航空航天极端环境材料AEROSPACE MATERIALS FOR EXTREME ENVIRONMENTS
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PURDUE Comer MICHIGAN Sundarar CMU DeGraef PURDUE Bauman
Object part: Object model is used to impose the global constraint. The parameters of the object describe the shape geometrically. Marked Point Process method
[Thrust 3]: Multi‐scale materials design using informatics.
DISTRIBUTION STATEMENT A – Unclassified, Unlimited Distribution
6
TOPIC AREA # 1: PREDICTIVE MATERIALS SCIENCE Combine Markov Random Field and Marked Point Process
8
TOPIC AREA # 1: PREDICTIVE MATERIALS SCIENCE Microstructure Representation using Markov Random Fields
Reconstruction method
Input: 2d (x‐,y‐,z‐ section) micrographs Output: 3d microstructure
Aerospace Materials
• • • • airframes and space vehicles leading edges; combustion energy capture and storage high temperature electronics
Extreme Environments
AEROSPACE MATERIALS FOR EXTREME ENVIRONMENTS
Date: 3 - 8 March 2014
Dr. Ali Sayir
Program Officer
Integrity Service Excellence
AFOSR/RTD Air Force Research Laboratory
1 P(u | y ) exp (u | y ) z ˆ ( wi )) min E ( xwi | y 1 exp [l ( y | wi ) ] t ( wi , w j ) z 1 wi , w j w wi w s D wi
• • • • High-speed flight (plasmas, surfaces) High temperature (engines, rockets) High electro-magnetic environment Combined Loads
Key Scientific Areas
PURDUE Comer MICHIGAN Sundarar CMU DeGraef PURDUE Bauman
Measured image model
MRF model
MPP model
Multiple Birth and Death algorithm is adopted to obtain the MAP configuration of u.
RD HPMW RX ICMSE
RQ HYPERSONIC
RY OXIDE EL.
TWO DECADES OF R&T INVESTMENT OUTCOME: • An arsenal of both destructive and non‐ destructive experimental techniques (atomic spatial and chemical resolution) • New capabilities produced massive data sets Very little property of this data has any influence on a given property
5 February 2014
DISTRIBUTION STATEMENT A – Unclassified, Unlimited DistributioATERIALS FOR EXTREME ENVIRONMENTS DESCRIPTION OF PORTFOLIO: To provide the fundamental knowledge required to enable revolutionary advances in future Air Force technologies through the discovery and characterization of materials that can withstand extreme environments.
Segmentation part
RXAS Drummy RXCM Groeber
DISTRIBUTION STATEMENT A – Unclassified, Unlimited Distribution
7
TOPIC AREA # 1: PREDICTIVE MATERIALS SCIENCE A Gibbs Process is introduced to Represent Segmentation Object Combination (SOC) Distribution
[Trust 1]: How can we compactly represent microstructure?
[Trust 2]: Mathematical quantification of
microstructures
Air Force Relevance
• Enabling Materials • Discovery of new materials • Digital Design
? What does matter is often completely nonstandard from the point of view of predictive design of materials.
ONR & NRL ARO & ARL
NASA & GRC, LaRC, JPL
NSF
A Segmentation Object Combination (SOC) is advanced to realize image analysis at pixel level and object level simultaneously. Define the SOC field Uu,i {wi , xwi } U is a SOC element.
DISTRIBUTION STATEMENT A – Unclassified, Unlimited Distribution
2
AEROSPACE MATERIALS FOR EXTREME ENVIRONMENTS
DIAGNOSTIC AND METROLOGY . . . . . . . . . . THERMAL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . PREDICTIVE MATERIALS SCIENCE
Segmentation part: Segmentation of the corresponding object is used to impose the local constraint. Markov Random Field method Object part
RXLMD Simmons
Super ellipse model is used for NiCrAl particle (2D) Result (Segmentation part) RXLMD Simmons RXAS Drummy RXCM Groeber
DISTRIBUTION STATEMENT A – Unclassified, Unlimited Distribution
DISTRIBUTION STATEMENT A – Unclassified, Unlimited Distribution
3
CHALLENGES AND STRATEGY
State of the art
LONG TERM GOAL: The ability to "digitally design" materials with microstructures that achieve optimal properties
• Predictive Materials Science • Materials Far from Equilibrium • Combined External Fields
Air Force Relevance
• Hypersonic flight • Combined Environments • Directed Energy
III. NEW INITIATIVE
DISTRIBUTION STATEMENT A – Unclassified, Unlimited Distribution
5
TOPIC AREA # 1: PREDICTIVE MATERIALS SCIENCE Microstructure Function & Sate of Material
Quantification of Microstructure NHSC - Textile Based Hybrid Composite
II. MATERIALS FAR FROM EQUILIBRIUM
Object part: Object model is used to impose the global constraint. The parameters of the object describe the shape geometrically. Marked Point Process method
[Thrust 3]: Multi‐scale materials design using informatics.
