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Empirical Optimization of Additive Manufacturing

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX16CM22P
Agency Tracking Number: 150267
Amount: $123,687.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: T12.04
Solicitation Number: N/A
Solicitation Year: 2016
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-06-10
Award End Date (Contract End Date): 2017-06-09
Small Business Information
714 E. Monument Ave.
Dayton, OH 45402-1382
United States
DUNS: 000000000
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Joy Gockel
 Principal Investigator
 (937) 755-4656
Business Contact
 David Burton
Title: Business Official
Phone: (937) 241-9403
Research Institution
 Wright State University
 Ellen Reinsch Friese
3640 Colonel Glenn Highway
Dayton, OH 45435-0002
United States

 (937) 775-2425
 Domestic Nonprofit Research Organization

In this Phase I STTR project, pursuant to the Materials Genome Initiative (MGI) and Integrated Computational Materials Engineering (ICME) interests, the proposed collaborative effort between WSU and Advratech will represent the first AM optimization framework of its kind, constructed entirely from experimental sensor data collected in-situ. Rather than using in-process data to inform limited "physics-based" FE models or detect single defects long after a build is complete, this framework will leverage correlations between in-situ data, input process parameters, and output AM build characteristics to construct a "physics-capturing" empirical black box that can be used to quantify AM process uncertainty, analyze sensitivities of AM component outputs to both input process parameters and in-process information, and ultimately, to optimize each layer of SLM builds in real-time. In essence, this project will provide a wrap-around software package and optimization tool that combines each mode of in-process data to inform real-time process parameter selection based on one or more desired physical property outputs. It will be designed on our SLM R&D test bed, be seamlessly applicable to any SLM system (e.g., Concept Laser LaserCUSING, etc.), and more generally applicable to any AM system (e.g., NASA's EBF3) used to construct aerospace components.

* Information listed above is at the time of submission. *

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