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Empirical Optimization of Additive Manufacturing

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: 80NSSC17C0018
Agency Tracking Number: 150267
Amount: $749,954.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: T12.04
Solicitation Number: N/A
Solicitation Year: 2016
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-09-27
Award End Date (Contract End Date): 2019-09-27
Small Business Information
1270 North Fairfield Rd.
Dayton, OH 45432-2600
United States
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Greg Loughnane
 Principal Investigator
 (937) 469-1678
Business Contact
 David Burton
Title: Business Official
Phone: (937) 241-9403
Research Institution
 University of Louisville Research Foundation, Inc.
 Lauren Goralski
300 East Market Street, Suite 300 \N
Louisville, KY 40202-1959
United States

 (502) 852-7253
 Domestic Nonprofit Research Organization

In this Phase II STTR project, the proposed collaborative effort between UTC, AFIT, and ULRF represents a crucial step forward for AM.  UTC’s unique AM optimization and process control framework, constructed entirely from experimental sensor data collected in-situ, will finally transfer technology from our SLM test bed system to state-of-the-art and commercial-grade systems, including a Concept Laser M2 Cusing and EOS M270 system.  UTC’s framework, which leverages a “physics-capturing” empirical black box built on correlations between in-situ data, input process parameters, output AM build characteristics, and machine variations will be used to quantify AM process uncertainty across these systems.  This Phase II project will show how seamlessly UTC’s technology can be integrated in to any SLM system to inform real-time output prediction for open loop (closed architecture) systems, and real-time process parameter selection and optimization for closed loop (open architecture) systems.

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

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