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Rapid Identification of Effects of Defects within Metal Additive Manufacturing (RIED-AM)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-18-C-0697
Agency Tracking Number: N18A-013-0233
Amount: $125,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N18A-T013
Solicitation Number: 18.A
Solicitation Year: 2018
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-08-01
Award End Date (Contract End Date): 2020-01-14
Small Business Information
15400 Calhoun Drive Suite 190
Rockville, MD 20855
United States
DUNS: 161911532
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Dr. Xiaoliang (George) Zhao Dr. Xiaoliang (George) Zhao
 Associate Director
 (301) 294-5232
Business Contact
 Mark James
Phone: (301) 294-5200
Research Institution
 Pennsylvania State University
 Dr. Todd Palmer Dr. Todd Palmer
College of Engineering, 112 Hammond Building
University Park, PA 16802
United States

 (814) 863-8865
 Nonprofit College or University

Additive manufacturing (AM) systems, especially metal AM, bring revolutionary capabilities, but suffer from a lack of understanding of the defects that exist within the components. In this research, based on selective experimental study and numerical simulations, we will develop an empirical database of defects and their effects on mechanical properties using Laser Powder Bed Fusion (LPBF) technology. The database can be applied to guide selection/rejection of AM components. Further, we propose utilizing Resonant Ultrasonic Spectroscopy (RUS) technique as a quick NDI tool for screening defective vs. acceptable parts. By applying lab testing, the RUS measurement results and the permissible defects can be mapped out so that RUS can be used as a pass/fail testing tool for the AM components produced. Additionally, we will utilize numerical simulations and adaptive Design of Experiments (DOE) to minimize the number of experiments and provide uncertainty estimates over results. In phase I, 316 SS or CP Titanium will be studied, and the research methodology will be applied to other material systems in Phase II. It is envisioned that the technology will provide great convenience for the quality control process of AM parts.

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

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