Difference between revisions of "ICMSE-MGI Digital Data Workshop"

From Knoesis wiki
Jump to: navigation, search
Line 33: Line 33:
 
=== Location and Schedule ===
 
=== Location and Schedule ===
 
The specifics of this schedule are draft. The agenda will be finalized after receiving feedback from attendees.
 
The specifics of this schedule are draft. The agenda will be finalized after receiving feedback from attendees.
−
<div style="text-align: center;"> '''Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis: [http://knoesis.org http://knoesis.org]) Wright State University <br/> 377 Joshi Research Center, 3640 Colonel Glenn Highway, Dayton, OH 45435 <br/> 13-14 November 2013 ''' </div>
+
<div style="text-align: center;"> '''Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis: [http://knoesis.org http://knoesis.org]) Wright State University <br/> 377 Joshi Research Center, 3640 Colonel Glenn Highway, Dayton, OH 45435 <br/> 13-14 November 2013 '''  
 +
</div>
  
−
{| class="wikitable" width="70%"
+
 
−
| '''Start Time'''
+
{| cellspacing=0 border=1 align=center width=70%
−
| '''Activity'''
+
|-
−
| '''Room'''
+
|width="120" style="background:grey" | '''Start Time'''
 +
| style="background:grey" | '''Activity'''  
 +
|width="100" style="background:grey" | '''Room'''
 
|-
 
|-
 
|colspan="3"| 12 November 2013
 
|colspan="3"| 12 November 2013
Line 48: Line 51:
 
<br/>
 
<br/>
  
−
{| class="wikitable" width="70%"
+
{| cellspacing=0 border=1 align=center width=70%
 
|colspan="3"| 13 November 2013
 
|colspan="3"| 13 November 2013
 
|-
 
|-
−
|8:30 am
+
|width="120" |8:30 am
 
|Welcome and an introduction to the vision
 
|Welcome and an introduction to the vision
−
|
+
|width="100"|
 
|-
 
|-
 
|
 
|
Line 70: Line 73:
 
|Semantic technologies used by other domains (semantic annotation, indexing, faceted search, etc.)
 
|Semantic technologies used by other domains (semantic annotation, indexing, faceted search, etc.)
 
|
 
|
 +
|-
 +
|9:45 am
 +
|Break
 +
|
 +
|-
 +
|10:00 am
 +
|Current efforts to enhance seamless materials data exchange between machines (e.g. CEN)
 +
|
 +
|-
 +
|
 +
|Data: If I find it, can I trust it?
 +
|
 +
|-
 +
|
 +
|Data: Can I protect it?
 +
|
 +
|-
 +
|
 +
|Breakout session vignette
 +
|
 +
|-
 +
|11:30 am
 +
|Lunch
 +
|
 +
|-
 +
|1:30 pm
 +
|Break into sessions
 +
|
 +
|-
 +
|4:30 pm
 +
|Open discussion and end-of-day wrap-up
 +
|
 +
|}
 +
<div style="text-align: center;"> '' Morning presentations and demonstrations will be "Ted Talk" style; each not to exceed 18 minutes in length '' </div>
 +
<br/>
  
 +
{| cellspacing=0 border=1 align=center width=70%
 +
|colspan="3"| 14 November 2013
 +
|-
 +
|width="120" |8:30 am
 +
|Review of the morning’s objectives
 +
|width="100"|
 +
|-
 +
|8:45 am
 +
| Break into sessions
 +
|
 +
|-
 +
|11:45 am
 +
|Lunch
 +
|
 +
|-
 +
|
 +
|Reconvene for session reports
 +
|
 +
|-
 +
|
 +
|Materials Development & Design report
 +
|
 +
|-
 +
|
 +
|Manufacturing report
 +
|
 +
|-
 +
|
 +
|Structural Design report
 +
|
 +
|-
 +
|1:15 pm
 +
|Open discussion & workshop wrap-up
 +
|
 +
|-
 +
|2:00 pm
 +
|Formal conclusion of the workshop
 +
|
 +
|-
 +
|2:30 pm
 +
|Ad hoc discussion for workshop participants wanting to continue the dialog
 +
|
 
|}
 
|}
 +
 +
 +
 +
=== A Conceptual Framework ===
 +
To help strike a balance between participant discussion becoming overly abstract or too concrete, the concept of a product-process-product (P3-triplet) is introduced for use during the workshop.
 +
 +
Triplets represent materials or products subjected to a process (M&P, manufacturing, fabrication, assembly) yielding higher value materials or products. For example, an un-cured composite lay-up is subjected to an autoclave process to yield a consolidated composite. Another example would be a composite panel being subjected to a trimming and hole drilling process to yield a panel ready for assembly with other parts of an aircraft.
 +
 +
At various points along the continuum from raw material to finished product, virtual products are created as part of the design process. Modeling and simulation (M&S) of elements within each triplet are used to predict the response of a product or process. For example, chemorheology models are used to help predict resin flow during the cure process, and discrete damage models are used predict failure modes and strength in composites.
 +
 +
Triplets "collect" data about the virtual and physical products and processes and provide a convenient way to decompose the system into workable elements.
 +
 +
An example of a triplet from the simple diagram below would be an un-cured composite lay-up subjected to an autoclave process to yield a PMC angle. In reality, a tip-to-tail P3-triplets network associated with a material or product could consist of tens, hundreds or thousands of P3-triplets.
 +
 +
Note, however, that P3-triplets are not intended to be the only possible framework to help model the system. The primary intent is to establish context and a framework during the workshop.
  