DISTRIBUTION STATEMENT A – Unclassified, Unlimited Distribution
6
TOPIC AREA # 1: PREDICTIVE MATERIALS SCIENCE Combine Markov Random Field and Marked Point Process
8
TOPIC AREA # 1: PREDICTIVE MATERIALS SCIENCE Microstructure Representation using Markov Random Fields
Reconstruction method
Input: 2d (x‐,y‐,z‐ section) micrographs Output: 3d microstructure
Aerospace Materials
• • • • airframes and space vehicles leading edges; combustion energy capture and storage high temperature electronics
Extreme Environments
AEROSPACE MATERIALS FOR EXTREME ENVIRONMENTS
Date: 3 - 8 March 2014
Dr. Ali Sayir
Program Officer
Integrity Service Excellence
AFOSR/RTD Air Force Research Laboratory
1 P(u | y ) exp (u | y ) z ˆ ( wi )) min E ( xwi | y 1 exp [l ( y | wi ) ] t ( wi , w j ) z 1 wi , w j w wi w s D wi
• • • • High-speed flight (plasmas, surfaces) High temperature (engines, rockets) High electro-magnetic environment Combined Loads
Key Scientific Areas
PURDUE Comer MICHIGAN Sundarar CMU DeGraef PURDUE Bauman
Measured image model
MRF model
MPP model
Multiple Birth and Death algorithm is adopted to obtain the MAP configuration of u.
RD HPMW RX ICMSE
RQ HYPERSONIC
RY OXIDE EL.
TWO DECADES OF R&T INVESTMENT OUTCOME: • An arsenal of both destructive and non‐ destructive experimental techniques (atomic spatial and chemical resolution) • New capabilities produced massive data sets Very little property of this data has any influence on a given property
5 February 2014
DISTRIBUTION STATEMENT A – Unclassified, Unlimited DistributioATERIALS FOR EXTREME ENVIRONMENTS DESCRIPTION OF PORTFOLIO: To provide the fundamental knowledge required to enable revolutionary advances in future Air Force technologies through the discovery and characterization of materials that can withstand extreme environments.
Segmentation part
RXAS Drummy RXCM Groeber
DISTRIBUTION STATEMENT A – Unclassified, Unlimited Distribution
7
TOPIC AREA # 1: PREDICTIVE MATERIALS SCIENCE A Gibbs Process is introduced to Represent Segmentation Object Combination (SOC) Distribution
[Trust 1]: How can we compactly represent microstructure?
[Trust 2]: Mathematical quantification of
microstructures
Air Force Relevance
• Enabling Materials • Discovery of new materials • Digital Design
? What does matter is often completely nonstandard from the point of view of predictive design of materials.
ONR & NRL ARO & ARL
NASA & GRC, LaRC, JPL
NSF
A Segmentation Object Combination (SOC) is advanced to realize image analysis at pixel level and object level simultaneously. Define the SOC field Uu,i {wi , xwi } U is a SOC element.
DISTRIBUTION STATEMENT A – Unclassified, Unlimited Distribution
2
AEROSPACE MATERIALS FOR EXTREME ENVIRONMENTS
DIAGNOSTIC AND METROLOGY . . . . . . . . . . THERMAL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . PREDICTIVE MATERIALS SCIENCE
Segmentation part: Segmentation of the corresponding object is used to impose the local constraint. Markov Random Field method Object part
RXLMD Simmons
Super ellipse model is used for NiCrAl particle (2D) Result (Segmentation part) RXLMD Simmons RXAS Drummy RXCM Groeber
DISTRIBUTION STATEMENT A – Unclassified, Unlimited Distribution
DISTRIBUTION STATEMENT A – Unclassified, Unlimited Distribution
3
CHALLENGES AND STRATEGY
State of the art
LONG TERM GOAL: The ability to "digitally design" materials with microstructures that achieve optimal properties
• Predictive Materials Science • Materials Far from Equilibrium • Combined External Fields
Air Force Relevance
• Hypersonic flight • Combined Environments • Directed Energy
III. NEW INITIATIVE
DISTRIBUTION STATEMENT A – Unclassified, Unlimited Distribution
5
TOPIC AREA # 1: PREDICTIVE MATERIALS SCIENCE Microstructure Function & Sate of Material
Quantification of Microstructure NHSC - Textile Based Hybrid Composite
II. MATERIALS FAR FROM EQUILIBRIUM
