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Design of Easy-To-Use Structural Alloy Feedstocks for Additive Manufacturing

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911NF-20-C-0012
Agency Tracking Number: A2-7889
Amount: $999,984.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: A18B-T003
Solicitation Number: 18.B
Solicitation Year: 2018
Award Year: 2020
Award Start Date (Proposal Award Date): 2019-11-21
Award End Date (Contract End Date): 2021-11-19
Small Business Information
400 Young Ct. Unit 1
Erie, CO 80516-8441
United States
DUNS: 079973429
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jacob Nuechterlein
 (720) 545-9016
Business Contact
 Jacob Nuechterlein
Phone: (720) 545-9016
Research Institution
 Colorado School of Mines
 Karen Haines Karen Haines
1500 Illinois St.
Golden, CO 80401-1843
United States

 (303) 273-3910
 Nonprofit College or University

There is a military and industry need for easy-to-use, versatile alloys for metals additive manufacturing (3D printing) that print consistently regardless of the specific process or machine and without requiring in-depth metallurgical or manufacturing knowledge. Such capability is critical for soldiers to be able to make needed items on demand in the theater of war. In addition, the alloy will be highly useful for industry to produce prototype parts and as an ideal choice for general purpose use. Toward meeting this need, a CALPHAD and machine learning based framework was established and used to design a highly printable AM alloy with consistent property and microstructural reproducibility. Phase I demonstrated consistent grain structure and reproducible tensile strength within 5% between specimens. Phase II will expand the computational framework for optimized AM alloy discovery and expand testing to additional AM systems and feedstock lots. The designed alloys will be low-cost, readily available (defined by a robust U.S. supply chain), and “just work” with consistent properties. Phase II will design alloy composition and feedstock characteristics to (i) mitigate environmental effects, and (ii) exhibit consistent and useful properties through development of grain-refining phases. Statistical data will quantify the properties and reproducibility.

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

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