Knowledge Deployment of Grid concepts, existing and emerging architectures with particular attention to data management. Data aggregation through the use of ontological concepts. Workflows for next- generation aggregated knowledge capture, discovery and mining.

6 © Fraunhofer Institute SCAI and other members of the SIMDAT consortium SIMDAT - Overview Four sectors of international economic importance: Automotive Pharmaceutical Aerospace Meteorology Seven Grid-technology development areas: Grid infrastructure Distributed Data Access VO Administration Workflows Ontologies Analysis Services Knowledge Services The solution of industrially relevant complex problems using data-centric Grid technology.

7 © Fraunhofer Institute SCAI and other members of the SIMDAT consortium V-GISC Conceptual view The project will develop an infrastructure based on a Virtual Database Service that provides a single view of distributed meteorological databases –Improve visibility and access to data through a comprehensive discovery service based on metadata development –Add value to existing data sets by enabling diverse databases to be used as a unique virtual resource –Offer a subscription services and a variety of reliable delivery services –Provide a global access control policy managed by the partners and integrated into their existing security infrastructure

8 © Fraunhofer Institute SCAI and other members of the SIMDAT consortium

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14 SIMDAT Project Results Federated versions of existing commercial Problem Solving Environments (for example MSC.SímManager, ESI Composer, ESI SDM, LMS Tec.Manager, LION SRS) Grid enabled versions of (commercial) analysis services (for example ESI PAM-CRASH, MSC.Nastran) Grid technology services –Commercial products for Grid support of Workflow, Ontologies –Grid enabled version of the WEKA data mining tool –Commercial product for Grid enabled model development (LMS.OPTIMUS) Contributions to standardisation activities Industrial showcases solving complex problems –Demonstration of the industrial relavance of the project results –(for example: Distributed knowledge discovery for the NVH behaviour of multiple cars based on the same platform)

15 © Fraunhofer Institute SCAI and other members of the SIMDAT consortium For more information

16 ©BAE Systems and other members of SIMDAT consortium SIMDAT Data Grids for Process and Product Development using Numerical Simulation and Knowledge Discovery

17 ©BAE Systems and other members of SIMDAT consortium Aerospace Industry – Product Development -Aerospace Industry: designs, manufactures and supports a wide range of products from electronic sub systems to complete systems like Airbus A340 -Key skills include systems integration, complete software and hardware development and advanced manufacturing -Carried out in a collaborative environment with complex relationships Dealing with complex product development in a collaborative and complex business environment

18 ©BAE Systems and other members of SIMDAT consortium Aerospace Activity Use Case -Collaborative design of a complex sub-system -A scenario involving aggregation of distributed capabilities operating across organisational boundaries -Objectives -To show how Grid technology and concepts can be used to improve product design -Improved access to and use of physical modelling -High-fidelity, integrated engineering data available sooner -Controlled sharing of IP across organisations -Improved management of analysis workflows and associated data

19 ©BAE Systems and other members of SIMDAT consortium Aerospace Activity Scenario -Multi-disciplinary collaborative configuration design of a low-noise, high-lift landing system

20 ©BAE Systems and other members of SIMDAT consortium Aerospace Activity Scenario – CAE Design Lab

21 ©BAE Systems and other members of SIMDAT consortium CAE Design Lab - Exploration Demonstrator PM 12 -Objectives -Ability to populate a design space within the constraints so that optimum can be chosen. -Inter-Enterprise secure and controlled access to simulation tools applied to evaluate design points. -Success Measure -Connectivity and interoperability of federated and distributed tools rather than the quality of the optimisation.

22 ©BAE Systems and other members of SIMDAT consortium Potential Topics for Collaboration -Provisioning of experimental Test Data -Experimental tests -Data collected and provided as a service -Increases knowledge in the system -Challenging when driven by design optimisation - Provisioning of analysis services for new disciplines -To enable study of dynamic effects – acoustics of deploying flap -Computational Aero Acoustics -Computationally challenging


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