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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: N68335-20-C-0146
Agency Tracking Number: N18A-013-0233
Amount: $999,991.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: N18A-T013
Solicitation Number: 18.A
Solicitation Year: 2018
Award Year: 2020
Award Start Date (Proposal Award Date): 2019-11-19
Award End Date (Contract End Date): 2022-09-08
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
 Xiaoliang (George) Zhao
 Director, Transportation & NDE Programs, Signal Processing and Controls
 (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) bring revolutionary capabilities and is very attractive to various commercial and military applications. However, metal AM often results in components with various defects, which may have decisive impact on their mechanical properties. To address this critical concern of AM quality, in this research, Intelligent Automation, Inc (IAI) will develop and implement a material qualification system for rapid identification of effect of defects in AM. An empirical database of defects and effects on mechanical properties will be developed based on precise experimental analysis and high-fidelity simulations. Adaptive Design of Experiments (DOE) will be utilized to minimize the number of simulations and experiments and provide uncertainty estimates over the results. This system also applies Resonant Ultrasound Spectroscopy as a rapid nondestructive inspection (NDI) tool to filter inadmissible defects. Phase II will focus on developing the comprehensive database, software and hardware integration, and system level component testing. It is envisioned that this system will provide great convenience for the quality control (QC) process of AM parts.

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

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