wayne ziegler materials engineer u.s. army research laboratory june 2014

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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 - PowerPoint PPT Presentation

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U.S. Army Research, Development and Engineering Command

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MSAT/MAPTIS Data Archiving MSAT/MAPTIS Data Archiving Process & Material Data Process & Material Data

Templates & SchemaTemplates & Schema

Wayne ZieglerMaterials EngineerU.S. Army Research LaboratoryJune 2014

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Why have a Material Why have a Material Information SystemInformation 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

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Data management plans are vital Data management plans are vital to remain relevantto remain relevant

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)

Successful plans use systems engineering approach.

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Current Efforts – Additive Current Efforts – Additive ManufacturingManufacturing

DARPA Open Manufacturing Program

Source: Richard Martukanitz, Director CIMP-3D

Material Informatics Vision

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Modified Workflow DiagramModified Workflow Diagram

Transfer

Data

Execute Test/

Process

Extract Data

Execute

Test/

Process

Lab

/Process

Notebook

Analyze

Data

Import into

DatabaseExtract Data Analyze Data

MSAT/MAPTIS Workflow

Traditional Workflow

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MSAT

Data Schema – defines

organization of data

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MSAT

Data Schema – defines organization of

data

1. Define

data sets

2. Define Data

Arrangement

3. Develop Import

Templates (SQL)

5. Mange Data – Access

Control, Verification &

Validation

6. Define Data Use Cases,

Data Analytics, Informatics,

Model Inputs

4. Use Templates to

Import Data7. Develop Export

Templates

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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 handledHow the system will be setup, deployed and maintained Who is responsible for, and owns, the various system components

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Practical ChallengesPractical Challenges

Not every user is an expertMaterials and process data is never completeData has value – access control is critical (and potentially contentious)It takes time to rationalize and consolidate dataDiverse end-users need data in diverse places and formatsMaterials information systems need end-usersDesigning a system from scratch is impractical

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Additive Manufacture Additive Manufacture Data Schema MapData Schema Map

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

ContactsContacts

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MSAT DemoMSAT DemoTemplateTemplate

AM DatabaseAM Database

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Back Up SlidesBack Up Slides

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Material Informatics Vision

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Schema Map Represents High Level Schema Map Represents High Level Relationships Between Data SetsRelationships Between Data Sets

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Source Data Questions• Generic Data Type• Data Source• Property Variables• Format of Data• Volume• Frequency

Defining the Structure/System

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Defining the Structure/System 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

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Data Output Questions FormatData Usage

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Workflow Questions Data Flow Through DatabaseResponsibility for Each StageData ApprovalWho Maintains Workflow

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Data Security QuestionsRestrictions RequiredNationalitySiteProjectData Quality

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Structure Definition Worksheets

Data Output Details

Data Source & Import Details

Data Analysis Details

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Workflow Details

Data Security Details

Transfer of Current &

Legacy Data

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