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Wayne Ziegler Materials Engineer U.S. Army Research Laboratory June 2014

Wayne Ziegler Materials Engineer U.S. Army Research Laboratory June 2014. MSAT/MAPTIS Data Archiving Process & Material Data Templates & Schema. Why have a Material Information System. To work smarter and faster Reduces duplication of testing Electronic notebook

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Wayne Ziegler Materials Engineer U.S. Army Research Laboratory June 2014

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  1. Wayne ZieglerMaterials EngineerU.S. Army Research LaboratoryJune 2014 MSAT/MAPTIS Data Archiving Process & Material Data Templates & Schema

  2. Why have a Material Information System • To work smarter and faster • Reduces duplication of testing • Electronic notebook • Faster dissemination and retrieval of data • Stop data loss - Ensures data is available to next generation • Improved data consistency and quality • Improved work processes and throughput • Accelerates implementation

  3. Data management plans are vital to remain relevant Successful plans use systems engineering approach. Programmatic Challenges? • Lack of unified directive • Requires investment of resources • Culture • Misinformation Current Strategy: • Don’t reinvent the wheel-build on existing system to maximize impact. • Build a DoD resource: Material Selection and Analysis Tool (MSAT) UNCLASSIFIED

  4. Current Efforts – Additive Manufacturing Material Informatics Vision DARPA Open Manufacturing Program Source: Richard Martukanitz, Director CIMP-3D

  5. Modified Workflow Diagram Traditional Workflow Execute Test/ Process Transfer Data Extract Data Lab /Process Notebook Analyze Data MSAT/MAPTIS Workflow Execute Test/ Process Import into Database Extract Data Analyze Data

  6. Data Schema – defines organization of data Data Collection Tools Import Templates Export Templates MSAT

  7. 2. Define Data Arrangement Data Schema – defines organization of data Data Collection Tools 1. Define data sets 3. Develop Import Templates (SQL) Import Templates 5. Mange Data – Access Control, Verification & Validation Export Templates MSAT 6. Define Data Use Cases, Data Analytics, Informatics, Model Inputs 4. Use Templates to Import Data 7. Develop Export Templates

  8. Technical Considerations • Definition of the main function of the system • How the system will fit in with existing systems and workplace practices • Who will use the system, and how • How data flows through the system • What type of information will be handled • How the system will be setup, deployed and maintained • Who is responsible for, and owns, the various system components

  9. Practical Challenges • Not every user is an expert • Materials and process data is never complete • Data has value – access control is critical (and potentially contentious) • It takes time to rationalize and consolidate data • Diverse end-users need data in diverse places and formats • Materials information systems need end-users • Designing a system from scratch is impractical

  10. Additive Manufacture Data Schema Map

  11. Contacts Materials Selection & Analysis Tool (MSAT) • Wayne Ziegler, ARL • Wayne.W.Ziegler.civ@mail.mil Materials and Processes Technical Information System (MAPTIS) • Dennis Griffin, NASA MSFC • Dennis.E.Griffin@nasa.gov

  12. MSAT Demo Template AM Database

  13. Back Up Slides

  14. Material Informatics Vision UNCLASSIFIED

  15. Schema Map Represents High Level Relationships Between Data Sets

  16. Defining the Structure/System • Source Data Questions • Generic Data Type • Data Source • Property Variables • Format of Data • Volume • Frequency Unclassified

  17. Defining the Structure/System Defining the Structure/System • Data Analysis Questions • Analysis Model • Transfer Method • Format of Data to Analyze • Type of Data • Analysis Output

  18. Data Output Questions • Format • Data Usage

  19. Workflow Questions • Data Flow Through Database • Responsibility for Each Stage • Data Approval • Who Maintains Workflow

  20. Data Security Questions • Restrictions Required • Nationality • Site • Project • Data Quality

  21. Structure Definition Worksheets Data Source & Import Details Data AnalysisDetails Data Output Details

  22. Transfer of Current & Legacy Data Workflow Details Data Security Details

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