SBIR/STTR Research Award

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

Award identifier df860fc569f5589c7025b43147ac817fd824319fa195b6295195418545003044Awarding agency Department of Defense · Army

Award amount

$149,995

Program and phase

STTR · Phase I

Award year

2019

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
ELEMENTUM 3D, INC.
Proposal award date
2018-12-18
Contract end date
2019-06-17
UEI
HJ5TSFNC65K3
Solicitation number
18.B
Topic code
A18B-T003

Research abstract

There is a need for easy-to-use, versatile alloys for additive manufacturing that print consistently regardless of the specific process or machine, or the metallurgical and manufacturing knowledge of the user. Such capability is especially critical for soldiers to be able to make every day items on demand in the theater of war. Toward meeting this need, recent successes developing high performance aluminum and nickel-titanium based alloys for additive manufacture by aerospace and biomedical industries will be drawn upon to now instead develop low-cost, readily available (defined by a robust U.S. supply chain) and transportable feedstock for iron-based alloys that can be successfully manufactured by nearly anyone. These materials will print reliably across many wire-fed and powder-fed processes, and will require at most a 1-step heat treatment plus a simple chemical treatment after manufacture to be ready to use; no machining required. A modern Integrated Computational Materials Engineering (ICME) approach consisting of calculations using methods such as density functional theory (DFT) and calculated phase diagram (CALPHAD) will guide physical experiments. Data informatics will reduce the time and cost for alloy development cycles, taking advantage of sequential learning methods where step-by-step decisions are informed by statistical outliers and by uncertainty across the

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

14 SBIR/STTR records share this UEI (2017–2025). Reported award amounts total $7,621,575. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Science Foundation, National Aeronautics and Space Administration

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.