  
 
<references/>
 
<references/>

Revision as of 20:52, 27 September 2013

Digital Data for MGI: understanding requirements and investigating semantic and federated approaches

Background

"Integrated Computational Materials Engineering (ICME) is the integration of materials information, captured in computational tools, with engineering product performance analysis and manufacturing process simulation." his definition of ICME provided by the National Research Council in 2008 describes the complexity of the engineering framework being constructed to enable 21st century materials science and engineering. This framework will be comprised of modeling tools and experimental data to provide an integrated engineering capability that describes the composition, processing, structure, and property relationships of a material used to design and manufacture components.

The ICME construct is very much in keeping with the goal of the Materials Genome Initiative’s (MGI) to double the speed at which we discover, develop and manufacture new materials. The goal will be achieved through the development of a materials innovation infrastructure that includes computational tools, experimental tools, digital data, and collaborative networks.


Workshop Purpose

Numerous entities have observed that the complexity and significantly enhanced engineering capability of an ICME framework raise important questions pertaining to the ability to discover, assess, integrate and use materials data and information. This workshop will focus on the application of semantic technologies to structural design <ref>Discussion should also include functional material considerations (e.g. thermal conductivity, lightning strike, etc.)</ref>, manufacturing, and materials design and development.

  • Facilitate cross-talk between approximately thirty technical subject matter experts (SME): structural design, materials & manufacturing, data modeling, and knowledge discovery
  • Explain and demonstrate how federated architectures enabling linked data and knowledge representation designed for the semantic web can be applied to the ICMSE domain
  • Identify general provenance requirements and present approaches to capture provenance
  • Discuss the SOA in ensuring data integrity and security


Target Audience

Those who create and use data:

Structural Designers
Materials Suppliers
Materials Scientists and Engineers
Supply chain managers
Manufacturing Engineers

Those who create technologies to create federated data architectures and capture knowledge:

Information ontologists
Knowledge capture and dicovery experts
Data modelers
Security experts


Location and Schedule

The specifics of this schedule are draft. The agenda will be finalized after receiving feedback from attendees.

Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis: http://knoesis.org) Wright State University
377 Joshi Research Center, 3640 Colonel Glenn Highway, Dayton, OH 45435
13-14 November 2013


Start Time Activity Room
12 November 2013
7:00 pm Mixer (optional)


13 November 2013
8:30 am Welcome and an introduction to the vision
Interrelationship between Processing-Structure Properties
Materials & manufacturing data for the structural design process
Approaches for federated data and knowledge representation
Semantic technologies used by other domains (semantic annotation, indexing, faceted search, etc.)
9:45 am Break
10:00 am Current efforts to enhance seamless materials data exchange between machines (e.g. CEN)
Data: If I find it, can I trust it?
Data: Can I protect it?
Breakout session vignette
11:30 am Lunch
1:30 pm Break into sessions
4:30 pm Open discussion and end-of-day wrap-up
Morning presentations and demonstrations will be "Ted Talk" style; each not to exceed 18 minutes in length


14 November 2013
8:30 am Review of the morning’s objectives
8:45 am Break into sessions
11:45 am Lunch
Reconvene for session reports
Materials Development & Design report
Manufacturing report
Structural Design report
1:15 pm Open discussion & workshop wrap-up
2:00 pm Formal conclusion of the workshop
2:30 pm Ad hoc discussion for workshop participants wanting to continue the dialog


A Conceptual Framework

To help strike a balance between participant discussion becoming overly abstract or too concrete, the concept of a product-process-product (P3-triplet) is introduced for use during the workshop.

Triplets represent materials or products subjected to a process (M&P, manufacturing, fabrication, assembly) yielding higher value materials or products. For example, an un-cured composite lay-up is subjected to an autoclave process to yield a consolidated composite. Another example would be a composite panel being subjected to a trimming and hole drilling process to yield a panel ready for assembly with other parts of an aircraft.

At various points along the continuum from raw material to finished product, virtual products are created as part of the design process. Modeling and simulation (M&S) of elements within each triplet are used to predict the response of a product or process. For example, chemorheology models are used to help predict resin flow during the cure process, and discrete damage models are used predict failure modes and strength in composites.

Triplets "collect" data about the virtual and physical products and processes and provide a convenient way to decompose the system into workable elements.

An example of a triplet from the simple diagram below would be an un-cured composite lay-up subjected to an autoclave process to yield a PMC angle. In reality, a tip-to-tail P3-triplets network associated with a material or product could consist of tens, hundreds or thousands of P3-triplets.

Note, however, that P3-triplets are not intended to be the only possible framework to help model the system. The primary intent is to establish context and a framework during the workshop.


<references/>

Retrieved from "https://wiki.aiisc.ai/index.php?title=ICMSE-MGI_Digital_Data_Workshop&oldid=6387"