a world of materials many products each with its own reality - - PowerPoint PPT Presentation

a world of materials many products each with its own
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a world of materials many products each with its own reality - - PowerPoint PPT Presentation

a world of materials many products each with its own reality material data compressive stress relaxation tensile viscosity fatigue conductivity expansion properties that describe reality web services for material data Can Material


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a world of materials

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each with its own reality many products

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properties that describe reality

tensile compressive conductivity fatigue expansion stress relaxation

material data

viscosity

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web services for material data

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Can Material Property Databases Meet the Needs of Global Enterprises

Hubert Lobo

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Outline

Needs Analysis Solution elements Solution implementation Conclusions

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Requirements

Enormous data diversity Search for data Authentication of data Selective global access Security Visualization and connectivity

Needs

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Material properties differ…

Properties depend on the end use

– on test conditions:

  • temperature
  • rate
  • time
  • environmental exposure

– the samples – the test specimens

Diversity

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Data is application-specific

The correct material property for a particular use may not be the right one for another application

– Many property measurements – Each applicable for its stage in the product life cycle

Diversity

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Specificity of material data

Product: safety glasses Material: polycarbonate Part designer’s matereality

  • Stress-strain data
  • Impact data
  • Refractive index

Molder’s matereality

  • Melt flow rate
  • Izod strength

Moldflow analyst’s matereality

  • Viscosity
  • Thermal conductivity
  • Melt density
  • Specific heat
  • No-flow temperature

Example

Moldflow is a trademark of Moldflow Corp.

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The case in singular

I need to store a variety of properties On the materials that I use most Which must be pertinent to my class of applications

Diversity

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The big picture

We need to store a multitude of varied properties Which depend on the end use application For diverse applications For diverse material types

a major mess…

Diversity

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Typical current scenarios

Many limited data stores

– Region specific – Company specific – Application specific – Material specific – Property specific

No common data interchange

Problem

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Finding the right data

Imagine wading through enormous swamps looking for the right data

– Handbooks – Internet – Databases – File cabinets – Colleagues and co-workers

Search

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Inconsistent use of data

Handbook 1 Database Internal lab data Modulus for Material A Data Sources Engineer B Engineer A Engineer C XYZ Company

Problem

the six sigma killer…

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Ensuring trust

How do we know how good it is?

– Data source – Variability – Pertinence to my application – Certification

  • all data is not created equal
  • conversely, some data cannot be used without

certification Authenticity

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Data access and security

Highly collaborative Many stakeholders

– Material suppliers – Part suppliers – Consultants – CAE vendors

Selective sharing is essential

Access

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Summary

Piecewise data stores are inefficient Enterprise has only limited access to data Sharing with collaborators is difficult Unavailable data = retest High risk, lost time and money

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Basis of a solution

Collaborative engineering Common framework

– Share data selectively – Eliminate duplication of testing – Eliminate inconsistent use of data – Permit data authentication – Track activity

Solution

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What is MDM?

Solution

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Basis of MDM

Material data specific data structures

– Store diverse data, simple or complex – Handle all types of data used throughout product life cycle

Within a PDM type framework

– Share data selectively, securely – Extensible to entire product life cycle

Solution

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MDMs are living entities,

A complete data store

– Your archival data – Current data direct from test labs – Data from your material suppliers – Data from your collaborators

Solution

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and comprehensive!

Data is purposed for

– Design – Process simulation – Material/product certification – Manufacturing – Failure studies

Any kind of data- simple to complex

Solution

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Handles data diversity

Solution

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* * * * * *

Stores pertinent data

Solution

Material names are trademark of Dow Chemical

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*

Records traceability

Solution

Material names are trademark of Dow Chemical

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Displays variability

Solution

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MDM is collaborative,

Highly efficient data pipelines

my data source my competition my supplier me my data source Collaborate

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secure!

knowledge

Collaborate

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Sharing is easy with MDM

Publish your data

– To all – To your own group – To your company – To selected persons/companies

Request access to data from others

follow your business practice

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Helping you keep track

All transactions are recorded

– Who accessed what – Access requests – Changes to classification – Changes to status of data

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Conclusions

Global enterprises need to manage their material data

– Securely for collaboration – Diverse material data on one platform – Have an authoritative source of data – Have interoperability for data exchange – Means to monitor usage of their data

Conventional databases are inadequate

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Conclusions

Paperless MDM provides the solution

– Authoritative data source for the enterprise – Selectively shareable by stakeholders – Handles any kind of material data – Means to authenticate all property data – Means to track all transactions – Ability to export to third party applications – Applicable to entire product life cycle

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Questions?

www.matereality.com/FAQ

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Matereality applied consistently

MDM Material A External Lab Material Supplier Internal lab Data Sources Engineer B Engineer A XYZ Company Engineer C XYZ Company’s collaborators

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Characteristics of matereality

A matereality is defined in the context

  • f its end use

A matereality is self-consistent Properties of one matereality may not be applicable to another matereality Misuse of properties in a matereality can fracture the matereality

Framework

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Features of matereality

Pertinent

– All properties represent the behavior under consideration

Traceable

– The source and quality of the data must be assessable

Describes variability

– An understanding of the statistical spread of the representative property

Framework