CONFIDENCE BY DESIGN Collaborative Knowledge Management

Transcription

1 CONFIDENCE BY DESIGN Collaborative Knowledge Management 1

2 Agenda Motivation for EKM Brief Discussion on EKM Click to edit Master text styles 2

3 Motivation for EKM Click to edit Master text styles 3

4 Trends NUMBER OF SIMULATIONS DATA & COMPLEXITY Network Speed Computer Speed Hardware Parallel Computing SIMULATION COSTS Traditional Growth Linear Robust Design & Parametric Studies Exponential Component Subsystem System Click to edit Master text styles TECHNOLOGY DRIVES SYSTEMS SIMULATION & ROBUST DESIGN 4 Multiphysics (Mutli-scale), Robust Design & Systems approach will require new tools for managing this IP

5 CAE Data - Simple View Tera/Peta Mega Bytes Kilo Bytes Search Model Build Runs Results/Reports Archival Test - Co-relation Click to edit Master text styles 5

6 Questions (1/2) Where do you store your simulation data today? Local storage Shared drives Dedicated System Are you able to retrieve and reuse previous simulation assets in a reasonable amount of time? How do you manage the following assets? Performance Attributes Specs/Requirements/Documents Simulation materials Meshing/Analysis Rules/Specs Relevant test data for co-relation 6

7 Questions (2/2) What are the collaboration mechanisms between teams or departments? Multiphysics Do you allow remote access for your analyst and consultant staff? Remote centers How many of you use Workbench? - What % of your ANSYS simulations are performed using Workbench? < 10% 10-50% > 50% 7

8 Notable Industry Surveys How do you manage the results generated by your CAE simulations? How do you capture the simulation expertise of your engineers? Source: CPDA(2007) 150 companies Surveyed (Heavy CAE Users) 75 % of Engineering Knowledge & Data is loosely managed Key Surveys Top Challenges of Understanding Product Behavior Multiphysics effects, Increased Complexity, Many Variants Source: Aberdeen Group; April 2011 How Engineers Spend their time Significant amount of time spent on Menial tasks - Searching, manual exchange, rework. etc. Source : Customer feedback Need for collaboration, traceability and better management of CAE data 8

9 Summary - Key Challenges Where is the existing data? How to Search, Retrieve, Compare, Reuse, Share? How to leverage previous decisions and lessons learnt? Distributed Data/Team Challenges Diverse needs Click to edit Master text styles Quality & Traceability IP KNOWLEDGE BASE 9

10 Summary - Key Challenges Change Management (for CAE)? Role based needs Lifecycle How to capture best practices? How to leverage the IT investments? (HPC) Remote Access & Security Disaster recovery Backup & Archival Click to edit Master text styles 10

11 ANSYS Strategy Fluids Dynamics Structural Mechanics Explicit Dynamics Low-Frequency Electromagnetics High-Frequency Electromagnetics Thermal Mechanics Acoustics Complete Systems Simulated Environments Multiphysics Span Organizational and Geographic Silos Share Engineering Insights Democratize Simulation Process Automation Better Click to edit Decisions Master text Faster styles Simulate Anywhere 11 Enable Best Practices Focus on Engineering

12 Brief EKM Discussion Click to edit Master text styles 12

13 ANSYS EKM Solution Business Initiatives (Current) Knowledge Management Retain & Reuse Simulation Collaboration Integrate Teams (Local & Distributed) Best Practices Capture - Human Capital Challenges, Simulation Consistency CAE Compliance - IP Protection Business Initiatives (Road Map Focus) Collaborative Multiphysics Systems Engineering HPC and Remote Simulation (Cloud) Library Data Management Infrastructure Regression Validation Decision Making Synthesizing Analyzing KNOWLEDGE Summarizing Organizing INFORMATION DATA Click to edit Master text styles 13 Collecting

14 Capabilities EKM Solution Ease of Use Meta Data Extraction Data Search and Retrieval Multi-Location Collaboration Results Visualization Design Comparisons Workbench Integration Client Server Architecture Single Repository Individual Client Server Architecture Distributed Repositories Team/Workgroup Distributed Teams Single User Access Individual Repository Scalable Solution Strategic Intent: Get the right CAE data to the right people at the right time 14

15 ANSYS EKM Solution Simple Look and feel & easy to use (Web Interface) Easy Project Folder Creation as per user requirements Support for Project and Content Management Ease of Use Click to edit Master text styles 15

16 ANSYS EKM Advantages: Meta Data Extraction OOTB (Out of the box) capability (ANSYS and NON-ANSYS) Best in class automated meta data extraction & advanced search Detailed reports, comparison (automated) 16

17 ANSYS EKM Advantages: Meta Data Extraction Simulation properties and other metadata are automatically extracted from files when added, and users can customize these. Download Upload (Large file > 50MB) boundary conditions, solver settings, material data, etc.. Geometry Results Simulation Meta-Data (Small file <10KB) Large files put in repository Meta-data copied to database EKM Database Meta-data information can be configured User defined meta-data can be added User s Machine 17

18 ANSYS EKM Advantages Data Search and Retrieval Finding data quickly Intelligent Search and Retrieve Non-ANSYS file format also supported All standard solvers input and results files supported - ANSYS - ABAQUS - NASTRAN - ANSYS FLUENT - ANSYS POLYFLOW - ANSOFT DESIGNER - HFSS Click to edit Master text styles

19 ANSYS EKM Advantages: Visualization (CAD & CAE) Observational data mining, Interactive 3d visualization and simulation data analysis 19

20 Integration with Workbench Workbench Integration 20

21 ANSYS EKM Advantages: Remote Execution What if studies (Design Point & Optimization) Solutions Run Locally Or On Compute Clusters Batch Process Execution Amplify Engineering Click to edit Master text styles 21

22 ANSYS EKM Advantages: Reports and Design Comparison Comparison Quickly Compare Results from Different Designs Tabular Graphical 22

23 ANSYS EKM Advantages Lifecycle Management Access and Revision Control Easy Check in Check out Lock Access Control Groups, users Revision Control Branching Define Phase Permissions Approval Steps 23

24 Multi-Site Access to CAE data 24

25 Process Management & Workflow Pre defined templates to generate CAE result reports. Process Management Manage simulation sequences Configure templates as a webbased input form. Amplify Engineering 25

26 Summary 26

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28 Questions (1/3) What are your archival policies or needs? Do you archive design and simulation data together? In what format would you prefer the CAE data to be archived? Input decks Raw result data Processed result data (Light weight) ASCII format 28

29 Questions (2/3) How often must you retrieve simulation data from archived data? What challenges do you encounter in dealing with large data sets generated by simulation? What are your regulatory compliance or internal compliance needs for CAE data? 29

30 Questions (3/3) Do you have a standard work practices/templates that you use for mature simulations? If so, would you like to convert them into vertical application templates? Do you use compute cluster/rsm/queuing systems for running simulations? - What % of your simulations are executed on remote hardware and clusters? < 10% 10-50% > 50% What do you do for DOE/MDO runs? Are results stored on the cluster or another dedicated location? 30

31 PLM Integration via PROSTEP OpenPDM Transfer files from PDM/PLM systems to EKM Attributes are transferred with files Can check revision status from EKM Transfer files back to source PDM/PLM from EKM ANSYS EKM Windchill EKM Datalink Ennovia Teamcenter 31

32 Summary Specifically designed with scale, scope and purpose of CAE Thick Clients Thin Clients Upload Download Search Mobile Clients Application Integration User Experience Capabilities Organize Infrastructure & Deployment Execution & Visualization SIMULATION IP KNOWLEDGE BASE QUALITY & TRACEABILITY Simulation Data Repository LAN, WAN, Cloud Resource Click to edit Master text styles 32 OOTB Integration & Easy Extension

33 EKM Solution IT Scalability IT scalability Single user Workgroup Global deployment Plug-and-play Executes simulations and extracts data using a batch system such as RSM, LSF, SGE Web Browser (IE, Firefox, etc.) Application Server (Tomcat, Jboss, etc.) Compute Cluster Stores metadata Firewall ANSYS EKM Content Management Repository (Jackrabbit) Relational Database (Derby, MySQL, Oracle, DB2, etc.) Desktop Application (ANSYS Workbench, etc.) File Server (http, ftp) Repository of all stored files and applications 33

34 Customer Opinion(s) Re-using historical data via EKM shaves time and uncertainty from the simulation process. We chose ANSYS EKM because our engineers in multiple locations frequently need to collaborate in real time. The tool s data management capabilities make it Click to edit Master text styles straightforward for our engineers to organize and track multiple versions of files that are created during a typical design and analysis cycle. Dr. Martin Lehmann Head, Simulation Filter Elements MANN+HUMMEL 34

35 Value Drivers APPLICATION CLASSES WITH GREATEST VALUE Broadly Recognized Evolving Nascent Emerging Challenge to Adopt Lowest Moderate Highest Optimization Incremental Analytics CAD Integration Error Estimation and Control Adapt Gaming Technology Multisensory Feedback Advanced Materials Modeling Significant Transformational Impact on Design Success Simulation Data Management Multiphysics Simulation Systems Simulation MEMS/Nano Simulation Stochastic Simulation Complexity Analysis Source: NAFEMS 35 National Agency for Finite Element Methods and Standards

36 Adoption of New technology Source: Customer Journey - Geoffrey Moore Click to edit Master text styles INNOVATORS EARLY ADOPTERS EARLY MAJORITY LATE MAJORITY LAGGARDS 36

37 THANK YOU Click to edit Master text styles 37